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Article

Impacts of Anthropogenic Disturbance on Vegetation Dynamics: A Case Study of Wadi Hagul, Eastern Desert, Egypt

by
Ramadan Bedair
1,
Amira A. Ibrahim
2,*,
Amal A. Alyamani
3,
Salman Aloufi
3 and
Samah Ramadan
4
1
Department of Botany and Microbiology, Faculty of Science, Al-Azhar University, Nasr City, Cairo 11884, Egypt
2
Department of the Plant Protection and Biomolecular Diagnosis, Arid Lands Cultivation Research Institute (ALCRI), City of Scientific Research and Technological Applications (SARTA, City), New Borg El Arab City 21934, Egypt
3
Department of Biotechnology, Faculty of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
4
Botany Department, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
*
Author to whom correspondence should be addressed.
Plants 2021, 10(9), 1906; https://doi.org/10.3390/plants10091906
Submission received: 6 July 2021 / Revised: 27 August 2021 / Accepted: 9 September 2021 / Published: 14 September 2021
(This article belongs to the Section Plant Ecology)
Browse Figures
Versions Notes

Abstract

:
Irresponsible human interventions, encroachment of natural habitats, and climate change negatively affect wildlife. In this study, the effects of human influence on Wadi Hagul, an unprotected area in the north of the Egyptian Eastern Desert that has recently been subjected to blatant encroachments of vegetation, were studied. The most important of these threats is the construction of the new road Al-Galala–Wadi Hagul–Zafarana. In Wadi Hagul, 80 species are reported in this study; the most represented plant families are Asteraceae (15 species) and Brassicaceae (6 species). Perennial, chamaephyte and Saharo-Arabian species were recorded in the highest percentage. Detrended canonical correspondence analysis showed that latitude, longitude, altitude, silt, sand contents, pH, and CO32− content are the factors that have the highest effect on vegetation distribution in the studied stands. Several invasive and alien species such as Euphorbia prostrata have been listed; these species typically have a negative effect on native species. The Soil Adjusted Vegetation Index (SAVI) indicated a decrease in plant cover during the study period, as compared to previous years. In 2013 and 2020, SAVI ranged from −0.02 to 0.42 and from −0.18 to 0.28, respectively. Recently, the violation and destruction of wildlife have increased, therefore, preserving it along with general biodiversity has become an urgent necessity.

1. Introduction

Land degradation and vegetation reduction caused by external stresses, affect biodiversity and natural ecosystems and the numerous services they provide [1]. Environmental deterioration, habitat changes, inappropriate vegetation management, translocation, fragmentation, and deforestation modify biotic and abiotic ecosystem components, resulting in changes in ecological processes such as vegetation dynamics [2,3,4]. Overgrazing, road building, overharvesting, solid wastes, salinization, industrialization, urbanization, and military activities are considered to be the main anthropogenic activities that lead to changes and transformation of vegetation and natural habitat loss in arid and semi-arid environments [5,6,7].
In terrestrial ecosystems, climate and land cover changes such as cover, height, biomass, relative humidity, soil temperature, moisture, fertility, and erosion affect the structural properties of vegetation [8]. Biodiversity decline is influenced by various types of human activities, including land cover changes, the introduction of invasive species, overexploitation, and pollution [9,10,11]. Alteration of vegetation growth is the result of climate variation, and human activities can modify atmosphere–biosphere interaction, causing changes in the hydrological cycle, either directly or indirectly [12,13,14].
Environmental issues, including soil fertility decline, heavy winds, increase in the evaporation rate, high temperature, and heavy rainfall, lead to dramatic changes in plant species community structure [7,15,16]. Ecosystem services and biodiversity contribute approximately 57% of gross domestic production [17], therefore, there is a pressing need to save biodiversity, especially endangered species through convert these locations to protected areas [18]. There are a variety of approaches that are able to reverse biodiversity loss, ranging from economic, through ecological, to ethical [19].
Human pressures in Africa, include agricultural and pasture activities, illegal timber harvesting, and bush fires. All of these stresses have a negative impact on the plant ecosystem [20]. From the middle of the last century, the human population of the earth doubled [21]. Population growth and urbanization are the most important causes of ecosystems collapse [22]. Rapid population growth leads to many problems such as fire prevalence, air pollution, light pollution, loss of genetic diversity, the prevalence of invasive species, and wildlife destruction [23]. Human activities, through the civilizational and agricultural expansion and by the destruction of natural habitats, have increased extinction rates up to 500 times [24] (Baillie et al., 2004). Over the ages, human activities have caused three powerful waves of extinction [25]. It is estimated that nearly 8390 plant species are listed as endangered [26]. Approximately 32% of the existing plant species are classified as either critically endangered or extinct [27], nearly 20% being extinct because of human activities [28]. In China, nearly 11% of the plant species that were evaluated are extinct [29].
Species with a narrow distribution range are more likely to be lost, while widespread species are more likely to survive [30]. Some wild plants have adapted to the conditions and survived in their natural habitats [31]. However, invasive species spread causes disturbance in communities and may lead to the extinction of endemic and native species [32].
Anthropogenic activities are causing changes in natural plant communities in Egypt from ancient times through draining of lakes and marshes and reduction of species number in aquatic communities [33]. Remote sensing is one of the most unique techniques used for estimating environmental changes [34]. Some characteristics of vegetation detected using remote sensing techniques are photosynthetic activity, chlorophyll content, plant density, green leaf biomass, the leaf area index, and plant health [35]. The second factor that includes climatic measures includes air temperature and solar radiation [36,37,38]. SAVI is one of the most common vegetation indices used as a tool to discriminate vegetation covers [39]. SAVI can be used efficiently in arid regions [40]. In areas where vegetative cover is low (i.e., <40%) and the soil surface is exposed, the reflectance of light in the red and near-infrared spectra can influence vegetation index values. This is especially problematic when comparisons are being made across different soil types that may reflect different amounts of light in the red and near-infrared wavelengths (i.e., soils with different brightness values). The soil-adjusted vegetation index was developed as a modification of the Normalized Difference Vegetation Index (NDVI) to correct for the influence of soil brightness when vegetative cover is low [41]. The output of SAVI is a new image layer with values ranging from −1 to 1. The lower the value, the lower the amount/cover of green vegetation [42].
A wadi is a natural depression on the earth’s surface. Wadi Hagul is a morphotectonic depression located between Gebel Ataqa’s southern scarps in the north and El-Galala El-Bahariya Plateau’s northern scarp in the south. Wadi Hagul is one of the unprotected wadies in Egypt and is one of the most anticipated project areas in Egypt to alleviate congestion. As a result, several integrated development projects are being worked on that implement many critical infrastructure areas such as quarries, roads, power plants, mines, landfills, and resorts. The most important national project is the development of the northern part of the Gulf of Suez pipeline surcharge, implemented through the main track of the study area and its environment [43]. Three main sectors can be recognized based on the vegetation and geological aspects of Wadi Hagul: upstream, middle, and downstream. Two distinct plant communities can be found in the upstream section of Wadi Hagul’s main channel: one is dominated by Zilla spinosa on elevated terraces of mixed deposits. The other is dominated by Launaea spinosa and represents a further stage in the building up of the wadi bed. In the middle section, Leptadenia pyrotechnica community occurs. In the downstream section, the vegetation is dominated by Hammada elegans with individuals of Launaea spinosa and Lygos raetam [44].
This paper focuses on Wadi Hagul, which has neither attained sufficient interest from intended responsible parts nor ecological studies, although it is considered an environment rich in various plants including a number of endangered plants, whereas other Eastern desert wadis of Egypt have received both interest and studies convenient for them. Therefore, the objective of this study is the estimation of vegetation cover in Wadi Hagul through the illustration of the relationship between environmental factors in the studied localities and the distribution of plant communities. The study also aimed at comparing vegetation changes and at testing new methods to record the reasons for changes in vegetation dynamics by calculating the temporal patterns of SAVI during 2013, 2015, and 2020 in Wadi Hagul, Eastern Egyptian Desert.

