NDLI: The Spatial Distribution of Chacma Baboon (Papio ursinus) Habitat Based on an Environmental Envelope Model

Content Provider	Springer Nature Link
Author	Stone, Olivia M. L. Laffan, Shawn W. Cure, Darren Herries, Andy I. R.
Copyright Year	2013
Abstract	Predictive spatial modeling has become a key research tool for species distribution modeling where actual data are limited. Although qualitative maps and distribution descriptions for chacma baboons (Papio ursinus) are freely available, quantitative data are limited and do not provide the empirical information required to make informed decisions about issues such as population assessment, conservation, and management. Here we present the first quantitative, repeatable, and detailed predicted spatial distribution of the chacma baboon across southern Africa. Our distribution is at a finer level of detail than has previously been available. We used an environmental envelope model implemented within a geographic information system to achieve this. The model used environmental layers representing water availability, temperature and altitude, and model parameters determined from georeferenced observational data. The data extracted from the environmental layers suggest chacma baboons inhabit areas with mean minimum temperatures of the coolest month as low as −6.1 °C, mean maximum temperatures of the warmest month as high as 38.2 °C, mean annual rainfall up to 1,555 mm, and altitude up to 3,286 m. Our model demonstrates that the distribution of chacma baboons may be limited by temperature and rainfall, with the predicted northern extent of its range being temperature dependent. The model also implies that some areas well known for chacma baboon occupation today may in fact be marginal habitat. The resulting map highlights areas of suitable habitat in southern Africa. In addition, a linear “patchy” corridor was identified following the East African Rift Valley connecting the southern habitat with northeast Africa. We find the greatest proportion of suitable habitat to be located in South Africa. This modeling approach is generic and would be suitable to analyze other primate species across similar geographic extents.
Starting Page	407
Ending Page	422
Page Count	16
File Format	PDF
ISSN	01640291
Journal	International Journal of Primatology
Volume Number	34
Issue Number	2
e-ISSN	15738604
Language	English
Publisher	Springer US
Publisher Date	2013-03-20
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Chacma baboon Distribution Habitat Papio Southern Africa Evolutionary Biology Human Genetics Anthropology Zoology Animal Genetics and Genomics
Content Type	Text
Resource Type	Article
Subject	Animal Science and Zoology Ecology, Evolution, Behavior and Systematics

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