Green water is primarily associated with the appearance of annual plants and plays a significant role in biomass production in both arid and semi-arid ecosystems. Herein, we aim to estimate the ...optimal threshold for determining the presence or absence of annual plants and use them as an ecological indicator to assess potential green water areas in Kuwait as a case study. We integrate remote sensing techniques and MaxEnt modeling. The AUC for the annual plant distribution with all examined factors is 0.847, and the standard deviation is 0.050. The results demonstrated that potential locations with high levels of green water cover <20% of the country. The annual plant distribution was significantly correlated with several types of perennial plants, maximum temperature, precipitation, and sandy soils. It was also found that annual plants are controlled by the spring and winter temperature decline and the timing of precipitation occurrence, especially the pattern and amount of rainfall received in November. Sandy loam and loam soils were found to be ideal for annual plants, although land depressions and soil types are crucial factors in determining annual plant distribution. Additionally, annual plants enhanced the growth of several perennial communities. To reiterate, our study's model helped to comprehend the significance of annual plants as an ecological indicator in sustaining soil moisture over a prolonged period, as well as factors controlling the distribution of annual plants. The developed model and indicators could support decision-makers in determining appropriate locations with adequate levels of green water for revegetation planning in arid landscapes.
•The distribution of annual plants, suitable soils, and green water are significantly interconnected.•Machine learning techniques are useful for selecting suitable locations for revegetation.•Revegetation of native plants could help grazing pastures to enhance food security.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
In this study, we focused on integrating remote sensing techniques and MaxEnt modeling to develop a restoration approach to determine and rank hotspots for revegetation and restoration planning of ...native desert plant communities. The results showed that the distribution of suitable habitats for native desert communities varied according to climatic, bioclimatic, soil, and topographic factors. Cyperus species occur in deep loose soil, while Rhanterium species predominate on gypsums or calcareous soils growing in areas that contain a thin layer of gravel. Communities such as Cyperus and Haloxylon were not influenced by the wet seasons, making them suitable for restoration because of their resiliency to grow under harsh and drought seasons. Based on the results, a vegetation restoration approach was designed, which classifies the locations into three categories: community management sites (appropriate sites for one community), restoration sites (appropriate sites for two communities), and prioritized restoration sites (appropriate sites for more than three communities). Limited sites were ranked as prioritized restoration sites, making it essential to consider these locations as optimum hotspot sites for future restoration and revegetation. We concluded that the integrated approach helped develop a detailed vegetation community map that ranked suitability habitats based on several environmental factors, which could be used as biological indicators for restoration planning. The vegetation restoration approach is also functional for regional‐scale studies to identify and rank hotspot locations for revegetation and restoration planning.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
This research was conducted in four sites at Mahazat as-Sayd reserve in Saudi Arabia to determine the optimum habitats’ constituents for Asian houbara bustard Chlamydotis macqueenii via assessing ...abiotic and biotic factors with special reference to vegetation aspects. Vegetative parameters were quantified using combinations of distance and line intercept methods. Acquired data were analyzed using cluster analysis and analysis of variance tests. Results indicated that three of the four plant communities of the study sites were dominated by Acacia tortilis with underground cover composed of lesser species. On the other hand, White Jabal was dominated by scrubs composed mainly of Fagonia indica with sparse Acacia trees. Rumrumiyya site recorded the highest species abundance and vegetative coverage (133%) among the sites. It is concluded that Black Jabal and White Jabal sites are used as nesting and foraging habitats for houbaras, whereas Jabal Khurse is specifically a males’ display site. Nevertheless, Rumrumiyya site was used for foraging and shelter. The study confirmed that density and vegetation cover are of prime importance for houbara site selection. However, other factors affecting feeding and behavior of the species must be considered in further studies.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
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