Wadi Yalamlam is known as one of the significant wadis in the west of Saudi Arabia. It is a very important water source for the western region of the country. Thus, it supplies the holy places in Mecca and the surrounding areas with drinking water. The floristic composition of Wadi Yalamlam has not been comprehensively studied. For that reason, this work aimed to assess the wadi vegetation cover, life-form presence, chorotype, diversity, and community structure using temporal remote sensing data. Temporal datasets spanning 4 years were acquired from the Landsat 8 sensor in 2013 as an early acquisition and in 2017 as a late acquisition to estimate normalized difference vegetation index (NDVI) changes. The wadi was divided into seven stands. Stands 7, 1, and 3 were the richest with the highest Shannon index values of 2.98, 2.69, and 2.64, respectively. On the other hand, stand 6 has the least plant biodiversity with a Shannon index of 1.8. The study also revealed the presence of 48 different plant species belonging to 24 families. Fabaceae (17 %) and Poaceae (13 %) were the main families that form most of the vegetation in the study area, while many families were represented by only 2 % of the vegetation of the wadi. NDVI analysis showed that the wadi suffers from various types of degradation of the vegetation cover along with the wadi main stream.
The Kingdom of Saudi Arabia is a big desert with a land area of
approximately 2 250 000 km
Location of Wadi Yalamlam (Bahrawi et al., 2016).
The geographical location of Saudi Arabia between the surrounding continents
indicates the importance of the vegetation structure in the kingdom. Hence,
the flora contains different global elements such as the Palaearctic (located
in Asia and Europe), Afrotropical (located in Africa), and the Malayan–Indo
world (Ghazanfar, 2006). Saudi Arabia has three categories of plant
diversity: Sudano–Deccanian, Saharo–Sindian, and tropical Indian–African
(Alfarhan, 1999; Thomas et al., 2008). According to Collenette (1998), some
areas in Saudi Arabia like the Asir, Alhejaz, and the western mountains have
high floristic diversity. These mountain chains are near the Red Sea and they
have the greatest level of rainfall (Şen et al., 2017). The height of
these mountains reaches up to 2850 m. Some researchers have demonstrated
that the topography and climate of the area are affecting the level of
speciation (Abulfatih, 1992; El-Kady et al., 1995; Shaltout and Mady, 1996;
Shaltout et al., 1997). The flora of Saudi Arabia is reasonably well
identified at the taxonomic level. The species richness of the 15 protected
areas controlled by the National Commission for Wildlife Conservation and
Development, as well as many of the zones protected by the administration of
the Ministry of Agriculture, is somehow well documented in the work of Forbis
et al. (2006), but this was more than 10 years ago. The number of verified
species in Saudi Arabia is growing day by day based on recent field trips and
biodiversity studies. An example is that over 1500 species were recorded by
Migahid (1978) between the years 1974 and 1988. This number was raised to
2300 within a period of about 3 decades according to the accounts given in
the
The realization of the normalized difference vegetation index (NDVI) is a robust spectral index using the near-infrared (NIR) and red bands of both satellite and aerial multispectral imagery computed across scene pixels in time and space. The NDVI has been successful in monitoring and assessing vegetative cover as well as vegetation conditions (Van Leeuwen, 2008; Elhag, 2016a). The main purpose of NDVI applications is to distinguish between healthy and stressed vegetation in addition to forest type discrimination (Lambin, 1994; Rindfuss and Stern, 1998).
Therefore, the aim of the current research is to study the vegetation cover in Wadi Yalamlam from different aspects, such as species richness, life-form presence, and biodiversity in relation to habitat change in the study area. The normalized difference vegetation index has been conducted from temporal remote sensing data to assess the status of the vegetation cover within the designated study area over the last 4 years. Moreover, species diversity indices have been used to discriminate vegetation sets and to evaluate the relation between the vegetation aspects in the study area.
The location of Wadi Yalamlam is about 100 km south of Mecca city between
20
The climate of the Red Sea coast is usually stable as the weather is cold in
the winter season and warm in the summer. Based on the weather recorded, the
average maximum temperature is between 37 and 39
Samples were chosen along Wadi Yalamlam areas such as (Fig. 2)
upstream and midstream, downstream parts, and different wadi streams.
The study area was visited from the beginning of March 2015 to the end of
February 2016. Seven stands were randomly chosen in every area for the
current investigation during different growing seasons. The random selection
of stands was carried out according to de Vries (1986) with the stratified
random sampling technique.
Locations and samples were selected as an example of a large range of physiographic and environmental variability in every branch.
Sample plots were randomly selected using the relevé process in every site described by Mueller-Dombois and Ellenberg (1974).
The plots were
The plant cover of each taxon was estimated using the Zurich–Montpellier technique (Braun-Blanquet et al., 1965). The collected sample specimens were recognized according to Collenette (1999), Cope (1985), Rahman et al. (2004), and Chaudhary (1999, 2000).
