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Population Ecology of Moringa
peregrina growing in Southern Sinai,
Egypt
Research · March 2016
DOI: 10.13140/RG.2.1.3984.8087
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3 authors, including:
Mohamed Zaghloul
Suez Canal University
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Mohamed Awad Dadamouny
University of Greifswald
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Available from: Mohamed Awad Dadamouny
Retrieved on: 21 August 2016
Abdelraouf A. Moustafa
Mohamed Saad Zaghloul
Mohamed A. Dadamouny
Population Ecology of Moringa peregrina
growing in Southern Sinai, Egypt
Botany Department,
Faculty of Science (Ismailia),
Suez Canal University, Egypt
2012
Table of Contents
Subject
I.
II.
III.
IV.
Page
Title- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Table of Contents -- - - - - - - - - - - - - - - - - - - - - - - - - - List of abbreviations - - - - - - - - - - - - - - - - - - - - - - - - List of species authors - - - - - - - - - - - - - - - - - - - - - - - List of Tables- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - List of Figures - - - - - - - - - - - - - - - - - - - - - - - - - - - - Abstarct - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Introduction - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Background - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1. Nomenclature - - - - - - - - - - - - - - - - - - - - - - 2. Systematic position - - - - - - - - - - - - - - - - - - 3. Morphology - - - - - - - - - - - - - - - - - - - - - - - 4. Anatomy - - - - - - - - - - - - - - - - - - - - - - - - - 5. Chemistry - - - - - - - - - - - - - - - - - - - - - - - - 6. Seed Viability and germination- - - - - - - - - - - 7. Habitats- - - - - - - - - - - - - - - - - - - - - - - - - - 8. Medicinal Uses - - - - - - - - - - - - - - - - - - - - - 9. Other Uses - - - - - - - - - - - - - - - - - - - - - - - - 9.1 As plant growth hormone - - - - - - - - - - - 9.2 As green manure - - - - - - - - - - - - - - - - - 9.3 As a food - - - - - - - - - - - - - - - - - - - - - - 9.4 As water purifier - - - - - - - - - - - - - - - - - 9.5 As a good source of oil - - - - - - - - - - - - - 10 Phenological aspects - - - - - - - - - - - - - - - - - 11 Distribution - - - - - - - - - - - - - - - - - - - - - - - -
I
II
VI
VIII
Review of Literature - - - - - - - - - - - - - - - - - - - - - - - Study Area - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
18
31
II
XI
XIII
XV
1
5
5
5
6
8
9
10
10
12
13
13
13
13
15
15
16
16
V.
1. Geology and Geomorphology of South Sinai - - - 2. Locations - - - - - - - - - - - - - - - - - - - - - - - - - - - I. Wadi Agala - - - - - - - - - - - - - - - - - - - - - - II. Wadi Feiran - - - - - - - - - - - - - - - - - - - - III. Wadi Zaghra - - - - - - - - - - - - - - - - - - - - IV. Wadi Me'ir - - - - - - - - - - - - - - - - - - - - - 3. Climate - - - - - - - - - - - - - - - - - - - - - - - - - - - 3.1. Rainfall - - - - - - - - - - - - - - - - - - - - - 3.2. Temperature - - - - - - - - - - - - - - - - - - 3.3. Relative humidity and evaporation - - - 3.4.Wind speed - - - - - - - - - - - - - - - - - - - 4. Hydrological aspects - - - - - - - - - - - - - - - 5. Vegetations - - - - - - - - - - - - - - - - - - - - - - 6. History of land-use and human activity - - - - - - - -
31
33
36
36
40
41
43
44
48
51
51
52
53
57
Materials and Methods - - - - - - - - - - - - - - - - - - - - - - I. Field Survey - - - - - - - - - - - - - - - - - - - - - - - II. Estimation of Age structure - - - - - - - - - - - - - a. Cutting cross sections - - - - - - - - - - - - - - - b. Age-radius relationship and age dating - - - c. Age structure and static life table - - - - - - - d. Survivorship curve - - - - - - - - - - - - - - - - - III. Determination of size structure - - - - - - - - - - a. Field measurements - - - - - - - - - - - - - - - - b. Height, annual increment and circumference
/height ratio - - - - - - - - - - - - - - - - - - -- - - - IV Soil characteristics - - - - - - - - - - - - - - - - - - - 1. Physical characteristics - - - - - - - - - - - - - - 1.1. Soil texture - - - - - - - - - - - - - - - - - - - 1.2. Moisture content - - - - - - - - - - - - - - - - 2. Chemical characteristics - - - - - - - - - - - - - -
61
61
64
64
64
66
68
69
69
III
69
70
70
70
70
72
VI.
2.1. Soil Organic matter - - - - - - - - - - - - - 2.2. Soil pH - - - - - - - - - - - - - - - - - - - - - - 3. Soluble salts - - - - - - - - - - - - - - - - - - - - - 3.1. Soil EC and salinity - - - - - - - - - - - - - - 3.2. Water soluble anions - - - - - - - - - - - - - 3.3. Water soluble cations - - - - - - - - - - - - 4. Total and available phosphorus - - - - - - - 5. Total Nitrogen - - - - - - - - - - - - - - - - - - V. Soil and relationship with tree age and size - - VI. Data treatment - - - - - - - - - - - - - - - - - - - - - -
72
72
72
72
73
74
75
75
76
76
Results - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I. Environmental parameters - - - - - - - - - - - - - II. Age structure of Moringa populations - - - - - a. Bark thickness, tree radius and number of rings
of cross sections - - - - - - - - - - - - - - - - b. Bark, radius & no. of rings of sampled trees c. Static life table - - - - - - - - - - - - - - - - - - - d. Survivorship Curve - - - - - - - - - - - - - - - - III. Size structure of Moringa populations - - - - - IV. Soil characteristic - - - - - - - - - - - - - - - - - - - 1. Nature of soil surface - - - - - - - - - - - - - - - 2. Physical characteristics - - - - - - - - - - - - 2.1. Soil texture - - - - - - - - - - - - - - - - - - - 2.2. Moisture content - - - - - - - - - - - - - - - 3. Chemical characteristics - - - - - - - - - - - - - 3.1. Soil Organic matter - - - - - - - - - - - - - 3.2. Soil pH - - - - - - - - - - - - - - - - - - - - - - 4. Soluble salts - - - - - - - - - - - - - - - - - - - - - 5. Total, available phosphorus and total nitrogen
77
77
80
V.
Soil and relationship with tree age and size - - IV
80
85
91
94
95
101
101
101
101
106
106
106
107
107
107
111
IV. Associated species - - - - - - - - - - - - - - - - - - -
113
VII. Discussion - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Conclusion - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Recommendations- - - - - - - - - - - - - - - - - - - - - - - - - - - -
114
146
148
VIII Summary - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - IX References - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - X. Appendices - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
150
154
192
V
List of abbreviations
AD
: Anderson-Darling normality test.
AA
: Alpha Amylase.
AP
: Available Phosphorus.
a.s.l
: Above sea level.
ax
: Number of individuals that survive to the age x.
C/H
: Circumference/height ratio.
CAG
: Circumference at ground level.
CC
: Correlation coefficient.
Cum
: Cumulative.
DBH
: Diameter at breast height.
Dm
: Drought monitor.
DF
: Defatted flour.
dx
: The number of individuals that die during stage x.
EC
: Electrical conductivity.
EEAA
: Egyptian Environmental Affairs Agency.
ex
: Probability of living 'x' number of years beyond a given
age.
FFA
: Free Fatty Acids.
Frq
: Frequency.
G
: Gebel.
GEF
: Global Environmental Facility.
GLC
: Gas Liquid Chromatography.
GPS
: Geographic position system.
IVPD
: In vitro protein digestibility.
LOI
: Loss on ignition
lx
: Survivorship; proportion of original cohort surviving to age x.
VI
Lx
: Average proportion alive at the age x.
MDF
: Moringa Defatted flour.
meq/L
: ml equivalent/Liter.
Mt
: Mountain.
NSS
: Nature of soil surface.
Nx
: Number of individuals living in age x.
PC
: Protein concentration.
PER
: Protein efficiency ratio.
PVA
: Population viability analysis.
Qx
: Age-specific mortality rate (chance of death).
r2
: Proportion of variation in the responses of regression.
SCU
: Suez Canal University
SOM
: Soil organic matter
SPSS
: Statistical Package for Social Sciences.
SD
: Standard Deviation.
SE
: Standard Error.
TA
: Trypsin Amylase.
TN
: Total Nitrogen.
TP
: Total Phosphorous.
TSS
: Total soluble salts.
Tx
: Total number of living individuals at age class x and
beyond.
UNDP
: United Nations Development Program.
UNESCO : United Nation Educational, Scientific and Cultural Organization.
W
: Wadi.
X
: Age entered by time of census in life table.
VII
List of species authors
Species
Author abbreviation
Author Name
Acacia ehrenbergiana
Acacia nilotica subsp. Indica
Acacia raddiana
Acacia tortilis subsp. Raddiana
Acacia tortilis subsp. Tortilis
Aerva javanica
Aerva javanica v. bovei
Amygdalus conumunis
Anabasis articulata
Anogeissus dhofarica
Anthemis psaudocotula
Artemisia judaica
Blepharis persica
Blepharispermum hirtum
Boscia senegalensis
Calotropis procera
Capparis deciduas
Capparis sinaica
Capparis spinosa.
Ceratonia oreothauma subsp.
Chrozophora oblongifolia
Chrozophora plicata
Citrullus colocynthis
Citrus aurantium
Citrus limon
Citrus mobilis
Cleome Arabica
Cleome droserifolia
Commiphora habessinica
Cucumis prophetarum
Diplotaxis acris
Fagonia Arabica
Fagonia mollis
Hayne
(L.) Willd. Ex Delile
(Miller) Savi
(Frossk.) Savi
(Forssk.) Hayne
Friedrich Gottlob Hayne
Carl Ludwig von Willdenow
(Philip Miller) Gaetano Savi
(Peter Forsskål) Gaetano Savi
(Peter Forsskål)
(Burm. f.) Juss. ex Schult.
(Nicolaas Laurens Burman)
(Brum. f.) Juss. ex (Webb.)
N.L. Burman, Philip Barker Webb
L.
(Forssk.) Moq.
Scott.
Lam.
L.
(Brum. F.) Kuntze
Oliv.
(Pers.) Lam. ex Poir.
(Ait.) Ait. f.
(Forssk.) Edgew.
Veill.
L
Hillc., Lewis & Verdc.
(Delile) Spring.
Carl Linnaeus
(Peter Forsskål)
Heinrich Wilhelm Schott
Jean-Baptiste Lamarck
Carl Linnaeus
(Nicolaas Laurens Burman)
Daniel Oliver
(Christiaan Hendrik Persoon)
William Aiton
(Peter Forsskål) Michael
Dominique Villars
Carl Linnaeus
John Hill, Meriwether Lewis,
(Vahl) A. Juss. ex Spreng.
(Martin Vahl)
(L.) Schrad.
L.
(L.) Burm. f.
Lour.
L.
(Forssk.) Delile
(O. Berg) Engl
L.
(Forssk.) Boiss.
L.
Del.
(C. Linnaeus) Heinrich Adolph
VIII
(Alire Raffeneau Delile) Antoine
Carl Linnaeus
(Linnaeus) Nicolaas L. Burman
João de Loureiro
Carl Linnaeus
(Peter Forsskål)
(Otto Karl Berg) Heinrich
Carl Linnaeus
(P. Forsskål) Pierre E.Boissier
Carl Linnaeus
Alire Raffeneau Delile
Farsetia aegyptia
Ficus carica
Ficus cordata subsp. salicifolia,
Francoeuria crispa
Haloxylon salicornicum
Hyoscymus muticus
Iphiona scabra
Juniperus excelsa subsp. polycarpos
Launaea spinosa
Lavandula stricta
Lawsonia inermis
Leptadenia pyrotechnica
Lindenbergia sinaica
Lycium arabicum
lygos raetam
Maerua crassifolia
Mentha longifolia spp. Typhoides
Moricandia sinica
Moringa aptera ---> M. peregrina
Moringa arborea
Moringa borziana
Moringa concanensis
Moringa drouhardii
Moringa erecta ---> M. oleifera
Moringa hildebrandtii
Moringa longituba
Moringa moringa --> M. oleifera
Moringa octogona --> M. oleifera
Moringa oleifera
Moringa ovalifolia
Moringa parvifolia --> M. oleifera
Moringa peregrina
Moringa polygona --> M. oleifera
Turra.
L.
Thunb. (Vahl) C.C.
(Forssk., Cas) R.Br.
(Moq.) Bunge ex Boiss.
L.
Dc.
M. Bieb. (K. Koch)
Dawson Turner
(Forssk.) Sch. Bip ex Kuntze
(P. Forsskål) Carl Ernst Otto Kuntze
Del.
L.
(Frossk.) Deene
(Decne.) Benth.
schwieinf.ex Boiss
Forssk., L.
Forssk. F.
Alire Raffeneau Delile
Carl Linnaeus
(Peter Forsskål)
George Bentham
Georg August Schweinfurth
Peter Forsskål, Linnaeus
Peter Forsskål
(L.) Huds., (Briq.) Harley
William Hudson, (John Isaac
(Boiss.) Boiss.
Pierre Edmond Boissier
Gaertn --> (Forssk.) Fior.
Joseph Gaertner , Adriano Fiori
Verdc.
Matt.
Nim. ex Dalz. & Gibs.
Jum.
Salisb ---> Lam.
Engl.
Engl.
(L.) Small --> Lam.
Stokes --> Lam.
Lam.
Dinter ex Berger
Noronha --> Lam.
Forssk. ex Fiori.
DC. --> Lam.
Bernard Verdcourt
Johannes Mattfeld
Nimmo, Nicol Alexander
Henri Lucien Jumelle
Richard Anthony Salisbury,
Heinrich Gustav Adolf Engler
Heinrich Gustav Adolf Engler
Moringa pterygosperma --> M. oleifera
Gaertn., nom. illeg -->
Joseph Gaertner , J.B. Lamarck
Moringa pygmaea
Verdc.
Bernard Verdcourt
IX
Carl Linnaeus
Carl Peter Thunberg (Martin
(Forsskål) Alexandre Henri Gabriel
(Christian Horace Bénédict
Carl Linnaeus
Augustin Pyramus de Candolle
Friedrich August Marschall
(Linnaeus) John Kunkel Small,
Jonathan S. Stokes, J.B. Lamarck
Jean-Baptiste Lamarck
Ernst Friedrich Berger
J.B. Lamarck
(Peter Forsskål)
A.P. de Candolle, J.B. Lamarck
Moringa rivae subsp. Longisiliqua
Moringa rivae subsp. Rivae
Moringa ruspoliana
Moringa stenopetala
Moringa zeylanica --> M. oleifera
Ochradenus baccatus
Olea europaea
Otostegia fruticosa
Peganum harmala
Periploca aphylla
Pesidium guajava
Phoenix dactylifera
Pituranthos tortuosus
Prumus domestica
Prunus Arabica
Prunus armeniaca
Prunus persica
Pulicaria arabica
Punica granatum
Pyrus conumunis
Pyrus malus
Reseda sp.
Retama raetam
Rhus somalensis
Senna italica
Sideroxylon mascatense
Solenostemma arghel
Sorghum sp.
Teucrium polium
Trigonella foenum-graecum
Vicia faba
Vitis vinifera
Zilla spinosa subsp.spinosa
Zygophyllum coccineum
Zygophyllum simplex
Chiov.
Chiov.
Engl.
(Baker f.) Cufodontis
Pers. --> Lam.
Del.
L.
(Frossk.) Penz.
L.
(Dcne.) Rech. f.,
L.
L.
Desf.,
L.
(Oliv.) Meikle.
L.
(L.) Batsch
(Forssk.) Oliv.
L.
L.
L.
L.
(Frossk.) Webb &
Engl.
Mill.
(A. DC.) T.D. Penn.
(Delile) Hayne
L.
L.
L.
L.
L.
(L.) Prantl
L.
L.
X
Emilio Chiovenda
Emilio Chiovenda
Heinrich Gustav Adolf Engler
(Edmund Gilbert Baker)
(Christiaan Hendrik Persoon)
Alire Raffeneau Delile
Carl Linnaeus
(Peter Forsskål) Georg
Carl Linnaeus
(Joseph Decaisne) Karl Heinz
Carl Linnaeus
Carl Linnaeus
René Louiche Desfontaines
Carl Linnaeus
Daniel Oliver Robert Desmond Meikle
Carl Linnaeus
(C. Linnaeus) August Johann
(Peter Forsskål) Daniel Oliver
Carl Linnaeus
Carl Linnaeus
Carl Linnaeus
Carl Linnaeus
Philip Barker Webb & Sabin
Heinrich Gustav Adolf Engler
Philip Miller
Leigh Humboldt Pennington
(Alire Raffeneau Delile) F. Hayne
Carl Linnaeus
Carl Linnaeus
Carl Linnaeus
Carl Linnaeus
Carl Linnaeus
(Linnaeus) Karl Anton Eugen Prantl
Carl Linnaeus
Carl Linnaeus
List of Tables
Table
: Moringa classess
1
2
3
4
5
6
Page
11
Nutritional Analysis of M. peregrina pods, fresh raw
: leaves, and dried leaf powder per 100 grams of edible
portion.
14
: Available meteorological data of St. Catherine and
El-Tor stations in Southern Sinai, Egypt, compiled
from different sources.
33
: Mean rainfall (mm), relative humidity (%),
temperature (ºC), and wind speed (m/s) recorded in
Saint Catherine from 2004 to 2007.
39
: Annual rainfall at some stations in South Sinai,
compiled from different sources (Abd El-Wahab,
1995 and 2003).
: Four wadis of the study area in which M. peregrina
45
46
8
trees were recorded.
: Minimum and Maximum temperature of Feiran Oasis
(Altitude 660m).
: The slope degree and scale.
9
: The percentage of soil constituents in soil surface
63
10
: Parameters of a static life table used in estimation of
survival and mortality rate of M. peregrina tree.
: Summary table of environmental setting data for the
sites in which M. peregrina was recorded.
: Descriptive statistics of average radii, bark thickness
and no of rings for M. peregrina cross-section.
: Descriptive statistics of average radii, bark thickness
and no. of rings for all sampled M. peregrina trees.
: Age structure of M. peregrina populations in the
7
11
12
13
14
XI
49
63
67
78
81
87
15
16
17
18
19
20
21
22
:
:
:
:
:
:
:
studied four wadis (W. Agala, W. Feiran, W. Zaghra
and W. Me'ir) and pooled population.
A static life table for M. peregrina populations at the
four studied wadis (W. Agala, W. Feiran, W. Zaghra
and W. Me'ir) and pooled population.
The descriptive statistics of the vegetative parameters
of M. peregrina populations in South Sinai.
Size structure of M. peregrina populations in the
studied four wadis (W. Agala, W. Feiran, W. Zaghra
and W. Me'ir) and pooled population.
Pearson correlation and linear regression between
size and age of M. peregrina tree.
Descriptive data and analysis of variance (one-way
ANOVA) of nature of soil surface (N.S.S.) and soil
parameters
Pearson correlation between age, size and soil
characteristics of M. peregrina tree.
Alphabetical species list of associated species with
M. peregrina populations in South Sinai.
: Summary table of age and size structures of M.
peregrina growing in South Sinai.
XII
89
92
96
99
100
102
112
113
126
List of Figures
Figure
Page
1
: Moringa peregrina tree growing in W. Zaghra S. Sinai.
7
2
: Morphology of Moringa peregrina tree.
7
3
: Annual rainfall of Saint Catherine and El-Tor (1971 -
2000) and the mean value.
4
: Climatic diagrams of Saint Catherine and El-Tor
stations in Southern Sinai.
5
: Location map of the four wadis of study area.
6
: The sites map of Moringa peregrina populations at the
four studied wadis in South Sinai.
7
35
37
37
: M. peregrina tree and nature of soil surface in Wadi
Agala, South Sinai.
8
34
42
: Population of M. peregrina tree and nature of soil surface
in W. Feiran, South Sinai.
42
9
: Population of M. peregrina trees at W. Zaghra, S. Sinai.
49
10
: Population of M. peregrina trees at W. Me'ir, South Sinai.
50
11
: Photos of annual rings counting to estimate the age of M.
peregrina trees growing in South Sinai.
12
65
: Soil analysis, (a) sample collection under the crown cover
of M. peregrina tree. (b) on the depth 15 - 25 cm, (c) EC
meter, (d) Flame Photometer, and (e) Auto-analyzer
71
Spectrophotometer.
13
: The elevations of M. peregrina in the four studied wadis
represented in meter above sea level.
14
79
: The slope degree of the sites at the four studied wadis
represented in degree.
79
15
: The measurements of sampled M. peregrina cross-cuts.
16
: Normality test for (a) radius, (b) bark thickness (cm) and
number of rings in sampled M. peregrina cross-cuts.
XIII
82
83
17
: Linear regression equation (a) between bark thickness
(cm) and radius, and (b) between radius and number of
84
annual rings of sampled M. peregrina cross-cuts.
18
: Normality test of radii (a) and estimated age for 404 trees
of M. peregrina in the studied four wadis.
19
86
: Age structure of M. peregrina tree (a) in pooled
90
population and (b) in the studied four wadis.
20
: Survivorship curve of Moringa peregrina populations.
21
: Size structure of M. peregrina tree populations (a) tree
94
height (m) (b) crown cover (m2), and (c) circumf./height in
South Sinai.
22
97
2
: Size structure [height (m), crown cover area (m ),
circumference (cm), and tree volume (m3)] of pooled
population of M. peregrina trees in South Sinai.
23
: Variations of the mean values of nature of soil surface
(N.S.S.) of the four wadis of the study area.
24
110
: Variation in the mean values (±SE) of total phosphorus
(TP) and total nitrogen (TN) in the soil of the four wadis
31-40
109
: Variations of the mean values (±SE) of soil salinity and
available phosphorus (ppm) in the four studied wadis.
30
108
: Water soluble cations of the pooled studied soil samples
(a), and the mean values (±SE) per wadi (b).
29
108
: Variations of the mean values of water soluble anions in
the soil of the four studied wadis.
28
106
: Variations of the mean values of soil pH (a) and electrical
conductivity (mS/cm) (b) per wadi.
27
105
: Variations of the mean values of moisture and organic
matter content (%) in the four studied wadis.
26
104
: Variations of the mean values of soil texture (sieving
method) of the four wadis of the study area.
25
98
: Appendices photos
110
193
XIV
Abstract
Several threats affect the existence of Moringa peregrina (Forssk.
ex Fiori) tree in South Sinai, such as over-cutting for different uses, overgrazing, and extremes of drought. The unmanaged utilization of this
valuable tree is very short-sighted and lead to high mortality, low
recruitment, and poor survival of seedling. To conserve M. peregrina
populations, it is necessary to understand the tree dynamics. The present
work aims to study the population dynamics of M. peregrina tree during
estimating the age structures and to reveal the relationship between the
size and age structures of its populations, in them in response to birth,
aging and mortality rate.
The study was carried out in four wadis of South Sinai; W. Agala,
W. Feiran, W. Zaghra and W. Me'ir. Forty-one sites include 404 M.
peregrina trees were surveyed in these wadis; 4 sites in W. Agala (40
trees), 5 sites in W. Feiran (47 trees), 6 sites in W. Zaghra (82 trees) and
26 sites in W. Me'ir (235 trees). In each site some physiographic
parameters were determined by GPS, and soil texture, soil analyses for
twenty soil samples around the trees were analysed. The linear regression
between radius (excluding the bark) and number of growth annual rings in
ninety-three cross-cuts was used to estimate the age structure.
The estimated ages were used to determine the age distribution and
construct a static life table. The age distribution of the studied populations
was used as a predictive tool to determine if the M. peregrina populations
in Southern Sinai are healthy or not. The age structure of populations
consisting of multiple cohorts was used to estimate the survival patterns of
the various age groups in the static life table. In addition, vegetative
parameters were measured as tree height (m), crown cover area (m2),
XV
trunk circumferences (cm), and circumference/height ratio to find out the
size structure and its relation with the age distribution.
The results of the linear regression showed a highly significant
relationship between the tree radius and growth rings which means that
the growth rings can be taken as regular time markers and could be used
for dating M. peregrina trees. The results suggest that M. peregrina in
Southern Sinai grows very slowly and the estimated oldest tree is about
382 years old. The static life table of M. peregrina revealed that M.
peregrina trees ≥ 180 years old in W. Agala, ≥ 100 years old in W. Feiran,
≥ 260 years old in W. Zaghra, and ≥ 240 years old in W. Me'ir have an
100% chance of death (qx = 1.00).
The survivorship curve of M. peregrina populations in South Sinai
represents type III of survivorship curves due to the high rate of mortality
among the young and the old trees. The Pearson correlation and linear
regression analysis revealed that the size (especially height and
circumference/height ratio) can be used to expect the age class of M.
peregrina tree in the studied wadis. The age structure results showed
unhealthy shrinking populations of M. peregrina trees with sharp decline
in the last 20-40 years. The study came out with a conclusion that unless
conditions change, these populations will permanently disappear. Based
on these results and looking for the future of the M. peregrina populations
in the studied area, conservation of this tree is highly recommended.
Keywords: South Sinai, Moringa peregrina, population dynamics, life
table, age structure, survivorship curve.
XVI
I. Introduction
Moringa is the sole genus of Moringaceae, with thirteen
species distributed throughout the dry tropics of the world (Al
Kahtani and Abou-Arab, 1993). M. peregrina (Forssk. ex Fiori) in
Egypt and in Saudi Arabia called “Yassar” or "Al-Ban". It contains
seeds that considered as a good source of oil. The oil is extracted by
boiling seeds with water and collecting the oil from the surface of
the water. The extracted oil is called “Al-Yassar”.
M. peregrina is one of the most endangered trees in world due
to over-cutting for different uses, however it is an important source
of browse, wood fuel and timber, and Over-grazing, where M.
peregrina has high quality as an animal fodder. In fact, grazing as
well as unmanaged human activities represent a great disturbance
for natural vegetation and threatening some rare species of
extinction, disappearance of pastoral plant communities (Moustafa,
2000a).
Threats affecting the existence of M. peregrina in Egypt,
especially in South Sinai includes: climatic aridity, especially in last
two decades, flower and seed-feeding insects, both are a dangerous
limiting factor in seed production and density of seedling of many
species such as Moringa tree grown in South Sinai (Abd El-Wahab,
1995), in addition to the infection of the old trunks. The fatal factor
which leads to completely disappear of M. peregrina is the failure
1
of its regeneration and establishment as young trees or young
populations. It is very hard to find any seedling of Moringa, so the
study of its population dynamics is very important. Furthermore, it
has high mortality rate, and low establishment, therefore the present
study focus on the study of its population dynamics.
The current situation is that M. peregrina consider a
vulnerable species, occurs under several threats. The partial
conservation of this tree is apparently difficult, due to overriding in
its use, since it has variable values as palatable crop to livestock. In
addition, they are not hesitating to destroy the trees for fuel, as well
as over-consuming of Moringa seeds in the folk medicine.
The conservation of M. peregrina tree is very necessary, to
overcome it's consuming by animals and Bedouins in South Sinai.
Zaghloul (1997) confirmed that measurements for protecting and
managing of the threatened species in South Sinai should be
preceded by intensive and extensive or long-term studies.
Moreover, over-grazing, over-cutting and all bedouin's activities in
Southern Sinai should be managed. Zaghloul (1997) recommended
that restoration of the endangered, threatened species by soil seed
bank and transplanting should be studied.
Since the age and size of M. peregrina trees in a population
may influence the function of the species in the ecosystem (Milton
and Dean 1995, 1999), any decline in scattered mature trees may
have serious implications for species diversity in the Southern Sinai.
2
In fact, there are no information on the demography of the species
(Wiegand et al., 1999; and Moustafa et al., 2001). Therefore, a
better understanding of the tree dynamics is fundamental to
conserve it and enjoy the benefits of sustainable management of its
populations. Therefore, demographic studies have been shown to be
useful in understanding the regulation of population numbers
(Silvertown, 1982), But for the plant populations with overlapping
generations, mortality, survival and reproduction tend to vary with
age or size of the individual plants (Goldstein et al., 1985; Harper
and White, 1970; Harper, 1980).
Furthermore, the survivorship curves reflect the mortality rate
of flower buds, flowers, seeds, and juveniles (Deevey, 1947).
According to Zaghloul et al., (2008), such relationships enable
determination of the age class distribution of the population and
consequently the dating of successful regeneration events, which
can then be related to record of climate and/or anthropogenic
practices, especially the climatic variations, soil properties, natural
and human-induced disturbance, and biological interactions
determine the rates of establishment, growth and mortality of the
different species in the community (Van Valen, 1975; Archer,
1994).
As confirmed by Moustafa et al., (2001) and according to
Springuel & Mekki (1994), Egypt has many problems when its
resources are abused through mismanagement rather than nurtured
through effective management. Effective and precise system of
3
management which can help to protect the left over of our natural
resources and let us have chance to find out the disappeared species
while they are being used, and consequently providing the
foundation for sustainable development.
The present study focuses on M. peregrina as one of the most
rarely species in South Sinai, which has high medicinal value and
biological importance as one of its biota. Why this species occurs
under threats? How to conserve it? What about its population
dynamics? What about the present status of M. peregrina
populations aging and sustainable use studies?
Therefore, the present work aims to study the population
dynamics of M. peregrina tree through:
1- Determining the actual demographic status by estimating the age
structures of M. peregrina populations in South Sinai.
2- Determining the size structures and reveal the relationship
between the size and age structures, along with the spatial and
temporal changes in them in response to birth, aging and
mortality rates.
3- Providing a static life table of M. peregrina populations in South
Sinai.
4- Investigating the distributional behavior of M. peregrina
populations in the study area.
5- Evaluating the threats which affect the establishment of M.
peregrina in its natural habitats.
4
II. Background
1. Nomenclature
Moringa peregrina belongs to the phenotypically varied
groups of angiosperms due to its size. It is the sole genus of
Moringaceae with thirteen species distributed throughout the dry
tropics of the World. Moringa spans a vast range of life forms
(habit). Moringa has different names; in Philippines, the leaves of
Moringa are cooked and fed to babies, it is called mother’s best
friend and "malunggay". Other names include the benzolive tree
(Haiti), horseradish tree (Florida) and drumstick tree (India)
(Somali et al., 1984). Its vernacular name (Arabic) is Habb ElYassar (El-Hadidi et al., 1991). According to Boulos (1999), the
synonyms of Moringa peregrina (Forssk. Fori) are Hyperanthera
peregrina Forssk., Moringa aptera Gaertn., Fruct., and Moringa
arabica (Lam.) Pers.
2. Systematic Position
According to Boulos (1999) and the system by Melchior
(1964), adapted than system of Engler, Moringa is classified as
follows:
Division: Angiospermae
Subdivision: Dicotyledoneae
Class: Archiclamydeae
Order: Papavarales
Family: Moringaceae
Floristic category: Afro-oriental, S. Arabian domains of
Sudano-Zambezian region with extension to the middle and SaharoSindian sub-regions (El-Hadidi et al., 1991).
5
3. Morphology
Moringa peregrina (Forssk. Fori) is a medium sized tree, 5-15
m tall (Duke, 1983; Boulos, 1999). It is deciduous, perennial tree
and its main root is thick. Its branches and stem are brittle with
corky bark, (Figure 1). Its trunk is erect, terete, branched, and
branches is divaricated or ascending, slender, forming avoid or
abavoid crown, green-glaucaus (El-Hadidi et al., 1991).
