4.6 Article

Modeling endangered mammal species distributions and forest connectivity across the humid Upper Guinea lowland rainforest of West Africa

Journal

BIODIVERSITY AND CONSERVATION
Volume 28, Issue 3, Pages 671-685

Publisher

SPRINGER
DOI: 10.1007/s10531-018-01684-6

Keywords

Conservation; African forest elephant; Western chimpanzee; Pygmy hippopotamus; Protected area connectivity; Ecological niche modeling

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Species distribution data provide critical baseline information for conservation planning and decision making. However, in many of the Earth's most biodiverse regions, such data are lacking for many species. Here, we used ecological niche modeling and connectivity analyses to model distributions of endangered species and protected area connectivity across the Upper Guinea Forest (UGF) Global Conservation Hotspot of West Africa. We estimated the current distributions of African forest elephant Loxodonta cyclotis (Vulnerable), western chimpanzee Pan troglodytes verus (Critically Endangered), and pygmy hippopotamus Choeropsis liberiensis (Endangered) across the region and optimized connectivity in two main forest complexes in the region. We used occurrence data for the period 2010-2016 for the three species from two well-sampled national parks in Liberia (Sapo National Park and Gola National Park), and remotely sensed MODIS enhanced vegetation index data for the period 2010-2015. Our models predicted a total of 75,157km(2) of suitable habitat for chimpanzees in the region, 79,400km(2) for elephants, and 290,696km(2) for hippos. Of these areas, for chimpanzees, 30% of the area predicted falls within the boundaries of proposed or designated protected areas, and likewise 30% for elephants, and 19% for hippos. Liberia had the largest blocks of contiguous forest suitable for these species compared to other countries in the region but this forest was largely unprotected. This study identifies priority areas for biodiversity conservation and forest connectivity in the region, and reemphasizes the practicality of these tools to optimize conservation planning and implementation.

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