Various indices have been developed for examining species richness in a region based on estimations of the relative abundance of the species derived from samples (Heip et al., 1998). Among these indices are the Shannon–Wiener information function (Lloyd et al., 1968), the Simpson's dominance index (Hunter and Gaston, 1988), the Margalef species richness index (Meurant, 2012), and the Pielou evenness index (Pielou, 1966). The first two were used in the current study due to the linkage between a common family of diversity indices and nonadditive statistical mechanics (Keylock, 2005).
The total number of species in Wadi Yalamlam.
The main principle of this index is that the diversity of a community is the
amount of data in a code. It is calculated as follows.
Simpson's approach for assessing species diversity evaluates the dominance of
a species relative to the number of species in a sample or population (Hunter
and Gaston, 1988). It is calculated as follows.
Predictive vegetation modeling is one of the commonly used
methods. It is described as “predicting the distribution of vegetation
across a landscape based on the relationship between the spatial distribution
of vegetation and certain environmental variables” (Franklin, 1995; Guisan
and Zimmermann, 2000). Concepts of spatial variations are obtained according
to the following equations.
The relationship between environment and vegetation could be associated with the observed connection or the hypothetical or investigational physiological limitations of diverse plant taxa. This relationship has been calculated using statistical methods. These statistical methods have gradually become more flexible to show what is known as a non-Gaussian species response curve (Heath and Smith, 1989).
The multispectral remote sensing data image was obtained from the United States Geological Survey (USGS). Landsat 8 images consist of nine spectral bands ranging from visible to thermal infrared with a spatial resolution of 30 m for bands from 1 to 7 and then 9. The resolution for the panchromatic band 8 is 15 m. Spectral bands are selectable across the range 435 to 1251 nm. The temporal datasets were acquired in April 2013 as an early date of acquisition and in April 2017 as a late date of acquisition (Path, 169; Row, 46).
Temporal datasets were preprocessed to maximize all possible reasons for data correction. Radiometric, geometric, and atmospheric corrections were made according to Vogelmann et al. (2001) and Elhag and Bahrawi (2017).
There are quite a few indices for defining vegetation behavior zones on a remote sensing imagery, one of which is the NDVI (Bhandari et al., 2012). It is a crucial and commonly used vegetation index. In addition, it is widely applied to research works related to climatic and global environmental changes (Bhandari et al., 2012). NDVI can be estimated as a ratio variance between measured canopy reflectance in the red and near-infrared bands, respectively (Elhag and Bahrawi, 2017). A schematic flowchart of the adopted methodology is illustrated in Fig. 3.
Methodological flowchart of remote sensing data analysis.
According to Jensen and Binford (2004), NDVI can be calculated as follows:
Floristic richness and diversity in the studied area.
Vegetation in the seven stands was represented by 48 species belonging to 24 families. The families Fabaceae and Poaceae were the richest (17 %), (13 %) followed by Zygophyllaceae (10 %), Cucurbitaceae (10 %) and Euphorbiaceae (6 %), Asclepiadaceae, Molluginaceae, Cleomaceae, Solanaceae, and Caryophyllaceae (4 %), and 14 families were represented by only (2 %) of the vegetation of the wadi (Figs. 4 and 5).
Many studies and comparisons of families involving a large number of species have been conducted for various regions of Saudi Arabia such as the Asir Mountains in Hosni and Hegazy (1996), Mosallam (2007) in the Taif area, Alatar et al. (2012) in the Al-Jufair Wadi, and Al-Turki and Al-Olayan (2003) in the Hail region. Similar studies have also been recorded outside the kingdom like in Egypt (El-Ghani and Abdel-Khalik, 2006; El-Ghani and El-Sawaf, 2004) and Jebel Marra in Sudan (Al-Sherif et al., 2013). The most famous plant species in Saudi Arabia belong to the families Fabaceae and Asteraceae (Migahid, 1978; Chaudhary, 1999; Rahman et al., 2004). Poaceae is the largest family listed by some researchers, but there are also other large families in the flora of Saudi Arabia (Collenette, 1999; AlNafie, 2008).
Stand 1 was the most diverse with about 28 different taxa, followed by stand 7 with about 22 different taxa because it is surrounded by and near the water dam. Stand 6 was the least diverse with seven taxa only.
It was observed that herbs dominated the vegetation of the study area (48 %), followed by shrubs (19%), grass (11 %) shrubs to trees (10 %), and subshrubs (6 %) (Fig. 6). The higher number of species belonged to herbs, followed by grasses, shrubs, and trees. These observations of many differences in vegetation cover composition and structure can be attributed to inundation, competition, and the environmental factors that might affect vegetation communities on the wadi (Lenssen et al., 1999; Zhang et al., 2005). The difference in density, frequency, and abundance between taxa might be attributed to variation in the habitat (Nardi et al., 2016).
Floristic diversity at the studied sites.
Plant growth forms in the study area.