The leaves of M. peregrina are feathery, pale green,
compound tri-pinnate, 30-60 cm long with many small leaflets, 1.32.5 cm and 0.3-0.6 cm wide (Boulos, 1999). The leaflets are early
deciduous, simple, petiolate, glabrous on both surfaces, the blade is
ovate- oblanceolate, margin entire, and apex obtuse, sometimes
mucronate (Duke, 1983; El-Hadidi et al., 1991).
When M. peregrina seedlings start out, they have broad
leaflets and a large tuber. Through many dry seasons, the shoot dies
back below ground to the tuber. As the plant gets older, the leaves
get longer and longer, but the leaflets get smaller and smaller and
more widely spaced. Adult trees produce leaves with a full
complement of tiny leaflets, only to drop them as the leaf matures
(Olson, 1999).
Flowers of M. peregrina are fragrant, with white, creamy,
pinkish to pale, 2.5 cm in diameter, born in sprays, with five at the
top of the flower and stamens are yellow (Figure 2.a).
6
Figure (1): Moringa peregrina tree growing in Wadi Zaghra (South
Sinai).
(a)
(b)
(c)
(d)
Figure (2): Morphology of M. peregrina (a) flowering buds and
flowers, (b) green fruits in W. Zaghra (South Sinai), (c) dry
pods and (d) seeds.
7
In addition, flowers are panicles or pedicellate. The sepals
are oblong-lanceolate, acuminate, whitish. The color of the petals is
white-pinkish to pale (El-Hadidi et al., 1991).
The fruits (Figure 2.b) or pods of M. peregrina are pendulous
ridged, brown, triangular. The pod (Figure 2.c) splitting lengthwise
into 3 parts containing about 20-25 trigonous seeds embedded in the
pith. Pods are tapering at both ends, 9-ribbed. The seeds of M.
peregrina are dark brown with 3 papery wings (Figure 2.e) (Duke,
1983). Zahran and Willis (2009) stated that the pendulous
pods ripen in October. The angled nut-like white seed (behen nut)
are bitter-sweet nauseous taste and rich in oil (ben-oil) (Täckholm,
1974).
4. Anatomy
Based on the gross appearance, the genus of Moringa is
divided into four classes; bottle trees, slender trees, sarcorhizal trees
and tuberous trees. In case of slender trees (e.g. M. peregrina), the
stem is characterized by a preponderance of libriform fibres that
show little seasonal variation in shape with little axial parenchyma.
This pattern does not show variation, but in favorable season, the
early wood libriform fibres are sometimes replaced by confluent
aliform paratracheal parenchyma (Carlquist, 1988).
As in the arboreal life forms, the slender trees shows
alternating bands of liberiforms fibres and paratracheal axial
parenchyma, however in this slender trees, the parenchyma bands
8
are never wider than adjacent bands of fibres. This predomination
of liberform fibers makes the roots of the toughest in the genus. In
the trans- and radial sections, fibres of different shapes in slender
tree (e.g. M. peregrina) do not appear to occur in marked bands as
in most of other arboreal species. The fibres of M. peregrina may
occur in rings separated by aliform to the confluent aliform
parenchyma. Rays are differing through life forms mainly in size
and proportion of upright to square to procumbent cells. The
shortest multi-seriate rays were found in the slender trees (Olson
and Carlquist 2001). Tyloses were observed in all Moringa species.
Storing can be observed in all Moringa species but is most apparent
in area of extensive axial parenchyma or short libriforms fibres
(Olson and Carlquist 2001).
Based on gross appearance in the field, Moringa was divided
into four habitat classes, (Table 1). In case of slender tree (e.g. M.
peregrina) the stem characterized by a preponderance of libriform
fibres that show little seasonal variation in shape with little axial
parenchyma. Through this pattern does not show some variation, in
favourable season early wood libriform fibres are sometimes
replaced by confluent aliform paratracheal parenchyma.
9
Table (1): Shows the main classes of Moringa tree
(i) Bottle trees
(iii) Slender tree
1- M. drouhardii
7- M. peregrina
2- M. ovalifolia
8- M.oleifera
3- M. hildebrandti
9- M. concanensis
4- M. stenopetala
(iv) Tuberous shrubs
10- M. borziana
(ii) Sarcorhizal tree
5- M. arborea
11- M. longituba
6- M. ruspoliana
12- M. pygmaea
13- M. rivae
10
5. Chemistry
Moringa peregrina kernel (seed) contains 1.8% moisture,
54.3% oil, 22.1% protein, 3.6% fiber, 15.3% carbohydrate and 2.5%
ash. Moreover, the composition and characteristic of the extracted
oil were determined by Somali et al. (1984). Gas-liquid
chromatography of methyl esters of the fatty acids showed the
presence of 14.7% saturated fatty acids and 84.7% unsaturated fatty
acids. The fatty acid composition explains as follows: Palmitic
(9.3%), Palmitoleic (2.4%), Stearic (3.5%), Oleic (78.0%), Linoleic
(0.6%), Arachidic (1.8%) and Behenic (2.6%). Moreover, M.
peregrina is the uppermost for antioxidant (Yang et al., 2006a and
b).
6. Seed viability and germination
The soaking of M. peregrina seeds in diluted tetrazolium salt
(0.007 gm/L) showed that all seeds are viable (Abd El-Wahab,
1995). Although M. peregrina has hard woody testa, the highest
percentage (92%) of germination was obtained when M. peregrina
seeds were pre-soaked in water up to 24 hours (Abd El-Wahab,
1995). The seeds of M. peregrina gave a rapid and high germination
percent in few days without any pretreatment. After ten days at
25ºC, 90 % of M. peregrina seeds were germinated.
7. Habitats
Ranging from subtropical dry to moist through tropical very
dry to moist forest life zones, Moringa is reported to tolerate annual
11
precipitation of 4.8 to 4.3 dm (mean of 53 cases =14.1) annual
temperature of 18.7 to 28.5˚С (mean of 48 cases = 25.4) and pH of
4.5 to 8.0 (mean of 12 cases = 6.5) thrives in subtropical and
tropical climates, flowering and fruiting freely and continuously.
Thus, M. peregrina trees grow better on a dry sandy soil (Duke,
1983). Moringa is adapted to a wide range of soil types but it does
grow in well-drained loam to clavoloam. It does not withstand
prolonged waterlogging. It is observed to prefer a neutral to slightly
acidic soil reaction, but it has recently been introduced with
temperature ranges from 26 to 40c and annual rainfall at least at
least 500 mm. It grows well from sea level to 1000 m in elevation.
(VonMaydeU, 1986; and vonCarlowitz et al., 1991).
8. Medicinal uses
The roots, leaves, flowers and seeds of M. peregrina are used
in folk remedies for tumors (Hartwell, 1967, 69, 70 and 71). Pods
act as a de-wormer and treat liver and spleen problems and pains of
the joints. Due to the high protein and fiber content of pods, they
can treat malnutrition and diarrhea. The root of M. peregrina is used
for dropsy, and its juice is applied externally as rubefacient or
counter-irritant. Moreover, roots are bitter as a tonic to the body and
lungs, and are emmenagogue, expectorant, mild diuretic and
stimulant in paralytic afflictions, epilepsy and hysteria (Duke,
1983).
12
The leaves of M. peregrina are applied as poultice to sores,
for headaches, and said to have purgative properties and stop
bleeding. There is an anti-bacterial and anti-inflammatory effect
when applied to wounds or insect bites. Leaf tea treats gastric ulcers
and diarrhea. Bark, leaves and roots are acrid, pungent, and are
taken to promote digestion (Duke, 1987; Freiberger et al., 1998).
The flower juice of M. peregrina is useful for urinary
problems. Moreover, it improves the quality and flow of mothers’
milk. The seed oil is used for diarrhea and conversely it has a
laxative effect. Reported from the African and Hindustani Centers
of Diversity, Moringa was reported to tolerate bacteria, drought,
fungus, laterite, and mycobacteria, (Duke, 1978; Ramachandran et
al., 1980).
9. Other uses
9.1. as plant growth hormone
Juice from M. peregrina leaves can be used to produce an
effective plant growth hormone, increasing yield by 25-30% for
nearly any crop. One of the active substances in M. peregrina
leaves is Zeatin. It is a plant hormone related to the cytokinines.
This foliar spray should be used in addition to other fertilizers,
watering and agricultural practices (Fuglie, 2001a).
13
9.2. as green manure
Using M. peregrina as a green manure can significantly
enrich agricultural land. In this process, the land is first tilled,
Moringa seed is then planted 1-2 cm deep at a spacing of 10x10 cm
(about one million seed per hectare). After 25 days, the seedlings
are plowed into the soil to a depth of 15 cm. The land is prepared
again for the crop desired. Seed can be done mechanically if the
seed is first de-hulled. Planting kernels will reduce germination time
by up to three days. A simple method of seedling is to firstotill the
soil to a depth of 10 cm, then scatters seed over the soil and rototills
again to a depth of 2-3 cm (Fuglie, 2001b).
9.3. as a food
Nutritional analysis indicates that the leaves and pods of M.
peregrina contain wealth of essential and disease preventing
nutrients, as well as, all essential amino acids (Verma et al., 1976;
Freiberger et al., 1998) (Table 2).
14
Table (2): Nutritional Analysis of M. peregrina pods, fresh raw leaves,
and dried leaf powder per 100 grams of edible portion (Price, 1985;
Freiberger et al., 1998).
Pods
Fresh
Leaves
Dried
Leaf Powder
86.90%
26.0
2.5
0.1
3.7
4.8
2.0
30.0
24.0
110.0
259.0
3.1
5.3
10.0
137.0
75%
92.0
6.7
1.7
13.4
0.9
2.3
440.0
24.0
70.0
259.0
1.1
0.7
101.0
137.0
7.50%
205.0
27.1
2.3
38.2
19.2
2003.0
368.0
204.0
1324.0
0.6
28.2
0.0
870.0
Nutritional Analysis
Moisture (%)
Calories
Protein (g)
Fat (g)
Carbohydrate (g)
Fiber (g)
Minerals (g)
Calcium (mg)
Magnesium (mg)
Phosphorous (mg)
Potassium (mg)
Copper (mg)
Iron (mg)
Oxalic acid (mg)
Sulphur
VITAMINS CONTENTS
Vitamin A - B carotene (mg)
0.1
6.8
16.3
Vitamin B – Choline (mg)
Vitamin B1 – Thiamin (mg)
Vitamin B2 – Riboflavin (mg)
Vitamin B3 – Nicotinic Acid (mg)
Vitamin C – Ascorbic Acid (mg)
Vitamin E –Tocopherols Acetate (mg)
423.0
0.1
0.1
0.2
120.0
-
423.0
0.2
0.1
0.8
220.0
-
2.6
20.5
8.2
17.3
113
AMINO ACIDs CONTENTS
Arginine (mg)
Histidine (mg)
Lysine (mg)
Tryptophan (mg)
Phenylanaline (mg)
Methionine (mg)
Threonine (mg)
Leucine (mg)
Isoleucine (mg)
360.0
110.0
150.0
80.0
430.0
140.0
390.0
650.0
440.0
406.6
149.8
342.4
107.0
310.3
117.7
117.7
492.2
299.6
1325
613
1325
425
1388
350
1188
1950
825
Valine (mg)
540.0
374.5
1063
15
9.4. as water purifier
Seed powder of M. peregrina can be used as a quick and
simple method for cleaning dirty river water. The powder joins with
the solids in the water and sinks to the bottom. This treatment
removes 90-99% of bacteria contained in water. Using M. peregrina
to purify water replaces chemicals such as aluminum sulphate,
which has dangerous effects on people and the environment, and is
expensive (Jahn et al., 1986; VonMaydeU, 1986; and Fuglie, 1999).
9.5. as a good source of oil
Moringa oil deserves to be an important part in our diet. It is a
concentrated source of food energy and nutrients. The seeds of M.
peregrina were the source of "Bean oil" used by the Egyptians since
old and middle kingdoms (300-200B.C). The refined oil obtained
from Moringa seeds has a yellowish color, a sweet taste and
odorless, for this reason it was much estimated for preparing
cosmetics (Lucas, 1962). The bright yellow oil with a pleasant taste
has been compared in quality with olive oil. The kernel contains 3540% by weight of oil (Folkard & Sutherland, 2005).
Moringa seed has a fairly soft kernel, so the oil can be
extracted by hand using a screw press. The seed is first crushed,
10% by volume of water is added, followed by gentle heating over a
low fire for 10-15 minutes, taking care not to burn the seed (e.g. 11
kg of kernels yielded 2.6 liters of oil, or 52 kg of seeds yielded 12.5
liters of cold pressed oil using a motor-driven screw-type). In some
countries (e.g. Oman), they soak the seed overnight to allow the oil
16
to separate from the water. After the oil is extracted, the rather bitter
tasting presscake still has all the properties of fresh seed in treating
and cleaning water. With 60% protein content, it may be used as a
soil fertilizer and further studies are looking at how it could be used
as part of animal and poultry feed, (VonMaydeU, 1986; Folkard &
Sutherland, 2005).
10. Phenological aspects
M. peregrina becomes flowering in March and April. Unripe
fruiting period occurs from April to June. Ripe pods can be
collected in the end of June and July. Mature tree produces about
150 pods of 10 to 15 seeds per each (1700 seeds/1 kg.), December
and January are the dry period of M. peregrina tree (Abd El-Wahab,
1995).
11. Distribution
M. peregrina is native to India, Arabian Peninsula, and
possibly Africa and as far north as the Dead Sea (Duke, 1983;
Fuglie, 1999). It is recorded from Ethiopia and Somalia, northwards
to the Sudan and eastwards to Arabia. It is also recorded in
Palestine and Jordan (Fuglie, 1999). Globally, it grows in Northeast
Africa and Southwest Asia (Boulos, 1999).
In Egypt, M. peregrina grows into the Red Sea region,
according to Kassas and Zahran (1962), M.Peregrina is confined to
the feet of the mountains that are higher than 1300-1500m., it
17
extending from Gebel Abou-Dukhan (lat. 27º 20′ N) to Gebel ElFaryid (lat. 23º 30′ N) (El Hadidi et al., 1991). Zahran and Willis
(2009) stated that M. peregrina is confined to the upstream parts of
wadis draining the slopes of the higher mountains. Moreover, M.
peregrina scrub is represented by patches that cover limited areas of
the upstream runnels of the drainage systems. These are runnels
collecting water at the foot of the higher mountains. Thus M.
peregrina is a desert species; its occurrence in Egypt is restricted to
the mountains of the Red Sea and south Sinai. The ground where M.
peregrina grows is usually covered with coarse rock debris,
characterizes the upstream runnels at the mountain bases and slopes
(Kassas and Zahran, 1971).
Zahran and Willis (2009) stated that M. peregrina is present
on the higher zones of the north-facing slopes of the mountain of
the Red Sea coast, especially Gebel Shindodai, it is also present
within the mountains of Samiuki, Nugrus and Shayeb groups. The
ground where M. peregrina grows is usually covered with coarse
rock detritus. The restriction of M. peregrina to the foot of the
higher mountains indicates that the high altitude leads to greater
water resources. It is also recorded in South Sinai in limited area at
Feiran Oasis Mountains. It grows in crevices and rocky slopes of
mountains. Its wild populations have been reduced to a few
populations distributed in South Sinai, the Eastern Desert and Gebel
Elba in southeastern Egypt (Abd El-Wahab, 1995). Moreover, the
west-facing escarpments of Gebel Serbal are rich in M. peregrina
trees, which grow on rocky slopes near springs (Danin, 1999).
18
III. Review of Literature
Kjaer et al., (1979) studied the isothiocyanates in myrosinasetreated seed extracts of Moringa peregrina. They discovered that M.
peregrina seeds treated with myrosinase produce 2-propyl, 2-butyl
and 2-methylpropyl isothiocyanate, in addition to 5,5-dimethyloxazolidine-2-thione. All of these compounds are new to the family,
but known as natural derivatives from other sources. On the other
hand, 4-(4'-O-Acetyl-alpha-L-rhamnosyloxy) benzyl isothiocyanate
together
with
substantial
quantities
of
its
non-acetylated
counterpart, earlier recognized as a component in hydrolysed seeds
of M. oleifera, constituted the additional mustard oils observed in
M. peregrina seeds (Kjaer et al., 1979).
In 1984, Somali et al., studied the chemical composition and
characteristics of M. peregrina seeds and seeds oil. They revealed
that M. peregrina kernel contains 1.8% moisture, 54.3% oil, 22.1%
protein, 3.6% fibres, 15.3% carbohydrate and 2.5% ash.
Composition and characteristics of the extracted oil were
determined. GLC of methyl esters of the fatty acids shows the
presence of 14.7% saturated fatty acids and 84.7% unsaturated fatty
acids. Fatty acid composition is as follows (%): palmitic 9.3,
palmitoleic 2.4, stearic 3.5, oleic 78.0, linoleic 0.6, linolenic 1.6,
arachidic 1.8 and behenic 2.6. M. peregrina therefore has potential
as a new source of fat and protein.
18
The trail of find out M. peregrina seeds in a seed bank was
studied by Prendergast (1994a and b) during four expeditions to
Oman (two for the southern province of Dhofar and two for the
mountain ranges of Jebel Akhdar and Eastern Hajar). Moreover,
seed germination was studied by Moustafa et al. (1996). According
to them, seeds of M. peregrina and Salvadora persica showed rapid
and high germination. After ten days at 25ºC, all seeds of Moringa
peregrina were germinated (Abel Wahab, 1995).
The role of seed as water purifier had been articulated by Jahn
(1981, 1984 & 1986) and Jahn et al. (1986), who described
Moringa as the tree that purifies water; cultivating multipurpose
Moringaceae in the Sudan. This article tabulates the uses and
locations for the most important six Moringa species (M. peregrina,
M. oleifera, M. stenopetala, M. longituba, M. drouhardii and M.
ovalifolia).
Jahn (1986), experimented water treatment with traditional
plant materials from Sudan including seeds of five Moringa species
(M. peregrina, M. oleifera, M. stenopetala, M. longituba and M.
drouhardii), two bean species (Vicia faba and Faba fona) and
fenugreek (Trigonella foenum-graecum); bark of the tree Boscia
senegalensis; and dried stalks and fruits of the herb Blepharis
persica. Three clays (or 'rauwaq' = clarifier) from different regions
in
the
Sudan,
and
alum,
were
also
tested.
The
best
coagulants/clarifying agents were M. peregrina seeds and B.
senegalensis bark; these often had efficiency similar to alum.
19
Madsen et al. (1987) studied an effect of water coagulation by
seeds of Moringa on bacterial concentrations. Morover, Kalogo et
al. (2000) studied the effect of a water extract of Moringa seeds on
the hydrolytic microbial species diversity.
Moringa peregrina seed oil (53.9%) was investigated and
compared with crude soybean oil by Al-Kahtani (1993). Oils were
easily extracted by several solvents but the extraction rate of M.
peregrina oil with hexane was slightly faster than that of soybean
oil. All physico-chemical constants but free fatty acids (%FFA)
were lower in M. peregrina oil. The highest transmittance for calor
measurement was at 575 nm for M. peregrina oil and at 600 nm for
soybean oil. Total lipids consisted of 90.5% and 91.8% neutrallipids
(NL), 7.9% and 5.5% glycolipids (GL), and 1.6% and 2.7%
phospholipids (PL), for M. peregrina and soybean oils, respectively,
and their fatty acid composition was determined. NL consisted
mostly of triacylglycerols in both oil; with absence of mono-and
diacylglycerols in M. peregrina oil. Separation patterns of GL and
PL were nearly identical and at least five phospholipids were
identified. Phosphorus levels by nephelometry (turbidimetry) were
129.7 and 421.8 ppm for M. peregrina and soybean oils,
respectively. Much lower levels of alpha, gamma and delta
tocopherols were present in M. peregrina oil and consequently its
oxidative stability was lower during 30-day incubation period at
100ºC.
20
Anatomical
studies
are
very
few,
it
needs
further
investigation. Al-Gohary & Hajar (1996) studied the stems and
leaves of M. peregrina at different levels of soil moisture content
within the range between permanent wilting percentage and
moisture equivalent. The diameter of stem gradually increased with
increase of water supply which generally led to progressive
formation of vascular elements as well as cortical and pith tissues.
In arid region, M. peregrina showed tendencies towards
xerophytic adaptation. The leaves are covered with remarkedly
dense trichomes, relatively increased in the values of stomatal
frequency and index, and a reduction in the proportion of the air
spaces in Mesophyll tissue. Such decrease in coefficients of
mesophytic characteristic of the species gradually disappeared with
the increase of the soil moisture content. The variation in water
supply led only to quantitative changes of the micro-morphological
attributes of the species but no qualitative modifications took place
(Al-Gohary & Hajar 1996).
Moreover, the epidermal cells of M. peregrina are
tangentially and radially elongated. Trichomes are eglandular and
unicellular. Mesophyll is a dorsoventral type. Palisade tissue of 1-2
layers which are discontinuous adaxially at the midrib region. Medvein is crescent-shape and surrounded by parenchymatous sheath.
Mechanical tissue of collenchyma was recorded abaxial and adaxial
at the midrib region.
21
It is obvious that various anatomical changes were obtained in
stems and leaves of M. peregrina in response to variation of
available soil moisture content. The diameter of stem increased
gradually as water supply increased. Such factor is usually a feature
concomitant to increase of soil moisture (Al-Gohary & Hajar 1996).
During the course of their study, the number of parenchymatous
layers of cortex progressively increased with increase in available
moisture from the lowest level (0-5%) to the highest (95-100%) also
gradually increased of sclerenchymatous mass of pericycle, phloem,
xylem elements, as well as the diameter of pith was observed to
accompany the elevation in the soil moisture content. Furthermore,
xylem and phylum were in the form dictyostele with much reduced
medullary rays in the stem of plants growing under low moisture
level (0-5%) (Al-Gohary and Hajar, 1996).
Olson and Carlquist (2001) studied stem and root anatomical
correlations with life form diversity, ecology, and systematics in
Moringa. A study was conducted to examine the variation in stem
and root anatomy associated with habit in thirteen species of
Moringa to test the assumption that habitat differences are
associated with anatomical differences. Moringa species are
classified into four types according to the gross appearance; bottle
trees, sarcorhizal, slender trees, and tuberous shrubs (Olson and
Carlquist 2001). They revealed that the slender trees (such as M.
peregrina) have slender trunks at maturity and tough, fibrous roots
with smoother, spongier and more fragile bark than the stem.
22
Jahn (1986) studied the germination and cultivation
techniques of Moringa tree. She describes the uses of Moringa as a
multipurpose species. The status of Moringa in its country of origin
is outlined and an account given of its introduction to the Sudan.
Cultivation experiments on the species in Sudanese nurseries were
described
in
detail
and
include
germination
studies,
the
development of seedlings to fruit-bearing trees (planting, tending,
flowering, fruiting), and vegetative propagation from cuttings and
air layering. The results of Sudanese experiments on the
propagation of M. peregrina and four wild species (M. oleifera, M.
stenopetala, M. drouhardii and M. longituba) are discussed. An
account is given of insect pests of Moringa in relation to
defoliation, damage to buds and fruit, damage to the trunk and to
cuttings.
The seeds of M. peregrina require little or no pretreatment
prior to germination with viability rates for fresh seeds having been
reported to be up to 80% reducing to approximately 50% after 12
months storage. Seeds may be sown directly or in seed beds with
transplanting after two to three months. The best time of year for
sowing is reported to be at the beginning of the wet season. If
planted out during the dry season half-shade should be provided and
watering should be carried out regularly until the tree is established.
Watering every other day has been reported to increase the drought
tolerance of the tree, (Jahn et al., 1986).
23
M. peregrina is easy to propagate by seeds. Seedlings of M.
peregrina were transferred from Petri-dishes to seed bed containing
the mixture of equal volumes of sand and clay (Abd El-Wahab,
1995). Establishment of M. peregrina particularly showed a low
percent of success especially when the plants out of the nursery.
Abd El-Wahab (1995) confirmed that this problem needs further
studies and experiments.
Olson (2002) combined the data of DNA sequences and
morphology for a phylogeny of Moringaceae. He showed that with
just thirteen species, Moringa is for its size one of the most
phenotypically varied groups of angiosperms. It ranged from huge
"bottle trees" to tiny tuberous shrubs, and spanning the range from
radial to bilateral floral symmetry. Moringa is currently divided into
three sections, but because of the basal grade, it cannot be divided
into useful monophyletic infra-generic taxa. The phylogeny-based
informal terms "bottle tree grade", "slender tree clade", and
"tuberous clade" are suggested as alternatives. Relationships within
Moringa species were found to be largely congruent with a previous
study of wood anatomy.
According to Duke (1983); the Moringa leaves contains 7.5
H2O, 6.7gm protein, 1.7gm fat, 1.3gm total carbohydrates, 0.9 gm
fiber, 2.3 gm ash, 440 mg Ca, 70 mg P, 7 mg Fe, 110 μg Cu, 5.1 μg
I, 11.300 IU vitamin A, 120 μg vitamin B. On the other hand, Das
(1965) showed that M. peregrina leaves on ethanolic extraction
yielded a number of amino acids (aspartic acid, glutamic acid,
24
serine, glycine, threonine, alanine, valine, leucine, isoleucine,
histidine, lysine arginine, phenylalanine, tryptophan, cysteine and
methionine). The later nine amino acids present in the flowers and
in the fruits. The flowers contained both sucrose and D-glucose,
whereas the fruits showed the presence of sucrose only.
The leaves contain 0.8 mg nicotinic acid, 220 mg ascorbic
acid, and 7.4 mg tocopherol per 100 gm (Duke, 1983). Estrogenic
substances, including the anti-tumor compound, β-sitosterol, and a
pectinesterase are also reported
Moreover, Duke (1983) studied the chemistry of the pods. It
can be summarized as follows: each 100 gm contain 86.9 gm H2O,
2.5 gm protein, 0.1gm total carbohydrates, 4.8gm fiber, 2.0gm ash,
30 mg ca, 110 mg P, 5.3 mg Fe, 184 IU vitamin A, 0.2 mg niacin,
and 120 mg ascorbic acids, 310 μg Cu, 1.8μg I.
In 1993, Al-Kahtani and Abou-Arab studied the physical,
chemical, and functional properties of M. peregrina and soybean
proteins. According to their study, the young seeds of M. peregrina
are eaten like peas and the mature seeds are fried or roasted like
groundnuts. Flours of M. peregrina and soybeans were individually
defatted and fractionated into protein concentrate and protein
isolate. M. peregrina flour contained more oil than soybean flour
but was lower in proteins, carbohydrates and ash. Furthermore, M.
peregrina protein concentrate also contained less protein and more
carbohydrate.
25
M. peregrina proteins were somewhat less soluble than
soybean proteins, even at higher pH values. Emulsion capacity of
M. peregrina products was generally higher than that of soybean
products at all pH values, while emulsion stability of soybean
products was generally higher, particularly at pH 2 and 10.
Maximum increase in foam volume was observed at pH 2. At pH 46, the foam stability of M. peregrina protein isolate was greater, but
the foam stability of its protein concentrate was lower than soybean
proteins. Soybean protein concentrate absorbed significantly more
water, while M. peregrina products absorbed more oil (Al-Kahtani
and Abou-Arab, 1993).
Al-Kahtani (1995) studied the antinutritional factors in M.
peregrina and soybean products. M. peregrina and soybean defatted
flours, protein concentrates and isolates were assayed for trypsin
(TA) and alpha-amylase (AA) inhibitor activities, phytic acid,
tannin and chlorogenic acid contents, and in vitro protein
digestibility (IVPD). TA in M. peregrina defatted flour (MDF) was
lower (P<0.05) but more heat resistant than in soybean. AIA in
MDF was lower than in soybean and inhibited pancreatic amylase
more than bacterial amylase. Some M. peregrina products were
higher in phytic acid but lower in chlorogenic acid than soybean.
Tsaknis (1998) studied the oil content of M. peregrina seeds
from Saudi Arabia which was 49.8%. Characteristics of the oil
included: density at 24°C 0.906; refractive index at 40°C 1.460;
smoke point 199°C; acidity (as oleic acid) 0.30%; saponification
26
value, 185 mg KOH/g oil; iodine value, 69.6 g iodine/100 g oil; and
peroxide value, 0.4 m-equivalent O2/kg oil.
The predominant unsaturated fatty acid was oleic acid
(70.52%) followed by gadoleic acid (1.5%). The predominant
saturated fatty acid was palmitic acid (8.90%) followed by stearic
acid (3.82%). The main sterols were beta-sitosterol (27.28%),
stigmasterol
(26.79%),
campesterol
(25.47%)
and
Delta-5-
avenasterol (10.18%). Other sterols present included 24-methylene
cholesterol,
brassicasterol,
campestanol,
Delta-7-campestanol,
clerosterol, Delta-5-, -2-4-stigmastadienol, Delta-7-stigmastanol &
Delta-7-avenasterol. The oil contained 145 mg alpha-tocopherol/kg,
58 mg gamma-tocopherol/kg and 66 mg delta-tocopherol/kg.
Induction period (at 120° C) of the oil was 10.2 h; this was reduced
to 8.1 h after degumming (Tsaknis, 1998).
Tsaknis (1998) revealed that the high resistance of M.
peregrina oil to oxidative rancidity is related to its high tocopherol
content.
It is concluded that M. peregrina oil might be an
acceptable substitute for highly monounsaturated edible oils such as
olive oil.
On the other hand, in 1998, Abu Tarboush investigated the
effects of gamma-irradiation (1.0-10 kGy) on trypsin, chymotrypsin
and alpha-amylase inhibitors of soyabean and M. peregrina seeds
on tannin of Sorghum, gossypol of cotton seed, and in vitro
digestibility of soyabean. A dose of 10.0 kGy caused decreases in
27
trypsin (by 34.9%) and chymotrypsin (by 71.4%) inhibitor activities
in soyabean defatted flour, whereas its in vitro digestibility
increased from 79.8 to 84.2%. The alpha-amylase inhibitor activity
of M. peregrina was decreased by 43.6 and 47.8% on treatment
with 7.0 and 10.0 kGy, respectively. Doses of 10.0 and 7.0 kGy
significantly reduced the tannin content in Shahlla sorghum but not
in Hemaira sorghum. Total and free gossypol contents were slightly
reduced by irradiation. Furthermore, Al-Othman et al (1998)
studied the effect of seed oils of M. peregrina on the plasma lipid of
Rates.
Al-Hussain and Al-Othman (2003) studied the amino acid
composition of Al-Ban (M. peregrina) seed products; also they
studied the effects of antinutritional factors and toxic elements on
biological evaluation of M. peregrina seed protein. The first study
detected on presence of anti-nutritional factors (e.g. proteinase
inhibitors, tannins and phytic acid) and toxic elements (e.g. lead,
mercury and arsenic) in M. peregrina seeds. It also aimed to
determine protein digestibility and protein efficiency ratio (PER) in
mice fed with these seeds and to evaluate the effect of feeding M.
peregrina seeds on the liver tissues of mice.