2. Materials and Methods

2.1. Study Area

Wadi Hagul lies between 32°09′32″ E and 32°17′27″ E and between 29°48′28″ N and 29°57′43″ N, with an area of 350 km2 (0.16% of the Eastern Desert total area). The main canal of Wadi Hagul extends until it reaches the Gulf of Suez, with a width ranging from 6 to 10 km and a length of approximately 36 km. Wadi Hagul is considered to be one of 15 wadies located on the Red Sea coast. It is situated 112 km west of Cairo, between Gebel Ataqa and the Kahaliya ridge [44]. Wadi Hagul is characterized by a dry desert climate with little rain, high temperatures, and a high evaporation rate. The three sections represent dry natural habitats inhabited mainly by xerophytic plants. The dominant species are Fagonia mollis, Echinops spinosus, and other xerophytic plants [45].

2.2. Climate Data

Climate data for the past 30 years (1990–2020) were extracted from www.meteoblue.com; accessed on 15 April 2021. They include mean maximum temperature (°C), mean minimum temperature (°C), precipitation (mm), hot days (°C), and cold nights (°C) (T S1). Wind direction and velocity (km/h) are provided in Figure S2.

2.3. Floristic Study

To estimate the vegetation cover in Wadi Hagul, 20 stands were chosen to represent different plant habitats in Wadi Hagul. A total of 20 stands were selected for the study of the vegetation of Wadi Hagul during the spring and summer seasons of 2019 and 2020. In each stand, four quadrates were chosen (quadrate area = 10 m × 10 m = 100 m2) (Table 1 and Figure 1 and Figure 2). Vegetation cover was measured using visual estimation. Recorded plant species in all localities were identified, and life span was documented according to Boulos [46,47,48,49,50]. Life form and floristic category were recognized after Raunchier [51], Tutin et al. [52], and Davis [53].

2.4. Soil Analyses

Many soil factors were examined in order to determine the characteristics of the soil in the study area. From each stand, four soil samples were collected and merged to form a homogeneous and representative sample of a single locality. Fifteen soil factors were analyzed: soil texture (sand, silt, and clay), pH, total dissolved salts, electrical conductivity, magnesium, calcium, sodium, potassium, chloride, bicarbonate, carbonate, sulfate, and organic carbon content. Soil texture was determined according to Estefan et al. [54] using a pipette method. Digital portable pH, TDS, and EC meters (Adwa®, Adwa Instruments, Szeged, Hungry) were used to calculate pH, total dissolved salts (T.D.S.), and electrical conductivity (E.C.). Magnesium and calcium were determined using a titration method according to Page et al. [55]. A flame photometer at wavelengths of 589 and 767 nm was used to determine sodium and potassium, respectively [54]. Chlorides, bicarbonates, and carbonates were determined using a titration method [56]. Sulfates were determined after Estefan et al. [54] using the turbid metric method. Organic carbon was determined using a titration method [57].

