Trends in species distribution modelling in context of rare and endemic plants:a systematic review

作     者：Ammad Waheed Qazi Zafeer Saqib Muhammad Zaman‑ul‑Haq Ammad Waheed Qazi;Zafeer Saqib;Muhammad Zaman-ul-Haq

作者机构：Department of Environmental ScienceInternational Islamic University IslamabadIslamabad 46000Pakista 

出 版 物：《Ecological Processes》 (生态过程（英文）)

年 卷 期：2022年第11卷第1期

页      面：525-535页

核心收录：

学科分类：0710[理学-生物学] 071001[理学-植物学] 07[理学] 

主　　题：Species distribution modelling Endemic Rare Uncertainty measures Model validation 

摘      要：Background:Many research papers have utilized Species Distribution Models to estimate a species’current and future geographic distribution and environmental *** study aims to(a)understand critical features of SDMs used to model endemic and rare species and(b)to identify possible constraints with the collected *** present systematic review examined how SDMs are used on endemic and rare plant species to identify optimal practices for future ***:The evaluated literature(79 articles)was published between January 2010 and December *** number of papers grew considerably over *** studies were primarily conducted in Asia(41%),Europe(24%),and Africa(2%).The bulk of the research evaluated(38%)focused on theoretical ecology,climate change impacts(19%),and conservation policy and planning(22%).Most of the papers were published in publications devoted to biodiversity conservation,ecological or multidisciplinary *** degree of uncertainty was not disclosed in most studies(81%).Conclusion:This systematic review provides a broad overview of the emerging trends and gaps in the SDMs *** majority of studies failed to present uncertainties and error ***,when model performance estimates are given,the model results will be highly effective,allowing for more assurance in the predictions they ***,based on our systematic review,we recommend that in the future rare and endemic SDMs should represent uncertainty levels and estimates of errors in the modelling process.