Plant life-forms in the study area.
The life-form range of the study area showed a predominance of therophytes and chamaephytes, which constituted 31 % and 29 % of the total flora, respectively, followed by phanerophytes 19 %, while hemicryptophytes are 17 %. Then both geophytes and epiphytes represent 2 % of the total flora as shown in Fig. 7. The life-form spectrum in the study area is distinguished by an arid desert region with a dominance of therophytes. This result supports the theory of Cain (1950) and Deschenes (1969), which states that “dry climate, overgrazing, and trampling which is so prevalent on grasslands, tend to increase the percentage of therophytes through the introduction and spread of weedy grasses and forbs of this life-form”. Furthermore, the high percentage of therophytes could be also reflecting human activities as claimed by Barbero et al. (1990). Therophytes (annuals and biennials) are not unexpectedly recorded for 60 % of the overall taxa of the region. They generally bloom and form well-developed growth in the wadis and at the base of steady dunes, where water gathers after rain. Moreover, it is essential to specify that the dominance of both Fabaceae and therophytes in local flora can be an indicator of the relative index of disturbance for Mediterranean ecosystems (El-Ghani and Abdel-Khalik, 2006). These results are in agreement with the life-form scales among desert habitats in further parts of Saudi Arabia (El-Demerdash et al., 1994; Collenette, 1999; Chaudhary, 2000; Al-Turki and Al-Olayan, 2003; El-Ghanim et al., 2010; Alatar et al., 2012; Daur, 2012).
Species richness according to the Shannon index.
Species richness according to Simpson's index.
NDVI thematic change detection map within the study area.
The values of the Shannon index in the study area are as follows: 1.8 (stand 6), 2.20 (stand 4), up to 2.69 (stand 1), 2.64 (stand 3), and 2.98 (stand 7) (Fig. 8). Shannon index examination demonstrates a high species diversity. Typically, the Shannon index in real ecosystems ranges between 1.5 and 3.5 (MacDonald and MacDonald, 2003). The value rarely surpasses 4 (Margalef, 1972).
The value of the Simpson's index ranges from 0 to 1. With this index, 0 represents infinite diversity and 1 represents no diversity. That is, the bigger the value the lower the diversity (Hunter and Gaston, 1988). Simpson's results in the study area showed that the values of the index are 0.88 (stands 1, 5, and 6), 0.92 (stand 4), 0.94 (stand 3), 0.95 (stand 2), and 0.96 (stand 7) (Fig. 9). This means that stands 1, 5, and 6 have the highest biodiversity, while the lowest is stand 7.
The main life-forms are chamaephytes, phanerophytes, therophytes, hemicryptophytes, geophytes, and epiphytes.
The normalized difference vegetation index was used to evaluate the status of Wadi Yalamlam vegetation cover compared to data obtained 4 years ago (Fig. 10a, b). NDVI thematic change detection showed a decrease in vegetation cover (Fig. 11). Upper-stream areas of Wadi Yalamlam were the most fragile parts of the wadi basin due to anthropogenic activities (Bahrawi et al., 2016). The midstream section of Wadi Yalamlam showed no significant difference in vegetation cover. Such stability in vegetation cover is explained by the water availability in the midstream section due to its morphometric features (Elhag et al., 2017). The vegetation cover of the lower section of the Wadi Yalamlam basin was not abundant in either temporal dataset. The lower section has mainly alluvial deposits occurring frequently due to soil erosion (Elhag, 2016b; Bahrawi et al., 2016).
The current research focuses on species richness and species diversity in the designated study area due to its local importance as a major torrent of the holy Makkah region. The conducted field surveys in addition to the Shannon index examination demonstrate a high species diversity in different plant growth forms across the designated wadi system. Moreover, the spatial configuration of the vegetation cover in Wadi Yalamlam shows significant variation in terms of the normalized difference vegetation and species richness indices. The temporal analysis of the normalized difference vegetation index shows low values at the upper-stream section of the wadi, which requires immediate regulation to stop losing the species diversity. Consequently, restoration and rehabilitation schemes should be adopted in the upper-stream section of the wadi. Meanwhile, sediment transport should be regulated in the lower-stream section to allow the natural vegetation to succeed at the lower-stream section. As a recommendation, more investigations should be carried out to identify threatened plant species and to implement effective monitoring plans.
Data are freely access from the United States Geological Survey
(USGS) website at
ME (King Abdulaziz University) and AA (King Abdulaziz University) were responsible for the data analysis and wrote most of the paper. AH (Cairo University) proposed the project idea and participated in all the fieldwork, data analysis, and writing of the paper. HG (Assiut University) participated in the data analysis. NM (King Abdulaziz University) performed the data interpretation.
The authors declare that they have no conflict of interest.
This project was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant no. G-235-247-38. The authors therefore acknowledge and thank DSR for technical and financial support. Edited by: Nicola Masini Reviewed by: Silvena Boteva and three anonymous referees