Vegetation restoration targeting approach to identify the optimum environmental conditions for the restoration of native desert plants using remote sensing and MaxEnt modeling

摘要

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.