2.5. Statistical Analyses

Descriptive statistical measures (mean, median, standard deviation, range, minimum, maximum, and interquartile range) for different soil factors were determined using Sigmaplot ver. 12.5.
Several biodiversity indicators were measured such as Shannon′s and Simpson′s diversity indices, species richness, and evenness were extracted using PC-ORD ver. 5 software [58]. Hills numbers were calculated using the R program.
To clarify the relationship between environmental factors, especially soil factors, the study area was divided into three areas: the beginning of the Wadi (stands 1 to 7), the middle (stands 8 to 14), and the end of the Wadi (stands 15 to 20). A detrended canonical correspondence analysis (DCCA) was performed using CANOCO ver. 4.5 and CanoDraw ver. 4.1 [59].

2.6. Vegetation Change

To confirm the negative impact of human interventions on the vegetation cover in Wadi Hagul, SAVI was calculated in the study area during different years. Satellite images for 2013, 2015, and 2020 were obtained from the Landsat 8 satellite (Band 4 and Band 5) during the spring season using the website https://earthexplorer.usgs.gov/; accessed on 15 April 2021. Due to the position of the satellite in its orbit, haze, dust, and sun angle, satellite images have some defects which should be processed. Satellite images should be geometrically, atmospherically, and radiometrically corrected to become ready for extracting the required data. For that, satellite image processing software ENVI 5.3 and Arc GIS 10.5 were used to correct the collected satellite imageries. Soil Adjusted Vegetation Index (SAVI) was calculated according to the following equation:
SAVI = ((Band 5 − Band 4)/(Band 5 + Band 4 + L)) × (1 + L)).
where, L = The amount of green vegetation cover (For example, 0.5).
Then the study area (Hagul) was extracted from the satellite images.

3. Results

3.1. Floristic Composition

A collection of 80 plant taxa, belonging to 30 families, was recorded in Wadi Hagul. The most represented plant families were Asteraceae, Brassicaceae, and Zygophyllaceae with 15 (18.8%), 6 (7.5%), and 5 species (6.3%), respectively. Thirteen families (Amaranthaceae, Apiaceae, Capparaceae, Convolvulaceae, Cucurbitaceae, Ephedraceae, Malvaceae, Nitrariaceae, Orobanchaceae, Fabaceae, Plantaginaceae, Polygonaceae, and Rutaceae) were represented by one species (Table 2 and Figure 3).
Regarding the life span of the listed species, most of them are perennials (54 species, 67.5%), followed by annuals (25 species, 31.3%). A single biennial species was Centaurea aegyptiaca (Table 2 and Figure 4). Comparing species according to their life form, we found approximately 40% chamaephytes, 31% therophytes, 15% hemicryptophytes, and 11% phanerophytes. Parasite and geophyte species were represented by a single species each (Table 2 and Figure 5).
With respect to a phytogeographical region, monoregional geoelements were the most common floristic category (40 species, 50%), followed by biregionals (27 species, 33.8%), and pleuriregionals (8 species, 10%). Cosmopolitan and palaeotropical species were represented by one and one species, respectively (Table 2 and Figure 6).
In the current study, 80 taxa were recorded, whereas Abdelaal [60] listed 98 taxa. The number of species recorded in this study was 19 (not recorded in the previous study), whereas 38 species were recorded by Abdelaal [60]. A total of 61 plant species were shared between the two studies (Table 2).
The averages of species richness, evenness, and Shannon‘s and Simpson‘s indices were 3, 0.556, 0.722, and 0.3755, respectively. Hill′s number when Q = zero, gamma, alpha and beta diversity were 63, 9.7 and 6.5, respectively. Hill′s number when Q = one, gamma, alpha and beta diversity were 8.2, 4.3 and 1.9, respectively. Hill′s number when Q = two, gamma, alpha and beta diversity were 5, 3.3 and 1.5, respectively.

3.2. Soil Characteristics

Soil samples were taken at a depth of 0 to 30 cm in the studied localities, and 15 soil factors were analyzed. Soil pH, TDS, and EC values ranged 7.4 to 8.5, 82 to 9840 ppm, and 0.128 to 15.375 dS/m, respectively. Calcium, magnesium, sodium, and potassium contents ranged 0.7 to 49 meq/L, 0.22 to 28 meq/L, 0.21 to 63 meq/L, and 0.104 to 11.2 meq/L, respectively. Carbonate, bicarbonate, chloride, and sulfate contents ranged between 0.15 and 0.45%, 0.305 and 0.61%, 0.5 and 43 meq/L, and 1.2 to 76 meq/L, respectively. Organic carbon, clay, and silt contents in all soil samples were less than 1.4%, 5%, and 15%, respectively. In addition, sand contribution in all soil samples was more than 81% (Table 3).

3.3. Effect of Environmental Factors on the Distribution of Plant Communities in the Studied Localities

The distribution of the studied localities and recorded plant species and their relationships to environmental factors are illustrated in Figure 7. DCCA showed that altitude, latitude, organic carbon content, Tamarix aphylla, Gymnocarpos decandrus, Fagonia Arabica, Reaumuria hirtella, and Erodium laciniatum positively correlated with axis 1. Longitude, Mg2+, clay content, Citrullus colocynthis, Chrozophora plicata, Aerva javanica, and Orobanche crenata are negatively correlated with axis 1. Sand content, pH, Reseda decursiva, Scrophularia deserti, Rumex vesicarius, Conyza aegyptiaca, Diplotaxis acris, Diplotaxis harra, Haplophyllum tuberculatum, Trichodesma africanum, Sonchus oleraceus, Conyza bonariensis, Euphorbia retusa, Gypsophila capillaris, Chenopodium murale, and Kickxia aegyptiaca positively correlated with axis 2, whereas T.D.S., E.C., Cl−, Ca2+, K+, Na+, SO42−, CO3−, HCO32−, Pulicaria undulata, Calotropis procera, Phragmites australis, and Imperata cylindrica negatively correlated with axis 2.

