Photographic capture-recapture modeling for estimation stray animal population: a pilot study
<b>Aim:</b> Capture and recapture is a commonly used method to estimate an animal population's size. The main purpose of this study was to introduce the Schumacher-Eschmeyer method, one of the capture and recapture methods which is used to determine the size of a closed population,...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Selcuk University Press
2020-12-01
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Series: | Eurasian Journal of Veterinary Sciences |
Subjects: | |
Online Access: | http://eurasianjvetsci.org/pdf.php3?id=1338 |
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Summary: | <b>Aim:</b> Capture and recapture is a commonly used method to estimate an animal population's
size. The main purpose of this study was to introduce the Schumacher-Eschmeyer
method, one of the capture and recapture methods which is used to determine
the size of a closed population, with an application in a pilot area.<p>
<b>Materials and Methods:</b> A predetermined route was used to collect data at Campus
of Ankara University, Faculty of Veterinary Medicine and animals were counted at five
different visiting times. Photos of animals were taken for marking purposes in each
visiting time and archived. The data about total captured animals, animals of which
recaptured and unmarked animals were collected for each visiting times. Obtained
data was calculated using Schumacher-Eschmeyer calculation index.<p>
<b>Results:</b> In the study, a total of 50 cats and 49 dogs were recorded on the route, which
was observed for 5 days. As a result of each sampling period, the stray cat population
in the campus was estimated as 41 (95% CI: 34-52) and the stray dog population as
28 (95% CI: 24-34) using the Schumacher-Eschmeyer method.<p>
<b>Conclusion: </b>The Schumacher-Eschmeyer model stands out as a practical method
that can be used in the estimation of unknown populations when appropriate marking
methods are used, the closed population assumption is provided and when more
than two counts are performed. |
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ISSN: | 1309-6958 2146-1953 |