Bonnin, N, Stewart, FA, Wich, SA, Pintea, L, Jantz, S, Dickson, R, Bellis, J, Chitayat, A, Ingram, R, Moore, R and Piel, A (2020) Modelling landscape connectivity change for chimpanzee conservation in Tanzania. Biological Conservation, 252. ISSN 0006-3207

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Abstract

Chimpanzees, like all great ape species, have experienced a dramatic decline in global numbers during the past decades. The degradation, fragmentation and loss of suitable habitat impede chimpanzee movements, reducing the potential for dispersal and thus population viability. In Tanzania, 90% of the 2 000-3 000 remaining chimpanzees are found within the Greater Mahale Ecosystem (GME), the majority of which live at low densities outside of national park boundaries. Recent genetic analyses have identified potential boundaries between the northern and southern populations of the GME. Using landscape connectivity modelling, we aimed to clarify population connectivity across this vast ecosystem (>20 000 km2 ) and assess change over time. We developed habitat suitability models to create an index of habitat selection by chimpanzees and mapped connectivity using circuit theory. Our results suggest that, in recent history (1973), the entire ecosystem was linked by a series of corridors showing a high likelihood of chimpanzee movement. Our analysis also reveals a reduction of connectivity by 2017 impacting the two corridors linking the northern and southern GME. When projected to 2027, areas contributing to connectivity are predicted to continue to decline, threatening all available corridors between the northern and southern GME. By modelling connectivity across time, we were able to identify key areas to focus conservation efforts to maintain population viability within the largest chimpanzee population in Tanzania.

Item Type:	Article
Uncontrolled Keywords:	05 Environmental Sciences, 06 Biological Sciences, 07 Agricultural and Veterinary Sciences
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QL Zoology
Divisions:	Biological & Environmental Sciences (from Sep 19)
Publisher:	Elsevier
Date Deposited:	22 Oct 2020 11:51
Last Modified:	08 Dec 2023 13:48
URI:	https://researchonline.ljmu.ac.uk/id/eprint/13890

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