3.4. Vegetation Change

SAVI for 2013 ranged from −0.02 to 0.42; for 2015, it ranged from −0.011 to 0.32; and for 2020, it ranged from −0.18 to 0.28 (Figure 8).

4. Discussion

In Wadi Hagul, 80 plant species belonging to 30 families were recorded. Among them, Asteraceae, Brassicaceae, and Zygophyllaceae were the most frequent families. These results are very similar to those reported in 2009 by Zahran and Willis [44] (31 species recorded) and in 2000 by Marie [61] (37 species recorded), who found that Asteraceae and Zygophyllaceae were the most common plant families in Wadi Hagul. By contrast, in 2016, Abdelaal [60] recorded 98 species, where Asteraceae and Poaceae were the most frequent families. Eight families (Aizoaceae, Cistaceae, Cleomaceae, Liliaceae, Neuradaceae, Polygonaceae, Urticaceae and Verbenaceae), each represented by only one plant species, were recorded in Abdelaal [60], and none of them were recorded in this study. Asteraceae were reported as the most common family in other Eastern desert wadies (Wadi Asyouti and Wadi Habib) [62]. Asteraceae was known for having a proportion of salt-tolerant and xerophytic species [63]. Asteraceae makes up the bulk of floristic composition in Egypt. It is represented by 98 genera, and 234 species [48,64]. Mashaly [65] reported a list of 62 species, with no alien species found.
The perennial plant group was most represented (67.5%) in the current study; this is consistent with the results of Zahran and Willis [44], Marie [61], and Abdelaal [60], who studied vegetation in the same study area during previous years. Regarding the number of annual species in Wadi Hagul, it has changed over the years of the study. This may be due to variation in the total rainfall during the studied years.
Life forms of species depend mainly on adaptation to the environment, particularly climate [66,67,68,69]. Life forms of desert plants are closely related to precipitation [70,71] and are correlated with both landform and topography [72,73,74]. In the present study, the chamaephyte life form was most represented (40%). Therophyte was the second most common life form (31.3%). These results are in accordance with the results of Abd El-Galil [75], who studied the floristic composition of Wadi Al-Assiuty, Eastern Desert, Egypt. In arid and semi-arid regions, chamaephyte and therophyte were found to be the most common life-forms [76,77,78].
Saharo-Arabian species captured the highest percentage in the floristic categories (43.75%). This result is concordant with Zahran and Willis [44], Marie [61], and Abdelaal [60]. It is worth noting that Saharo-Arabian species are good indicators for desert environmental conditions [79,80,81].
Species richness, which refers to the number of various plant species in the stands, is one of the most important indices of species diversity. In the studied stands, the average of species richness recorded three species, which is a low number. This could be due to a variety of factors, including the severe environment and climate that characterize the study area, which may be an obstacle to the growth of some plant species. Species evenness is a description of the distribution of species abundance in a community. The average of species evenness was 0.7. Species evenness is measured on a scale of 0 to 1, with 0 representing the lowest evenness (one species has 100% coverage) and 1 representing the highest evenness (coverage is evenly spread among a number of species). This may be due to the presence of a very dominant species in a community causes the less competitive species to be suppressed [82]. Shannon index depends strongly on species richness [83]. Simpson index is not a very intuitive measure of diversity since higher values indicate lower diversity [84].
The results of DCCA analysis indicated that latitude, longitude, altitude, silt and sand contents, pH, and CO32− content are the most important factors affecting the distribution of vegetation in Wadi Hagul. These results are somewhat consistent with those of Mashaly [62], who stated that the most influential soil factors for the distribution of vegetation in Wadi Hagul are soil texture, Na+, pH, and organic matter. Abdelaal [60] mentioned that K+, Na+, organic matter, moisture content, pH, E.C., and Cl− were the most affecting soil parameters for the distribution of vegetation in Wadi Hagul. Plant species associated with the increase in the proportion of sand in the soil and soil pH were Tamarix nilotica, Ochradenus baccatus, Launea nudicalus, Launea nudicalus and Rumex vesicarius. The longitude and the amount of Mg2+ in the soil were the most important factors associated with many plant species such as; Zilla spinosa, Zygophyllum simplex and Zygophyllum coccineum. Most of the salinity factors (E.C., T.D.S., Ca2+, Cl− , Na+ and K+), CO32− , HCO3− and the percentage of silt in soil were associated with some species such as; Lycium shawii, Leptadenia pyrotechnica, Panicum turgidum and Haloxylon salicornicum. Latitude, altitude and the amount of organic carbon in soil were important factors in the distribution of some plant species such as Echinops spinosus, Erodium laciniatum, Erodium glaucophyllum and Reaumuria hirtella.
Many of the threatened plant species recorded in previous studies were not recorded in this study, including Aizoon canariensis, Artemisia judaica, Ifloga spicata, Silene viviani, Sphaerocoma hookeri, Helianthemum lippi, Astraglus spinosus, Senna alexandrina, Salvia aegyptiaca, Schismus barbatus, Hyoscyamus muticus, and Verbena officinalis. As a result, action must be taken to safeguard threatened species by a variety of measures, including the establishment of protected areas, criminalizing exposure to endangered plants, creating a gene bank for these plants, and attempting to increase their numbers in practice.
In this study, many alien and invasive species, such as Euphorbia prostrate, were recorded [85]. The introduction of invasive and alien species into natural habitats represents a threat to existing species. Assaeed et al. [86] indicated that invasive and exotic plants may pose a threat to natural resources and biodiversity, especially in arid habitats. Successful invaders often exhibit great degrees of adaptability, allowing them to thrive in a variety of environments [87,88]. Plant shoot and root system features are thought to be good morphological criteria for predicting successful invasion in many habitat types [89]. Many invasive species contain allelopathic chemicals that enable them to invade and control plant communities [90].
Climate changes, in addition to human encroachments such as the construction of roads and the establishment of new cities, pose the main pressure on vegetation. Climate changes and human impact negatively affect biodiversity in several Wadies in the Egyptian Eastern Desert [91].
In this study, SAVI decreased during 2013 (from −0.02 to 0.42), 2015 (from −0.011 to 0.32), and 2020 (from −0.18 to 0.28). This result could be due to various human impacts in Wadi Hagul such as the construction of the new road Al-Galala–Hagul–Zafarana, which is 84 km long and 24 m wide and crosses Wadi Hagul, in addition to many other threats such as overgrazing, plant collection, and increasing demand for energy, which have led to exploration for oil and natural gas near Wadi Hagul. Large population growth in recent times has also led to increasing demand for building materials and opening quarries inside Wadi Hagul, which resulted in a local increase in transport and pollution. Finally, it was discovered that if environmental conditions (such as human interventions and climate changes) alter and become unsuitable for plant growth, they have a negative impact on vegetation cover, thus lowering the SAVI values.
In recent times, the preservation and protection of wildlife have become an urgent necessity, especially in the light of misuse of natural resources and encroachment of wildlife. Economic development and wildlife conservation can be simultaneously achieved by following the principles, rules, and requirements of sustainable development for balanced usage of available resources.

