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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/2734

Título: Human and climatic change impact modelling on the habitat suitability for the chimpanzee (Pan troglodytes ellioti) – Case study: The proposed Mount Cameroon National Park
Autor: Mwambo, Francis Molua
Orientador: Cabral, Pedro
Caetano, Mário
Mahiques, Jorge Mateu
Pebesma, Edzer
Palavras-chave: Chimpanzee subspecies (Pan troglodytes ellioti)
Climate change
Endangered primate species
Habitat suitability
Human impact
Maximum entropy species distribution (maxent) model
Mount Cameroon National Park
Spatial modelling
Issue Date: 2-Mar-2010
Relatório da Série N.º: Master of Science in Geospatial Technologies;TGEO0032
Resumo: The prediction of species' distribution is fundamental to many applications in ecology, wildlife conservation and the science of evolution. Variations in the abundance within a species' geographic range provide the connection between the disciplines of ecology, geostatistics and biogeography. Species predictive modelling is quite intricate considering the spatial and aspatial variables that both play interactive roles in predicting a species' occurrence. Like many primates across Africa, Pan troglodytes ellioti has both the least geographic distribution and population relative to the other chimpanzee subspecies continent wide. With the proposed Mount Cameroon National Park as the study area, predictions displayed as maps further enhance spatial visualisation. Predictions in Maxent had an estimated accuracy assessment of approximately 0.7 and 67.41% being currently suitable respectively. The observed shift in the habitat suitability from lower to higher altitudes suggests climatic conditions prevailing in the suitable range will likely be attainable only at much higher altitudes in the future. A likely consequence on species shall be to ascend towards the summit in order to meet their needs both physiologically and resource wise.
Descrição: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
URI: http://hdl.handle.net/10362/2734
Appears in Collections:NIMS - MSc Dissertations Geospatial Technologies (Erasmus-Mundus)

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