Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/19671
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dc.contributor.authorHickey, Jena R-
dc.contributor.authorNackoney, Janet-
dc.contributor.authorNibbelink, Nathan P-
dc.contributor.authorBlake, Stephen-
dc.contributor.authorBonyenge, Aime-
dc.contributor.authorCoxe, Sally-
dc.contributor.authorDupain, Jef-
dc.contributor.authorEmetshu, Maurice-
dc.contributor.authorFuruichi, Takeshi-
dc.contributor.authorGrossmann, Falk-
dc.contributor.authorGuislain, Patrick-
dc.contributor.authorHart, John-
dc.contributor.authorHashimoto, Chie-
dc.contributor.authorIkembelo, Bernard-
dc.contributor.authorMaisels, Fiona-
dc.date.accessioned2017-11-22T00:06:13Z-
dc.date.issued2013-12-
dc.identifier.urihttp://hdl.handle.net/1893/19671-
dc.description.abstractHabitat 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.en_UK
dc.publisherSpringer-
dc.relationHickey 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.-
dc.rightsThe 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.-
dc.subjectBonoboen_UK
dc.subjectDistributionen_UK
dc.subjectFragmentationen_UK
dc.subjectHabitaten_UK
dc.subjectHuntingen_UK
dc.subjectIUCN/SSC A.P.E.S. databaseen_UK
dc.subjectPan paniscusen_UK
dc.titleHuman proximity and habitat fragmentation are key drivers of the rangewide bonobo distributionen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.identifier.doihttp://dx.doi.org/10.1007/s10531-013-0572-7-
dc.citation.jtitleBiodiversity and Conservation-
dc.citation.issn0960-3115-
dc.citation.volume22-
dc.citation.issue13-14-
dc.citation.spage3085-
dc.citation.epage3104-
dc.citation.publicationstatusPublished-
dc.type.statusPublisher version (final published refereed version)-
dc.author.emailboo.maisels@stir.ac.uk-
dc.description.notesAdditional 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. Kühlen_UK
dc.contributor.affiliationCornell University-
dc.contributor.affiliationUniversity of Maryland-
dc.contributor.affiliationUniversity of Georgia-
dc.contributor.affiliationMax Planck Institute for Ornithology-
dc.contributor.affiliationWildlife Conservation Society, Africa-
dc.contributor.affiliationBonobo Conservation Initiative-
dc.contributor.affiliationAfrican Wildlife Foundation-
dc.contributor.affiliationWildlife Conservation Society, Africa-
dc.contributor.affiliationKyoto University-
dc.contributor.affiliationWildlife Conservation Society, Africa-
dc.contributor.affiliationZoological Society of Milwaukee, USA-
dc.contributor.affiliationLukuru Foundation-
dc.contributor.affiliationKyoto University-
dc.contributor.affiliationWildlife Conservation Society, Africa-
dc.contributor.affiliationWildlife Conservation Society, Africa-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
dc.identifier.isi000327395300006-
Appears in Collections:Biological and Environmental Sciences Journal Articles

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