5. Conclusions

This study was conducted in an unprotected area, Wadi Hagul, Eastern desert, Egypt, to evaluate the relationship between environmental factors and the distribution of plant species, as well as evaluate the negative effects of uncontrolled human activities on both floristic composition and vegetation structure. Climate change, reflected in high temperatures and a lack of rain, also has a negative impact on vegetation cover in the study area, which is classified as a semi-arid desert. Ecosystems in general, especially deserts, are greatly affected by irresponsible human interventions. Hence, plans and strategies should be developed to conserve biodiversity. Within this context, the outcomes of this study, as well as those of other similar studies, will aid in the implementation of necessary environmental protection measures. Our study clearly showed a decreasing trend of SAVI across Wadi Hagul during 2013, 2015, and 2020. Physical factors, rather than anthropogenic, were the primary driving force for vegetation dynamics, whereas the effects of anthropogenic factors may be magnified when physical environmental factors provide unsuitable ambiance for vegetation growth. Other indexes must be measured to estimate vegetation cover, especially in unprotected areas subject to major human interventions, as can be carried out in future studies.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/plants10091906/s1, Figure S1: Climate diagram of Wadi Hagul (1990–2020): mean maximum temperature (°C), mean minimum temperature (°C), precipitation (mm), hot days (°C), and cold nights, Figure S2: Wind direction and velocity in Wadi Hagul (1990–2020).

Author Contributions

Conceptualization, A.A.I., R.B. and S.R.; software, R.B. and A.A.I.; validation, A.A.I., S.A. and A.A.A.; formal analysis, R.B., A.A.I., S.A., A.A.A. investigation, A.A.I., R.B. and S.R.; resources, A.A.I., S.R. and R.B.; data curation, A.A.I., S.R. and R.B.; writing—original draft preparation, R.B., A.A.I., S.R.; writing—review and editing, A.A.I., R.B. and S.R.; visualization, A.A.I., R.B., S.A. and A.A.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Relevant data applicable to this research are within the paper.