Al-Hussain and Al-Othman (2003) also found that the protein
percentages in M. peregrina defatted flour (DF), protein concentrate
(PC) and protein isolate (PI) were 59.7, 67.3 and 80.0%,
respectively. The trypsin inhibitor activities of DF, PC and PI were
11.72, 9.74 and 6.85 inhibitor unit/mg protein, respectively. The
28
phytic acid levels were 1.90, 1.92 and 1.81%, respectively. Soaking
of Al-Ban seeds in water, followed by boiling, effectively reduced
trypsin inhibitor and phytic acid levels. The amounts of arsenic,
mercury and lead found in Al Ban seeds were < 0.30, < 89 and <
0.25 µg/g, respectively.
Specific studies related to conservation are carried out since
1995, starting with a reproductive ecology, studying of wild
endangered trees and shrubs in South Sinai (Abd El-Wahab, 1995).
He aimed to help in regeneration and rehabilitation of the
destructive vegetation, soil protection, and reduction of dangerous
effects of floods throughout the area. The vegetation potentially and
the aspects of ecological destruction in Saint Catherine mountains
area was studied by Ramadan (1995). He devoted a special
emphasis to the endangered plant species, whether as endemic
and/or rare populations, (Zaghloul, 2003).
M. peregrina is one of seven species studied by Moustafa et
al., (1996). Their study aimed to investigate the relationships
between the distribution of the species and physical environmental
factors. They indicated that altitude, nature of soil surface and soil
texture, which all act on the amount of available moisture, and
salinity, were the main physical factors controlling the distribution
of woody plant communities.
Zahran and Willis (2009) stated that Moringa peregrina
community contains the following xerophytic associated species:
29
Acacia raddiana, Aerva javanica, Artemisia judaica, Capparis
cartilaginea, C. decidua, Chrozophora plicata, Cleome droserifolia,
Fagonia mollis, Francoeuria crispa, Hyoscyamus muticus, Launea
spinosa, Lavandula stricta, Leptadenia pyrotechnica, Lindenbergia
sinaica, Lycium arabicum, Ochradenus baccatus, Periploca
aphylla, Zilla spinosa, and Zygophyllum coccineum.
30
IV. The Study Area
1. Geology and Geomorphology of South Sinai
The southern part of Sinai is generally composed of a broad
belt of dark-colored purplish or reddish sandstones. To the south,
there is a triangular mass of mountains formed of igneous and
metamorphic rocks chiefly granites. This mass of mountains is
intensively rugged and dissected by a complicated system of deep
wadis with different landforms and irregular topography (Moustafa,
1990; and Said, 1990). In addition, some of wadis in South Sinai
reach a considerable length e.g. Wadi Feiran (one of the studied
wadis in this study area) and some are shorter, narrow, steeper and
represent tributaries of the main wadis (e.g. Wadi Sa'al) (Shabana,
1988). Progressing inland, the wadis become deeper and the
igneous hills become higher.
In the triangular southern mass of mountains, the igneous
complex has been relieved of its sandstone overburden and so
manifests the characteristics of a true mountain range (Said, 1990).
This range is divided into four clusters of peaks; Serbal Mount in
west (2070 m a.s.l.), Mousa Mount (2285 m a.s.l.), Catherine Mount
(2641 m a.s.l.) as a group in the center and Um Shomer Mount
(2586 m a.s.l.) in south. It represents a series of mountains at
different elevation with four large valleys (Said, 1990; Moustafa,
1990). Due to the Massif Mountains in the center, South Sinai has a
wide range of altitudinal variation. The altitudinal gradient
decreases from Saint Catherine area going eastward till Gulf of
Aqaba and westward till Gulf of Suez (Abd El-Wahab, 2003).
31
The geomorphology of Sinai was summarized as a plateau
tiling upwards the south (Zohary, 1973; Said, 1990). Hammad
(1980) divided Sinai into seven main geomorphologic districts; the
southern elevated mountains part, the central paleaux, the hilly area,
the north and north-most coastal plain, the marshy and sabakhas, the
alluvium coastal plains, and lakes. The geomorphology of the study
area forms a part of highly rugged mountains with acid plutonic and
volcanic rocks. These rocks belong to the Precambrian basement
complex of the southern part of Sinai which is dissected by a
numerous incised wadis that are everywhere showing signs of
down-cutting (Said, 1990). Due to the high altitude of Sinai
Mountains, the southern section receives ample rainfall which has
produced wadis (Zahran and Willis, 2009). For example, W. Feiran
and W. Me'ir are wide and relatively rich in vegetation.
The landscape of the study include many landform types;
slopes, gorges, and wadi-bed. Slopes comprise all land surfaces,
ranging from the horizontal to vertical (Holmes, 1984; Moustafa
and Klopatek, 1995). They originate by a combination of tectonic
and erosion activity, thus uplifting or faulting provides slopes.
Georges originate from joints or faults. Joints are fracture surfaces
along which there has been unpredicted movement, and along
adjacent slabs and masses of bedrock join (Davis, 1984). The term
wadi designates a dried riverbed in a desert area (Kassas, 1954). A
wadi may be transformed into a temporary watercourse after heavy
rain (Kassas, 1954). Wadi bed is covered with alluvial deposits with
different thickness and structure from location to another. The soil
32
is usually composed of the same composition as the parent rocks
and varied in texture from fine silt or clay to gravels and boulder
(Kassas, 1952 and 1954; Kassem, 1981).
2-Locations
The study area is located between 33o 30' to 34o 26' E, and 28o
23' to 28o 47' N (Figure 3). During these geographical boundaries, it
is described as predominantly smooth-faced granite outcrops
forming mountains such as Gebel Serbal, Gabel Catherine and
Gabel Mousa. These mountains may affect the distribution of M.
peregrina in South Sinai (Zahran and Willis, 2009).
The present study is carried out in four main localities of
South Sinai; (1) Wadi Agala, (2) Wadi Feiran, (3) Wadi Zaghra and
(4) Wadi Me'ir (Table 3). During the course of this study (20032008), M. peregrina tree was recorded in forty-one sites (Figure 4).
Each site was separated than another one by a distance (about 5-10
m) or according to change of landform type (George, slope, etc).
The maximum elevation above sea level at which M. peregrina tree
is recorded was 800 m. a.s.l in W. Feiran.
Table (3): Four wadis of the study area in which M. peregrina trees
were recorded.
Sites
Wadis of
Max. Elevation
Study Area
m. a.s.l.
No.
From
To
trees
1
W. Agala
764
4
1
4
40
2
W. Feiran
800
5
5
9
47
3
W. Zaghra
642
6
9
15
82
4
W. Me'ir
728
26
16
41
235
No.
33
No. of
Suez
Nakhel
Taba
Nuweiba
W. Feiran
W.
Agala
W. Zaghra
St. Catherine
Dahab
W. Me'ir
El-Tor
Sharm El-
Figure (3): The location map of the four wadis of study area of South
Sinai.
34
Mediterranean Sea
30ºN
Sinai
Western Desert
33º30' E
Red
Sea
25ºN
34º30' E
N
EGYPT
5
36ºE
31ºE
26ºE
6
W. Feiran
7
28º40' N
1
8 9 2 W.
3 Agala
4
W. Zaghra
12
11
15 14 13
10
2070 m
G. Serbal
Figure (4): The sites map
W. Me'ir
22
19
18
20 21
17
39
41 40 16
of Moringa peregrina
populations at the four
32
29 30 31 3334
35 36 2641 m
G.
38
23 252627 28
24
2285 m
G. Mousa
Dahab
Katherine
studied wadis in South
Sinai.
El-Tor
28º15' N
10
20
30
40 Km
28º15'
33º30' E
34º30' E
35
I. Wadi Agala
Wadi Agala runs parallel to W. Aliyat and drains into W.
Feiran. Wadi bed here is narrow (about 40 m width, and 4 Km
long), however the water channel is only 10 m width. Its surface
consists of rocky substrate near the edges and gravel in the main
water channel (Abdel-Hamid, 2009). M. peregrina in this wadi
grows on foot-hills and at the both sides of water stream, and it is
highly affected with over-collection and over-grazing (Figure 5).
II. Wadi Feiran
Wadi Feiran represents one of the longest broadest wadis in
South Sinai. It is bounded by igneous and metamorphic mountains
with different varieties of dykes. M. peregrina grow in-between the
rock crevices at high elevations. It has three main tributaries (W. ElSheikh, W. Solaf and W. EL-Akhdar) at cultivated Feiran Oasis
tending west till it pours into the Gulf of Suez (Kassem, 1981).
The surface of Feiran basin (1675 km2) is occupied by high
mountains and a widely distributed drainage system. The high
mountains and hills form great catchment areas receiving high
quantities of precipitation in the form of rainfall, and on the highest
peaks, some storms of snow (Kassem, 1981). The igneous and
metamorphic mountains are formed in the Precambrian era. Both
types are invaded by a wide range of varieties of dykes with various
trends and ages. The sedimentary rocks belong to the PaleozoicCenozoic eras (Said, 1962). These sediments include Nubian
sandstones, lacustrine deposits, some limestone and Gypsum
(Figure 6).
36
Figure (5): M. peregrina tree and nature of soil surface in Wadi Agala,
South Sinai.
Figure (6): Population of M. peregrina tree and nature of soil surface in
W. Feiran, South Sinai.
37
W. Feiran rises from the high mountains surrounding the
monastery of Saint Catherine at 2500 m above sea. It descends
steeply to the north, then turns to the west until it terminates in the
Suez gulf about 165 km south of El-Shatt (Zahran and Willis,
2009).
The downstream part of W. Feiran extends for about 20 km,
covered by sediments of rock, boulders and fragments in a sandyclay matrix, Hammada elegans dominates in this habitat, growing
in distantly spaced patches forming huge hummocks. In addition
trees of Acacia raddiana are widely spaced on gullies and rocky
slopes. Common associates include Anthemis psaudocotula,
Artimisea judaica, Cleome arabica, Diplotaxis acris, Fagonia
arabica, Farsetia aegyptia, lygos raetam, Mentha longifolia spp.
typhoides, Pituranthos tortuosus, Zilla spinosa, and Zygophyllum
simplex, Moricandia sinica is rare in this xeric habitat. About 22 km
east of the wadi mouth, fine sandy-clay soil constituents increase.
Here, Aerva javanica v. bovei, appears in addition to the abovemention common associates.
Feiran oasis is about 43 km east of the mouth of W. feiran and
appeared as a deep, fertile extension of the wadi surrounded by high
red mountains crowded with trees (Acacia radiana, phoenix
dactylifera, Tamarix aphylla). The oasis extends over a distance of
10 km. Abundant ground water and deep sandy-clay deposits (wadi
terraces), as well as the natural protection of the locality against
wind, favour the utilization of the oasis as a productive area, e.g. to
cultivate fruit trees (Zahran and Willis, 2009).
38
In W. Feiran, along the main wadi from Oasis to the Gulf,
there are tributaries including Wadi Nesrin, Wadi Tarr and Wadi
Mekatab. The nature of the main wadi and their tributaries are
rocky, broad with a range of width between 200 and 400m (Abd ElWahab, 1995).
The annual rainfall in Wadi Feiran is around 50mm till the
end of 1970. From 1980 till now, it has been subjected to hard
aridity and the annual rainfall decreased. The cumulative rainfall in
the top of mountain that comes from the drainage of Feiran
tributaries causes the most famous floods in Sinai, (Abd El-Wahab,
1995). The floods of Wadi Feiran usually come and carry down
stones, cobbles and gravel causing strong damages and carry and
may change a dry valley into a mighty river for some time. Wadi
Feiran is the hottest wadis in Southern Sinai especially in the period
between June and August (Table 4). Ramadan (1988) recorded that
the minimum temperature in Feiran Oasis keeps above zero in
winter (7 oC and the maximum is 42 oC in June).
Table (4): Minimum and Maximum temperature of Feiran Oasis
(Altitude 660m) (Ramadan, 1988, Abd El-Wahab, 1995).
Month
Sep – Oct 1983
Oct – Nov
Nov – Dec
Dec – Feb 1984
Feb – June
June – July
Max. Temp.
Min Temp. (oC)
39
36
28
28
42
38
20
13
9
7
23.5
25
39
III. Wadi Zaghra
This wadi is located as north-east of Saint Catherine at 28°39'
45"N and 34°19'44"E, as revealed in location map. It is about (100
m) width and (65 km) long. Its surface consists of stones and rocky
substrates. The mountains of this wadi are dark color. M. peregrina
trees grow on the foothills of mountains. Wadi Zaghra is rich in
Capparis spp. and Citrullus colocynthesis in association with Moringa
trees.
Total plant cover ranges between 1-5% in the main wadi-bed
while at foothills it reaches 5-10% where Acacia sp. and M.
peregrina are found. Recorded species in Wadi Zaghra include 9
threaten species, only one of them is endemic; Origanum syriacum.
These threatened species include Solenostemma arghel, Capparis
spinosa, Cleome droserifolia, Moringa peregrina (Figure 7),
Pulicaria arabica, Zygophyllum coccineum, Artemisia judaica,
Senna italica, Cucumis prophetarum, Citrullus colocynthis, and
Hyoscyamus muticus (Moustafa, 1999).
In Wadi Zaghra, although there is low density of Bedouin
families, the plants are subjected to a number of threats, for instance
over-collection for medicinal uses. The medicinal and economic
plants such as Solenostemma arghel and Cleome droserifolia are
suffer from over-collection for trade and exported abroad. Signs of
over-collection of Moringa and Acacia for fuel wood and
construction were noticed during the visits of households. The other
species are also subjected to high over-collection such as Haloxylon
40
salicornicum, Artemisia judaica, and Ochradenus baccatus.
Overgrazing were recognized in many species specially Crotalaria
aegyptiaca,
Ochradenus
baccatus,
and
Panicum
turgidum
(Moustafa, 1999).
IV. Wadi Me'ir
Wadi bed of W. Me'ir is about (140 m width, and 30 Km
long), it is located as north-east of El-Tor. Wadi Me'ir is rich in
Moringa trees; grow on foot-hills and at the edges of water stream in
wadi bed (Figure 8). It has a large wadi bed surrounded with series
of mountains. Its surface also consists of stones and rocky
substrates.
Generally, in W. Me'ir, the total plant cover ranges between 15% all over the wadi and 20-30% at some tributaries at the middle
of the wadi. This area is characterised by 50 plant species including
one endemic and 26 medicinal species. Eleven threatened species
range between endangered and rare species. The associated plants
species recorded with M. peregrina in W. Me’ir include
Hyoscyamus muticus, Cleome droserifolia, Capparis sinaica,
Capparis spinosa, Acacia tortilis, Acacia negavensis, Ochradenus
baccatus, Fagonia mollis, Retama raetam, Artemisia judaica,
Pulicaria arabica, Citrullus colocynthis and Cucumis prophetarum
(Moustafa, 1999).
41
Figure (7): Population of M. peregrina trees at W. Zaghra, South
Sinai.
Figure (8): Population of M. peregrina trees at W. Me'ir, South
Sinai.
42
3. Climate
Generally, Sinai lies in the arid to extremely arid belt of North
Africa and belongs to the Saharan-Mediterranean climate area.
Moreover, Sinai (excluding the mountains) is marked as extremely
arid (P/EP< 0.03), where P is the annual precipitation and EP is the
potential evapotranspiration calculated according to Penman's
formula (Ayyad and Ghabbour, 1986). The mountains in Saint
Catherine area receive higher amounts of precipitation calculated
50mm or more a year as rain and snow.
The climate of study area is extremely arid, with a long hot
and rainless summer and mild winter (Migahid et al., 1959;
Batanouny, 1981; Zohary, 1973; Issar and Gilad, 1982; Danin, 1983
and 1986). The climate of South Sinai is influenced by the
orographic impact of the high mountains and the tropical influence
along the Gulf of Suez and the Gulf of Aqaba (Danin, 1986).
Orographic precipitation predominates in South Sinai and it felts on
the summits, cliffs and gorges of the mountains and is then
transposed to the upstream tributaries of the wadi system (Kassas
and Girgis, 1970).
Available meteorological data (rainfall, temperature, relative
humidity, and evaporation) of South Sinai collected from the
Egyptian Meteorological Authority, Water Research Center, and
Saint Catherina Research Center is summarized in tables 5 and 6.
According to UNEP (1992), arid and semi-arid environments
occupy around 37 % of the land on the earth. Sixty-four percent of
43
the global drylands and 97 % of hyper-arid deserts are concentrated
in Africa and Asia.
3.1. Rainfall
Most of the precipitation in South Sinai occurs during winter
and spring. Considerable precipitation occurs as a result of
convective rains that are very local in extent and irregular in
occurrence. The number of convective rains per season is
unpredictable. Only rare and heavy showers cause floods, which
contribute effective moisture for the vegetation in the wadis. The
maximum amount of rainfall during one day was 76.2 mm in
November 1937 (Dames and Moore, 1982; Abd El-Wahab, 2003).
Precipitation may occur as snow on the high peaks of South
Sinai Mountains. Winter snow lasting two to four weeks has been
observed on the northern slopes of Gebel Catherine. In some years
more than one snowfall may occur, while in others snow may be
absent. Precipitation, which falls as rain in the valleys of South
Sinai, may occur as hail on the high peaks. Water derived from
melting snow or hail is likely to infiltrate the desert soil.
44
Table (5): Available meteorological data of St. Catherine and El-Tor stations in Southern Sinai, Egypt, compiled from
different sources (Abd El-Wahab, 2003).
Month
Rainfall (mm)
Relative Humidity (%)
Mean Max. Temp. (oC)
Mean Min. Temp. (oC)
Jan
Feb
Mar
1.5
28.0
-11.7
-15.0
1.4
30.0
12.3
14.7
10.0
20.0
20.6
-5.3
Sep
Oct
Nov
Dec
Mean
0.0
22.0
25.8
6.6
0.0
17.0
25.8
5.3
4.6
30.0
21.9
1.9
22.0
40.0
17.2
-0.2
7.0
36.0
12.4
-8.9
5.5
25.3
18.5
0.5
0.1
30.1
28.7
16.2
13.7
0.0
28.1
27.7
13.6
11.7
0.7
31.9
26.1
11.5
10.4
0.9
34.2
20
6.8
7.2
2.7
42.7
16.3
4.3
6.1
1.6
34.1
23.4
9.6
11.1
0.0
61.0
34.8
23.8
11.8
0.0
63.0
32.6
22.8
10.4
0.7
58.0
29.6
18.5
8.0
1.7
58.0
26.6
14.7
7.4
3.6
56.0
22.5
10.8
7.0
0.9
60.1
28.3
17.2
9.5
0.0
64.3
33.4
24.7
11.9
0.0
67.9
31.2
23.3
10.1
0.8
61.6
28.1
19.1
8.6
0.7
57.1
25.0
14.4
8.7
3.8
55.2
21.9
11.5
7.4
0.5
59.1
27.9
17.7
10.3
Apr
May Jun
Jul Aug
Saint Catherine (1934 - 1937)
7.9
17.0
23.1
-4.6
6.0
23.0
24.6
-0.3
Trace
18.0
24.8
3.9
0.0
23.0
24.7
7.9
Saint Catherine (1979 - 1992)
Rainfall (mm)
Relative Humidity (%)
Mean Max. Temp. (oC)
Mean Min. Temp. (oC)
Evap. (mm/day)
5.9
49.8
14.3
1.4
5.7
1.9
43.3
15.1
1.4
7.2
6.0
39.4
17.7
4.6
9.3
0.5
28.6
24.4
9.0
12.6
Rainfall (mm)
Relative Humidity (%)
Mean Max. Temp. (oC)
Mean Min. Temp. (oC)
Evap. (mm/day)
1.5
57.0
21.1
9.0
7.0
1.3
55.0
21.7
9.7
7.8
1.2
53.0
24.2
12.6
9.2
0.2
56.0
27.9
16.5
10.2
Rainfall (mm)
Relative Humidity (%)
Mean Max. Temp. (oC)
Mean Min. Temp. (oC)
Evap. (mm/day)
0.0
56.1
21.6
10.2
7.7
0.5
54.4
23.9
11.0
9.7
0.4
53.4
24.5
13.9
10.7
0.0
58.9
27.7
17.1
12.0
0.4
24.9
28.3
12.5
15.2
0.0
27.2
30.8
16.3
17.7
0.0
28.8
31.8
17.5
16.2
El-Tor (1919 - 1967)
0.2
85.0
30.7
20.5
11.1
0.0
59.0
33.5
23.3
12.5
0.0
60.0
34.6
24.5
11.9
El-Tor (1984 - 1988)
0.0
59.1
31.4
20.2
12.5
0.0
60.7
32.4
23.1
13.4
45
0.0
60.8
33.2
23.8
11.4
Table (6): Mean rainfall (mm), relative humidity (%), temperature (ºC), and wind speed (m/s) recorded in Saint Catherine
from 2004 to 2007 (Ali, 2009).
Jan
Feb
Mar
Apr
May Jun
(2004)
Jul
Aug
Sep
Oct
Nov
Dec
Mean
Rainfall (mm)
Relative Humidity (%)
Mean Temp. (oC)
Wind speed (m/s)
2.4
45.0
9.0
7.3
9.0
44.0
10.0
14.0
10.6
39.0
13.8
11.2
4.0
53.0
19.7
10.4
1.0
57.0
19.9
9.3
0.0
60.0
24.7
8.1
0.0
44.0
24.0
7.2
0.0
38.0
23.6
7.6
0.0
40.0
20.3
6.8
0.0
52.0
13.2
8.1
0.0
51.0
8.7
6.3
2.3
49.2
17.6
8.8
Rainfall (mm)
Relative Humidity (%)
Mean Temp. (oC)
Wind speed (m/s)
1.0
50.0
10.0
9.7
9.0
62.0
10.7
11.1
10.6
60.0
14.7
12.4
4.0
42.0
18.9
9.9
1.0
32.0
19.4
9.5
0.0
48.0
24.6
7.8
0.0
58.0
26.1
7.8
0.0
48.0
22.7
8.1
0.0
38.0
16.9
0.0
0.0
34.0
12.5
5.5
0.0
38.0
17.2
7.7
2.1
45.5
18.1
8.2
Rainfall (mm)
Relative Humidity (%)
Mean Temp. (oC)
Wind speed (m/s)
0.0
51.0
7.5
7.8
6.0
56.0
9.2
9.1
1.2
48.0
12.4
9.6
1.0
54.0
16.2
10.8
0.4
39.0
20.4
8.1
0.0
51.0
22.9
8.6
0.0
54.0
25.4
6.5
0.0
44.0
22.7
6.5
0.0
45.0
18.8
9.6
0.0
50.0
11.2
5.5
0.0
40.0
7.4
8.3
0.7
48.5
16.5
8.2
Rainfall (mm)
Relative Humidity (%)
Mean Temp. (oC)
Wind speed (m/s)
2.6
47.0
6.8
7.5
8.0
53.0
9.3
13.7
1.0
50.0
11.7
9.2
5.8
48.0
16.4
11.4
0.0
44.0
22.8
9.0
0.0
54.0
24.3
8.7
0.0
51.0
24.5
7.2
0.0
43.0
21.6
6.4
0.0
39.0
20.1
6.6
0.0
43.0
13.9
5.5
0.0
44.0
10.4
5.5
1.5
47.3
17.1
8.2
Month
0.0
67.0
24.0
9.6
(2005)
0.0
36.0
23.0
9.0
(2006)
0.0
50.0
24.4
7.5
(2007)
0.0
51.0
23.8
7.6
46
The mean annual rainfall during the period (1934 - 1937) was
5.5 mm at Saint Catherine. It was 0.9 mm at El-Tor (Table 5).
Moreover, during the period (1979 - 1992) in Saint Catherine and
(1984 - 1988) in El-Tor, the mean annual rainfall decreased into 1.6
mm and 0.5 mm respectively (Table 6). On the other hand, the
mean annual rainfall during the period (1971- 2000) was 38.9 mm
at Saint Catherine, 6.42 mm at El-Tor (Figure 9). During the periods
(1970 - 1980), it was 9.95 mm at Dahab (Table 7).
Although rainfall is low in the study area, the topographic
irregularities play a great role in the collection and redistribution of
the runoff water. Low areas as regards the local topography receive
much more resources than the measured rainfall (Ramadan, 1988).
The rainfall curve in the climatic diagrams underlies the
temperature curve throughout the year. In Saint Catherine, the
humid period is decreased in period (2004 - 2005) than the previous
period (1979 - 1992) (Figure 10a and b). In El-Tor, the humid
period almost disappeared in the climatic diagram (1984 - 1988)
(Figure, 10c).
Rainfall of South Sinai is characterized by extreme variability
in both time and space. The rainfall data have revealed the
occurrence in the historical past and recently of climatic cycles
manifested by periods of rainy years alternating with droughty ones,
with a general trend toward more aridity (Figure 9).
The spatial variability is prominent in that one locality may
have amount of rainfall that resulted in floods, and at the same time
47
there is no rainfall in another locality distance few kilometers.
Rainfall data recorded from two different stations at Saint Catherine
demonstrates this variability. The first station (1550 m a.s.l.)
recorded 72.6 and 119 mm for year 1993 and 1994 respectively,
while the other station (1350 m a.s.l) recorded 47.2, and 48.1 mm
for those years respectively (Abd El-Wahab, 2003). In Saint
Catherine area the temperature ranges is 11 to 13°C and the rainfall
ranges is 70 to 100 mm (Danin, 1978a).
3.2. Temperature
Due to the wide range of altitude, South Sinai is characterized
by a wide range of variation in air temperature. During the period
(1979 - 1992), the lowest monthly mean minimum temperature
ranges from 1.4 to 17.5°C at Saint Catherine and from 9.0 to 24.5°C
at El-Tor. On the other hand, the highest monthly mean maximum
temperature varies from 14.3 to 31.8°C at Saint Catherine, and from
9.0 to 24.5°C at El-Tor (Table 5). Moreover, the mean annual
temperature in Saint Catherine during the period (2004 - 2007)
ranges from 16.5 to 18.1°C (Table 6).
In fact, Saint Catherine is the coolest area in Sinai and Egypt
as a whole due to its high elevation (1500 - 2641 m a.s.l.). The
lowest mean minimum temperature is recorded in January and
February (1- 4°C), while the highest mean maximum temperature in
June and July (30.8 - 31.8°C, respectively) (Abd El-Wahab, 2003).
48
130
120
110
100
Rainfall (mm)
90
80
70
60
50
40
30
20
0
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
Mean
10
St. Catherine
El-Tor
Figure (9): Annual rainfall of Saint Catherine and El-Tor (1971 - 2000)
and the mean value.
Table (7): Annual rainfall at some stations in South Sinai, compiled
from different sources (Abd El-Wahab, 1995 and 2003).
Station
Period
No. of years
Annual rainfall (mm)
St. Catherine
St. Catherine
St. Catherine
El-Tor
El-Tor
El-Tor
Dahab
1934-1937
1971-1997
1934-1997
1920-1966
1971-1993
1920-1993
1970-1980
4
27
31
42
18
60
11
60.4
42.6
44.9
11.4
9.7
10.9
10.0
49
Saint Catherine (1979 - 1992)
35
70
º
30
60
25
50
20
40
15
30
10
20
5
10
0
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Monthly Rainfall (mm)
Mean Temperature ( C)
(a)
0
Dec
Month
Saint Catherine (2004 - 2007)
35
70
º
30
60
25
50
20
40
15
30
10
20
5
10
0
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Monthly Rainfall (mm)
Mean Temperature ( C)
(b)
0
Dec
Month
El-Tor (1984 - 1988)
35
70
30
60
25
50
20
40
15
30
10
20
5
10
º
0
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Monthly Rainfall (mm)
Mean Temperature ( C)
(c)
0
Dec
Month
Monthly Mean Temperature (ºC)
(oC)
Monthly Rainfall (mm)
Figure (10): Climatic diagrams of Saint Catherine and El-Tor stations in
Southern Sinai, (a) St. Catherine (1979 - 1992), (b) St.
Catherine (2004 - 2007), and (c) El-Tor (1984 - 1988).
50
On the other hand, the low elevation wadis are warmer. The lowest
mean minimum temperature recorded at El-Tor was 9.0°C in the
period 1919-1967 (in January). On contrast, the highest mean
maximum temperature in El-Tor in the period 1919-1967 (in
August) was 34.8°C. Moreover, the coastal strip along the Gulf of
Aqaba is much warmer than that along of Gulf of Suez (Abd ElWahab, 2003).
3.3. Relative humidity and evaporation
The relative humidity in Saint Catherine area ranges between
24.9 % in May and 49.8 % in January, while in El-Tor is 53 % in
March and 85 % in May. The evaporation is greater during summer
than winter, with maximum of 17.7 mm in Saint Catherine and 13.5
mm in El-Tor in June, and minimum of 5.7 mm in January in Saint
Catherine and 7.4 mm in December and 7.7 mm in January in ElTor (Table 5).
3.4. Wind speed
The wind is another factor affect the existence of plants as it
plays an important role in seed dispersal or as it destroys or uproots
the plant individuals. The mean values of wind speed in Saint
Catherine ranges from 8.2 to 8.8 m/s. The winds reach the
maximum speed in February, it was 14 m/s in the year of 2004 and
13.7 m/s in 2007 (Table 6).
51
4. Hydrological aspects
In Sinai, there are three indigenous water sources; rainfall,
surface and ground water (Anonymous, 1985; Zahran and Willis,
2009). Therefore, the water resources in South Sinai are the
function of rainfall, springs, and ground water supplies. In Sinai, the
amount
of
groundwater
decreases
southward
(25mm/year)
(Hammad, 1980). The ground water bearing formations in South
Sinai include: a) the basement complex, b) the Nubian sandstone
exposed on the surface overlying the basement rock, c) the
limestone of Mesozoic and Tertiary, d) the Miocene formation, and
e) the alluvial deposits (Quaternary) that occupy the alluvial plains,
which are parallel to the Gulf of Suez and the Gulf of Aqaba
(Hammad, 1980).
The southern part of Sinai is occupied by basement complex
which is composed of highly fissured igneous and metamorphic
rocks. As these rocks are highly elevated, their water forms a
considerable pressure feeding the northern water-bearing formations
(Hammad, 1980; El-Rayes, 1992).
The hydrologic system of the basement rocks of South Sinai
has three hydrologic systems: a) the main aquifer units have high
joint density and good hydraulic prosperities; b) the leaky aquitard
unit has low joint density and is underlying the main aquifer unit. It
acts as a basal semi-barrier restricting the fast vertical of the stored
water in the upper main aquifer unit, and c) the local aquifers
represent by the fault zones, alluvial deposits and by the jointed
areas adjacent to basic dykes (El-Rayes, 1992). The ground water in
52
the basement rocks of South Sinai is mainly controlled by the
amount of rainfall and evaporation rate, the prevailing topographic
parameters and the geologic structures (El-Rayes, 1998).
Most water sources in the study area appear on the fissured
rocks due to the free passage of ground water through the
interconnected open fissures in the granitic rocks giving rise to
many small springs (El-Rayes, 1992; Ghodeif, 1995). The water
courses issuing from the mountains excavate deep ravines with
steep gradients. Their floor consists of bare rock, and their path is
frequently obstructed by falls or cataracts. The beds seem to have
originated in lakes, which were formed as a result of the damming
of these watercourses by resistant porphyry dykes. The dikes acted
as barriers to the ground water flow and helped from the ground
water body of the famous oasis of Feiran. Generally, the mountains
dissected by faults and joints play an important role in the
movement of ground water (Kassem, 1981).
