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An application of geographic information systems to model the habitat suitability of Pan troglodytes ellioti in Mount Cameroon National Park in the context of a changing global climate

Journal of Agriculture and Environment for International Development

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Title An application of geographic information systems to model the habitat suitability of Pan troglodytes ellioti in Mount Cameroon National Park in the context of a changing global climate
 
Creator Mwambo, Francis Molua
Cabral, Pedro
 
Description As scientists continue to discover convincing evidence that the earth’s climate is adversely changing, and that these changes could impact the habitat suitability of some wildlife species; wildlife conservationists are increasingly worried of what may become the fate of most species on earth. In the light of such uncertainty, geographic information systems (GIS) can be used as a tool to model for the habitat suitability of a species. Such modeling provides reliable information upon which decision making could be based for planning conservation management aimed at protecting areas that are currently suitable as well as those that may become suitable in future if the global climate changes according to the scenarios as described; and the changes impact the species’ habitat suitability. GIS in combination to Maximum Entropy (MaxEnt) distribution model were used to model the habitat suitability for Pan troglodytes ellioti on Mount Fako (Cameroon) as a case study area. The results show that the predicted habitat suitability may shift from lower altitudes to higher altitudes as the global climate may change from the current climatic conditions to warmer climatic conditions in the future as proposed in the climate scenario that assumes the concentration of carbon dioxide and other greenhouse gases may double by 2050. The accuracy assessment measured in terms of the Area Under the Curve (AUC) was 0.699.
 
Publisher Italian Agency for Development Cooperation
 
Contributor European Commission, for Erasmus Mundus Scholarship, M.Sc. in Geospatial Technologies, Project No.2007–0064
Lawrence Nsoyuni (MCP, Limbe Botabnic Garden)
& Eno N. Manasseh (WWF Office Limbe-Cameroon for data on landcover & species presense respectively
 
Date 2014-06-18
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://www.iao.florence.it/ojs/index.php/JAEID/article/view/202
10.12895/jaeid.20141.202
 
Source Journal of Agriculture and Environment for International Development; Vol 108, No 1 (2014); 63-79
Journal of Agriculture and Environment for International Development (JAEID); Vol 108, No 1 (2014); 63-79
2240-2802
1590-7198
 
Language eng
 
Relation http://www.iao.florence.it/ojs/index.php/JAEID/article/view/202/130
 
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