当前位置: X-MOL 学术Restor Ecol › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Vegetation restoration targeting approach to identify the optimum environmental conditions for the restoration of native desert plants using remote sensing and MaxEnt modeling
Restoration Ecology ( IF 2.8 ) Pub Date : 2021-05-27 , DOI: 10.1111/rec.13425
Naseraldeen Asadalla 1, 2 , Meshal M. Abdullah 2, 3 , Zahraa M. Al‐Ali 2 , Mansour T. Abdullah 2, 4
Affiliation  

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.

中文翻译:

利用遥感和 MaxEnt 建模确定植被恢复目标的方法,以确定恢复原生沙漠植物的最佳环境条件

在这项研究中,我们专注于将遥感技术和 MaxEnt 建模相结合,以开发一种恢复方法,以确定和排名热点,用于原生沙漠植物群落的重新植被和恢复规划。结果表明,原生沙漠群落适宜生境的分布因气候、生物气候、土壤和地形因素而异。Cyperus物种出现在深层松散的土壤中,而Rhanterium物种主要生长在石膏或钙质土壤中,这些土壤生长在含有薄砾石层的地区。CyperusHaloxylon等社区不受雨季的影响,由于它们能够在严酷和干旱的季节生长,因此适合恢复。在此基础上,设计了植被恢复方法,将地点划分为三类:社区管理点(一个社区合适的地点)、恢复地点(两个社区的合适地点)和优先恢复地点(多个社区的合适地点)。比三个社区)。有限的地点被列为优先恢复地点,因此必须将这些地点视为未来恢复和重新植被的最佳热点地点。我们得出的结论是,综合方法有助于开发详细的植被群落地图,根据几个环境因素对适宜栖息地进行排名,可用作恢复规划的生物指标。植被恢复方法也可用于区域尺度研究,以确定和排列重新植被和恢复规划的热点位置。
更新日期:2021-05-27
down
wechat
bug