Literature DB >> 27924422

Spatial Overlap Between People and Non-human Primates in a Fragmented Landscape.

Sarah B Paige1, Johanna Bleecker2, Jonathan Mayer3, Tony Goldberg4,5.   

Abstract

In western Uganda, the landscape surrounding Kibale National Park (KNP) contains households, trading centers, roads, fields, and forest fragments. The mosaic arrangement of these landscape features is thought to enhance human-primate interaction, leading to primate population declines and increased bi-directional disease transmission. Using a social-ecological systems research framework that captures the complexity of interaction among people, wildlife, and environment, we studied five forest fragments near KNP and conducted intensive on-the-ground mapping to identify locations of human-primate spatial overlap. Primate locations and human activities were distributed within, on the edges, and far beyond fragment borders. Analysis of shared spaces indicated that 5.5% of human space overlapped with primate spaces, while 69.5% of primate spaces overlapped with human spaces. Nearest neighbor analysis indicated that human activities were significantly spatially clustered within and around individual fragments, as were primate locations. Getis-Ord statistics revealed statistically significant "hotspots" of human activity and primate activity, but only one location where spatial overlap between humans and primates was statistically significant. Human activities associated with collecting fuelwood and other forest products were the primary drivers of human-primate overlap; however, primates also spent time outside of forest fragments in agricultural spaces. These results demonstrate that fragmented landscapes are not uniform with respect to human-primate overlap, and that the implications of human-primate interaction, such as primate population declines and possible cross-species disease transmission, are spatially aggregated.

Entities:  

Keywords:  Spatial analysis; Uganda; forest fragments; human–primate interaction; one Health; social-ecological systems

Mesh:

Year:  2016        PMID: 27924422     DOI: 10.1007/s10393-016-1194-9

Source DB:  PubMed          Journal:  Ecohealth        ISSN: 1612-9202            Impact factor:   3.184


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