Acknowledgments

Authors thank Abdo Marei Hamed for his keen help during field trips, Ibrahim A. Mashaly for his keen help in identification of plant samples, Om Mohamed A. Khafagi for her help in paper reviewing and Al-Baraa S. M. El-Saied for his help in statistical analysis.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Location on the map showing the digital elevation model of Wadi Hagul.
Figure 1. Location on the map showing the digital elevation model of Wadi Hagul.
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Figure 2. A quadrate with an area of 10 m × 10 m in.
Figure 2. A quadrate with an area of 10 m × 10 m in.
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Figure 3. Number of species distributed across different families recorded in Wadi Hagul.
Figure 3. Number of species distributed across different families recorded in Wadi Hagul.
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Figure 4. Life span of the species recorded in Wadi Hagul.
Figure 4. Life span of the species recorded in Wadi Hagul.
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Figure 5. Life forms of species recorded in Wadi Hagul.
Figure 5. Life forms of species recorded in Wadi Hagul.
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Figure 6. Chorotypes of the species recorded in Wadi Hagul.
Figure 6. Chorotypes of the species recorded in Wadi Hagul.
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Figure 7. DCCA triplot showing the distribution of the studied localities and the recorded plant species as well as their relationships to environmental factors. The triangles represent species, and the arrows represent environmental variables. Arrow length expresses relative importance of an environmental variable. Dropping perpendicular to the arrows from each of the “species″ indicates the species′ relative position along the ecological gradient represented by an arrow.
Figure 7. DCCA triplot showing the distribution of the studied localities and the recorded plant species as well as their relationships to environmental factors. The triangles represent species, and the arrows represent environmental variables. Arrow length expresses relative importance of an environmental variable. Dropping perpendicular to the arrows from each of the “species″ indicates the species′ relative position along the ecological gradient represented by an arrow.
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Figure 8. SAVI maps for 2013 (A), 2015 (B), and 2020 (C).
Figure 8. SAVI maps for 2013 (A), 2015 (B), and 2020 (C).
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Table
Table 1. Global Positioning System coordinates of the studied localities in Wadi Hagul.
Table 1. Global Positioning System coordinates of the studied localities in Wadi Hagul.
StandsLatitude (N)Longitude (E)Altitude above Sea Level (m)StandsLatitude (N)Longitude (E)Altitude above Sea Level (m)
130°1′2.58345″32°5′29.5121″2771129°50′45.68″32°16′4.86″152
229°59′33.13075″32°5′56.79499″2951229°51′39.19″32°15′43.54135″163
329°58′49.0674″32°7′3.39269″3071329°49′35.08406″32°16′17.25956″131
429°58′1.74144″32°8′38.88139″3271429°47′44.49253″32°16′35.06138″109
529°57′19.91″32°9′58.45″2861529°47′7.80″32°15′59.88″132
629°56′16.55599″32°10′52.53848″2581629°46′16.54″32°15′18.87″113
729°55′38.91″32°11′37.12″2431729°45′6.97″32°14′49.35″89
829°54′34.95031″32°12′30.83965″2231829°43′59.88″32°14′39.51″78
929°53′55.03″32°13′17.35″2131929°43′0.09″32°15′5.75″65
1029°53′10.26654″32°14′15.37418″1902029°41′54.08515″32°15′7.61404″66
Table
Table 2. The list of species recorded in Wadi Hagul with their plant families, life span, life form, floristic category, and abbreviations.
Table 2. The list of species recorded in Wadi Hagul with their plant families, life span, life form, floristic category, and abbreviations.
SpeciesFamilyLife SpanLife FormFloristic CategoryRecordAbbreviation
Blepharis attenuata NapperAcanthaceaePe.Cha.IR and SABBle att
Blepharis edulis (Forssk.) Pers.Pe.Cha.SA and SZBBle edu
Aizoon canariensis L.AizoaceaeAn.The.SA and SZAAiz can
Aerva javanica (Burm.f.) Juss. ex Schult.AmaranthaceaePe.Cha.SA and SZBAer jav
Deverra tortuosa (Desf.) DC.ApiaceaePe.Cha.SAA,BDev tor
Calotropis procera (Aiton) W.T. AitonAsclepiadaceaePe.Pha.SA and SZA,BCal pro
Cynanchum acutum L.Pe.Hem.Med, R, and ERA,BCyn acu
Leptadeniapyrotechnica (Forrsk.) Decne.Pe.Pha.SAA,BLep pyr
Pergularia tomentosa L.Pe.Cha.SAA,BPer tom
Achilleafragrantissima (Forssk.) Sch. Bip.AsteraceaePe.Cha.SA and IRA,BAch fra
