Using species distribution models to assess the importance of Egypt's protected areas for the conservation of medicinal plants

被引:56
|
作者
Kaky, Emad [1 ]
Gilbert, Francis [1 ]
机构
[1] Univ Nottingham, Sch Life Sci, Univ Pk, Nottingham NG7 2RD, England
关键词
MaxEnt; Egypt; Ecosystem services; Conservation; CLIMATE-CHANGE; PERFORMANCE; PRIORITIZATION; BIODIVERSITY; PREDICTION; RICHNESS; ACCURACY; PATTERNS; REPTILES; NETWORK;
D O I
10.1016/j.jaridenv.2016.09.001
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Human activities affect the distribution and abundance of plants, with impacts on ecosystem services and human well-being; it is thus vital that a network of Protected Areas is capable of conserving plants that are useful. Using the species distribution (SDM) model algorithm MaxEnt, we tested whether Egypt's network of Protected Areas performs well in conserving the region's important medicinal plant species. We constructed individual SDMs for each species, and then combined the models into a single 'species-richness' layer, which we then compared to the distribution of the existing Protected Areas. Temperature was the most important of eleven predictor variables used to build the SDMs. Assuming the SDM's prediction of suitable habitat was accurate and corresponded to the occurrence of the medicinal plant species, then on average species richness was, significantly higher within than outside the Protected Areas. Based on our findings, Egypt's Protected Areas are effective at conserving its medicinal plants. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:140 / 146
页数:7
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