5. Vegetation
Floristically,
Sinai
may
be
distinguished
into
five
phytogeographical territories mainly determined by climate,
geomorphological formation and nature of soil surface (Danin,
1978a; and Moustafa & Klopatek, 1995). Three of these
phytogeographical territories are Saharo-Arabian complex ones,
where Saharo-Arabian species dominate the list of species in all of
them (Danin and Plitman, 1987). The first one is that of the
Mediterranean in the northern strip of Sinai Peninsula where the
Mediterranean species represent the 2nd highest frequency.
53
The second includes the Irano-Turanian chorotype and found
in limestone and chalk anticlines of north Sinai and Gebel El-Igma.
On the other hand, the third is the Irano-Turanian region and
mainly represented at the cool and relatively wet high altitudinal
upper Sinai massif including Saint Catherine area.
The fourth is the Sudanian chorotype and confined along the
warm Gulf of Aqaba and Snafir islands (Danin, 1986; Shabana,
1988). Prominent Sudanian species such as Acacia tortilis subsp.
raddiana occurs in the magmatic massif of southern Sinai even at
high elevations.
The fifth region (rest of Sinai) belongs to the Saharo-Sinidian
(Shabana, 1988). The Saharo-Sinidian flora has been derived from
the Mediterranean, the Sudanian, and to lesser extent from the
Irano-Turanian stock (Eig, 1931 and 1932; Zohary, 1962, and Davis
& Hedge, 1971).
Zahran and Willis (2009) stated that vegetation of Sinai, being
a bridge between Africa and Asia, reflects the influence of three
phytogeographical regions; Saharan type, Irano-Turanian, and
Mediterranean. The estimated number of species in different
habitats of Sinai ranges between 942 (Zohary, 1973), 1247
(Täckholm, 1974), 687 (Abdullah et al., 1984), 886 (Danin, 1972;
Danin et al., 1985), 984 (El-Hadidi et al., 1991), and 1262 (Boulos,
1995). Notably, the high mountains in the Southern subregion and
particularly the central subregion support a richer flora than the
northern subregion, particularly the rock types.
54
In general, South Sinai has exceptionally rich flora (Danin,
1986). The edaphic factors that are assumed to be related to the
floristic richness of these districts seem to be more important than
the climatic ones (Danin, 1978b; Abd El-Wahab, 2003).
The southern part of Sinai Peninsula is characterized by
triangular mass of mountains, 7500 m2 in surface area; these
mountains are highly rich in their flora. The flora of Southern Sinai
comprises nearly 900 species in 250-300 associations (Danin, 1983
and 1986). The vegetation of South Sinai is characterized by
dominance of four families; Compositae (Asteraceae), Labiatae
(Lamiaceae or Minit family), Leguminosae (Fabaceae), and
Cruciferae (Brassicaceae). The vegetation is also characterized by
sparseness of plant cover of semi-shrubs, restricted to wadis or
growing on slopes of rocky hills and in sand fields and paucity of
trees (Danin, 1986).
South Sinai Mountains represent a great harbor of endemism
(Moustafa, 1990) where the area has wetter climate than most of
Sinai and characterized by having large outcrops of smooth-faced
rocks which support rare species (Danin, 1972, 1978a, 1983 and
1986). Moreover, Hassib (1951) recognized that the total number of
species in the flora of Sinai was 532, as follows: 38
nanophanerophytes, one stem succulent, 95 chamaephytes, 142
hemicryptophytes, 27 geophytes, 10 hydrophytes and halophytes,
216 therophytes and 3 parasites (Zaghloul, 1997; Zahran and Willis,
2009)..
55
El-Hadidi (1969) stated that in Sinai, there are about 36
endemic species, most of which are confined to the mountain region
and belong to Irano-Turanian element. Only a few endemics belong
to the Sahro-Scindian element. On the other hand, more than 65 %
of the endemic species in Egypt (41) occur in Sinai; 25 species in
Sinai only and 16 species in Sinai and other region of Egypt. Most
of endemic species in Sinai (> 70 %) are recorded in the southern
mountains (Boulos, 2002; Zahran and Willis, 2009).
Boulos (1995, 1999, 2000, 2002, and 2005) stated that the
total number of endemic species in the tree subregions of Sinai was
41 species. Moreover, most of these endemics (about 65 %) were
present in the Southern montane country; the other two subregions
contain 35 % of the endemics of Sinai; 32 % in the central
subregion and 3 % in the northern subregion. Besides, more than 65
% of the endemic species in Egypt occur in Sinai. Most of endemic
species in Sinai (> 70 %) were recorded in the southern mountains
(Zahran and Willis, 2009).
South Sinai is characterized by arid climatic variation,
sparseness of vegetation, and paucity of trees. Meanwhile, this
sparse vegetation is subjected to depletion by overgrazing, overcutting and uprooting for fuel and medicinal uses. These severe
impacts lead to a great environmental deterioration including
disappearance of pastoral plant communities, dominance of ungrazed (unpalatable) communities, lack of vegetation cover and soil
erosion, (Abd El-Wahab 1995). Therefore, more studies should be
56
focus on the regeneration of destructed vegetation; soil protection
and how to overcome the risks affect the establishment of its
vegetation in future.
6. History of land-use and human activity
The oldest rocks in Egypt are Archaean, covering at present
about 10% (about 93 000 km2) of the area of Egypt. They constitute
the most rugged section of the country, including the highest peaks
in the Red Sea Mountains, and mountains of South Sinai (Zahran
and Willis, 2009).
The history of land-use in Sinai could be differentiated into
distinctive periods (Zohary, 1973 & Danin, 1983). From lower
Paleolithic period, at least 300,000 years ago, until the Neolithic
period, communities of hunters and gatherers lived in Sinai
(Zaghloul, 1997).
The Epipaleolithic and Neolithic periods (15th to 4th millennia
B.C.E.) witnessed a major change in human culture and land use in
the Middle East area. Agriculture was developed in the region as
documented by the remains of domesticated cereals and legumes.
Agriculture developed rather with the establishment of large
permanent forming communities and domestication of many fruit
trees during the Chalcolithic period (4000 - 3100 B.C.E.) and
through the Bronze period (3100 - 2200 B.C.E.).
In the Chalcolithic, the nomads exerted considerable pressure
on the vegetation through grazing and by cutting woody plants for
57
fuel, while in the Iron age and up to the end of the Byzantine
periods (1200 B.C.E.- 640 C.E.) sophisticated techniques for the
diversion and control of run-off water from winter rains was used to
cultivate the valleys.
By beginning of the 20th century, a simple permanent
agriculture among the Bedouins was developed with a destructive
impact on the natural vegetation. The Bedouins burned (and still
burning) lignified plants for heating and as cooking fuel, a practice
that led to the decline of woody plants in the vicinity of their
encampments. Also, the Bedouins had large herds of goats that
grazed the diffuse vegetation in the high mountains and in Feiran
Oasis.
Nowadays, the Bedouins in Southern Sinai largely practice
dry farming on loess soils. Shallow plowing disturbs only the
surface crust, thereby increasing the roughness of the soil surface,
and reducing run-off by building terraces. Wells waterfalls, and
pools are common throughout the area to provide water for
agriculture.
The war of 1973 and the peace agreement of 1979 were
landmark points that changed the way of life in Sinai. Before 1973,
the human settlements were few and their life was mainly of a rural
characters. The main activity of Bedouins was, and still is, to take
care of grazing animals (camel, sheep, goats and donkey), as shown
in photo (16, 17, 18, 19), on all wadis of study area. They also
58
gather plants for firewood (Ramadan, 1988; & Abd El-Wahab,
1995).
After the year 1973, many attempts of modern urbanization
were made. Also projects for land reclamation and settlement of
Bedouins have been started in different parts of Sinai to establish
more people in places of available fresh water resources. Opening
of schools, construction of roads, and availing public traffic,
resulted in a close contact between Sinai and the rest of Egypt and
made many sites and localities in Sinai more easily accessible. This
urbanization movement has mixed edges; the bad one is the
destruction of natural ecosystems.
Utilization of the relatively sparse vegetation of the desert in
Sinai is one of the more impressive aspects of Bedouins adaptation
to environmental conditions there. Bailey and Danin (1981)
encountered no plant that was not useful to the Bedouins in one way
or another. Some plants provide them with medicine for the illness
of man and beast. Others are utilized in a variety of manufactures.
Some of these are essential to their daily existence. Pasture for goats
and camels are the most extensive use of plants.
The prominence of desert plants in Bedouin life is reflected in
various less tangible aspects of Bedouin culture. It also led the
Bedouins to identify many places in the desert according to some
botanical landmarks, whether it is abundance of a certain plant
species or even their unique but prominent presence. The distinctive
59
qualities of some plants have become proverbial (Bailey and Danin,
1981).
In the study area, the Bedouins have many wells to irrigate
their fruit trees and vegetables. They have established many gardens
(especially the few years ago) of fig trees (Ficus carica), in W.
Feiran, peach (Prunus persica), pear (Pyrus conumunis), apple
(Pyrus malus), almond (Amygdalus conumunis), olive (Olea
europaea), orange (Citrus aurantium), mandarin (Citrus mobilis),
lemon (Citrus limon), plum (Prumus domestica), guava (Pesidium
guajava), pomegranate (Punica granatum), apricot (Prunus
armeniaca), and dates (Phoenix dactylifera), as well as grapevine
(Vitis vinifera), (Ramadan, 1988 & Moustafa, 1990).
Human resources in South Sinai are diversified with Bedouin
pastoralists especially in this stripe. Urban dwellers are related
mainly to part cities touristic villages and oil fields in coastal areas.
The supporting jobs come from transportation means and few
protected areas (Kassas et al., 2002).
60
V. Materials and Methods
I. Field Survey
During this study, M. peregrina trees were recorded in four
wadis; W. Agala, W. Feiran, W. Zaghra and W. Me'ir (Figure 4).
Forty-one sites were selected; four sites at W. Agala, five sites at
W. Feiran, six sites at W. Zaghra and twenty-six sites at W. Me'ir.
Totally four-hundred and four M. peregrina trees were surveyed at
these four wadis; forty at W. Agala, forty-seven at W. Feiran,
eighty-two at W. Zaghra and two-hundred and thirty-five at W.
Me'ir for measuring vegetative parameters and collecting seeds.
Moreover, associated plant species were recorded in each site.
The identification of associated plant species with M. peregrina
trees in the studied four wadis was carried out according to Boulos
(1995, 1999, 2000, and 2002).
In each site, the geographical position (GPS reading);
elevation in meters above sea level, slope degree, and exposure
degree were measured. Exposure is north-facing or south-facing; (1)
North (315º - 45º), (2) East (45º - 135º), (3) West (225º - 315º) and
(4) South (135º - 225º). A south-facing slope in north temperate
latitudes always experience greater total insolation than the northfacing slope of the same region, and so south-facing slopes have
warmer air and soil (Barbour, et al., 1987).
61
The slope degree was determined as shown in Table (8). On
the other hand, elevation categorized according to Zaghloul (1997)
as low altitude (<1500m-1700m a.s.l), medium altitude (<1700m1900m a.s.l), high altitude (<1900m-2100m a.s.l) and very high
altitude (<2100m a.s.l.). Landform type was determined according
to Moustafa & Klopatek (1995) as; gorge, slope, wadi and outcrop
of smooth-faced rock, or terraces. Nature of soil surface (N.S.S.)
was described as shown in Table 9, and using the following scale;
fine fraction (>2 mm equivalent diameter), gravel (2 - 75 mm),
cobbles (75 - 250 mm), stones (250 - 600), and boulders (<600mm)
(Hausenbiuller, 1985).
During monthly field visits, the grazing intensity was assessed
(subjectively) as degree of browsing and the number of observed
camels. It can be explained as follows: severe with presence of
camels at the time of assessment, providing the highest stocking
rate (scale is 4), severe without presence of camels at the time of
assessment and with high feces content (scale is 3), moderate (scale
is 2), low (scale is 1) and no browsing (0) (Abd El-Wahab, 2003).
Human interferences (e.g. cutting, damage, firing, etc.) were
recorded as presence/absence signs. The status of cutting in M.
peregrina trees was evaluated using the following scale: high
degree of cutting (3), middle (2), low impact (1), and no cutting (0).
62
Table (8): The slope degree and scale (Zaghloul, 1997).
Slope degree
Type
gentle
medium
steep
very steep
precipitous wall
Degree
(0o- 5o)
(<5 o- 20o)
(<20 o- 45o)
(<45o- 70o)
(<70o)
1
2
3
4
5
Scale
Table (9): The percentage of soil constituents in soil surface
(Zaghloul, 1997)
Nature of soil surface (N.S.S.)
%
Low
Medium
High
Very high
Fine
fraction
Gravel
Cobbles
Stones
Boulders
Bare rock
0-5%
0 - 15 %
0 - 15 %
0 - 15 %
0 - 50 %
>5 - 15 %
>15 - 30 %
>15 - 50 %
>15 - 60 %
>50 - 80 %
> 15 %
>30 - 70 %
0 - 10 %
>10 – 30
%
> 30 %
> 50 %
> 60 %
> 80 %
> 70 %
63
II. Estimation of Age structure
a. Cutting cross sections
For dendrochronological studies, ninety-three of cross-cuts in
M. peregrina trees representing the four wadis populations were
carried out during the field survey. Due to the importance of
individual trees in this arid region of South Sinai, samples were
taken from dead trunk or dead tree branches. In the laboratory,
cross-cuts were further cut into thin sections and surfaced with
sandpaper from both sides for better resolution. The final polishing
ensured that fine scratches could not be confused with marginal
parenchyma (Figure 11). The age of each sample was obtained
directly by counting the annual rings.
b. Age-radius relationship and age dating
The data were treated as a linear regression relationship
between the tree radius (excluding the bark thickness) and the
number of counted growth rings in the sampled ninety-three crosscut sections. The linear regression relationship between the tree
radius and bark thickness in ninety-three cross-cut sections was also
determined. The radius (r) was assessed as a mean of eight
measurements of sample diameter.
Anderson-Darling test was used to test significant departures
from normality in measured parameters; number of rings, radius,
and bark thickness. Simple Linear Regression Analysis was applied
to calculate the equation and figure out the relationship between the
radius of cross-cut sections and the number of annual rings using
Minitab 14 computer software (Zaghloul et al., 2008).
64
Figure (11): Photos of annual rings counting to estimate the age of
M. peregrina trees growing in South Sinai.
65
The regression was forced to pass through the origin as a logic
biological fact. The ages of the studied 404 trees were then
estimated based on their wood radii, using the resultant age-radius
relationship. There are some serious limitations associated with this
approach (Zaghloul et al., 2008). Because of the considerable
uncertainties involved in determining the age of individual trees, an
unavoidable error is built into the age-radius model. Therefore, the
skewness from the normality of the resultant age distribution was
assessed by Anderson-Darling normality test to figure out the
magnitude of this error. Variation in estimated trees ages between
the sampled four wadis was evaluated using one-way ANOVA.
c. Age structure and static life table
The estimated trees ages were used to determine the age
distribution and construct a static life table (Barbour et al., 1987).
The age distribution of the studied populations was used as a
predictive tool to determine if M. peregrina populations in South
Sinai are healthy or not. The age structure of populations consisting
of multiple cohorts was used to estimate the survival patterns of the
various age groups in a static life table (Sharitz and McCormick,
1973).
Once the age classes at the time of census are represented by
x, some parameters are required to construct the static life table of
M. peregrina populations (Table 10).
66
Table (10): Parameters of a static life table used in estimation of
survival and mortality rate of M. peregrina tree.
Symbol
Description
x
Age interval (class) entered by the time of census.
Nx
Number of individuals trees living in age class x.
ax
Number of survivors at beginning of age interval x. (number of
survivors to age x, it plots a survivorship curve).
lx
Proportion of original cohort surviving to age x
Lx
Average proportion alive at the age x.
Tx
Total number of living individuals at age class x and beyond.
ex
Probability of living ' x ' number of years beyond a given age x.
dx
Number of individuals that die during age class x.
qx
Proportion of individuals that die during age x and find out
which ages have the highest risk of death.
The various statistics can be derived from lx values,
(Silvertown, 19982; Bengon and Mortimer, 1986; Bengon et al.,
1996; Molles & Manuel, 2002) as:
Survivorship lx = ax/a0
Lx =
(1)
lx + lx+1
(2)
2
Tx = ∑ Lx – x-1
(e.g. T6 = L6 + L7 + L8 + ....+ Lmax) (3)
Number of individuals that die during intervals
dx = lx – lx+1
(4)
Tx
ex =
(5)
lx
Age-specific mortality rate qx = dx/ax
67
(6)
On the other hand, two important assumptions are necessary
for the static tables: 1) the population has a stable age structure –
that is, the proportion of individuals in each age class does not
change from generation to generation, and 2) the population size is,
or nearly, stationary. Age-specific mortality rate (qx = chance of
death) was calculated as the percentage of the population dying
during a particular age class (Zaghloul et al., 2008).
d. Survivorship Curve
A survivorship curve summarizes the patterns of survival in
population. Survivorship curve of M. peregrina trees was produced
by plotting the lx at each age interval against time. Based on studies
of survival by a wide variety of organisms, survivorship curve fall
into three major categories (Molles and Manuel, 2002):
1. Type I survivors ship curve: a relatively high rate of
survival among young, middle-aged individuals, followed by a high
rate of mortality among the aged. In this type, juvenile survival is
high and most mortality occurs among older individuals.
2. Type II survivorship curve: constant rates of survival
throughout life produce the straight-line pattern of survival.
Individuals in this type die at equal rates, regardless of ages.
3. Type III survivorship curve: is one in which a period of
extremely high rates of mortality among the young is followed by a
relatively high rate of survival.
68
III. Determination of population size
a. Field measurements
To study the tree size distribution and its relation with age
structure of M. peregrina, certain vegetative parameters were
measured for each tree. The tree height (in meter) was measured
using graduated long bar and meter. Crown cover area calculated
from the average of two dimensions of crown diameter. As well as
the trunk circumference (cm) at ground level (CAG) was measured
using meter. The tree diameter was calculated based on
circumference measurements as made by Franklin et al. (1988). In
addition, a sketch map was drawn for each site to help in
monitoring of M. peregrina trees in the studied wadis.
Variation in size values (height, crown cover, and trunk
circumference) between the sampled four wadis (W. Agala W.
Feiran, W. Zaghra, and W. Me'ir) was evaluated using one-way
ANOVA. Tukey’s pairwise comparisons were done to discriminate
between different wadis.
b. Height, annual increment and circumference/height ratio
The annual increment was estimated by dividing the radius of
the sample by its estimated age, (Zaghloul et al., 2008). The
circumference/height ratio was simply estimated by dividing the
circumference (cm) by the height (cm).
The correlation between the tree height, the area of crown
cover, and circumference/height ratio with the age of the tree was
evaluated used Pearson linear correlation. Simple Linear Regression
69
equation that describes the relationship between the age and size
(height, crown cover) was developed. This regression also was
forced to go through the origin as a logic biological fact.
IV. Soil characteristic
Twenty soil samples (15-25 cm depth and 2-3kg each) were
collected represent the forty-one sites in the studied four wadis for
some physical and chemical analyses (Figure 12.a & b). Three soil
samples were collected from W. Agala, three from W. Feiran, five
from W. Zaghra and nine soil samples from W. Me'ir. In laboratory,
soil samples were dried in air as recommended by Hausenbiuller
(1985), and then passed manually through 2 mm diameter sieve to
remove the gravel.
1. Physical characteristics
1.1. Soil texture (Particle size distribution)
Soil texture was evaluated by sieving method (Richards,
1954). In this method, the fine soil fractions were determined using
the following sieve meshes: gravel (<2mm), coarse sand (0.59),
medium sand (0.25), fine sand (0.063mm) and silt+clay
(>0.063mm).
1.2. Total moisture content
Soil samples were collected for gravimetric determination of
soil moisture. A Soil sample is weighed in an aluminum container,
placed in an oven and dried to constant weight at 105ºC, then the
sample is reweighed and the content of moisture is expressed as a
percentage of the oven-dry weight (Pansu and Gautheyrou, 2006).
70
(b)
(a)
(c)
(d)
(e)
Figure (12): Soil analysis, (a) sample collection under the crown
cover of M. peregrina tree. (b) On the depth 15-25 cm, (c)
EC meter, (d) Flame Photometer, and (e) Auto-analyzer
Spectrophotometer.
71
2. Chemical characteristics
2.1. Soil organic matter (SOM)
The organic matter content of soil samples were determined
by loss on ignition (LOI) at high temperature. This method gives
quantitative oxidation of organic matter (Nelson and Sommers,
1996). Ten grams of 2 mm-mesh sieved, air-dried soil, are placed in
a tared porcelain crucible and dried at 105ºC for 24 hours to
estimate the soil weight without water. The crucible with dry soil
ignited in an electric muffle furnace at 550ºC for about three hours.
The crucible is placed in a desiccator, cooled to room temperature
and re-weighed. The loss is calculated in percent of the oven-dried
sample (Margesin and Schinner, 2005).
2.2. Soil reaction (pH)
After sieving the soil with 2mm sieve, the pH values of water
extracts of soil samples were determined with a pH meter (Hanna,
Model 60648, Cole Parmer) using a soil-water extract of (1:2.5)
according to Pansu and Gautheyrou (2006).
3. Soluble salts
Salt solution of 2mm sieved soil was carried out to determine
EC, water soluble anions, and water soluble captions as follow:
3.1. Electrical conductivity (EC) and salinity
Electrical conductivity (EC) was measured by conductivity
meter (Model 4510, Jenway) (Figure 12.c) in extract (1:1) as
described by (Pansu and Gautheyrou, 2006). Salinity was calculated
in extract (1:5) according to Jackson (1967) as in the equation:
72
Salinity (ppm) = EC x 640 and the total soluble salts (TSS) was
calculated as: TSS (%) = EC x 0.32
3.2. Water soluble anions (CO32-, HCO3-, Cl- & SO42-)
Soil water-soluble carbonate and bicarbonate were determined
in extract (1:1) according to Baruah and Barthakur (1997) by
acidimetric titration method, using 0.01N sulphuric acid (H2SO4) in
the presence of phenolphthalein as indicator for CO32- (pH ≥ 8.5)
and methyl orange for HCO3- (pH < 6). Phenolphthalein gives a
pink colour as long as CO32- remains. It will be discharged as soon
as all CO32- is converted into HCO3- (Baruah and Barthakur, 1997).
Chloride (Cl‾) determination was based on the formation of
nearly insoluble silver salt. It was estimated in soil-water extract
(1:5) according to Baruah and Barthakur (1997). It titrated with 0.02
N silver nitrate (AgNO3) solution in presence of potassium
chromate indicator (K2CrO4) forming a reddish brown precipitate of
Ag2CrO4 which indicates the end-point of the reaction.
Soil sulphate (SO42-) was estimated in soil extract (1:5)
according to Jackson (1967), using the precipitation method. In this
method, concentrated HCl is added if the filtrate was alkaline then
boiled and barium chloride (BaCl2) was added to convert SO42- to
BaSO4. The precipitation washed to remove chloride ions and
ignited in a muffle at 600ºC for half hour, cool in a desiccator and
weight of residue is the weight of barium sulphate (Anonymous,
1980).
73
3.3. Water soluble cations (Na+, K+, Ca++ & Mg++)
Water soluble Na+ and K+ were measured in soil extract (1:5)
according to Sparks et al. (1996) using Flame Atomic Absorption
Spectrophotometer (Corning 410, Figure 12.d). Samples were
introduced into a hot flame, provides absorbance value based on the
amount of the element present. When it compared to generated
standard curve, the element measured can be quantified.
Ca++ and Mg++ were measured in soil water extract (1:5)
according to Baruah and Barthakur (1997). For determination of
Ca++, 5 ml of 10 % NaOH solution + 0.05 gm ammonium purpurate
(Murexide) as indicator were added to 10 ml of soil extract (V1).
Titration was run against 0.01 EDTA till colour changed from pink
to purple.
However, for determination of Mg++, pH was adjusted to 10
using buffering solution (NH4Cl + NH4OH) and then 0.05 gm of
erichrome black (EBT) was added to 10 ml of extract. Titration
against 0.01 EDTA was carried out till the colour changed from red
to bright blue. Calculations of Ca++ and Mg++ were done according
to Sparks et al. (1996) as:
meq. of Ca2+ = (V2 – V3) x 0.01 - - - - - - - - - - - - - - - - - - (I)
meq. of Ca2+ + Mg2+ = (V2 – V3) x 0.01 - - - - - - - - - - - - (II)
meq. of Mg2+ = meq. of (Ca2+ + Mg2+) ـــmeq. of Ca2+ - - (III)
Where V2 is the volume of EDTA used for the sample (titrevalue) and V3 is the volume of EDTA used for blank.
74
4. Total and available Phosphorus
Total phosphorus (TP) was extracted according to Jackson
(1967) using concentrated H2SO4 and H2O2 in digestion, and then
the samples concentration were estimated based on the wavelength
by Auto-analyzer Spectrophotometer (Model 5023, Finland).
Available phosphorus was estimated according to Olsen's
method (Olsen et al., 1954). The extraction was made using 0.5M
sodium bicarbonate (pH 8.5) (Tiessen and Moir, 1993). Exactly
2.5g of air-dry soil and 50 ml of sodium bicarbonate was shacked
for 30 min. The available P was measured in the soil extract filtrate
using Ammonium molybdate and stannous chloride as indicator.
The blue colour was measured using Spectrophotometer at
wavelength 690nm 5 to 6min and before 15min (Robertson et al.,
1999).
5. Total Nitrogen
The digestion of 0.5g of soil sample was carried out according
to Jackson (1967) using 10 ml concentrated H2SO4 and heated at
350ºC for half hour then cooled. H2O2 was added up to the end of
effervescence and the sample became colourless. The concentration
was estimated based on the wavelength recorded by Auto-analyzer
Spectrophotometer (Model 5023, Finland) at wavelength 590nm
according to Robertson et al. (1999).
75
V. Soil characteristic, age and size relationships
Finally, significance of variations in values of soil
characteristics between the four studied wadis was evaluated using
one-way ANOVA. It was necessary to investigate the influence of
soil characteristics as one of the most important environmental
factors on age and size distribution of M. peregrina trees.
The correlation between soil parameters with the tree age and
size (height, crown cover area, and circumference/height ratio) was
evaluated using Pearson linear correlation to find out the
relationship between these parameter and age and size.
VI. Data treatment
Several computer systems for data analysis have been
developed. Among the systems currently in widespread use are
SPSS 17 and Minitab 14 (2007). Statistical evaluation has been
done by using, descriptive statistics, Anderson-Darling normality
test, Pearson correlation analysis and simple linear regressions. On
the other hand, the significance of data of each factor was tested
using one-way analysis of variance (ANOVA). Thus data are
subjected to the simplest kind of ANOVA. This means that the
groups of samples (environmental parameters) are classified by only
a single criterion (Zar, 1984).
76
VI. Results
I. Environmental parameters
The environmental parameters (landform type, slope degree,
elevation, and exposure aspect) are shown in Table (11). Moringa
peregrina trees were recorded on slopes as the main landform at the
highest elevation (800 m. a.s.l) in W. Feiran, while the lowest
elevation (560 m. a.s.l) for M. peregrina was recorded in W. Zaghra
(Figure 13).
The highest slope degree (about 60º) in W. Feiran, while the
lowest slope degree (5º) in W. Me'ir (Figures 14). During recording
of associated species with M. peregrina tree, it was found that
narrow wadis and gorges support the richest assemblage of plants,
followed by the high-elevation slopes and terraces, respectively.
Outcrops of smooth-faced rocks function as refuge for more
mesophilic plants. Wadi bed is medium cover or high cover percent.
Finally the gorge is very high cover percent.
The majority of M. peregrina trees are located in South-facing
(Table 11) due to the increase of temperature. However, the most
noticeable field observation was that almost all reproductive trees
grow on south-facing slopes and crevices of metamorphic rocks. At
the same wadi, trees growing on north-facing slopes are without
flowers, (non-productive). This may indicates the importance of the
light and temperature as reflected by slope exposure as a limiting
factor for growth, flowering and fruiting of M. peregrina trees.
77
Table (11): Summary table of environmental setting data for the sites
in which M. peregrina was recorded
Location
Site
No. of
No.
trees
1
11
2
Slope
Landform
Elevation
Exposure aspect
Grazing/Browsing
Interferences
degree
type
(m)
Mean
Facing
Feces
Scale
Firing
Cutting
Slope
50
very steep
764
145
South-facing
(+)
4
(-)
1
7
George
40
steep
684
145
South-facing
(+)
3
(+)
1
3
6
Slope
45
steep
690
180
South-facing
(+)
4
(+)
2
4
16
Slope
48
very steep
625
205
South-facing
(+)
4
(+)
3
Total
4
40
W.
Feiran
5
4
Slope
60
very steep
725
175
South-facing
(+)
1
(-)
3
6
14
George
55
very steep
800
39
North-facing
(-)
1
(-)
2
7
7
Slope
40
steep
735
140
South-facing
(+)
1
(-)
3
8
15
Slope
45
steep
610
195
South-facing
(+)
1
(-)
2
9
7
Slope
48
very steep
715
220
South-facing
(-)
0
(-)
2
Total
5
47
W.
Zaghra
10
13
George
50
very steep
560
156
South-facing
(+)
1
(-)
1
11
15
Slope
35
steep
610
215
South-facing
(-)
0
(+)
2
12
24
Slope
40
steep
590
185
South-facing
(-)
0
(+)
1
13
2
Slope
40
steep
573
205
South-facing
(-)
1
(-)
1
14
12
Slope
45
steep
630
195
South-facing
(+)
1
(+)
1
15
16
Slope
45
steep
642
220
South-facing
(+)
1
(+)
3
Total
6
82
W. Me'ir
16
12
Slope
30
steep
710
140
South-facing
(+)
1
(-)
1
17
9
Slope
45
steep
718
155
South-facing
(+)
3
(-)
2
18
10
Wadi-bed
5
gentle
620
38
North-facing
(+)
2
(-)
1
19
5
Slope
5
gentle
620
42
North-facing
(+)
1
(-)
1
20
14
Slope
42
steep
725
44
North-facing
(+)
4
(-)
2
21
7
Slope
48
very steep
635
168
South-facing
(-)
0
(-)
1
22
3
Wadi-bed
8
medium
578
186
South-facing
(+)
3
(-)
3
23
6
slope
50
very steep
618
196
South-facing
(+)
2
(-)
1
24
16
George
50
very steep
736
158
South-facing
(+)
1
(-)
1
25
14
Slope
44
steep
570
215
South-facing
(+)
1
(-)
2
26
6
Wadi-bed
8
medium
565
155
South-facing
(+)
1
(-)
0
27
8
Slope
42
steep
642
194
South-facing
(+)
2
(-)
1
28
15
George
52
very steep
728
186
South-facing
(+)
1
(-)
0
29
2
Wadi-bed
5
gentle
638
320
North-facing
(+)
3
(-)
2
30
9
Slope
46
very steep
708
195
South-facing
(+)
2
(-)
1
31
5
Slope
35
steep
672
207
South-facing
(+)
2
(-)
1
32
6
Wadi-bed
10
medium
585
189
South-facing
(+)
4
(-)
3
33
12
Slope
25
steep
647
218
South-facing
(+)
1
(-)
3
34
8
Slope
28
steep
705
178
South-facing
(-)
0
(-)
3
35
10
Slope
35
steep
680
192
South-facing
(+)
3
(-)
2
36
9
Wadi-bed
5
gentle
593
184
South-facing
(+)
4
(-)
1
37
17
Slope
40
steep
654
210
South-facing
(+)
3
(-)
1
38
12
Slope
35
steep
620
185
South-facing
(+)
4
(-)
2
39
7
Slope
22
steep
575
148
South-facing
(+)
1
(-)
0
40
10
Slope
30
steep
615
173
South-facing
(+)
1
(-)
0
41
3
Slope
20
medium
635
186
South-facing
(-)
0
(-)
1
Total
26
235
T. wadis
41
404
W. Agala
78
Elevation ranges
850
Elevation (m a.s.l.)