Artemisia judaica L.Pe.Cha.SAAArt jud
Atractylis carduus (Forssk.) C.Chr.Pe.Hem.ME and SAAAtr car
Bidens pilosa L.An.The.PANABid pil
Centaurea aegyptiaca L.Bi.The.SAA,BCen aeg
Conyza aegyptiaca (L.) Dryand.An.The.MedA,BCon aeg
Conyza bonariensis (L.) CronquistAn.The.MedA,BCon bon
Cotula cinerea Del.An.The.SAACot cin
Echinops spinosus L.Pe.Hem.Med and SAA,BEch spi
Ifloga spicata (Forssk.) Sch. Bip.An.The.SAAIfl spi
Iphiona mucronata (Forssk.)Asch.Pe.Cha.SAA,BIph muc
Launaea capitata (Spreng)DandyBi.The.SA and SZALau cap
Launea nudicalus (L.) Hook. f.Pe.Hem.SAA,BLau nud
Launea spinosa (Forssk.) Sch. Bip. ex Kuntze.Pe.Cha.SAA,BLau spi
Nauplius graveolens (Forssk.)WilklundPe.Cha.SAA,BNau gra
Pluchea dioscoridis (L.) DC.Pe.Pha.SA and SZA,BPlu dio
Pulicaria undulata (L.) C.A.Mey.Pe.Cha.SA nd SZA,BPul und
Reichardia tingitana (L.) RothAn.The.Med and IRBRei tin
Senecio glaucus L.An.The.Med, IR, andSAA,BSen gla
Sonchus oleraceus L.An.The.COSMA,BSon ole
Volutaria lippii (L.) Cass. Ex Maire.An.The.SAA,BVol lip
Anchusa humilis (Desf.) I. M. Johnst.BoraginaceaeAn.The.Med and SABAnc hum
Heliotropiumarabinense Fresen.Pe.Cha.SABHel ara
Heliotropium digynum (Forssk.) ChristensPe.Cha.SAA,BHel dig
Trichodesmaafricanum (L.) R. Br.Pe.Cha.SA and SZA,BTri afr
Anastaticahierochuntica L.BrassicaceaeAn.The.SAA,BAna hie
Brassica tournefortii Gouan.An.The.Med, IR, and SAABra tou
Diplotaxis acris (Forssk.) Boiss.An.The.SAA,BDip acr
Diplotaxis harra (Forssk.) Boiss.Pe.Hem.Med and SAA,BDip har
Eruca sativa Mill.An.The.Med, IR, R, and SABEru sat
Farsetia aegyptia Turra.Pe.Cha.SA and SZA,BFar aeg
Matthiola longipetala (Vent.) DC.An.The.Med and IRAMat lon
Zilla spinosa (L.) Prant.Pe.Cha.SAA,BZil spi
Cleome droserifolia (Forssk.) DelileCapparaceaePe.Cha.SA and IRA,BCle dro
Gymnocarpos decandrus Forssk.CaryophyllaceaePe.Cha.SAA,BGym dec
Gypsophila capillaris (Forssk.) C. Chr.Pe.Hem.SA and IRA,BGyp cap
Herniaria hemistemon J. GayPe.Hem.Med and SAAHer hem
Polycarpaea repens (Forssk.) Asch.Pe.Cha.SAAPol rep
Silene viviani Steud.An.The.Med and SAASil viv
Sphaerocoma hookeri T. AndersonPe.Cha.SAASph hoo
Anabasis setifera Moq.ChenopodiaceaePe.Cha.SABAna Moq
Bassia indica (Wight) Scott.An.The.IR and SZABas ind
Bassia muricata (L.) Asch.An.The.IR and SAABas mur
Chenopodium murale L.An.The.COSMA,BChe mur
Haloxylonsalicornicum (Moq.) BungePe.Cha.SAA,BHal sal
Helianthemum lippi (L.) Dum. Cours.CistaceaePe.Cha.SA and SZAHel lip
Cleome amblyocarpa Barratte and Murb.CleomaceaeAn.The.IR and SAACle amb
Convolvulus hystrix VahlConvolvulaceaePe.Cha.SA and SZBCon hys
Citrullus colocynthis (L.) Schrad.CucurbitaceaePe.Hem.SABCit col
Ephedra alata Decne.EphedraceaePe.Cha.SABEph ala
Chrozophora plicata (Vahl) A. Juss. ex Spreng.EuphorbiaceaeAn.The.SZBChr pli
Euphorbia peplus L.An.The.Med, IR, and ERA,BEup pep
Euphorbia prostrata AitonAn.The.PANAEup pro
Euphorbia retusa Forssk.Pe.Hem.SAA,BEup ret
Euphorbia exigua L.An.The.Med and IRBEup
Acacia tortilis (Forssk.) HayneFabaceaePe.Pha.SA and SZA,BAca tor
Astraglus spinosus (Forssk.) Muschl.Pe.Cha.Med, IR, and SAAAst spi
Crotalaria aegyptiaca Benth.Pe.Cha.SAA,BCro aeg
Lotus glinoides DelileAn.The.SZALot gli
Melilotus indicus (L.) All.An.The.Med, IR, and SAAMel ind
Retama raetam (Forssk.) Webb and Berthel.Pe.Pha.SAA,BRet rae
Senna alexandrina Mill.Pe.Cha.SA and SZASen ale
Trigonella stellata Forssk.An.The.SA and IRA,BTri ste
Erodium crassifolium L′Her.GeraniaceaePe.Hem.SABEro cra
Erodium glaucophyllum (L.) L′Hér.Pe.Hem.SABEro gla
Erodium laciniatum (Cav.) Wild. subsp. LaciniatumAn.The.MedA,BEro lac
Erodium laciniatum (Cav.) Wild. subsp. PulverulentumAn.The.MedA,BEro lac
Lavandula coronopifolia Poir.LamiaceaePe.Cha.SAA,BLav cor
Salvia aegyptiaca L.Pe.Cha.IR and SAASal aeg
Salvia deserti Decne.Pe.Cha.SA and IRA,BSal des
Asphodelus fistulosus L.LiliaceaeAn.The.Med, IR, and SAAAsp fis
Malva parvifolra L.MalvaceaeAn.The.Med and IRA,BMal par
Neurada procumbens L.NeuradaceaeAn.The.IR and SAANeu pro
Nitraria retusa (Forssk.) Asch.NitrariaceaePe.Pha.SABNit ret
Orobanche crenata Forssk.OrobanchaceaeAn.ParasiteMed and IRBOro cre
Medicago laciniata (L.) Mill.FabaceaeAn.The.SABMed (L.
Plantago ovata Forssk.PlantaginaceaeAn.The.Med, IR, and SAA,BPla ova
Avena fatua L.PoaceaeAn.The.PALAAve fat
Imperata cylindrica (L.) RaeuschPe.Hem.Med, IR, and SAA,BImp cyl
Lasiurus scindicus Henrard.Pe.Hem.SA and SZALas sci
Lolium multiflorum Lam.An.The.Med, IR, and ERALol mul
Panicum turgidum Forssk.Pe.Hem.SAA,BPan tur
