UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Using dogs to find cats: detection dogs as a survey method for wide-ranging cheetah

Becker, MS; Durant, SM; Watson, FGR; Parker, M; Gottelli, D; M'Soka, J; Droge, E; ... Brummer, R; + view all (2017) Using dogs to find cats: detection dogs as a survey method for wide-ranging cheetah. Journal of Zoology , 302 (3) pp. 184-192. 10.1111/jzo.12445. Green open access

[img]
Preview
Text
Durant_Becker et al_Detection Dog Surveys for Cheetah Final accepted version.pdf - ["content_typename_Accepted version" not defined]

Download (525kB) | Preview

Abstract

Rapid global large carnivore declines make evaluations of remaining populations critical. Yet landscape-scale evaluations of presence, abundance and distribution are difficult, as many species are wide-ranging, occur only at low densities and are elusive. Insufficient information-gathering tools for many large carnivore species compounds these challenges. Specially trained detection dogs have demonstrated effectiveness for carnivore surveys, but are untested on extremely sparse, wide-ranging species, such as cheetah Acinonyx jubatus. In this study, we conducted the first rigorous cheetah survey using detection dogs in a key transboundary area in the remote Liuwa–Mussuma Transfrontier Conservation Area (TFCA) in Western Zambia. We proposed to (1) evaluate the effectiveness of detection dog versus spoor surveys in detecting cheetah presence; (2) extract and analyze DNA from scat samples to estimate minimum population size and genetic effective population size; (3) determine the extent of cheetah occurrence in the unprotected transboundary corridor. Two detection dog teams surveyed 2432 km2 containing 74 randomly located transects in the transfrontier area. Twenty-seven cheetah scats were detected and confirmed by genetic analysis, while no cheetah spoor was detected, clearly demonstrating the superiority of detection dogs in detecting cheetah presence. Combining scat samples with opportunistically collected samples, we estimated 17–19 cheetahs, an effective population size of 8–14 and a density of 5.9–6.6 per 1000 km2. Cheetah utilized key transfrontier areas outside of the national park; however, because utilization appears low, improved connectivity and protection for these areas are critical. Approximately one third of Africa's estimated cheetah resides in protected areas, with 87% in transboundary areas. Our study demonstrates the efficacy of detection dog survey methods in providing information on cheetah across large landscapes. It will have particular value in areas where other survey means may be impossible, such as TFCAs, where size, remoteness and lack of accessibility often make traditional survey methods difficult or cost prohibitive.

Type: Article
Title: Using dogs to find cats: detection dogs as a survey method for wide-ranging cheetah
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/jzo.12445
Publisher version: http://doi.org/10.1111/jzo.12445
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Cheetah; Acinonyx jubatus; detection dogs; Liuwa plain; carnivores; survey methods
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: http://discovery.ucl.ac.uk/id/eprint/1546173
Downloads since deposit
74Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item