800
750
700
650
600
550
500
W. Agala
W. Feiran
W. Zaghra
Min
Max
W. Mei'r
Mean
Figure (13): The elevations of M. peregrina in the four studied
wadis represented in meter above sea level.
Slope ranges
60
Slope degree
50
40
30
20
10
0
W. Agala
W. Feiran
W. Zaghra
Min
Max
W. Mei'r
Mean
Figure (14): The slope degree of the sites at the four studied wadis
represented in degree.
79
The highest grazing intensity was recorded in W. Agala, then
in W. Me'ir. Human interferences (e.g. cutting, damage, firing, etc)
confirm that W. Feiran (the most crowded with Bedouins) is
subjected to over-cutting and firing and followed by W. Agala.
II. Age structure of Moringa populations
a. Bark thickness, radius and number of rings of cross sections
The mean for the measurements of radius and bark thickness
of ninety-three of M. peregrina cross-cuts were 4.1 cm (± 0.81) and
0.5 cm (± 0.2), respectively (Table 12 & Figure 15a). The mean
values of radius after excluding the bark and counting of annual
rings of these cross-cuts were 3.6 (± 0.7) and 20.8 (± 5.0)
respectively (Figure 15b). The normality test (Anderson-Darling
test) proved that the measured parameters in the cross-cuts (radius,
bark thickness and number of annual rings) are significantly
departed from normality (P = 0.030, <0.005, and <0.005;
consequently (Figure 16).
The data of ninety-three sections of M. peregrina were used to
attain the regression equation. The relationship between the bark
thickness and radius was estimated from the significant (P = 0.000,
r2 = 0.187, Figure 17a) linear regression equation as:
[Bark thickness (cm) = 0.121 Radius] ---------------- I
The results of the linear regression significantly (P = 0.000, r2 =
0.271, Figure 17b) showed that relationship between the tree radius
(excluding the bark) and the number of counted growth rings in the
cross sections is governed by the equation:
[No. of rings = 5.68 Radius] --------------------------- II
80
Table (12): Descriptive statistics and of average radii, bark thickness and number of rings for M. peregrina cross
sections.
Location
W. Agala
Total
W.
Feiran
Total
W.
Zaghra
Total
W. Me'ir
Total
Pooled
samples
Site
No.
Number of
sampled
Number
cross-
Min
Radius (cm)
Max
Mean
StD
Min
1
2
3
4
4
2
2
2
5
11
2
2
2
6
12
3.66
3.63
2.75
3.71
2.75
5.58
4.03
3.98
4.68
5.58
4.62
3.83
3.36
4.17
4.05
1.36
0.28
0.87
0.32
0.67
0.45
0.59
0.43
0.46
0.43
0.47
0.63
0.56
0.80
0.80
0.46
0.61
0.49
0.61
0.57
0.01
0.02
0.10
0.15
0.12
28
21
11
14
11
32
25
20
25
32
30
23
16
18
21
2.83
2.83
6.36
3.93
6.07
5
6
7
8
4
3
4
3
1
11
6
4
4
1
15
3.27
3.51
3.43
3.79
3.27
5.15
5.04
5.53
3.79
5.53
4.30
4.38
4.25
3.79
4.27
0.80
0.78
0.90
0.32
0.39
0.42
0.56
0.32
0.74
0.96
1.01
0.56
1.01
0.47
0.76
0.73
0.56
0.62
0.16
0.27
0.25
16
14
15
30
14
30
22
21
30
30
22
18
18
30
20
5.89
3.86
2.65
10
11
12
14
15
5
3
3
12
4
1
23
4
7
21
6
1
39
2.76
3.74
2.68
2.11
4.53
2.11
4.25
4.29
5.60
5.59
4.53
5.60
3.31
3.97
4.13
4.15
4.53
4.03
0.66
0.19
0.78
1.14
0.20
0.24
0.26
0.23
0.51
0.20
0.41
0.52
0.64
0.98
0.51
0.98
0.28
0.36
0.38
0.42
0.51
0.38
0.09
0.09
0.10
0.28
15
18
14
16
28
14
24
26
31
20
28
31
19
22
23
19
28
22
4.43
2.87
5.09
1.60
16
17
18
19
21
24
26
31
33
37
10
23
3
2
3
1
2
1
1
1
6
3
23
68
3
2
3
1
2
2
1
2
8
3
27
93
3.29
3.84
2.96
2.98
3.20
5.26
5.05
4.14
3.45
2.76
2.76
2.11
5.39
4.16
5.90
2.98
3.83
5.32
5.05
4.32
5.88
5.21
5.90
5.90
4.16
4.00
4.80
2.98
3.52
5.29
5.05
4.23
4.00
3.81
4.16
4.11
1.10
0.23
1.61
0.60
0.34
0.44
0.36
0.34
0.41
0.64
0.73
0.26
0.46
0.26
0.20
0.83
0.54
0.74
0.36
0.64
0.42
0.64
1.03
0.84
1.04
1.04
1.04
0.70
0.44
0.59
0.36
0.49
0.41
0.64
0.88
0.53
0.66
0.58
0.50
0.11
0.14
0.15
15
20
18
19
19
17
21
16
10
14
10
10
24
24
30
19
26
19
21
20
30
19
30
32
19
22
23
19
23
18
21
18
18
17
19
21
4.51
2.83
6.24
0.74
0.77
0.45
0.04
0.13
0.79
1.26
0.94
0.80
81
Bark thickness (cm)
Max
Mean
StD
0.24
0.14
0.21
0.01
0.21
0.17
0.33
0.20
0.20
Min
No. of rings
Max
Mean
StD
5.33
4.61
4.95
1.41
2.83
6.69
2.52
4.81
5.06
Histogram (with Normal Curve) of Radius & Bark thickness (cm)
Radius (cm)
1.05
0.75
0.90
0.45
0.60
0.30
0.15
Normal
Bark thickness (cm)
Radius (cm)
Mean
4.115
StDev 0.8012
N
93
14
20
Frequency
12
15
Bark thickness (cm)
Mean 0.4991
StDev 0.2026
N
93
10
8
10
6
4
5
2
0
6.0
5.0
5.5
4.0
4.5
3.0
3.5
2.0
2.5
0
(a)
Histogram (with Normal Curve) of Radius (- bark) and No. of rings
Normal
12
18
Radius (cm)
Frequency
20
24
No. of rings
20
16
14
16
28
32
Radius (cm)
Mean 3.614
StDev 0.7351
N
93
No. of rings
Mean 20.83
StDev 5.058
N
93
15
12
10
10
8
6
5
4
2
0
0
2.0 2.5 3.0 3.5 4.0 4.5 5.0
(b)
Figure (15): The measurements of sampled M. peregrina cross-cuts
(a) radius and bark thickness and (b) radius excluded bark
and number of rings.
82
Probability Plot of Radius
Normal
99.9
Mean
StDev
N
AD
P-Value
99
Percent
95
90
3.614
0.7351
93
0.833
0.030
80
70
60
50
40
30
20
10
5
1
0.1
1
2
3
4
Radius (cm)
5
6
(a)
Probability Plot of Bark
Normal
99.9
Mean
StDev
N
AD
P-Value
99
Percent
95
90
0.4991
0.2026
93
2.163
<0.005
80
70
60
50
40
30
20
10
5
1
0.1
0.00
0.25
0.50
0.75
Bark thickness (cm)
1.00
1.25
(b)
Probability Plot of Rings
Normal
99.9
Mean
StDev
N
AD
P-Value
99
Percent
95
90
20.83
5.058
93
1.154
<0.005
80
70
60
50
40
30
20
10
5
1
0.1
5
10
15
.
20
25
No of rings
30
35
40
(c)
Figure (16): Normality test for (a) radius, (b) bark thickness (cm) and
number of rings in sampled M. peregrina cross-cuts.
83
Line Fit Plot
1.0
Bark thickness = 0.121 * Radius (cm)
Bark thickness (cm)
r2 = 0.19
0.8
0.6
0.4
0.2
0.0
0
1
2
3
Radius (cm)
4
5
6
(a)
Line Fit Plot
35
No of rings = 5.68 * Radius (cm)
30
r2 = 0.27
No of rings
25
20
15
10
5
0
0
1
2
3
Radius (cm)
4
5
(b)
Figure (17): Linear regression equation (a) between bark thickness
(cm) and radius, and (b) between radius and number of
annual rings of sampled M. peregrina cross-cuts.
84
b. Bark thickness, radius and number of rings of sampled
trees
ANOVA results revealed that there is a high significant variation (P =
0.000) in estimated trees ages between the four wadis. The histograms of the
estimated radii and hence age distribution significantly departed from fit to
normal distribution (Figure 18).
Anderson-Darling normality test showed that the skewness from normality
is associated with the extreme radii (lower than 7 cm and higher than 28 cm
(Figure 18a). This means that estimated ages less than 40 years and higher than
160 years may be under-estimated (Figure 18b).
The age structure of M. peregrina populations (Figure 19) confirms that the
majority of trees located in the interval [41 - 60] years. It followed by the interval
[60- 80] years. Based on the regression equation, the age structure of M.
peregrina can be summarized as follows: (1) the estimated oldest M. peregrina
tree is 382 years old, while the youngest tree is 13 years old at W. Zaghra. (2) The
oldest M. peregrina tree in W. Me'ir is 285 years old, while the youngest tree is
26 years old. (3) The oldest M. peregrina tree in W. Agala is 192 years old, and
the youngest tree is 20 years old. (4) The oldest M. peregrina tree in W. Feiran is
119 years old, and the youngest tree is 15 years old. In addition to (6) the highest
mean age of the trees recorded in W. Zaghra is 82.3 (± 62.9) followed by W.
Me'ir is 73.2 (± 42), W. Agala is 52.3 (± 38.9), and W. Feiran is 43.75 (± 26.9)
with an overall mean of 69.5 (± 47) in pooled population (Table 13).
85
Probability Plot of Radius (R)
Normal
99.9
Mean
StDev
N
AD
P-Value
99
Percent
95
90
13.93
9.424
404
18.023
<0.005
80
70
60
50
40
30
20
10
5
1
0.1
0
20
40
Radius (R)
60
80
(a)
Probability Plot of Age (2007)
Normal
99.9
Mean
StDev
N
AD
P-Value
99
Percent
95
90
69.54
47.06
404
18.025
<0.005
80
70
60
50
40
30
20
10
5
1
0.1
-100
0
100
200
Age (2007)
300
400
(b)
Figure (18): Normality test of radii (a) and estimated age for 404
trees of M. peregrina in the studied four wadis (b)
86
Table (13): Descriptive statistics of radii bark thickness and no. of rings for
all sampled M. peregrina trees.
Location
W. Agala
Total
wadi
W.
Feiran
Total
wadi
W.
Zaghra
Total
W.wadi
Mei'r
Total
wadi
Pooled
Site
No.
Number
of trees
Min
Radius (cm)
Max
Mean
StD
Bark thickness (cm)
Min Max Mean StD
Min
1
2
3
4
4
5
6
7
8
9
5
10
11
12
13
14
15
6
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
26
41
11
7
6
16
40
4
14
7
15
7
47
13
15
24
2
12
16
82
12
9
10
5
14
7
3
6
16
14
6
8
15
2
9
5
6
12
8
10
9
17
12
7
10
3
235
404
5.0
4.3
4.0
4.8
4.0
6.1
4.3
4.9
4.1
3.0
3.0
2.5
4.8
3.2
11.8
5.6
6.4
2.5
6.7
5.9
6.7
5.6
6.4
6.1
9.3
5.9
6.6
5.1
8.1
6.8
6.4
9.1
8.4
11.5
11.5
8.6
7.6
6.8
6.8
6.8
6.4
5.9
6.8
12.6
5.1
2.5
17.8
10.7
10.4
38.5
38.5
10.0
23.7
15.4
23.1
7.3
23.7
20.4
37.6
51.8
37.4
33.6
76.4
76.4
21.3
22.4
30.3
18.0
25.7
51.8
14.1
22.0
29.3
21.8
25.5
25.2
27.1
16.5
23.2
43.0
34.6
34.6
48.2
49.0
49.1
34.9
28.6
12.3
23.8
22.0
51.8
76.4
3.6
2.7
2.2
10.1
7.8
1.9
6.7
4.2
5.4
1.6
5.4
5.0
11.5
13.0
18.1
7.4
16.9
12.6
4.6
5.4
7.1
5.2
6.0
14.6
2.6
6.1
7.8
5.8
6.3
6.8
5.5
5.2
5.2
13.5
8.4
7.7
15.2
12.5
13.4
6.4
7.6
2.1
6.0
5.0
8.5
9.4
0.6
0.5
0.5
0.6
0.5
0.7
0.5
0.6
0.5
0.4
0.4
0.3
0.6
0.4
1.4
0.7
0.8
0.3
0.8
0.7
0.8
0.7
0.8
0.7
1.1
0.7
0.8
0.6
1.0
0.8
0.8
1.1
1.0
1.4
1.4
1.0
0.9
0.8
0.8
0.8
0.8
0.7
0.8
1.5
0.6
0.3
25.2
21.5
19.9
23.9
19.9
30.6
21.5
24.6
20.7
15.1
15.1
12.7
23.9
15.9
58.8
27.8
31.8
12.7
33.4
29.4
33.4
27.8
31.8
30.6
46.5
29.4
32.9
25.4
40.5
34.2
31.8
45.3
41.7
57.2
57.6
42.9
38.2
34.2
34.2
34.2
31.8
29.4
33.8
62.8
25.4
12.7
7.8
6.9
6.5
15.4
10.5
7.7
10.4
10.2
9.0
4.1
8.8
7.4
17.9
19.3
24.6
14.2
18.9
16.5
13.6
14.1
14.8
10.0
12.9
23.6
11.1
14.2
15.9
10.7
15.7
13.8
11.3
16.5
13.9
23.6
20.7
18.0
26.3
14.4
15.9
12.9
12.4
8.6
13.2
16.3
14.7
13.9
F = 9.53 , P = 0.000
87
2.2
1.3
1.3
4.7
4.7
1.2
2.9
1.9
2.8
0.9
2.9
2.5
4.5
6.3
4.5
4.1
9.2
9.2
2.6
2.7
3.7
2.2
3.1
6.3
1.7
2.7
3.5
2.6
3.1
3.1
3.3
2.0
2.8
5.2
4.2
4.2
5.8
5.9
5.9
4.2
3.5
1.5
2.9
2.7
6.3
9.2
0.9
0.8
0.8
1.9
1.3
0.9
1.3
1.2
1.1
0.5
1.1
0.9
2.2
2.3
3.0
1.7
2.3
2.0
1.6
1.7
1.8
1.2
1.6
2.9
1.3
1.7
1.9
1.3
1.9
1.7
1.4
2.0
1.7
2.8
2.5
2.2
3.2
1.7
1.9
1.6
1.5
1.0
1.6
2.0
1.8
1.7
0.4
0.3
0.3
1.2
0.9
0.2
0.8
0.5
0.7
0.2
0.7
0.6
1.4
1.6
2.2
0.9
2.0
1.5
0.6
0.7
0.9
0.6
0.7
1.8
0.3
0.7
0.9
0.7
0.8
0.8
0.7
0.6
0.6
1.6
1.0
0.9
1.8
1.5
1.6
0.8
0.9
0.3
0.7
0.6
1.0
1.1
No. of rings
Max
Mean
89.0
53.3
51.7
192.4
192.4
50.1
118.5
77.1
115.3
36.6
118.5
101.8
187.6
258.4
186.8
167.7
381.6
381.6
106.5
111.7
151.1
89.8
128.4
258.4
70.4
109.7
146.3
108.9
127.5
126.0
135.2
82.3
116.1
214.7
172.5
172.5
240.5
244.5
245.3
174.1
142.7
61.2
118.9
109.7
258.4
381.6
38.9
34.5
32.5
76.8
52.3
38.6
52.1
50.9
44.9
20.3
43.8
36.7
89.6
96.6
122.8
70.8
94.5
82.3
68.0
70.3
73.8
49.8
64.6
118.0
55.4
70.9
79.1
53.6
78.3
69.0
56.5
82.3
69.3
117.6
103.4
89.6
131.2
71.9
79.2
64.3
62.1
42.8
65.7
81.4
73.2
69.5
StD
18.0
13.4
10.9
50.3
38.9
9.3
33.5
21.1
27.0
7.8
27.0
24.8
57.5
65.1
90.5
37.1
84.4
63.0
22.8
27.1
35.3
26.0
30.2
72.9
13.0
30.4
38.9
28.8
31.5
33.7
27.4
26.1
25.7
67.4
41.8
38.3
76.0
62.4
66.9
32.0
37.9
10.4
29.7
24.9
42.3
47.1
Based on the age structure of M. peregrina in the studied wadis of South
Sinai, one can found that 50 % of the trees in W. Agala, 40.4 % in W. Feiran, 76.8
% in W. Zaghra, 81.7 % in W. Me'ir, and 72.8 % for the pooled population are
older than 40 years (Table 14). Individuals born before the last 20 years are not
exceeding 2.5 % in W. Agala, 8.5 % in W. Feiran, 7.3 % in W. Zaghra, 2.7 % in
the overall population, and there is no newborn in W. Me'ir (zero %) during this
interval. Therefore, in W. Me'ir, no single tree was recorded with age under 20
years (Table 14).
In other word, there is no new individual in last 20 years in both wadis (W.
Agala and W. Me'ir), and there is no single tree in last 15 years in both wadis (W.
Feiran and W. Zaghra). It means that these populations are very sharply decline
with almost no regeneration and most probably will face extinction.
The age structure shows the very unhealthy status of M. peregrina
populations due to the rapidly shrinking in both sides of the curve (Figure 19).
The shrinking phase started around 60 – 80 years ago with sharp decline in the
last 20-40 years. This figure suggests that if the current situation unchanged, the
populations of M. peregrina trees will not persist, that the older trees are not being
replaced by young trees.
88
Table (14): Age structure of M. peregrina populations in the studied four wadis (W. Agala, W. Feiran, W. Zaghra and W.
Me'ir) and pooled population.
Age
Rank
1
Class
[≤20]
2
W. Agala
Freq.
W. Feiran
%
Cum.
%
Freq.
W. Zaghra
%
Cum.
%
Freq.
W. Me'ir
%
Cum.
%
Freq.
Pooled Populations
%
Cum.
%
Freq.
%
Cum.
%
1
2.5
39
97.5
4
8.5
43
91.5
6
7.3
76
92.7
0
0.0
235
100.0
11.0
2.7
393.0
97.3
19
47.5
20
50.0
24
51.1
19
40.4
13
15.9
63
76.8
43
18.3
192
81.7
99.0
24.5
294.0
72.8
3
[41-60]
10
25.0
10
25.0
9
19.1
10
21.3
16
19.5
47
57.3
71
30.2
121
51.5
106.0
26.2
188.0
46.5
4
[61-80]
4
10.0
6
15.0
5
10.6
5
10.6
16
19.5
31
37.8
42
17.9
79
33.6
67.0
16.6
121.0
30.0
5
[81-100]
2
5.0
4
10.0
2
4.3
3
6.4
12
14.6
19
23.2
30
12.8
49
20.9
46.0
11.4
75.0
18.6
6
[101-120]
2
5.0
2
5.0
3
6.4
0
0.0
5
6.1
14
17.1
24
10.2
25
10.6
34.0
8.4
41.0
10.1
7
[121-140]
0
0.0
2
5.0
0
0.0
0
0.0
2
2.4
12
14.6
9
3.8
16
6.8
11.0
2.7
30.0
7.4
8
[141-160]
0
0.0
2
5.0
0
0.0
0
0.0
1
1.2
11
13.4
4
1.7
12
5.1
5.0
1.2
25.0
6.2
9
[161-180]
0
0.0
2
5.0
0
0.0
0
0.0
5
6.1
6
7.3
6
2.6
6
2.6
11.0
2.7
14.0
3.5
10
[181-200]
2
5.0
0
0.0
0
0.0
0
0.0
3
3.7
3
3.7
0
0.0
6
2.6
5.0
1.2
9.0
2.2
11
[201-220]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
3
3.7
2
0.9
4
1.7
2.0
0.5
7.0
1.7
12
[221-240]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
3
3.7
0
0.0
4
1.7
0.0
0.0
7.0
1.7
13
[241-260]
0
0.0
0
0.0
0
0.0
0
0.0
2
2.4
1
1.2
4
1.7
0
0.0
6.0
1.5
1.0
0.2
14
[261-280]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
15
[281-300]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
16
[300-320]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
17
[321-340]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
18
[341-360]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
19
[361-380]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0
0.0
1.0
0.2
0.0
0.0
40
100
47
100
82
100
235
100
404
100
20
[>380]
Total
89
Histogram of Estimated Age (2007)
Normal
140
Mean
StDev
N
120
69.54
47.06
404
Frequency
100
80
60
40
20
400
360
380
320
340
280
300
240
260
200
220
160
180
120
140
80
100
40
60
0
20
0
Estimated Age (year)
(a)
Histogram of Ages by Wadi (2007)
Normal
W. Agala
20
W. Feiran
W. Agala
Mean 52.34
StDev 38.89
N
40
12
15
9
120
100
80
60
40
20
0
180
200
140
160
100
120
80
40
0
60
3
0
0
5
30
W. Feiran
Mean 43.75
StDev 26.97
N
47
6
20
Frequency
10
W.
W.Me'ir
Meir
W. Zaghra
60
W.Meir
Me'ir
W.
Mean 73.18
StDev 42.33
N
235
45
20
30
10
W. Zaghra
Mean 82.27
StDev 62.96
N
82
15
0
40
80
120
160
200
240
280
320
360
400
0
20
40
60
80
100
120
140
160
180
200
220
240
260
0
0
(b)
Figure (19): Age structure of M. peregrina tree (a) in pooled population
and (b) in the studied four wadis.
90
The annual increase of tree radius has been estimated to be
1.76 mm. As the estimated age is a function of the radius and the
annual increment was estimated by dividing the radius by the
estimated age. The annual increment estimation turns to be the
reciprocal of the slope in age regression equation (1/5.68) and hence
constant to all cross-cuts.
c. Static life table
Based on the age structure and static life table of M. peregrina
in South Sinai, the old trees (≥ 180 years old trees in W. Agala, ≥
100 years old in W. Feiran, ≥ 260 years old in W. Zaghra, and ≥ 240
years old in W. Me'ir) have a 100% chance of death (qx = 1.00)
(Tables 15). These death-facing trees represent 5 %, 6.4 %, 1.2 %,
and 1.7 % of populations at W. Agala, W. Feiran, W. Zaghra, and
W. Me'ir respectively. Life table (Table 15) shows that there is
decline in population number in young individuals in the last 20
years. Moreover, lifespan of M. peregrina at which the highest risk
of death was recorded in trees older than 100 years old (represent 10
%, 6.4 %, 23.2 %, and 20.9 % of W. Agala, W. Feiran, W. Zaghra
and W. Me'ir populations, respectively) .
91
Table (15): A static life table for M. peregrina populations at the four studied wadis (W. Agala, W. Feiran, W.
Zaghra and W. Me'ir) and pooled population. X = age entered by time of census, Nx = number of individuals
living in age x, ax = number of individuals that survive to the age x, lx = proportion of original cohort
surviving to age x, Lx = the average proportion alive at the age, Tx = the total number of living individuals at
age class x and beyond, ex = the probability of living 'x' number of years beyond a given age, dx is the
number of individuals that die during stage x, and qx = proportion of individuals entering age x that die
during age x.
Age
Class
Wadi Agala
Nx ax
lx
Lx
Tx
Wadi Feiran
ex
dx
qx
Nx ax
lx
Lx
Tx
Wadi Zaghra
ex
dx
qx
Nx ax
lx
Lx
Tx
ex
Wadi Mei'r
dx
qx
Nx
ax
lx
Lx
Tx
Pooled Population
ex
dx
qx
Nx
ax
lx
Lx
Tx
ex
dx
qx
[≤ 20]
1 40 1.00 0.99 2.68 2.68 1 0.03 4 47 1.00 0.96 2.20 2.20 4 0.09 6 82 1.00 0.96 4.10 4.10 6 0.07
235 1.00 1.00 3.69 3.69 0 0.00 11
404 1.00 0.99 3.50 3.50 11 0.03
[21-40]
19 39 0.98 0.74 1.69 1.73 19 0.49 24 43 0.91 0.66 1.24 1.36 24 0.56 13 76 0.93 0.85 3.13 3.38 13 0.17 43 235 1.00 0.91 2.69 2.69 43 0.18 99
393 0.97 0.85 2.51 2.58 99 0.25
[41-60]
10 20 0.50 0.38 0.95 1.90 10 0.50 9 19 0.40 0.31 0.59 1.45 9 0.47 16 63 0.77 0.67 2.29 2.98 16 0.25 71 192 0.82 0.67 1.78 2.18 71 0.37 106 294 0.73 0.60 1.66 2.29 106 0.36
[61-80]
4 10 0.25 0.20 0.58 2.31 4 0.40 5 10 0.21 0.16 0.28 1.30 5 0.50 16 47 0.57 0.48 1.62 2.82 16 0.34 42 121 0.51 0.43 1.11 2.16 42 0.35 67
0
188 0.47 0.38 1.07 2.29 67 0.36
[81-100]
2
6 0.15 0.13 0.38 2.51 2 0.33 2
5 0.11 0.09 0.12 1.10 2 0.40 12 31 0.38 0.30 1.14 3.01 12 0.39 30
79 0.34 0.27 0.69 2.04 30 0.38 46
121 0.30 0.24 0.68 2.28 46 0.38
[101-120]
2
4 0.10 0.08 0.25 2.51 2 0.50 3
3 0.06 0.03 0.03 0.50 3 1.00 5 19 0.23 0.20 0.83 3.60 5 0.26 24
49 0.21 0.16 0.41 1.99 24 0.49 34
75 0.19 0.14 0.44 2.38 34 0.45
[121-140]
0
2 0.05 0.05 0.18 3.53 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 2 14 0.17 0.16 0.63 3.71 2 0.14
9
25 0.11 0.09 0.26 2.42 9 0.36 11
41 0.10 0.09 0.30 2.94 11 0.27
[141-160]
0
2 0.05 0.05 0.13 2.45 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 1 12 0.16 0.15 0.47 2.97 1 0.08
4
16 0.07 0.06 0.17 2.50 4 0.25
5
30 0.08 0.07 0.21 2.74 5 0.17
[161-180]
0
2 0.05 0.05 0.08 1.50 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 5 11 0.13 0.10 0.32 2.41 5 0.45
6
12 0.05 0.04 0.11 2.17 6 0.50 11
25 0.06 0.05 0.14 2.26 11 0.44
[361-380]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
0
0
1
1 0.01 0.01 0.01 0.50 0 0.00
92
0.00 0.00 0.00 0.00 0 0.00
0
0.00 0.00 0.00 1.50 0 0.00
Table (15): continue
Age
Class
Wadi Agala
Nx ax
lx
Lx
Tx
Wadi Feiran
ex
dx
qx
Nx ax
lx
Lx
Tx
Wadi Zaghra
ex
dx
qx
Nx ax
lx
Lx
Tx
ex
Wadi Mei'r
dx
qx
Nx
ax
lx
Lx
Tx
Pooled Population
ex
dx
qx
Nx
ax
lx
Lx
Tx
ex
dx
qx
[181-200]
2
2 0.05 0.03 0.03 0.50 2 1.00 0
0 0.00 0.00 0.00 0.00 0 0.00 3
6 0.07 0.05 0.22 3.00 3 0.50
0
6
0.03 0.03 0.07 2.83 0 0.00
5
14 0.03 0.03 0.09 2.64 5 0.36
[201-220]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
3 0.04 0.04 0.16 0.00 0 0.00
2
6
0.03 0.02 0.05 1.83 2 0.00
2
9
0.02 0.02 0.06 2.83 2 0.00
[221-240]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
3 0.04 0.04 0.13 3.50 0 0.00
0
4
0.02 0.02 0.03 1.50 0 0.00
0
7
0.02 0.02 0.04 2.50 0 0.00
[241-260]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 2
3 0.04 0.02 0.09 2.50 2 0.00
4
4
0.02 0.01 0.01 0.50 4 1.00
6
7
0.02 0.01 0.03 1.50 6 0.00
[261-280]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
1 0.01 0.01 0.07 5.50 0 0.00
0
0
0.00 0.00 0.00 0.00 0 0.00
0
1
0.00 0.00 0.02 6.50 0 0.00
[281-300]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
1 0.01 0.01 0.05 4.50 0 0.00
0
0
0.00 0.00 0.00 0.00 0 0.00
0
1
0.00 0.00 0.01 5.50 0 0.00
[300-320]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
1 0.01 0.01 0.04 3.50 0 0.00
0
0
0.00 0.00 0.00 0.00 0 0.00
0
1
0.00 0.00 0.01 4.50 0 0.00
[321-340]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
1 0.01 0.01 0.03 2.50 0 0.00
0
0
0.00 0.00 0.00 0.00 0 0.00
0
1
0.00 0.00 0.01 3.50 0 0.00
[341-360]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
1 0.01 0.01 0.02 1.50 0 0.00
0
0
0.00 0.00 0.00 0.00 0 0.00
0
1
0.00 0.00 0.01 2.50 0 0.00
[361-380]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 0
1 0.01 0.01 0.01 0.50 0 0.00
0
0
0.00 0.00 0.00 0.00 0 0.00
0
1
0.00 0.00 0.00 1.50 0 0.00
[>381]
0
0 0.00 0.00 0.00 0.00 0 0.00 0
0 0.00 0.00 0.00 0.00 0 0.00 1
1 0.00 0.00 0.00 0.00 1 1.00
0
0
0.00 0.00 0.00 0.00 0 0.00
1
1
0.00 0.00 0.00 0.50 1 1.00
Total
40
47
82
235
93
404
d. Survivorship Curve
Based on the survivorship values (lx) in life table, the
survivorship curve of M. peregrina populations in South Sinai
represents type III of survivorship curves due to the high rate of
mortality among the young and the old trees. At the age class [2140], the value of lx was declined in the three wadis (Agala, Feiran
and Zaghra), while in W. Me'ir, it declined at the age class [41-60]
referring to that the highest mortality rate starting in small ages
(Figure 20).
