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Appears in Collections:Biological and Environmental Sciences Journal Articles
Title: Human proximity and habitat fragmentation are key drivers of the rangewide bonobo distribution
Authors: Hickey, Jena R
Nackoney, Janet
Nibbelink, Nathan P
Blake, Stephen
Bonyenge, Aime
Coxe, Sally
Dupain, Jef
Emetshu, Maurice
Furuichi, Takeshi
Grossmann, Falk
Guislain, Patrick
Hart, John
Hashimoto, Chie
Ikembelo, Bernard
Maisels, Fiona
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Keywords: Bonobo
IUCN/SSC A.P.E.S. database
Pan paniscus
Issue Date: Dec-2013
Publisher: Springer
Citation: Hickey JR, Nackoney J, Nibbelink NP, Blake S, Bonyenge A, Coxe S, Dupain J, Emetshu M, Furuichi T, Grossmann F, Guislain P, Hart J, Hashimoto C, Ikembelo B & Maisels F (2013) Human proximity and habitat fragmentation are key drivers of the rangewide bonobo distribution, Biodiversity and Conservation, 22 (13-14), pp. 3085-3104.
Abstract: Habitat loss and hunting threaten bonobos (Pan paniscus), Endangered (IUCN) great apes endemic to lowland rainforests of the Democratic Republic of Congo. Conservation planning requires a current, data-driven, rangewide map of probable bonobo distribution and an understanding of key attributes of areas used by bonobos. We present a rangewide suitability model for bonobos based on a maximum entropy algorithm in which data associated with locations of bonobo nests helped predict suitable conditions across the species' entire range. We systematically evaluated available biotic and abiotic factors, including a bonobo-specific forest fragmentation layer (forest edge density), and produced a final model revealing the importance of simple threat-based factors in a data poor environment. We confronted the issue of survey bias in presence-only models and devised a novel evaluation approach applicable to other taxa by comparing models built with data from geographically distinct sub-regions that had higher survey effort. The model's classification accuracy was high (AUC = 0.82). Distance from agriculture and forest edge density best predicted bonobo occurrence with bonobo nests more likely to occur farther from agriculture and in areas of lower edge density. These results suggest that bonobos either avoid areas of higher human activity, fragmented forests, or both, and that humans reduce the effective habitat of bonobos. The model results contribute to an increased understanding of threats to bonobo populations, as well as help identify priority areas for future surveys and determine core bonobo protection areas.
Type: Journal Article
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Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Notes: Additional co-authors: Omari Ilambu; Bila-Isia Inogwabini; Innocent Liengola; Albert Lotana Lokasola; Alain Lushimba; Joel Masselink; Valentin Mbenzo; Norbert Mbangia Mulavwa; Pascal Naky; Nicolas Mwanza Ndunda; Pele Nkumu; Valentin Omasombo; Gay Edwards Reinartz; Robert Rose; Tetsuya Sakamaki; Samantha Strindberg; Hiroyuki Takemoto; Ashley Vosper; Hjalmar S. Kühl
Affiliation: Cornell University
University of Maryland
University of Georgia
Max Planck Institute for Ornithology
Wildlife Conservation Society (Africa Program)
Bonobo Conservation Initiative
African Wildlife Foundation
Wildlife Conservation Society (Africa Program)
Kyoto University
Wildlife Conservation Society (Africa Program)
Zoological Society of Milwaukee, USA
Tshuapa-Lomami-Lualaba Project
Kyoto University
Wildlife Conservation Society (Africa Program)
Wildlife Conservation Society (Africa Program)

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