Pennisetum divisum Forssk. Ex J. F. GmelPe.Hem.SAAPen div
Phalaris minor Retz.An.The.Med and IRAPha min
Phragmites australis (Cav.) Trin. ex Steud.Pe.GeophyteCOSMA,BPhr aus
Poa annua L.An.The.COSMAPoa ann
Schismus barbatus (L.) Thell.An.The.Med, IR, and SAASch bar
Trisetaria linearis Forssk.An.The.Med and IRATri lin
Emex spinosa (L.) Campd.PolygonaceaeAn.The.Med and SAAEme spi
Rumex vesicarius L.PolygonaceaeAn.The.Med, SA, and SZA,BRum ves
Caylusea hexagyna (Forssk.) M. L. GreenResedaceaeAn.The.SA and SZACay hex
Ochradenus baccatus Delile.Pe.Pha.SAA,BOch bac
Reseda decursiva Forssk.An.The.SAA,BRes dec
Haplophyllum tuberculatum (Forssk.) A. Juss.RutaceaePe.Hem.SAA,BHap tub
Kickxia aegyptiaca (L.) NabelekScrophulariaceaePe.Cha.Med and SAA,BKic aeg
Scrophularia deserti DelilePe.Cha.SAA,BScr des
Hyoscyamus muticus L.SolanaceaePe.Cha.IR and SAAHyo mut
Lycium shawii Roem. and Schult.Pe.Pha.SA and SZA,BLyc sha
Solanum nigrum L.An.The.COSMBSol nig
Reaumuria hirtella Jaub. and Spach.TamaricaceaePe.Cha.IR and SAA,BRea hir
Tamarix aphylla (L.) H. Karst.Pe.Cha.SA, IR, and SZA,BTam aph
Tamarix nilotica(Ehrenb.) BungePe.Pha.SA and SZA,BTam nil
Forsskaolea tenacissima L.UrticaceaePe.Hem.SA and SZAFor ten
Verbena officinalis L.VerbenaceaePe.Hem.Med and SAAVer off
Fagonia arabica L.ZygophyllaceaePe.Cha.SAA,BFag ara
Fagonia mollis DelilePe.Cha.SAA,BFag mol
Zygophyllumcoccineum L.Pe.Cha.SA and SZA,BZyg coc
Zygophyllumdecumbens DelilePe.Cha.SAA,BZyg dec
Zygophyllum simplex L.An.The.PALA,BZyg sim
An. = Annual, Bi. = Biennial, Pe. = Perennial, The. = Therophyte, Hem. = Hemicryptophyte, Cha. = Chamaephyte, Pha. = Phanerophyte, SA = Saharo-Sindian, Med = Mediterranean, SZ = Sudano-Zambesian, IR = Irano-Turanian, ER = Euro-Siberian, A = a species recorded only by Abdelaal [60], B = a species recorded only in the current study, and A,B = a species shared between the current study and Abdelaal [60].
Table
Table 3. Descriptive statistical analysis of soil factors.
Table 3. Descriptive statistical analysis of soil factors.
Soil FactorMean ± Standard ErrorRange (Max–Min)Standard DeviationMedianInterquartile Range (IQR)
pH8 ± 0.07361.1 (8.5–7.4)0.3298.10.55
T.D.S. (ppm)1077.65 ± 508.7269,758 (9840–82)2,275.094360.5533
E.C. (dS/m)1.684 ± 0.79515.247 (15.375–0.128)3.5550.5630.832
Ca+2 (meq/L)6.353 ± 2.53748.3 (49–0.7)11.3462.652.952
Mg+2 (meq/L)3.053 ± 1.36627.78 (28–0.22)6.1081.271.37
Na+ (meq/L)6.025 ± 3.42162.79 (63–0.21)15.3011.152.205
K+ (meq/L)1.18 ± 0.56511.096 (11.2–0.104)2.5280.1651.288
CO3−2 (%)0.225 ± 0.02310.3 (0.45–0.15)0.1030.150.15
HCO3− (%)0.32 ± 0.01530.305 (0.61–0.305)0.06820.3050
Cl− (meq/L)4.532 ± 2.27842.5 (43–0.5)10.1891.2351.37
SO4−2 (meq/L)9.57 ± 3.96174.8 (76–1.2)17.7143.94.75
Organic carbon (%)0.888 ± 0.0791.2 (1.32–0.12)0.3530.840.66
Sand (%)83.333 ± 0.193.05 (84.7–81.65)0.85183.41.428
Silt (%)13.31 ± 0.1371.9 (14.3–12.4)0.61313.41.15
Clay (%)3.357 ± 0.1652.64 (4.7–2.06)0.7393.3251.087
pH = soil reaction, T.D.S. = total dissolved salts, E.C. = electrical conductivity, Ca2+ = calcium, Mg2+ = magnesium, Na+ = sodium, K+ = potassium, CO32− = carbonates, HCO3− = bicarbonates, Cl− = chlorides, SO42− = sulfates, ppm = parts per million, dS/m = deciSiemens per meter and meq/L = milliequivalents per liter.
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Bedair, R.; Ibrahim, A.A.; Alyamani, A.A.; Aloufi, S.; Ramadan, S. Impacts of Anthropogenic Disturbance on Vegetation Dynamics: A Case Study of Wadi Hagul, Eastern Desert, Egypt. Plants 2021, 10, 1906. https://doi.org/10.3390/plants10091906

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Bedair R, Ibrahim AA, Alyamani AA, Aloufi S, Ramadan S. Impacts of Anthropogenic Disturbance on Vegetation Dynamics: A Case Study of Wadi Hagul, Eastern Desert, Egypt. Plants. 2021; 10(9):1906. https://doi.org/10.3390/plants10091906

Chicago/Turabian Style

Bedair, Ramadan, Amira A. Ibrahim, Amal A. Alyamani, Salman Aloufi, and Samah Ramadan. 2021. "Impacts of Anthropogenic Disturbance on Vegetation Dynamics: A Case Study of Wadi Hagul, Eastern Desert, Egypt" Plants 10, no. 9: 1906. https://doi.org/10.3390/plants10091906

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Bedair, R., Ibrahim, A. A., Alyamani, A. A., Aloufi, S., & Ramadan, S. (2021). Impacts of Anthropogenic Disturbance on Vegetation Dynamics: A Case Study of Wadi Hagul, Eastern Desert, Egypt. Plants, 10(9), 1906. https://doi.org/10.3390/plants10091906

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