Davis, RS, Stone, EL, Gentle, LK ORCID: https://orcid.org/0000-0003-4864-5775, Mgoola, WO, Uzal, A ORCID: https://orcid.org/0000-0001-6478-1895 and Yarnell, RW ORCID: https://orcid.org/0000-0001-6584-7374, 2020. Spatial partial identity model reveals low densities of leopard and spotted hyaena in a miombo woodland. Journal of Zoology. ISSN 0952-8369
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Abstract
Decline in global carnivore populations has led to increased demand for assessment of carnivore densities in understudied habitats. Spatial capture–recapture (SCR) is used increasingly to estimate species densities, where individuals are often identi- fied from their unique pelage patterns. However, uncertainty in bilateral individual identification can lead to the omission of capture data and reduce the precision of results. The recent development of the two-flank spatial partial identity model (SPIM) offers a cost-effective approach, which can reduce uncertainty in individual identity assignment and provide robust density estimates. We conducted camera trap surveys annually between 2016 and 2018 in Kasungu National Park, Malawi, a primary miombo woodland and a habitat lacking baseline data on carnivore den- sities. We used SPIM to estimate density for leopard (Panthera pardus) and spotted hyaena (Crocuta crocuta) and compared estimates with conventional SCR methods. Density estimates were low across survey years, when compared to estimates from sub-Saharan Africa, for both leopard (1.9 0.19 SD adults/100 km2) and spotted hyaena (1.15 0.42 SD adults/100 km2). Estimates from SPIM improved precision compared with analytical alternatives. Lion (Panthera leo) and wild dog (Lycaon pictus) were absent from the 2016 survey, but lone dispersers were recorded in 2017 and 2018, and both species appear limited to transient individuals from within the wider transfrontier conservation area. Low densities may reflect low car- rying capacity in miombo woodlands or be a result of reduced prey availability from intensive poaching. We provide the first leopard density estimates from Malawi and a miombo woodland habitat, whilst demonstrating that SPIM is benefi- cial for density estimation in surveys where only one camera trap per location is deployed. The low density of large carnivores requires urgent management to reduce the loss of the carnivore guild in Kasungu National Park and across the wider transfrontier landscape.
Item Type: | Journal article |
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Publication Title: | Journal of Zoology |
Creators: | Davis, R.S., Stone, E.L., Gentle, L.K., Mgoola, W.O., Uzal, A. and Yarnell, R.W. |
Publisher: | Wiley |
Date: | 19 October 2020 |
ISSN: | 0952-8369 |
Identifiers: | Number Type 10.1111/jzo.12838 DOI 1379057 Other |
Rights: | © 2020 The Authors. Journal of Zoology published by John Wiley & Sons Ltd on behalf of Zoological Society of London. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Divisions: | Schools > School of Animal, Rural and Environmental Sciences |
Record created by: | Linda Sullivan |
Date Added: | 20 Oct 2020 11:53 |
Last Modified: | 31 May 2021 15:15 |
URI: | https://irep.ntu.ac.uk/id/eprint/41366 |
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