1.2
W. Agala
W. Feiran
1
W. Zaghra
Pooled population
0.8
0.6
0.4
0.2
Age Class (years)
Figure (20): Survivorship curve of the main populations of Moringa
per peregrina peregrina
94
[≥ 381]
[361-380]
[341-360]
[321-340]
[300-320]
[281-300]
[261-280]
[241-260]
[221-240]
[201-220]
[181-200]
[161-180]
[141-160]
[121-140]
[101-120]
[81-100]
[61-80]
[41-60]
[21-40]
0
[< 20]
Survivorship
Survivorship
(lx) (lx)
W. Me'ir
III. Size structure of Moringa populations
The output results of size structure of M. peregrina
populations showed that the mean values of tree height is 6.9 m (±
3.5), crown cover area is 17.7 m2 (± 20.2), circumference at ground
level (CAG) is 87.5 cm (± 59.2) and circumference/height ratio is
0.13 (±0.07) (Table 16 & Figure 21). The highest mean values of
the tree height (8.1 m), crown cover area (25.8 m2), circumference
at ground level (103.5 cm) were recorded in the trees of W. Zaghra
(Table 16).The minimum value of tree height (1 m) was recorded in
W. Zaghra, while the highest value (17 m) in W. Me'ir. The
minimum value of crown cover (0.3 m2) was recorded in W. Feiran,
while the highest value (203.5 m2) in W. Zaghra. At the same time,
the minimum value of circumference (16 cm) and the highest value
(480 cm) were recorded in W. Zaghra (Table 16 & Figure 22).
ANOVA (one-way) results revealed that there is highly
significant variations (P = 0.000) in the measured tree size (height,
crown cover area, and trunk circumference) between the four wadis.
Moreover,
significant
variation
(P
=
0.029)
was
in
circumference/height ratio between the studied wadis (Table 16).
Comparing height, cover, and circumference, Tukey test could only
discriminate between trees at W. Agala and wadis (Feiran, Zaghra,
and Me'ir), and between trees at W. Feiran and trees at both (W.
Zaghra and W. Me'ir). Finally, it couldn't discriminate between
trees at W. Zaghra on one side and W. Me'ir on the other.
95
Table (16): The descriptive statistics of the vegetative parameters of
M. peregrine populations in South Sinai.
Location
Site
Crown cover area (m2)
Tree height (m)
Circumference (cm)
Circumference/height ratio
No.
Min
Max
Mean
StD.
Min
Max
Mean
StD.
Min
Max
Mean
StD.
Min
Max
Mean
StD.
W.
1
3.5
8.2
6.0
1.6
2.4
19.2
10.0
5.2
31.7
112.0
49.0
22.6
0.05
0.15
0.08
0.04
Agala
2
3.2
6.2
4.4
1.1
1.8
11.9
6.9
4.6
27.0
67.0
43.4
16.8
0.04
0.20
0.11
0.06
3
3.0
7.3
4.8
2.0
2.4
14.2
8.6
4.6
25.0
65.0
40.9
13.7
0.05
0.12
0.09
0.02
4
1.7
12.0
5.3
2.8
0.6
32.2
12.7
8.9
30.0
242.0
96.6
63.3
0.09
0.30
0.19
0.07
Total
1.7
12.0
5.3
2.2
0.6
32.2
10.3
7.0
25.0
242.0
65.8
48.9
0.04
0.30
0.13
0.07
W.
5
3.8
6.2
4.8
1.0
8.8
14.9
11.9
3.0
38.5
63.0
48.5
11.7
0.08
0.12
0.10
0.02
Feiran
6
2.3
10.5
4.8
2.7
0.3
43.0
9.0
12.5
27.0
149.0
65.6
42.2
0.08
0.29
0.14
0.06
7
2.0
8.0
5.6
2.2
1.7
34.2
17.9
11.8
31.0
97.0
64.1
26.5
0.08
0.18
0.12
0.04
8
1.8
11.4
6.2
3.1
1.1
40.1
11.5
10.9
26.0
145.0
56.5
34.0
0.05
0.17
0.10
0.04
9
1.7
5.2
3.2
1.2
0.6
27.8
6.4
9.6
19.0
46.0
25.6
9.7
0.04
0.12
0.09
0.03
Total
1.7
11.4
5.1
2.6
0.3
43.0
11.0
11.1
19.0
149.0
55.0
33.9
0.04
0.29
0.11
0.05
W.
10
2.5
8.5
6.0
2.3
1.0
35.8
11.4
11.0
16.0
128.0
46.2
31.2
0.04
0.18
0.08
0.04
Zaghra
11
4.3
15.8
8.2
3.8
8.3
203.5
46.5
54.2
30.0
236.0
112.7
72.3
0.07
0.30
0.14
0.08
12
2.3
14.0
8.9
3.2
0.6
52.1
27.7
15.4
20.0
325.0
121.5
81.9
0.03
0.43
0.14
0.08
13
12.0
12.5
12.3
0.4
11.6
47.2
29.4
25.1
74.0
235.0
154.5
113.8
0.06
0.20
0.13
0.10
14
1.0
14.0
9.1
3.4
1.0
37.9
21.1
11.6
35.0
211.0
89.1
46.7
0.06
0.35
0.12
0.08
15
4.0
10.5
7.2
1.8
5.5
34.7
18.4
8.3
40.0
480.0
118.9
106.1
0.08
0.56
0.16
0.12
Total
1.0
15.8
8.1
3.2
0.6
203.5
25.8
27.6
16.0
480.0
103.5
79.2
0.03
0.56
0.13
0.09
W.
16
3.5
14.5
9.5
3.5
2.4
50.9
23.2
17.2
42.0
134.0
85.5
28.7
0.06
0.17
0.10
0.03
Me'ir
17
2.5
15.5
8.9
4.6
2.7
53.4
25.1
17.0
37.0
140.5
88.4
34.1
0.07
0.20
0.12
0.05
18
3.0
14.5
8.2
4.3
2.7
116.4
28.6
36.8
42.0
190.0
92.8
44.4
0.09
0.16
0.12
0.02
19
1.9
12.5
6.4
4.2
0.6
39.0
18.0
17.5
35.0
113.0
62.6
32.7
0.06
0.18
0.12
0.05
20
1.5
15.0
5.5
3.5
1.3
26.0
10.1
8.6
40.0
161.5
81.3
37.9
0.06
0.31
0.17
0.06
21
6.0
17.0
11.1
4.3
11.6
107.5
48.2
33.1
38.5
325.0
148.4
91.7
0.06
0.25
0.14
0.07
22
2.0
8.0
5.8
3.3
3.3
18.5
11.9
7.8
58.5
88.5
69.7
16.4
0.07
0.31
0.17
0.13
23
3.0
16.0
9.3
6.1
1.3
105.6
53.2
53.4
37.0
138.0
89.2
38.3
0.08
0.21
0.12
0.06
24
3.0
10.5
6.0
2.2
1.3
25.5
10.7
7.7
41.3
184.0
99.5
48.9
0.08
0.33
0.17
0.07
25
2.0
15.5
6.3
4.1
0.8
64.3
16.2
18.0
32.0
137.0
67.5
36.2
0.08
0.17
0.12
0.03
26
2.6
14.0
7.6
4.2
2.1
30.7
14.1
10.1
51.0
160.3
98.5
39.6
0.11
0.20
0.14
0.04
27
2.5
16.0
10.9
4.7
3.6
87.4
22.2
27.8
43.0
158.5
86.8
42.4
0.05
0.17
0.09
0.04
28
1.5
11.8
5.2
3.3
1.1
39.0
9.7
9.8
40.0
170.0
71.1
34.4
0.05
0.27
0.16
0.05
29
2.6
10.0
6.3
5.2
5.9
20.0
13.0
10.0
57.0
103.5
80.3
32.9
0.10
0.22
0.16
0.08
30
3.5
16.3
8.3
4.5
2.3
36.3
16.9
9.9
52.5
146.0
87.2
32.4
0.09
0.19
0.12
0.04
31
4.7
14.8
9.6
3.6
9.3
47.2
28.6
15.3
72.0
270.0
147.9
84.8
0.06
0.26
0.16
0.09
32
4.7
9.5
7.4
2.0
8.6
20.4
13.2
5.0
72.5
217.0
130.0
52.5
0.11
0.23
0.18
0.05
33
1.8
8.5
5.8
2.5
1.5
30.7
11.6
8.6
54.0
217.0
112.8
48.2
0.14
0.30
0.21
0.06
34
2.0
12.5
7.2
3.9
1.6
42.4
16.6
16.0
48.0
302.5
165.0
95.6
0.15
0.38
0.23
0.07
35
3.0
10.5
6.0
2.2
3.3
37.9
12.5
10.1
43.0
307.5
90.5
78.5
0.09
0.29
0.14
0.06
36
2.8
9.6
5.9
2.2
1.7
20.8
10.7
6.4
43.0
308.5
99.6
84.1
0.09
0.32
0.15
0.07
37
3.0
12.5
6.3
2.2
2.4
39.6
13.0
8.6
43.0
219.0
80.8
40.3
0.08
0.18
0.13
0.03
38
2.3
9.5
5.1
2.2
2.7
21.6
10.1
7.0
40.0
179.5
78.1
47.7
0.11
0.25
0.15
0.04
39
4.0
7.0
5.6
1.1
5.5
14.2
10.1
2.6
37.0
77.0
53.9
13.0
0.07
0.12
0.10
0.02
40
5.5
14.5
9.0
3.1
5.9
47.2
21.2
13.6
42.5
149.5
82.6
37.4
0.06
0.19
0.10
0.04
41
4.5
7.0
6.0
1.3
12.9
37.4
23.7
12.5
79.0
138.0
102.3
31.4
0.12
0.31
0.19
0.11
Total
1.5
17.0
7.1
3.7
0.6
116.4
17.5
19.1
32.0
325.0
92.1
53.2
0.05
0.38
0.14
0.06
Pooled population
1.0
17.0
6.9
3.5
0.3
203.5
17.7
20.2
16.0
480.0
87.5
59.2
0.03
0.56
0.13
0.07
F-value
11.26
8.36
P
0.000
0.000
96
9.53
3.05
0.000
0.029
Tree Height (m)
Normal
W. Agala
W. Feiran
W . A gala
Mean
5.253
StDev 2.176
N
40
8
8
6
6
W. Zaghra
15
12
10
11
8
9
6
W.Me'ir
Meir
W.
30
20
7
4
5
2
3
0
0
1
2
0
12
2
0
1
2
3
4
5
6
7
8
9
10
11
Frequency
W . Feiran
5.121
Mean
StDev 2.615
N
47
4
4
W . Zaghra
Mean
8.067
StDev 3.172
N
82
W
Meir
W.. Me'ir
Mean
7.088
StDev 3.669
N
235
20
10
10
5
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
0
0
(a)
Crown cover area (m2 )
Normal
W . A gala
W . Feiran
10.0
7.5
9
200
140
120
40
40
45
30
35
20
25
10
W . Zaghra
Mean
25.79
StDev 27.58
N
82
W.
W .Me'ir
Mei r
Mean
17.49
StDev 19.10
N
235
0
10
20
0
180
15
0
160
30
10
100
20
60
45
80
30
20
60
15
32
24
28
16
20
8
4
W . Zaghra
40
Me'irr
WW.
. Mei
30
40
50
60
70
80
90
100
110
120
0
5
0.0
W . Feiran
10.98
Mean
StDev 11.09
N
47
0
3
12
6
2.5
0
5.0
0
Frequency
W . A gala
Mean
10.30
StDev 6.976
N
40
12
(b)
Circumference/height
Normal
W . Feiran
0.35
0.40
0.30
0.25
0.20
0.15
0.10
0.00
W . Zaghra
Mean
0.1288
StDev
0.08632
N
82
0.35
0.40
0.30
0.25
0.20
0.10
0.00
W . Me' ir
Mean
0.1423
StDev
0.06160
N
235
0.05
0.55
0.50
0.45
0.40
0.30
0
0.35
15
0
0.20
30
20
0.25
40
0.10
45
0.15
60
0.00
W . Me' ir
60
0.15
W . Zaghra
80
W . A gala
Mean
0.13
StDev
0.06958
N
40
W . Feiran
Mean
0.1126
StDev
0.04503
N
47
0.05
0.54
0.48
0.42
0.30
0
0.36
0
0.18
4
0.24
8
2
0.12
12
4
0.00
6
0.06
16
0.05
Frequency
W . A gala
8
(c)
Figure (21): Size structure of M. peregrina tree populations (a) tree
height (m) (b) crown cover (m2), and (c) circumference/height in
South Sinai.
97
Size structure of pooled population in South Sinai
Normal
Height (m)
Crown Cover (m2)
Height
Mean 6.876
StDev 3.466
N
404
160
120
30
80
15
40
0
0
Crown Cover
Mean 17.70
StDev 20.19
N
404
0
15
30
45
60
75
90
105
120
135
150
165
180
195
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
45
Circumference (CAG) (cm)
Circumference/height
Circumference (CAG)
Mean 87.47
StDev 59.19
N
404
0.56
0.48
0.32
0.40
0.24
0.16
0.08
Circumference/height
Mean
0.1348
StDev 0.06707
N
404
0.00
480
400
440
320
0
360
0
240
15
280
20
160
30
200
45
40
80
60
120
60
0
80
40
Frequency
60
Figure (22): Size structure [height (m), crown cover area (m2),
circumference (cm), and circumference/height ratio] of
pooled population of M. peregrina trees in South Sinai.
The comparison between the size structures of the four wadis
showed that 90 % of M. peregrina trees in W. Agala, 72.3 % in W.
Feiran, 91.5 % in W. Zaghra, and 87.2 % W. Me'ir are more than 3
m height. Moreover, 32.5 % of M. peregrina trees in W. Agala,
29.8 % in W. Feiran, 17.1 % in W. Zaghra, and 52.3 % in W. Me'ir
are more than 6 m height. On the other hand, 2.5 % of M. peregrina
trees in W. Agala, 12.8 % in W. Feiran, 7.3 % in W. Zaghra, and
24.7 % W. Me'ir are more than 9 m height (Table 17). There are
only 2 trees in W. Zaghra (2.4 %) and 8 trees in W. Me'ir (3.4 %)
more than 15 m height. Therefore, the height of M. peregrina trees
in the pooled population showed that 86.6 % are more than 3 m
height and 53.5 % are more 6 m height. Furthermore, 22 % of
population is more than 9 m height, and 9.7 % is more than 12 m
98
Table (17): Size structure of M. peregrina in the four wadis (W. Agala, W. Feiran, W. Zaghra and W. Mei'r)
Class
W. Feiran
W. Zaghra
W. Mei'r
Pooled Populations
%
Cum.
%
Freq.
%
Cum.
%
Freq.
%
Cum.
%
Freq.
%
Cum.
%
Freq.
%
Cum.
%
[1 - 3 ]
4
10.0
36
90.0
13
27.7
34
72.3
7
8.5
75
91.5
30
12.8
205
87.2
54.0
13.4
350.0
86.6
[3.1 - 6 ]
23
57.5
13
32.5
20
42.6
14
29.8
9
11.0
14
17.1
82
34.9
123
52.3
134.0
33.2
216.0
53.5
[6.1 - 9 ]
12
30.0
1
2.5
8
17.0
6
12.8
42
51.2
6
7.3
65
27.7
58
24.7
127.0
31.4
89.0
22.0
[9.1 - 12 ]
1
2.5
0
0.0
6
12.8
0
0.0
15
18.3
0
0.0
28
11.9
30
12.8
50.0
12.4
39.0
9.7
[12.1 - 15 ]
0
0.0
0
0.0
0
0.0
0
0.0
7
8.5
0
0.0
22
9.4
8
3.4
29.0
7.2
10.0
2.5
[15.1 - 18 ]
0
0.0
0
0.0
0
0.0
0
0.0
2
2.4
0
0.0
8
3.4
0
0.0
10.0
2.5
0.0
0.0
[1 - 20]
36
90.0
4
10.0
37
78.7
10
21.3
38
46.3
44
53.7
166
70.6
69
29.4
285.0
70.5
119.0
29.5
[20.1 - 40]
4
10.0
0
0.0
8
17.0
2
4.3
31
37.8
13
15.9
50
21.3
19
8.1
85.0
21.0
34.0
8.4
[40.1 - 60]
0
0.0
0
0.0
2
4.3
0
0.0
11
13.4
2
2.4
10
4.3
9
3.8
23.0
5.7
11.0
2.7
[60.1 - 80]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
2
2.4
3
1.3
6
2.6
3.0
0.7
8.0
2.0
[80.1 - 100]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
2
2.4
2
0.9
4
1.7
2.0
0.5
6.0
1.5
[100.1 - 120]
0
0.0
0
0.0
0
0.0
0.0
0
0.0
2
2.4
4
1.7
0
0.0
4.0
1.0
2.0
0.5
[120.1 - 140]
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
1
1.2
0
0.0
0
0.0
1.0
0.2
1.0
0.2
[140.1 - 160]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
[160.1 - 180]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
[180.1 - 200]
0
0.0
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0.0
0.0
1.0
0.2
[200.1 - 220]
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0
0.0
1.0
0.2
0.0
0.0
[0.01 - 0.1]
18
45.0
22
55.0
23
48.9
24
51.1
42
51.2
40
48.8
72
30.6
163
69.4
155.0
38.4
249.0
61.6
0.11 - 0.2]
17
42.5
5
12.5
22
46.8
2
4.3
31
37.8
9
11.0
130
55.3
33
14.0
200.0
49.5
49.0
12.1
[0.21 - 0.3]
5
12.5
0
0.0
2
4.3
0
0.0
5
6.1
4
4.9
27
11.5
6
2.6
39.0
9.7
10.0
2.5
[0.31 - 0.4]
0
0.0
0
0.0
0
0.0
0
0.0
2
2.4
2
2.4
6
2.6
0
0.0
8.0
2.0
2.0
0.5
[0.41 - 0.5]
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
1
1.2
0
0.0
0
0.0
1.0
0.2
1.0
0.2
[0.51 - 0.6]
Total
0
0.0
0
0.0
0
0.0
0
0.0
1
1.2
0
0.0
0
0.0
0
0.0
1.0
0.2
0.0
0.0
40
100
47
100
82
100
235
100
404
100
Tree height
(m)
Crown cover
area
(m2)
Circumference/
height ratio
W. Agala
Freq.
99
height, and only 2.5 % of M. peregrina population is more than 15
m height. The tree height of M. peregrina trees in 10% of
population in W. Agala, 27.7% in W.Feiran, 8.5% in W. Zaghra and
12.8 % in W. Me'ir was (1-3) m. The majority are trees are located
in height class (3.1 – 6) m; 57 % of population in W. Agala, 42.6 %
in W. Feiran, and 34.9 % in W. Me'ir. On the other hand, 51.2 % of
trees in W. Zaghra are located in the height class (6.1–9). The
results of crown cover area of M. peregrina showed that 10 % in W.
Agala, 21.3 % in W. Feiran, 53.7 % in W. Zaghra, and 29.4 % W.
Me'ir are more than 20 m2. There is no tree in W. Agala more than
40 m2, while 4.3 % of trees in W. Feiran, 15.9 % in W. Zaghra, and
8.1 % W. Me'ir are more than 40 m2. This means that there are no
small sizes of M. peregrina trees in the studied wadis where there is
only one tree in W. Zaghra more than 200 m2 in crown cover area.
The Pearson correlation coefficient showed that there is a
highly significant positive linear relationship between tree size and
estimated tree age. Based on this correlation and the output results
of the linear regression analysis the size (especially height, and
circumference/height ratio) can be used to expect the age class of
M. peregrina tree (Table 18).
Table (18): Pearson correlation and linear regression between size and
age of M. peregrina tree.
Correlation
Linear regression
C.C
P
r2
P
1) Height (m)
0.580
0.000
0.36
0.000
Age (year) = 9.66 height (m)
2) Crown Cover (m2)
0.529
0.000
0.28
0.000
Age (year) = 2.41 Crown Cover
3) Circumf. / Height
0.580
0.000
0.36
0.000
Age (year) = 494 Circumf./height
100
equation
IV. Soil characteristics
1. Nature of soil surface (NSS)
The results of nature of soil surface in quadrate (5 x 5m)
revealed that the highest mean value of fine fractions (8.57 ± 3.78
%), gravel (19.3 ±4.5 %), and cobbles (28.57 %) were recorded at
W. Me'ir. On the other hand, the highest mean value of stones (43 ±
7.58 %) in W. Zaghra, boulders (38.3 ± 22.55%) in W. Agala
(Figure 23). Bare rocks appear only in the quadrates of both W.
Agala (10 %) and (3.3 %) in W. Feiran (Table 19).
2. Physical characteristics
2.1. Soil texture
Based on the results of nature of soil surface, W. Me'ir has the
highest mean value of fine fractions (8.57 % ± 3.78). Moreover, the
soil surface of W. Agala and W. Zaghra has the highest mean value
of rocky fragments (stones = 43 % ± 7.58 in W. Zaghra, and
boulders = 38.3 % ± 22.55 in W. Agala). Soil of W. Agala and W.
Feiran characterized by sandy soils, on the other hand, soil texture
was sandy loamy to sandy in W. Zaghra and in W. Me'ir. The
highest mean value of gravels (28.67 ± 1.53 %) was recorded in
soils collected from W. Feiran (Figure 24a).
The results of mechanical soil texture by sieves methods
showed that the highest mean of coarse sand (50.47 ± 11.22 %) was
recorded in W. Agala. However, the soil of W. Zaghra showed the
highest mean of medium sand (29.14 ± 9.71) (Table 19). Moreover,
the soil of W. Me'ir showed the highest mean values of fine sand
(32.18 ± 10.43 %) and silt + clay (20.1 ± 6.19) (Figure 24b).
101
Table (19): Descriptive data and one-way ANOVA of soil conditions.
W. Agala
Min
Max
Mean
St. Dev.
0.00
5.00
3.33
2.89
10.00
25.00
16.67
7.64
10.00
20.00
15.00
5.00
10.00
30.00
16.67
11.55
15.00
60.00
38.33
22.55
0.00
30.00
10.00
17.32
16.50
35.00
27.50
9.73
40.00
62.32
50.47
11.22
22.17
27.69
24.41
2.91
3.59
15.38
9.56
5.90
5.80
23.95
15.56
9.15
0.43
2.37
1.21
1.03
2.11
3.41
2.77
0.65
W. Feiran
Min
Max
Mean
St. Dev.
0.00
10.00
5.00
5.00
10.00
15.00
11.67
2.89
10.00
45.00
28.33
17.56
10.00
40.00
21.67
16.07
25.00
40.00
30.00
8.66
0.00
10.00
3.33
5.77
27.00
30.00
28.67
1.53
38.36
43.57
41.63
2.85
23.57
26.71
24.98
1.60
18.57
23.70
21.37
2.59
10.56
14.29
12.03
1.98
0.36
0.81
0.54
0.23
1.44
3.67
2.71
1.15
W. Zaghra
Min
Max
Mean
St. Dev.
5.00
10.00
6.00
2.24
5.00
25.00
12.00
8.37
15.00
20.00
18.00
2.74
35.00
55.00
43.00
7.58
15.00
30.00
22.00
7.58
0.00
0.00
0.00
0.00
18.00
36.00
28.50
7.63
28.57
54.81
42.70
9.89
20.74
43.29
29.14
9.71
12.80
22.73
18.00
4.14
5.49
13.64
10.16
3.29
0.39
2.30
0.95
0.77
1.57
3.12
2.60
0.65
W. Mei'r
Min
Max
Mean
St. Dev.
F-value
P-value
5.00
15.00
8.57
3.78
1.84
0.187
15.00
25.00
19.29
4.50
1.83
0.188
20.00
40.00
28.57
7.48
2.79
0.079
15.00
40.00
27.14
8.09
5.38
0.011
5.00
25.00
16.43
6.27
3.27
0.053
0.00
0.00
0.00
0.00
1.71
0.210
10.00
36.50
23.28
8.65
.66
0.591
13.70
31.50
20.57
6.87
15.37
0.000
17.28
49.32
27.16
9.83
0.25
0.858
12.91
43.68
32.18
10.43
7.44
0.002
10.00
26.77
20.09
6.19
3.74
0.033
0.15
1.10
0.59
0.31
1.22
0.335
1.08
3.65
2.25
1.03
0.39
0.764
Locations
Statistic
Gravel
Fine F
Gravel
Cobble
Stones
Boulders
Bare
%
%
%
%
%
rock
102
Coarse
Med.
Fine
Silt +
%
sand
Sand
Sand
Clay %
%
SOM
Sieving method
Moist. %
N.S.S
Table (19): continue
EC
Salinity
TSS
Locations
Statistic
pH
mS/
cm
(ppm)
%
W. Agala
Min
Max
Mean
St. Dev.
7.86
8.24
8.00
0.21
1.06
4.64
2.53
1.87
135.7
593.9
323.8
239.9
W. Feiran
Min
Max
Mean
St. Dev.
7.31
7.68
7.51
0.19
2.67
3.80
3.37
0.61
W. Zaghra
Min
Max
Mean
St. Dev.
6.95
7.25
7.13
0.12
W. Mei'r
Min
Max
Mean
St. Dev.
F-value
P-value
6.18
8.14
7.54
0.57
2.69
0.081
Water soluble anions (meq/L)
Water soluble cations (meq/L)
Phosphorus
avaialble
TP
Nitrogen
TN
CO32-
HCO3-
Cl-
SO42-
Na+
K+
Ca++
Mg++
ppm
%
%
0.07
0.30
0.16
0.12
-
3.50
5.75
4.58
1.13
0.92
4.27
2.34
1.73
0.27
4.09
1.74
2.06
0.19
0.77
0.47
0.29
0.77
4.18
2.26
1.75
0.48
3.44
1.49
1.69
0.57
1.12
0.77
0.30
0.34
3.78
2.11
1.72
0.03
0.03
0.03
0.00
0.07
0.15
0.12
0.04
341.8
486.4
431.4
78.3
0.17
0.24
0.22
0.04
-
2.75
6.25
4.25
1.80
2.75
3.20
2.90
0.26
1.63
2.98
2.40
0.70
0.77
1.27
1.06
0.26
1.17
2.38
1.76
0.61
0.69
1.31
1.03
0.32
1.81
2.94
2.29
0.58
2.25
2.83
2.46
0.32
0.03
0.04
0.04
0.00
0.08
0.34
0.22
0.13
4.85
10.70
7.63
2.89
620.8
1369.6
976.4
370.2
0.31
0.68
0.49
0.19
-
2.75
15.00
11.10
5.47
3.21
10.98
6.86
3.57
3.56
7.47
5.74
1.78
1.60
7.43
4.16
2.54
2.62
4.75
3.46
0.89
1.86
6.36
3.86
1.96
2.08
5.10
3.35
1.23
1.81
3.32
2.58
0.69
0.03
0.03
0.03
0.00
0.20
0.51
0.29
0.13
0.91
12.38
4.06
4.13
1.97
0.158
116.5
1584.0
519.9
528.7
1.98
0.158
0.06
0.79
0.26
0.26
1.99
0.157
-
2.75
13.75
5.42
3.68
3.21
0.051
0.57
7.98
3.08
2.77
2.71
0.079
0.31
8.07
2.72
2.87
2.58
0.090
0.11
5.45
1.40
1.76
3.78
0.032
0.39
12.21
3.10
3.73
0.31
0.818
0.38
3.83
1.27
1.04
4.57
0.017
0.28
8.89
2.23
2.74
0.99
0.421
1.10
3.83
2.26
0.83
0.22
0.883
0.02
0.05
0.04
0.01
0.94
0.444
0.06
0.49
0.26
0.14
1.33
0.299
103
50
45
43.0
40
38.33
35
30.00
30
28.6
28.33
25
22.00
21.7
20
16.7
15
16.43
12.0
11.7
5
19.3
18.0
16.7
15.0
10.00
10
8.57
6.00
5.00
3.33
27.1
3.33
0.00
0.00
0
W. Agala
W. Feiran
Fine fractions
Gravel
W. Zaghra
Cobble
Stones
Bolders
W. Agala
Bare rock
Figure (23): Variations of the mean values of nature of soil surface (N.S.S.)
of the four wadis in the study area.
104
(a)
Gravel %
35
30
25
%
20
15
10
5
0
W. Agala
W. Feiran
W. Zaghra
W. Me'ir
(b)
Soil texture (Sieving method)
100
90
80
70
60
50
40
30
20
10
0
W. Agala
W. Feiran
Coarse Sand
W. Zaghra
Medium Sand
Fine Sand
W. Me'ir
Silt+ Clay
Figure (24): Variations of the mean values of soil texture in the four
studied wadis (a) gravel % and (b) soil particles using
sieving method.
105
2.2. Moisture content
The results of moisture contents that collected from the four
studied wadis showed that the highest mean values of moisture
content (1.21 ± 1.03 %).
3. Chemical characteristics
3.1. Soil organic matter (SOM)
The highest mean of soil organic matter (2.77 ± 0.65) were
recorded in W. Agala. One of the most common observations in the
field was that the highest wadi subjected to over-grazing and
presence of cultivated plants by Bedouins of the area was W. Agala
(Figure 25).
Moisture content (%)
2.0
SOM (%)
4.0
(b)
(a)
3.5
3.0
1.5
2.5
%
2.0
1.0
1.5
1.0
0.5
0.5
0.0
0.0
W.
Agala
W.
W.
Feiran Zaghra
W.
Me'ir
W.
Agala
W.
W.
W.
Feiran Zaghra Me'ir
Figure (25): Variations of the mean values of moisture and organic
matter content (%) in the four studied wadis.
106
3.2. Soil pH
The soil of the four studied wadis is slightly alkaline; the
highest mean value of pH (8 ± 0.21) was recorded in W. Agala
(Figure 26a). The highest mean value of electrical conductivity
(7.63 ± 2.89 mS.cm-1), and hence salinity (976.4 ± 370.2 ppm) and
total soluble salts (0.49 %) was recorded in W. Zaghra (Table 18
and Figure 26b).
4. Soluble Salts
The highest mean values (meq/L) of water soluble anions
HCO3- (11.1 ± 5.47), Cl- (6.86 ± 3.57), and SO42- (5.74 ± 1.78) were
recorded in soil of W. Zaghra (Table 19 and Figure 27). At the same
time the highest mean values of water soluble cations Na+ (4.16 ±
2.54), K+ (3.46 ± 1.96), Ca++ (3.86 ± 1.23) and Mg++ (3.35 ± 1.23)
recorded in W. Zaghra (Table 19 and Figure 28).
5. Total, available phosphorus and total nitrogen
Moreover, the highest mean value of available phosphorus
(2.58 ± 0.69 ppm), and total nitrogen (0.29 ± 0.13 %) were recorded
in soils collected from W. Zaghra. The values of the total
phosphorus (TP) were almost the same, where the highest mean
value (0.037 %) was recorded in the soil of W. Feiran (Table 19 and
Figures 29, 30).
The results of one-way ANOVA showed that the variation in
stones, boulders, and silt + clay between the four studied wadis is
statistically significant (P ≤ 0.05). While, coarse and fine sand are
statistically highly significant (P ≤ 0.000). The rest of physical
107
characters (fine fraction, gravel, bare rock, medium sand, moisture
and organic matter) showed nonsignificant variation between them.
The differences in water soluble anions and cations (except K+ and
Mg++) are highly significant between the studied wadis (Table 18).
Soil pH
Electrical Conductivity (EC)
(a)
8
(b)
9
8
7
7
6
5
4
4
3
mS/cm
6
5
3
2
2
1
1
0
0
W.
Agala
W.
Feiran
W.
Zaghra
W.
Me'ir
W.
Agala
W.
W.
Feiran Zaghra
W.
Me'ir
Figure (26): Variations of the mean values of soil pH (a) and electrical
conductivity (mS/cm) (b) per wadi.
