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Mapping habitat and biological diversity in the Maasai Mara ecosystem

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dc.contributor.author BO Oindo, AK Skidmore, P De Salvo
dc.date.accessioned 2020-08-20T07:40:05Z
dc.date.available 2020-08-20T07:40:05Z
dc.date.issued 2003-01-01
dc.identifier.uri https://repository.maseno.ac.ke/handle/123456789/2210
dc.description.abstract There is need to identify ecosystems that support richer assemblages of biological species in order to preserve habitats and protect the greatest number of species. Remotely sensed data hold tremendous potential for mapping species habitats and indicators of biological diversity, such as species richness. Landscape level habitat analysis using remotely sensed data and Geographical Information Systems (GIS) has the potential to aid in explaining species richness patterns at fine-scale resolutions. We used Landsat Thematic Mapper (TM) image and GIS as well as field data to classify habitat types in the Maasai Mara ecosystem, Kenya. The accuracy of the resulting habitat map was assessed and indices of habitat diversity computed. We then determined the relationship between large mammal species richness and habitat diversity indices, and investigated whether this relationship is sensitive to changes in en_US
dc.publisher Taylor & Francis Group en_US
dc.subject biological diversity, mammalian diversity en_US
dc.title Mapping habitat and biological diversity in the Maasai Mara ecosystem en_US
dc.type Article en_US


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