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Science deficiency in conservation practice: the monitoring of tiger populations in India

Science deficiency in conservation practice: the monitoring of tiger populations in India Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census‐based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling‐based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Animal Conservation Wiley

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References (46)

Publisher
Wiley
Copyright
"Copyright © 2003 Wiley Subscription Services, Inc., A Wiley Company"
ISSN
1367-9430
eISSN
1469-1795
DOI
10.1017/S1367943003003184
Publisher site
See Article on Publisher Site

Abstract

Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census‐based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling‐based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement.

Journal

Animal ConservationWiley

Published: May 1, 2003

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