Bicarbonates (HCO3-)
7
9
12
meq/L
Sulphate (SO42-)
Chloride (Cl-)
14
10
8
6
7
5
6
8
4
5
6
3
4
3
4
2
2
2
1
1
0
0
W.
Agala
W.
W.
W.
Feiran Zaghra Me'ir
W.
Agala
W.
W.
W.
Feiran Zaghra Me'ir
0
W.
Agala
W.
Feiran
W.
Zaghra
W.
Me'ir
Figure (27): Variations of the mean values of water soluble anions in the
soil of the four studied wadis.
108
++
Histogram
Normal
Curve)
of+,Na;
K; ++Ca
Histogram (with
(with Normal
Curve)
of Na
K+, Ca
&&
MgMg
Normal
Frequency
Na
K
8
10.0
6
7.5
4
5.0
2
2.5
0
Na
Mean
1.903
StDev 2.138
N
20
K
Mean
StDev
N
0.0
0
1
2
3
4
Ca
5
6
7
8
0
2
4
6
Mg
8
10
12
8
6
4
4
2
2
0
0
0
1
2
3
4
5
6
0
1
2
3
4
5
6
7
8
9
6.0
(a)
5.0
Na+
K+
4.5
5.0
4.0
3.5
4.0
meq/L
Ca
Mean
1.914
StDev 1.706
N
20
Mg
Mean
2.300
StDev 2.044
N
20
8
6
2.866
2.595
20
3.0
3.0
2.5
2.0
2.0
1.5
1.0
1.0
0.5
0.0
0.0
Na+
5.0
4.5
Ca++
Mg++
4.0
4.0
3.5
meq/L
3.0
3.0
2.5
2.0
2.0
1.5
1.0
1.0
0.5
0.0
0.0
W. Agala
Ca++
W. Feiran
W. Zaghra
W. Me'ir
(b)
Figure (28): Variations of water soluble cations of the pooled studied
soil samples (a), and the mean values (±SE) per wadi (b).
109
Available P (ppm)
Soil salinity (ppm)
1200
(a)
(b)
1050
3.0
900
2.5
750
ppm
3.5
2.0
600
1.5
450
1.0
300
150
0.5
0
0.0
W. Agala
W. Feiran
Available W.
P Me'ir
W. Zaghra
Figure (29): Variations of the mean values (±SE) of soil salinity and
available phosphorus (ppm) in the four studied wadis.
0.05
Total Nitrogen (%)
Total Phosphorus (%)
TP
0.50
TN
0.45
0.04
0.40
0.35
0.03
%
0.30
0.25
0.02
0.20
0.15
0.01
0.10
0.05
0.00
0.00
W. Agala
W. Feiran
W. Zaghra
W. Me'ir
Figure (30): Variations of the mean values (±SE) of total phosphorus
(TP) and total nitrogen (TN) in the soil of the four studied
wadis.
110
V. Soil and relationship with tree age and size
The values of Pearson correlation between tree age and nature
of soil surface showed that there is a highly significant positive
linear relationship with fine fractions percentage and significant
negative relationship with bare rock. The values of correlation
coefficient between tree size (especially height, and crown cover
area) and soil properties showed a highly significant positive linear
relationship with stones percentage. Circumference/height ratio
showed significant positive linear relationship only with gravel
percentage (Table 20).
The Pearson correlation between tree age and soil parameters
showed that there is a highly significant positive linear relationship
with medium sand percentage, EC, Cl-, Na+, K+, Ca++, Mg++ in
addition to total nitrogen. Moreover, correlation between tree age
and soil parameters showed a significant negative relationship with
coarse sand percentage and pH (Table 20).
Based on the correlation between tree size (height and crown
cover area) and soil parameters, there is highly significant positive
linear relationship with HCO3-, Cl-, and Na+. Moreover, the tree
height showed significant positive linear relationship TN, while the
crown cover showed significant positive linear relationship EC,
SO42-, and Ca++ (Table 20).
111
Table (20): Pearson correlation between ages, size of M. peregrina
tree and soil characteristics
Soil parameters
(N.S.S)
Correlations
Age
Height
C.C
P
Fine Fractions
0.427
Gravel
0.163
Cobble
Crown cover
C.C
P
0.048
0.173
0.469
-0.311
-0.146
0.515
Stones
0.351
Boulders
Circumf./height
C.C
P
C.C
P
0.442
0.092
0.683
0.364
0.096
0.159
-0.285
0.199
0.509
0.015
0.066
0.772
-0.187
0.406
-0.180
0.423
0.109
0.560
0.007
0.546
0.009
-0.247
0.268
-0.172
0.445
-0.311
0.159
-0.059
0.795
0.150
0.504
Bare rock
-0.467
0.028
-0.364
0.096
-0.334
0.128
-0.196
0.391
Gravel
-0.227
0.286
-0.212
0.321
0.031
0.885
-0.261
0.219
Coarse sand
-0.356
0.088
-0.294
0.164
-0.079
0.715
-0.314
0.135
Medium Sand
0.353
0.091
0.344
0.100
0.169
0.431
0.096
0.656
Fine Sand
0.247
0.245
0.331
0.115
0.180
0.400
0.076
0.726
Silt + Clay
-0.040
0.853
-0.308
0.143
-0.325
0.121
0.452
0.027
Moisture
0.170
0.427
-0.052
0.809
-0.020
0.926
0.249
0.240
SOM
-0.176
0.410
-0.270
0.202
-0.214
0.315
-0.091
0.673
pH
-0.456
0.025
-0.272
0.198
-0.290
0.170
-0.308
0.144
EC
0.538
0.007
0.289
0.172
0.390
0.060
0.326
0.120
HCO3-
0.292
0.166
0.368
0.077
0.364
0.080
-0.062
0.774
Cl-
0.535
0.007
0.387
0.062
0.504
0.012
0.198
0.355
SO42-
0.576
0.003
0.274
0.195
0.411
0.046
0.326
0.120
Na+
0.563
0.004
0.370
0.075
0.482
0.017
0.259
0.221
+
0.446
0.029
0.103
0.632
0.114
0.595
0.494
0.014
Ca
0.536
0.007
0.320
0.127
0.531
0.008
0.260
0.220
Mg++
Available P
ppm
TP
0.323
0.124
0.205
0.337
0.225
0.290
0.124
0.565
0.378
0.069
0.150
0.484
0.050
0.817
0.351
0.093
-0.150
0.483
-0.224
0.293
-0.312
0.137
0.230
0.279
TN
0.391
0.059
0.440
0.031
0.203
0.342
0.112
0.601
K
++
112
VI. Associated species
The recorded associated species with M. peregrina trees in the
studied four wadis belong to fourteen families. The identification or
nomenclature of recorded species is done according to Boulos
(1995, 1999, 2000, and 2002) (Table 20).
Table (21): Alphabetical list of associated species with Moringa
peregrina populations in South Sinai.
Family
Species Name
Amaranthaceae
Asclepiadaceae
Aerva javanica ((Burm. F.) Juss. ex Schult.
Solenostemma arghel (Delile) Hayne
Calotropis procera (Ait.) Ait. f.
Capparis sinaica Veill.
Capparis spinosa L.
Anabasis articulata (Forssk.) Moq.
Haloxylon salicornicum (Moq.) Bunge ex Boiss.
Cleome droserifolia (Forssk.) Delile
Artemisia judaica L.
Iphiona scabra Dc.
Launaea spinosa (Forssk.) Sch. Bip ex Kuntze
Pulicaria arabica (Forssk.) Oliv.
Zilla spinosa (L.) Prantl subsp.spinosa
Citrullus colocynthis (L.) Schrad
Cucumis prophetarum L.
Chrozophora oblongifolia (Delile) Spring.
Otostegia fruticosa (Frossk.) Penz.
Teucrium polium L.
Acacia tortilis (Frossk.) Hayne
Retama raetam (Frossk.) Webb & Berthel.
Senna italica Mill.
Ochradenus baccatus Del.
Reseda sp. L.
Hyoscymus muticus L.
Fagonia mollis Delile
Peganum harmala L.
Capparaceae
Chenopodiaceae
Cleomaceae
Compositae
Cruciferae
Cucurbitaceae
Euphorbiaceae
Labiatae
Leguminosae
Resedaceae
Solanaceae
Zygophyllaceae
Life form
113
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Ann.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Per.
Ann.
Per.
Per.
Per.
VII. Discussion
The most obvious and universal characteristic of desert
vegetation is scarcity of plant growth and nearly lack of trees
(Moustafa, 2000a; Moustafa and Zaghloul, 1996). The unique
geomorphological formations of South Sinai led to wide variations
in its climate and vegetation than elsewhere. Meanwhile, this sparse
vegetation is subjected to depletion by continuous over-grazing,
over-cutting and uprooting for fuel and medicinal uses (Moustafa
and Klopatek, 1995; Moustafa, 2001). These severe impacts lead to
great environmental deterioration including; disappearance of
pastoral plant species, dominance of unpalatable (un-grazed)
species, the paucity of trees and shrubs, reduction of vegetation
cover and soil erosion (Kassas, 1955, Zahran and Willis, 1992,
Helmy et al., 1996). Therefore, more studies should be focus on the
regeneration of destructed vegetation; soil protection and how to
overcome the risks affect the establishment of South Sinai
vegetation in future (Abd El-Wahab, 1995).
There are many threats affecting the existence of Moringa
peregrina populations in South Sinai such as over-cutting for
different uses, for instance fuel-wood (Abd El-Wahab, 1995).
According to NAS (1980, 1983a, b and c) and Brewbaker et al.
(1984), most tree legume species are potentially suitable for fuelwood production, providing that the wood is not fire retardant and
these levels of sparks, smoke, odors and tastes are acceptable.
Moreover, the woody plants are very palatable (Owen and Cooper,
1987). In fact, over-cutting and over-grazing as well as unmanaged
114
human activities represent a great disturbance for natural vegetation
and threatening some rare species of extinction (Zaghloul, 1997).
The problem of over-grazing that it does not give some plant
species (e.g. M. peregrina) the chance to increase the productivity
or growth rate. In addition, it decreases the pre-reproductive and
reproductive age periods. This may lead to a decrease of birth rate
according to the grazing intensity (Moustafa, 2002).
In agreement with Abd El-Wahab (1995) and as confirmed by
Moustafa (2000a and b), over-grazing is a destructive factor in
regeneration of M. peregrina. It must be protected against overgrazing and over-cutting. In order to the conservation of M.
peregrina in South Sinai, the present work aimed to study the
population dynamic of M. peregrina tree through: (1) determining
the actual demographic status, (2) determining the size structures of
M. peregrina and reveal the relationship between the size and age
structures, in response to birth, aging and mortality rates, (3)
Providing a static life table for M. peregrina populations in South
Sinai, (4) investigating the distributional behavior of M. peregrina
populations in the study area and (5) evaluating the threats which
affect the establishment of M. peregrina in its natural habitat.
The threatened populations of M. peregrina tree in the studied
wadis of South Sinai may disappear if the mentioned threats are not
restricted. As confirmed by Molles and Manuel (2002), it is difficult
to keep track of everything going on as occurring in the
populations; the distributions may change, the numbers may
115
increase for some time and then fall precipitously. A new
population of a previously unrecorded species may suddenly appear
in an area, persist for a season or a decade, and then disappear. In
addition, individuals of different ages and sexes may make different
contributions to population dynamics and must be followed
separately. Population studies hold the key to solve practical
problems such as saving endangered species, and controlling the
others. Generally, the physical environment limits the geographic
distribution of species (Molles and Manuel, 2002).
Abd El-Wahab (1995) found that most of M. peregrina
populations grow in between rock crevices, also on cliffs and at the
base of hills with very rugged topography. The elevation of this
hills ranges between 700 to 800 m a.s.l. During the course of
present study, it was found that M. peregrina located at the highest
elevation (610–800 m a.s.l.) at W. Feiran in between rock crevices,
followed by the trees in Wadi Agala (625–764 m a.s.l.). Moreover,
the elevation of M. peregrina trees in W. Zaghra was ranged
between (560–642 m a.s.l.), while the elevation of M. peregrina
trees in W. Me'ir (565–736 m a.s.l.).
The most noticeable field observations were that (1) the
highest grazing intensity (subjectively) was recorded in W. Agala
and in W. Me'ir, especially number of camels were observed in W.
Agala and most of M. peregrina trees in W. Me'ir located at low
elevations or at wadi bed; (2) The majority of M. peregrina trees in
higher elevations are dry and non-productive. (3) The altitude and
116
the exposure aspect may affect the distribution of M. peregrina in
South Sinai. The majority of M. peregrina trees are located in
south-facing, due to the increase of temperature (Zaghloul, 1997).
Furthermore, almost all reproductive trees grow on south-facing,
while nonreproductive trees grow on north-facing, where most of
these trees survive without formation of flowers. This indicates the
importance of the light and temperature reflected by slope exposure
as a limiting factor for growth, flowering and fruiting of M.
peregrina trees. Young (1984) confirmed that the solar irradiation
increases the floral development rates. This explains the reason for
which exposure of the carrying-flowers tree is South-facing.
Many studies (e.g. Batanouny, 1979 and 1983; Schlesinger et
al. 1990; Beymer and Klopatek, 1991; Milchunas and Lauenroth,
1993 and Olsvig-Whittaker et al. 1993) showed the deterioration
effects of grazing on vegetation and soil of desert ecosystems. On the
other hand, few studies (Bailey and Danin, 1981; Heneidy, 1996;
Zaghloul, 1997; Moustafa, 2000 a & b) have been done in South Sinai
regarding the impact of over-grazing on the population dynamics.
Bedouins depend on animal husbandry as a resource of
income; therefore South Sinai is subjected to high grazing intensity
as showed by Heneidy and Halmy (2009). They reported that
Panicum turgidum in South Sinai subjected to a high grazing
pressure as it has high palatability, especially in summer when
annuals disappear and shortage in natural forage occurs. The same
117
situation was observed with M. peregrina tree as it is a good fodder
for Bedouins' camels.
Generally, tree fodder is richer in crude protein (CP), minerals
and digestible nutrients than grass fodder (El-Kady, 1987, Topps,
1992, Heneidy, 2000). It was observed that the camels prefer M.
peregrina pods and its green branches, especially pods and branches
are high palatable and without spines as in other wild trees (e.g.
Acacia sp.). The use of tree legume fodder as supplement has
improved intake, digestibility and animal performance (Norton,
1994) and this explains why the Bedouins depend on browse of M.
peregrina in animal husbandry.
Zahran and Willis (2009) stated that water resources and
human interferences are among the most important factors
controlling the plant life in the desert. On the other hand, browsing
in combination of drought has a negative effect on the growth rate
and productivity of M. peregrina in the studied wadis. This returns
to destroy of the tree crown. Bruna and Ribeiro (2005) reported that
canopy destroy strongly influences the diversity and dynamics of
both tropical and temperate forests. It is often viewed as inherently
beneficial for understory plants, primarily because growth and
flowering are enhanced when light is no longer a limiting resource.
It can also be detrimental as in case of M. peregrina trees; however
trees can be damaged by falling crowns or branches.
118
For more understanding the population dynamics of M.
peregrina trees, and consequently their sustained management,
information on their age and growth rates are required (Gourlay and
Grime, 1994). Age measurements are usually used to determine the
age-class distribution of a tree population, from which inferences on
the dynamics of that population can be drawn (Fritts and Swetnam,
1989). Therefore, the study of age structure and size distribution of
M. peregrina in South Sinai was very essential.
To organize the exploration of population dynamics, the
patterns of survival in populations or decrease in size should be in
considered, and the quantitative tools for perceiving such changes
are required (Molles and Manuel, 2002). Tree growth rings are
widely applied in ecological studies for determining tree ages,
investigating changes in growth rates and elucidating their causes
(Fritts and Swetnam, 1989).
The structure of a population of plants can be described in
terms of ages, sizes and forms of the individuals that compose it
(Harper, and White, 1974). Since the fecundity and survival of
plants is often much more closely related to size than to age, it
necessary to study the size distribution (Harper, 1977; Caswell,
1986; Weiner, 1985; Shaltout and Ayyad, 1988).
Some researchers (Werner and Caswell, 1977; Kirkpatrick,
1984; Caswell, 1986) argued that it is better to classify the life
history of plants by size rather than age which are the most widely
119
used in classification of organisms. Size differences may be return
to the differences in growth rates, age differences, genetic variation,
and heterogeneity of resources, nutrition, and competition (Weiner,
1985; Caswell, 1986).
Population dynamics of M. peregrina trees in the present
study is based on size and age structures. According to Emslie
(1991), it is necessary to study woody vegetation at a size class as
well as at a species level. Since age class data are unreliable for
savanna areas, (Lilly, 1977), analysis of population structure is
restricted to size classes, (Shackleton, 1993). Size classes are
considered to be better indicators of reproductive output than age
classes, (Werner and Caswell 1977; Knowles and Grant 1983).
On the other hand, the study of tree age dating is essential to
identify the age and/or the exact year of an event or formation of an
annual ring by application of cross dating which involves both ring
counting
and
ring-width
pattern
matching
(Fritts,
1976;
Schweingruber, 1988). In the meantime, the knowledge of age and
growth rates of trees is necessary for an understanding of tree
recruitment patterns and woodland management (Jacoby, 1989 and
Suarez et al., 2008).
Numerous studies (Mitchell, 1979; Siewniak and Kusche,
1994; Henry and Aarssen, 1999; Szczepanowska, 2001; Isik and Li,
2003; Weber and Mattheck, 2005) used many methods (Pressler
increment borer, Resistograph, increment cores, radiocarbon, tree
120
age tables, log volume tables, and age-dbh correlation) to determine
the tree age.
White (1998) presented a noninvasive method of age
determination, combining elements of tree age tables with
dendrochronological calculations. He related the size of trees to the
type of site in which the trees grow. The uses of tree ring
measurements to determine the tree age and in climatological
studies were well proven in temperate countries (Schweingruber,
1988). However, in comparison fewer conclusive studies exist for
tropical areas (Ogden, 1981). In the arid areas of the tropics, the
abrupt transition from wet to dry season produces new leaves
shortly after the onset of the rain, and fast-growing cambium
(Alvim, 1964 and Gourlay, 1995).
Studying the relationship between number of annual growth
rings and tree radius of M. peregrina tree is required to understand
its population dynamics as confirmed by Liang et al. (2001). Treering analysis including age structure proved to be a useful tool in
the study of stand dynamics and ecological history of trees
populations (Lorimer, 1985, Foster, 1988; Cherubini et al., 1996;
Abrams et al., 1998; Rozas, 2001; Liang et al., 2003). Quantitative
analysis of tree rings gives information on the frequency of
droughts and floods beyond the limited period of hydrological
records. Moreover, in most trees, the annual ring appears as narrow
bands of marginal parenchyma filled with long crystal chains. The
number of bands formed annually corresponded to the number of
121
peaks in the annual rainfall distribution. Ring widths were highly
correlated with total annual rainfall (Gourlay, 1995).
On the other hand, tree rings are the most geographically
widespread entity that can provide actual year-to-year dating of
current and prehistoric environmental changes (Jacoby and Wagner,
1993). Annual growth rings provide a fairly good method to
determine the exact age of trees, especially in temperate regions.
The tree rings have been shown to be a reliable means of estimating
tree age and growth rate (Ogden, 1981; Schweingruber, 1988).
Many researchers (Schweingruber, 1988; Abrams et al., 1995;
Kaennel and chweingruber, 1995) confirmed that the analysis of
annual rings can be used to study ecological aspects such as
population dynamics, disturbance effects and influence of present
atmospheric changes on growth.
In order to date any tree by means of dendrochronology, it is
essential to assume that one growth ring can be equated with one
year's growth. Angiosperms frequently produce anomalous growth
patterns and rings which are not necessarily annual. For example, a
stress period may occur during a growing season and cause more
than one growth layer to form within that year (Fritts and Swetnam,
1989). Alternatively, when conditions are extremely limiting,
growth cannot occur and no ring is produced (Steenkamp, 2000).
Certain regions of the cambium may not divide at all giving the
appearance of a missing ring (Fahn, 1974, Fritts, 1976; Lilly, 1977;
and Walker et al., 1986).
122
The problems associated with using stem diameter to predict
age were discussed by Ogden (1981); Norton and Ogden (1990),
Wyant and Reid (1992). During the course of present study, it was
found that in case of M. peregrina tree, one growth ring is an annual
event. Tree age distributions can be used in prediction of history of
the population, as confirmed by Kuuluvainen et al. (2002). Daniels
et al. (1995) showed that the relationship between age and diameter
can be derived from a regeneration equation for some samples, and
a general equation can be used to estimate all tree ages.
In the present study, sampling was based on dead and broken
branches of M. peregrina, while sampling that made by Daniels et
al. (1995) was restricted to the tree layer, since their study was
conducted on cutover areas. Stumps with a diameter ≥ 7.5 cm were
assumed to be part of the tree layer (Luttmerding et al., 1990). At
all stumps, they measured the diameter including the bark (cm) and
the uphill and downhill vertical distances (cm) from the upper
surface of the stump to the ground, to calculate mean stump height.
Thus the present study is in disagreement with them in the method
of estimation, and in agreement with them that the shape of age
distribution of trees is affected by number of factors like the
variation in site characteristics, soil variations, degree of impact,
and climate changes which control the regeneration of the tree.
Whitford (2002) during his estimation the ages of jarrah
(Eucalyptus marginata) and marri (Corymbia calophylla) trees
showed that growth rings can be counted on tree stumps. The cross123
sections were cut from a fallen tree, or from cores that removed
from the tree bole. But he confirmed that the core method is
technically difficult and does not work well on large trees (diameter
>40cm) as a core was very difficult to collect and extract the central
growth ring, moreover it damages the tree (Douglass, 1941a and b).
Age dating of M. peregrina tree in the present study was
based on tree ring analysis in cross sections of dry and broken
branches. Linear regression equation finds the relation between
growth rings count and trunk radius. During the course of this
study, it was found that M. peregrina rings are visible because
regular seasonal variations in the density of wood grown onto the
outer edge of the tree provide a visible banding of annual growth
rings. One of the well-known studies in the field of age dating was
developed by Douglass (1929) that defined and illustrated crossdating as an initial process in dendrochronology or tree-ring work
by which accurate ring chronologies may be built for dating
purposes (Nash, 1999), for climatic information (Fritts, 1976), or
for certain ecological problems (Douglass, 1940).
Another study which described the uses of the rings for
measuring the age of trees was developed by Yamaguchi (1986),
which focused on the method for cross-dating increment cores from
the living trees. It described the uses of the annual rings formation
for the measurement of the trees age, which is essential to identify
the exact age based on the formation of annual rings in increment
cores taken from living trees. Matching ring-width pattern occurred
124
in trees sampled over extensive area owing to year of the climatic
variation (Fritts 1976; Schweingruber, 1988). However, no studies
carried out on age dating and size structure of M. peregrina tree,
thus the present work is a pioneer step to focus on population
dynamics of this tree as an endangered species in South Sinai.
The obtained results of the linear regression showed a highly
significant relationship (P = 0.000, r2 = 0.27) between the tree
radius (excluding the bark) and the number of counted growth rings
which means that the growth rings can be taken as regular time
markers and could be used for dating the trees. Based on this
regression equation, the results suggest that M. peregrina tree in
Southern Sinai grows very slowly and its age ranges between 13
and 382 years at W. Zaghra with a mean of 69.5 ± 47 years (Table
22).
The obtained results indicate the dominance of mature
individuals of M. peregrina over the juvenile ones. This means that
there is no establishment for new individuals in the studied wadis
and then declining in population number when the old trees are not
replaced by young individuals. This returns definitely to stresses
which affect the existence of M. peregrina population. The main
stresses on M. peregrina are over-cutting, over-collection, overgrazing, aridity of the climate, discontinue of flowers formation,
and fail of juveniles to establish in its habitats. The later problem
needs further studies.
125
Table (22): Summary table of age and size structures of M. peregrina growing in South Sinai.
Ages
(year)
Tree height
Crown cover
area (m2)
Circumference
(CAG) (cm)
W.
Agala
W.
Feiran
Zaghra
W.
Me'ir
Min
20
15
13
25
Max
192
119
382
258
Mean
52
44
82
73
Min
1.7
1.7
1.0
1.5
Max
12.0
11.4
15.8
17.0
Mean
5.3
5.1
8.1
7.1
Min
0.6
0.3
0.6
0.6
Max
32.2
43.0
203.5
116.4
Mean
10.3
11.0
25.8
17.5
Min
25.0
19.0
16.0
32.0
Max
242.0
149.0
480.0
325.0
Mean
65.8
55.0
103.5
92.1
W.
Comments
W. Zaghra is a protected area, it is the lowest wadi subjected to anthropogenic
effects, and therefore it has the highest stability in population that led to aging of
trees and therefore the oldest tree is recorded in this wadi.
W. Me'ir and W. Zaghra are the lowest wadis subjected to overcutting and overgrazing give the old trees the chance to grow and increase the tree height.
As the highest browsing intensity is recorded in W. Agala, its trees are the
lowest in canopy area. Grazing in this case has a negative effect, where it
reduces the tree size and then declining its growth rate. Moreover, it decreases
or prevents the chance of flowers formation. On contrast in forests the grazing
has a positive effect that it improves or stimulates the growth when it decreases
the competition between the tree branches for light and water (Salmon et al.,
2007)
The majority of M. peregrina trees in W. Feiran located at high elevation with
small circumference as these trees are younger than Moringa trees in other
wadis.
127
The age structure of M. peregrina populations confirmed that
26.2 % of trees located in the class (41 – 60) years. At the same
time 72.8 % and 46.5 % of M. peregrina trees in the pooled
population are older than 40 and 60 years old respectively.
Moreover, 30 % of trees in the pooled population are older than 80
years old. At the same time, 2.2 % of M. peregrina trees are older
than 200 years old. High age estimations are rendered credible by
tree characteristics that are often associated with great longevity
such as its great ability to resprout and its investment in defensive
characters, hardwood impregnated with resins and crystals (Loehle,
1988; Bond, 2003).
Moreover, the age structure showed very unhealthy status of M.
peregrina populations in the studied wadis of South Sinai. It
suggests that if the current situation unchanged, the populations of
M. peregrina trees will not persist, that the older trees are not being
replaced by the young trees as the same circumstances for Acacia
trees (Acacia tortilis subsp. raddiana) in the same area (South
Sinai) as recommended by Zaghloul et al. (2008).
The obtained results showed that M. peregrina growing in the
studied wadis of South Sinai has a very low growth rate with an
annual increment of 1.76 mm. Age structure results showed
unhealthy shrinking populations of M. peregrina trees in Southern
Sinai with sharp decline in the last 20-40 years. The age-class
distribution shows that the regeneration of M. peregrina tree in the
area is severely limited. Although many of the individuals in
127
populations may be producing flowers and fruits, no seedlings have
been successfully established and establishment is interrupted for at
least the last 20-40 years. Unless conditions change, these
populations will permanently disappear.
On contrast, if the different age classes are represented in the
population with the largest numbers in the youngest ages, this
ensures a continuous and uninterrupted population dynamics
(Harper and White, 1974; Solbrig, 1980; and Parish and Antos,
2004). The results of the present study in agreement with Zaghloul
et al. (2008), especially they stated that establishment of Acacia
trees (Acacia tortilis subsp. raddiana) in South Sinai was
interrupted for at least the last 25-50 years.
The life table is a key summary tool for assessing and
comparing mortality conditions prevailing in populations (Chiang,
1984). According to Luke (1993), a life table typically consists of a
series of columns presenting age-specific information on various
aspects of mortality. Static life table of M. peregrina shows a cohort
in life span as it reveals the survival and age-specific mortality rate
at the time of census.
According to (Wilgon, 1990), birth and death rates provide
basic information about populations. When these rates are specific
to age and environment, they encapsulate much of the dynamics of
a population and help reveal the mechanisms controlling population
size. Unfortunately, most methods for estimating demographic
128
parameters, including cohort and current life table analysis, are
inadequate for studying the long-lived tree species.
Pielou (1977) showed that static life tables are constructed
from short-term observations of the births and deaths of an entire,
multi-aged population. Age classes of M. peregrina life table are
located in 20 intervals (≤ 20 and ≥ 381 years). On the other hand,
constructing cohort life tables requires following individuals born
within the same time interval throughout each of their lifetimes, and
it is difficult not only for M. peregrina tree but also for all trees.
Thus, only short-lived organisms are suitable for study as cohorts
(e.g. Leverich and Levin, 1979; Mack and P1ke, 1983 and
Silvertown, 1985).
The results of static life table of M. peregrina in the studied
wadis of South Sinai revealed that ≥ 180 years old trees in W.
Agala, ≥ 100 years old in W. Feiran, ≥ 260 years old in W. Zaghra,
and ≥ 240 years old in W. Me'ir have a 100% chance of death (qx =
1.00). In agreement with Crawely (1997), species conservation
should begin when a species is found to be declining in numbers but
is not yet threatened with extinction. Sometimes, if the decline is
very rapid and a species is well known, concern for its survival is
felt before it is endangered.
Based on the obtained results, M. peregrina populations are
dominated by adult individuals and the seedling recruitment is
extremely limited. However, survival and fecundity are the basic
components of demography and therefore have a strong influence
129
on population dynamics (Maria et al., 2008). The survivorship
curve of M. peregrina populations in the studied wadis of South
Sinai represents type III of survivorship curves, due to the high rate
of mortality among the young and the old trees.
Gignoux et al. (2001) reported that the best measure of tree
size is probably basal circumference for adult trees, especially if the
trunks are rarely straight and branch at a low height as in case of M.
peregrina tree. The present study estimated the tree diameter and
hence radius based on circumference measurements as made by
Franklin and DeBell, (1988) and by Agren and Zackrisson (1990),
Franklin et al. (1988) and Gignoux et al. (2001), but Daniel (1994)
and Daniel et al. (1995) calculated DBH (Diameter at breast height)
from mean stump height and diameter measurements using
conversation table as revealed by (Demaerchalk and Omule 1978).
According to Fritts (1974), Kirkpatrick (1984) and Franklin et al.
(1988), the tree diameter is the most accurate method to estimate the
tree age, and analysis of tree-ring can be used to predict the changes
in the population of old growth trees.
Plant
size
determines
the
potential
investment
into
reproductive structures (Colas et al., 2001). Moreover, size structure
in some plants can be used as indicator for age (Kirkpatrick, 1984;
Agren and Zackrisson, 1990; O'brien et al., 1995; Niklas, 1997;
Sano, 1997; Stoneman et al., 1997; Suarez et al., 2008). Although
Grice et al. (1994) concluded that size is not a good indicator of age
and that it is unreliable to identify cohorts of the tree by examining
130
size-class frequency distribution, they achieved estimate of the tree
age by using age-size regressions with known-age trees and changes
in tree sizes determined from aerial photographs (Sinclair, 1995).
The size structure in the present study was based on tree height,
crown cover area and trunk circumference.
The obtained results of size structure showed that the mean
height is 6.9 m (± 3.5), crown cover area is 17.7 m2 (± 20.2),
circumference at ground level (CAG) is 87.5 cm (± 59.2) and
circumference/height ratio is 0.13 (±0.07). W. Zaghra has the lowest
tree height (1 m) and W. Me'ir has the highest tree height (17 m).
W. Feiran has the lowest crown cover area (0.3 m2), while W.
Zaghra has the highest crown cover (203.5 m2). Moreover, W.
Zaghra has the minimum trunk circumference (16 cm) and at the
same time, it has the highest trunk circumference value (480 cm).
Moreover, the obtained results confirm the dominance of large
individuals over the smaller ones. This may be return to the
decrease of establishment rate (Abd El-Wahab, 1995); even small
trees are completely consumed by the animals in the area.
Therefore, it should be ring the sounded alarm that the studied
populations of M. peregrina are in declining status.
ANOVA (one-way) results showed that there are highly
significant variations (P ≤ 0.000) in the measured tree size
(especially height, crown cover area, and trunk circumference)
between the four studied wadis which may reflect different
environmental factors and/or levels of human stress. Tukey test
131
could only discriminate between trees at W. Agala and wadis
(Feiran, Zaghra, and Me'ir), and between trees at W. Feiran and
trees at both (W. Zaghra and W. Me'ir). It couldn't discriminate
between trees at W. Zaghra on one side and W. Me'ir on the other.
The comparison between the size structures of the four wadis
showed that 90 % of M. peregrina trees in W. Agala, 72.3 % in W.
Feiran, 91.5 % in W. Zaghra, and 87.2 % W. Me'ir are more than 3
m height. Moreover, 32.5 % of M. peregrina trees in W. Agala,
29.8 % in W. Feiran, 17.1 % in W. Zaghra, and 52.3 % in W. Me'ir
are more than 6 m height. On the other hand, 2.5 % of M. peregrina
trees in W. Agala, 12.8 % in W. Feiran, 7.3 % in W. Zaghra, and
24.7 % W. Me'ir are more than 9 m height. Only 2 trees in W.
Zaghra (2.4 %) and 8 trees in W. Me'ir (3.4 %) are more than 15 m
height. Therefore, the height of M. peregrina trees in the pooled
population showed that 86.6 % are more than 3 m height and 53.5
% are more 6 m height. Furthermore, 22 % of population is more
than 9 m height, and 9.7 % is more than 12 m height, and only 2.5
% of M. peregrina population is more than 15 m height.
The results of crown cover area of M. peregrina showed that
10 % in W. Agala, 21.3 % in W. Feiran, 53.7 % in W. Zaghra, and
29.4 % W. Me'ir are more than 20 m2. There is no tree in W. Agala
more than 40 m2, while 4.3 % of trees in W. Feiran, 15.9 % in W.
Zaghra, and 8.1 % W. Me'ir are more than 40 m2. This means that
there are no small sizes of M. peregrina trees in the studied wadis
132
where there is only one tree in W. Zaghra more than 200 m2 in
crown cover area.
According to Whitford (2002), a common mistake made in
estimating the age of trees was using the average growth rate.
Stoneman et al. (1997) discussed this problem confirming that the
largest trees on a site are typically the fastest growing trees (Nock et
al. (2009). On the other hand, Ahmed et al. (2009) reported that
growth rate and age of trees are frequently used in silviculture,
forestry, ecology and population dynamics studies. They study the
relationship between the ages and sizes of different mature stands of
thirty-nine gymnosperms based on simple ring count and DBH
measurements. They showed that the largest tree is not necessarily
the oldest tree. The highest overall growth rate (2.65 ± 0.19 y/cm)
was recorded in Cedrus deodara from south-facing slopes while the
lowest growth was observed in Taxus wallichiana from east-facing
slope. Except in Pinus roxburghii, DBH and age showed
nonsignificant relation. However in the present study, the Pearson
correlation coefficient showed that there is a highly significant
positive linear relationship between tree size and estimated age of
M. peregrina tree. The correlation and linear regression analysis
revealed that the size (especially height and circumference/height
ratio) can be used to expect the age class of M. peregrina tree. A
similar finding has been arrived by Ferguson (1951) and O'brien et
al. (1995).
133
O'brien et al. (1995) measured the diameter, height, crown
shape, and crown area of 23-42 trees, ranging in size from saplings
to large adults for each of eight common dicotyledonous tree
species in a Neotropical forest in Barro Colorado Island, Panama.
But the crown shapes in their study were measured by the
coefficients of variation of the eight crown radii, and age-diameter
relationships were estimated from diameter growth increments over
an eight years period. They predicted that canopy mass to trunk
mass ratio should remain constant during tree growth. They
concluded that one can use the age-size relationships in the studied
canopy species.
Correlation coefficient (CC) between height and tree age in
the present study is 0.58 and age of M. peregrina tree can be
estimated from the regression equation [Age (year) = 9.66 height
(m)]. However, correlation coefficient (CC) between crown cover
area (m2) and age is 0.53 and Age (year) = 2.41 crown cover (m2).
On the other hand, the relationship between the circumference
(m)/height (m) ratio and estimated tree age is significant and
correlation coefficient (CC) is 0.58. The obtained regression
equation was [Age (year) = 494 Circumference/height]. Based on
these results and in agreement with Lieberman et al. (1985), agesize relationship can be used to expect the age or size of M.
peregrina tree.
The present study was focused on studying the relationship
between age and size distributions with the soil characteristics.
134
Several studies have described in details, the chemical and physical
composition of the soil supporting the plant species growing in
South Sinai (Danin, 1978a and 1983; Moustafa, 1986 and 1990;
Moustafa and Zaghloul, 1993 and 1996; Zaghloul, 1997; Abd ElWahab, 2003). These studies showed that soils of South Sinai, as
desert soils, are characterized by spatial heterogeneity, where soil
properties vary quite small distances.
Based on the results of nature of soil surface, W. Me'ir has the
highest mean value of fine fractions (8.57 % ± 3.78). Moreover, the
soil surface of W. Agala and W. Zaghra has the highest mean value
of rocky fragments (stones = 43 % ± 7.58 in W. Zaghra, and
boulders = 38.3 % ± 22.55 in W. Agala). W. Agala and W. Feiran
characterized by sandy soils. It was sandy loamy to sandy in W.
Zaghra and in W. Me'ir.
ANOVA showed that the variation between the four studied
wadis in stones, boulders, coarse sand, fine sand and silt + clay is
statistically highly significant (P ≤ 0.000). The soil of the studied
four wadis showed non-significant variation in the rest of physical
characters. Moreover, the differences between the studied wadis in
water soluble anions and cations (except K+ and Mg++) are highly
significant.
The results of one-way ANOVA showed that the variation in
stones, boulders, and silt + clay between the four studied wadis is
statistically significant (P ≤ 0.05). While, coarse and fine sand are
135
statistically highly significant (P ≤ 0.000). The rest of physical
characters (fine fraction, gravel, bare rock, medium sand, moisture
and organic matter) showed non-significant variation between them.
This result refers to that all studied wadis may be subjected to the
same conditions. The differences in water soluble anions and
cations (except K+ and Mg++) are highly significant between the
studied wadis and this may be return to variation in analyzed debris
content per each wadis, as well as the composition of its parent
rocks.
The actual moisture content of the soil fluctuates depending
upon the composition of the soil, topographic location, and climatic
variation. Moisture in the form of rainfall is the most decisive factor
controlling productivity, plant distribution and life form in arid
lands (Zohary, 1973). Slopes and gorges are covered by large
outcrops of smooth-faced rocks that maximize the availability of
every shower to plant growing among rocks and concentrate run-off
water in crevices and soil pockets (Danin, 1972). Generally, all M.
peregrina trees in South Sinai suffer from extreme drought due to
high temperature and no rainfall.
Based on the analysis results of the collected samples of soil
collected from the four studied wadis, W. Agala has the highest
mean value of moisture content (1.21 ± 1.03 %). This may be return
to the increase of vegetation in this wadi such as Acacia trees which
act as a pump of underground water and increase the soil humidity,
moreover, Bedouins activities in raising the underground water for
136
cultivations. The lowest moisture content was recorded in the soil of
W. Me'ir as an open wadi. According to Moustafa and Zaghloul
(1993) and Moustafa and Zayed (1996), soil moisture availability
which is a function of slope degree, nature of soil surface and soil
texture is the most limiting factor in the distribution of plant
communities in general and M. peregrina in particular at gorge and
fan habitats in South Sinai.
The effect of nature of soil surface on moisture availability is
related to its capacity of water storage. This depends not only on the
volume of water resources, but also on depth of surface deposits;
the shallow deposits are the lowest capacity of moisture storage
(Abd El-Wahab, 2003). Available moisture also increases with
increasing of the coarseness of surface such as cover of cobbles
conserves more moisture than the cover of gravels, (Hillel and
Tadmor, 1962). It is well-known that the presence of surface gravel
serves not only to protect the underlying soil from water and wind
erosion but reduces moisture losses. The gravel slow down water
movement across the surface, which results in more water
penetrating the soil, and also reduce the amount of soil surface
exposed to evaporation (El-Ghareeb and Shabana, 1990).
Soil organic matter influences many soil properties, including
the capacity of soil to supply N, P, and S and trace metals to plant;
inflation and infiltration and retention of water; degree of
aggregation and overall structure that affect air and water
relationships; cation exchange capacity; and soil color, which in
turn affects temperature relationships (Nelson and Sommers, 1996).
137
W. Agala showed the highest mean value of moisture content and
soil organic matter (2.77 ± 0.65). This may be return to increase the
grazing intensity. The effect of grazing, wild and domestic, is
among important factors of the desert habitats, ranking perhaps
second to the water factor (Kassas, 1953). Abd El-Wahab (2003)
recognized a positive correlation relationship between grazing
intensity and number of soil properties including silt and clay,
SOM, TN, available P, Fe, Mn, Cu, Zn, and cation exchange
capacity.
The soil of the four studied wadis is slightly alkaline; it
ranged between 6.18 and 8.24 within the studied samples. However,
slight decrease in pH values is observed in soil of W. Me'ir. The
highest mean value of pH (8 ± 0.21) was recorded in W. Agala.
Electrical conductivity (EC) is a numerical expression of the ability
of an aqueous solution to carry an electric current. It is generally
related to the total solute concentration and can be used a
quantitative expression of dissolved salt concentration (Rhoades,
1996). Measurement of electrical conductivity is the most widely
used soil salinity test (Rhoades and Miyamoto 1990; Shirokova et
al., 2000).
When EC measured at the same time as pH, measurement of
conductivity is a good indicator of soil quality (Smith and Doran
1996). The highest mean value of electrical conductivity (7.63 ±
2.89 mS.cm-1), and hence salinity (976.4 ± 370.2 ppm) and total
soluble salts (0.49 %) was recorded in W. Zaghra. Salinity and
138
drought are two environmental constraints that often occur
simultaneously in arid regions (Lichtenthaler, 1996). The increase
of salinity in the studied soil samples was due to the increase of K+
content in soil. The increase of K+ may return to the hydrolysis of
the parent rock around the root of M. peregrina and decay its pods
and leaves in the soil especially the leaves are rich in potassium
content. Based on this result, salinity has a negative effect on
growth of M. peregrina in the studied wadis.
On the other hand, Bresler et al. (1982) showed that salinity
problems are most pronounced in arid and semi-arid regions
because of insufficient annual rainfall to flush accumulated salts
from the crop root zone. The most sources of salts in arid and semiarid regions are rainfall, mineral weathering, salts and various
surface waters and groundwaters which redistribute accumulated
salts, often as a result of Bedouins' activities. And according to
Garcia et al. (1993), the high stress caused by a combination of high
salinity levels and high air temperature resulted in hyper-arid
conditions, act as an ecological filter that resulted in reduced
species richness in these habitats.
Inorganic carbon in soil is usually present as carbonates of
calcium or magnesium. The carbonate minerals exert a dominating
influence on soil because of their relatively high solubility and
alkalinity and buffering properties (Sparks et al., 1996). The highest
mean value of soil bicarbonate HCO3- (11.1 ± 5.47 meq/L) was
recorded in soil of W. Zaghra as it showed lowest pH (7.13 ± 0.12).
The obtained results showed that the behavior of chloride (Cl-) is
139
similar to sulphate (SO42-). However, the soil of W. Zaghra showed
the highest mean value of chloride content (6.8 ± 3.57 meq/L), it
has also the highest sulphate content (5.7 ± 1.78 meq/L).
The most common soil minerals of sodium (Na+) and
potassium (K+) are albite (NaAlSi3O8), orthoclase (KAlSi3O8), other
feldspars and micas. Soil K exists in four forms in soils: solution,
exchangeable, fixed, and structural or mineral. The structural form
of K+ represents 89 % of the total K in soil. Only 1-2 % of the total
soil potassium is readily available, exchangeable, and soil solution
forms. Meanwhile, potassium is a macronutrient for plants; sodium
is not essential element for plants. The content of soluble and
exchange sodium is important parameters in the management of
saline and sodic soil (Helmke and Sparks, 1996).
Calcium (Ca++) and magnesium (Mg++) are abundant elements
in soil and also are among the essential elements for plant growth
(Suarez, 1996). Calcium (Ca2+) is essential for membrane
permeability, solute transport and maintenance of cell integrity.
Magnesium is required for many cellular functions including
production of chlorophyll, protein synthesis, regulation of cellular
pH and cation-anion balance (Marschner, 1986). Based on the
results of the present study, W. Zaghra showed the highest mean
values of water soluble cations Na+ (4.16 ± 2.54), K+ (3.46 ± 1.96),
Ca++ (3.86 ± 1.23) and Mg++ (3.35 ± 1.23).
140
The availability of soil phosphorus to plants varies greatly
depending on the reaction, mineralogical composition, type of
colloids present, and content of organic matter of the soil (Wilde et
al., 1972; Allen, 1972 and Baruah and Barthakur, 1997).
Phosphorus is a major element in soil organic matter. In natural
terrestrial ecosystems, it is derived from the weathering of minerals
in parent rock material. It is the second most limiting nutrient for
terrestrial primary production (after nitrogen) (Robertson et al.,
1999). Sandy soils are generally poor in P, having 300-500mg kg-1
total P and 3-5mg kg-1 P extracted by the NaHCO3 method. In the
alluvial soils these values are about 1000 and 12-15mg k
respectively (Balba, 1995).
Most of the phosphorus compounds found in soils are
unavailable for plant uptake, often because they are highly insoluble
(Brady and Weil, 1996). According to Balba (1995), sandy soils
contain low organic fraction as little as 0.008 - 0.015%, therefore
their total nitrogen content is also low (0.0015 – 0.002%). Based on
the result of soil analysis; W. Zaghra showed the highest mean
value of available phosphorus (2.58 ± 0.69 ppm) and total nitrogen
(0.29 ± 0.13 %). Moreover, the soil of W. Feiran showed the
highest mean value (0.037 %) in TP percentage. In agreement with
Heneidy and Halmy (2009), the soil texture of the studied wadis in
South Sinai is loamy sand to sandy. Moreover, some soil parameters
(sand, silt, clay, pH, K+, HCO3- and P content) of the present study
are shared with their study as high values.
141
Pearson correlation between tree age and nature of soil
surface showed that there is a highly significant positive linear
relationship with fine fractions percentage and significant negative
relationship with bare rock. The correlation between tree size
(especially height, and crown cover area) and soil prosperities
showed a highly significant positive linear relationship with stones
percentage. Circumference/height ratio showed significant positive
linear relationship only with gravel percentage. Therefore, it seems
that the variations in age and size distribution between wadis are
most probably affected by anthropogenic effects (e.g. over-cutting,
grazing) which are somewhat more disturbing in W. Feiran and W.
Agala than in W. Me'ir and than in W. Zaghra.
In fact, human impact has a negative effect on distribution of
M. peregrina species. Many rare species are threatened by habitat
fragmentation;
however,
less
is
known
about
effects
of
fragmentation on common species, despite their potential role in
ecosystem productivity and functioning. Due to habitat destruction,
increasing urbanization, and intensive agricultural practices (as in
W. Agala), many widely distributed plant species occur in highly
fragmented (semi-) natural habitats, surrounded by human-altered
environments (Fabinne & Triest, 2006). Due to the very limited
seedling recruitment of M. peregrina in the studied wadis of South
Sinai, conservation efforts should be directed mainly to the
established individuals. Efforts should be made to minimize the
uncontrolled exploitation of the species by local people. In situ and
142
ex-situ conservation of M. peregrina populations are strongly
recommended.
Integrated
conservation
planning
using
autecology,
demography, and genetic diversity data provides the greatest chance
of assuring the long-term survival of rare and endangered species
(Rebecca et al., 1999). On the other hand, understanding the
processes determining the commonness or rarity of plant species
can provide information necessary for effective conservation of rare
species (Münzbergova, 2005).
The fitness characters and heterogeneity of M. peregrina tree
are in need to more studies to evaluate the genetic diversity between
the studied populations and to overcome the threats affect its
existence. According to Holt (1984) in agreement with Hamilton
and May (1977), Comins et al. (1980), Motro (1982), and Hastings
(1983), each species of organism has a characteristic pattern of
variation in abundance over space. As M. peregrina tree has low
establishment (Abd El-Wahab, 1995) and subjected to different
threats (grazing, cutting, drought, etc), its distribution in the studied
wadis of South Sinai is limited. Understanding the factors
responsible for the manifest diversity in distributional patterns is a
classic goal of ecology (Elton, 1927; Andrewartha and Birch, 1984;
Krebs, 1978; Brown and Gibson, 1983).
A growing body of evidence suggests that dispersal is
important in setting the mean abundances and patterns of
143
fluctuations of many natural populations (Connor et. al., 1983;
Gaines and McClenaghan, 1980). These empirical findings have
stimulated much theoretical work on the effects of dispersal and
spatial heterogeneity in population dynamics (Levin, 1976; Okubo,
1980; Hastings, 1982; Kareiva, 1982; Vance, 1984). Dispersal is
also widely recognized to be important in the evolution of species,
both directly as a component in life history strategies (Horn and
Rubenstein, 1984), and indirectly as a determinant of geographical
distributions, patterns of gene flow, and effective population sizes,
(Endler, 1977).
According to Teague and Danckwerts (1989), management of
an area to a large extent depends on condition of the vegetation.
Constant monitoring and studying of vegetation of an area is thus of
the most importance in order to provide the information on changes
in condition of the area. Based on the obtained result in the present
work, the distribution of M. peregrina in studied wadis indicated the
dominance of mature individuals over the juvenile ones. This
distribution characterizes declining populations; because the
population has a large proportion of larger individuals than smaller
ones. Moreover, M. peregrina must be evaluated seasonally rather
than annually.
Zaghloul (1997) reported that the measurements for protecting
and managing of the endemic species in South Sinai should be
preceded by intensive and extensive or long-term (autecological)
studies. Moreover, over-grazing, over-cutting and all Bedouins
144
activities in South Sinai should be managed. Zaghloul (1997) also
recommended that restoration of the endangered species by soil
seed bank and transplanting should be studied. Based on the
obtained results in the present study, M. peregrina populations in
the South Sinai are declining and their survival cannot be ensured
without conservation measures. Therefore conservation efforts
should be directed mainly to the recognized individuals.
In agreement with Zaghloul (1997), over-collection coupled
with grazing pushed many species of plants to extinction. In the last
twenty years unmanaged human activities have threatened and rare
species with extinction, resulted in disappearance of pastoral plant
species, and have caused an increased dominance of unpalatable
plant species, in lower wadis and around settlements. In addition to
over-collection has a dangerous impact on M. peregrina populations
as it is used by Bedouins for medicinal purposes that may lead to
extinction.
Zaghloul (2003) confirmed that the key to learning the status
of a rare species of special concern is to census the species in the
field and monitors its populations over time. By repeating censusing
a population on a regular basis, changes in the population over time
can be determined (Simberloff, 1988; Primack and Hall, 1992;
Schemske et al., 1994; and Primack, 1998). Long-term census
records can help to distinguish long-term population trends of
increase or decrease, possibly caused by human disturbance, from
short-term fluctuation caused by variations in weather or
145
unpredictable natural events (Pechmann et al., 1991; and Primack
and Miao, 1992).
On the other hand, Zaghloul (2003) recommended where,
habitats are in immediate danger of destruction, the collection from
the wild of plant material (e.g. seeds, clonal fragments) and its
maintenance in botanical gardens become necessary. Here the input
from genetic becomes even more important both at the sampling
stage and where attempts are made at controlled breeding (Brown
and Briggs, 1991).
Anonymous (1987) stated that environmental stress has often
seen as the result of growing demand on scarce resources.
Accordingly, conservation and sustainable development of natural
resources should ideally be directed towards a common goal: the
rational use of the earth's resources to achieve the highest quality of
living for mankind (Zahran and Willis, 2009)
Conclusion:
In a conclusion, the obtained results showed a highly
significant relationship between the tree radius and the number of
counted growth rings and it can be used as regular time markers for
dating M. peregrina trees. Age of M. peregrina is located inbetween 13 and 382 years old with a mean of 69.5 ± 47 years.
Moreover, the number of trees under 20 years old was only 11
individuals in all population. This means that during the last 20
years, no new population appeared.
146
Both (W. Feiran and W. Agala) are the most wadis subjected
to threats that affect the existence of M. peregrina tree, followed by
W. Me’ir then W. Zaghra. The results showed that the growth rate
of M. peregrina in the studied wadis is very low with an annual
increment 1.76mm in radius. On the other hand, age structure
results showed unhealthy shrinking populations of M. peregrina
trees in Southern Sinai with sharp decline in the last twenty years. If
the current situation unchanged, the populations of M. peregrina
trees will not persist, that the older trees are not being replaced by
young trees, and then all populations will permanently disappear.
There is highly significant positive linear relationship between
tree size and estimated age of M. peregrina. This means that size
can be used to expect the age, although there are no significant
differences between the four studied wadis in soil characteristics.
Thus variations in age and size distribution between wadis are most
probably affected by anthropogenic effects (e.g. over-cutting,
damage, grazing) which are somewhat more disturbing in W. Feiran
and W. Agala than in W. Me'ir and than in W. Zaghra. This study
suggests that the current unmanaged anthropogenic practices
compose a drastically stress on M. peregrina tree in South Sinai.
Unless the Bedouins activities been managed, the ultimate fate of
the current populations is extinction.
As the current study depended on static sampling, more
accurate modeling of the populations' structure would require data
for growth and mortality over a long time period especially during
147
the climatic stresses that probably have a major influence on
population structure for a number of years. Also, population
viability analysis (PVA) is urgently needed to identify the factors
(natural and human-made) that are important in dynamics of M.
peregrina populations and management options precisely. The
recommended PVA will help in building up a model by combining
the existing information into predictions about the persistence of
species under different assumptions of environmental conditions
and under different conservation and management options.
Recommendations
Based on the previous results and looking for the future of the
M. peregrina populations in the studied area, one can suggest the
following points:
(1) Formulating the conservation plans in-situ and ex-situ to save
the present populations of M. peregrina trees in Southern Sinai
(starting with the most exploited trees in W. Feiran and the
lowest stress-facing ones in W. Zaghra).
(2) Supporting the idea of fencing which play an important role in
decreasing of the threatening intensity and increasing of the
productivity of M. peregrina populations. The necessity to
construct the enclosures around M. peregrina trees especially in
W. Feiran as the most exploited trees and in W. Zaghra as the
best ones.
148
(3) It is necessary to manage the Bedouins behaviors against their
activities of over-cutting and over-grazing, and increase their
awareness in time and rate of plants collection. Moreover,
encourage Bedouins to develop means of increasing revenue
generation of M. peregrina in South Sinai; such as cultivation of
this important plant in its habitats and in botanical gardens.
(4) Thus, care efforts should be directed to M. peregrina trees in
South Sinai during establishment and growth periods to avoid its
extinction.
(5) Genetic diversity and heterozygosity of M. peregrina
populations in Southern Sinai are in need to more studies.
149
VIII. Summary
As Moringa peregrina is one of medicinal, economically and
valuable tree, it is the most endangered species due to over-cutting,
over-grazing, and extremes of drought. It was necessary to study its
population dynamic to conserve it. The unmanaged utilization of
this valuable tree is very short-sighted leading to high mortality,
low recruitment, and poor survival of seedling. Therefore the
present work aimed to estimate the age structures and its relation
with size structures of M. peregrina populations, along with the
spatial and temporal changes in them in response to birth, aging and
mortality rate. A total 404 of M. peregrina trees were surveyed at
41 sites in four wadis of South Sinai; W. Agala (40 trees), W.
Feiran (47 trees), W. Zaghra (82 trees) and W. Me'ir (235 trees).
In each site some parameters were determined such as
elevation, soil texture, soil analyses for some soil samples around
the trees. Ninety-three cross sections represent the four wadis were
collected. 8 diameters per sample were measured to determine the
radius. The bark thickness also measured, and linear regression
between radius and bark was carried out to avoid the error in growth
rings-radius relationship. The linear regression between radius
(excluding the bark) and no. of growth annual rings in these cross
sections was used to estimate the age structure.
The estimated ages were used to determine the age
distribution and construct a static life table. The age distribution of
the studied populations was a predictive tool to determine if the M.
150
peregrina populations in Southern Sinai are healthy or not. The age
structure of populations which consisting of multiple cohorts was
used to estimate the survival patterns of the various age groups in
the static life table. Size structures (height, crown cover area and
trunk
circumference)
were
determined
during
the
field
measurements which involved the tree height (m), crown cover
(m2), trunk circumferences (cm). Circumference/height ratio was
calculated to find out the relation of size with age distribution.
The results of the linear regression showed a highly
significant relationship (P = 0.000, r2 = 0.27) between the tree
radius (excluding the bark) and number of growth rings.
This
means that the growth rings can be taken as regular time markers
and could be used for dating of M. peregrina trees. Moreover, M.
peregrina tree in Southern Sinai grows very slowly and its age
ranges between 13 and 382 years at W. Zaghra with a mean of 69.5
± 47 years. 26.2 % of trees located in the class [41 - 60] years. At
the same time, 72.8 % and 46.5 % of M. peregrina trees in the
pooled population are older than 40 and 60 years old respectively.
Moreover, 30 % of trees in the pooled population are older than 80
years old. In addition, 2.2 % of M. peregrina trees are older than
200 years old. The age structure reveals very unhealthy status of M.
peregrina populations and suggests that if the current situation
unchanged, the populations of M. peregrina trees will not persist,
that the older trees are not being replaced by young trees, and
without change of these conditions, all populations will
permanently disappear.
151
The result of static life table of M. peregrina in South Sinai
revealed that ≥ 180 years old trees in W. Agala, ≥ 100 years old in
W. Feiran, ≥ 260 years old in W. Zaghra, and ≥ 240 years old in W.
Me'ir have a 100% chance of death (qx = 1.00). The survivorship
curve of M. peregrina populations in South Sinai represents type III
of survivorship curves due to the high rate of mortality among the
young and the old trees.
ANOVA (one-way) results revealed that there are highly
significant variations (P = 0.000) in the measured tree size (height,
crown cover, and trunk circumference) between the four studied
wadis which may reflect different environmental factors and/or
levels of human stress. The Pearson correlation revealed that the
size (especially height and circumference/height ratio) can be used
to expect the age class of M. peregrina tree.
ANOVA showed that the variation in stones, boulders, coarse
sand, fine sand and silt + clay between the four studied wadis is
statistically significant. On the other hand, there is no significant
variation between the studied wadis in rest of physical characters.
The differences in water soluble anions and cations (except K+ and
Mg++) are highly significant between the studied wadis.
Pearson correlation between tree age and nature of soil
surface showed that there is a highly significant positive linear
relationship with fine fractions percentage and significant negative
relationship with bare rock. The correlation between tree size
(especially height, and crown cover) and soil prosperities showed a
152
highly
significant
positive
linear
relationship
with
stones
percentage. Circumference/height ratio showed significant positive
linear relationship only with gravel percentage. Therefore, it seems
that the variations in age and size distribution between wadis are
most probably affected by anthropogenic effects (e.g. over-cutting,
grazing) which are somewhat more disturbing in W. Feiran and W.
Agala than in W. Me'ir and than in W. Zaghra.
In a conclusion, this study suggests that the current
unmanaged anthropogenic practices compose a drastically stress on
M. peregrina tree in South Sinai. Unless these activities been
managed, the ultimate fate of the current populations is extinction.
As the current study depended on static sampling, more accurate
modeling of the populations' structure would require data for
growth and mortality over a long time period especially during the
climatic extremes that probably have a major influence on
population structure for a number of years. In addition, population
viability analysis (PVA) is urgently needed to identify the factors
(natural and human-made) that are important in dynamics of M.
peregrina populations and management options precisely.
The present study recommend to put in consider the
conservation strategies (in-situ and ex-situ) to save the present
populations of M. peregrina trees in Southern Sinai (starting with
the most exploited trees in W. Feiran and the lowest stress-facing
ones in W. Zaghra). Finally, Care efforts should be directed to M.
peregrina trees in South Sinai during establishment and growth
periods to avoid its extinction.
153
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X. Appendices
Appendix I.
Morphology of Moringa peregrina
Figure (31): photos of Moringa peregrina tree growing in South
Sinai.
192
Appendix II.
Threats affect Moringa existence
(a)
(b)
(c)
(d)
(e)
Figure (32): The impact of cutting (a), infections (b) grazing (c)
and drought (d & e) on M. peregrina trees in South Sinai.
193
Figure (33): Over-cutting is one of the most common
observations in W. Agala.
194
Figure (34): The green pods and branches of M. peregrina are the most
favorable forage for animals in Wadi Feiran.
Figure (35): The impact of drought on Moringa trees, no green branches,
no flowers, no pods, and no life.
195
Figure (36): Long drought and winds actions breakdown M.
peregrina trees in Wadi Feiran.
196
a
b
c
d
Figure (37): The decrease of vitality and productivity of M.
peregrina trees growing at high altitude (a & b) than the
lower one (c & d) in Wadi Feiran.
197
Figure (38): The infected old trunks of M. peregrina growing in
Wadi Zaghra and W. Me'ir.
198
Appendix III.
The old Moringa trees
b
a
d
c
Figure (39): Two of the old M. peregrina trees in W. Zaghra (a & b)
and in W. Me'ir (c & d).
199
Appendix IV.
Associated plant species
(b)
(a)
(c)
(d)
(e)
(f)
Figure (40): Associated species with M. peregrina trees in South Sinai,
(a) Acacia tortilis, (b) Aerva javanica, (c) Capparis sinaica, (d)
Citrullus colocynthsis, (e) Calotropis procera, and (f)
Hyoscyamus muticus.
200
This book addresses the ecology, age dating, and demography of Moringa peregrina, as an
important but threatened medicinal plant species growing in Sinai, It is one of the most
important trees in Bedouin’s life in deserts of Egypt and Middle East. natural populations of M.
peregrina suffer multiple stresses lead to decrease in their sizes and number. This book include
a very inclusive background and review on Moringa and a description of climate and land use of
Sinai where M. peregrina naturally growing. age dating of the trees in different wadi systems in
Sinai is addressed. Attention was paid also to the different environmental factors controlling the
growth of M. peregrina and its main habitats in the Southern Sinai. the work is supported with a
species list of associating species and a number of photos showing the threats affecting the
occurrence of the tree. Knowledge gained from this work is very helpful in bringing this valuable
species into cultivation on large scale in desert ecosystems.
Prof. Abdelraouf A. Moustafa
Professor of plant Ecology in Suez Canal University, MSc 1986,
PhD, SCU in cooperation with Harvard University (USA) in 1991.
Chairman of Botany Department (2003–2009), member of
environmental council affairs 2012, founder of Egyptian Society
for environmental Sciences, Editor of CATRINA Journal.
Research interest: Conservation of medicinal plants.
ISPN: 978-3-659-31924-2
201