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Predators and people: conservation of large carnivores is possible at high human densities if management policy is favourable

Linnell, John D. C., Swenson, Jon E., Anderson, Reidar·2001·Animal Conservation

Abstract

In a recent analysis Woodroffe (2000) found a positive relationship between historical patterns of large carnivore extinction probability and human population density. However, much of the data in this analysis came from a period when carnivore extermination was a management objective. In order to explore the hypothesis that large carnivores can persist at high human densities when the management regime is more favourable we have repeated the analysis using up-to-date data from North America and Europe. In North America we found that large carnivore populations have increased after favourable legislation was introduced, despite further increases in human population density. In Europe we found no clear relationship between present carnivore distribution and human population density. We therefore believe that the existence of effective wildlife management structures is more important than human density per se.

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Metadata

Authors
Linnell, J. D. C., Swenson, J. E., & Anderson, R.
Venue
Animal Conservation
Published
2001-11
Volume
4
Issue
4
Pages
345-349
ISSN
1367-9430 (ISSN-L)
OpenAlex
W2081709856
Cited by
502
References
0
FWCI
6.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predators and people: conservation of large carnivores is possible at high human densities if management policy is favourable. https://app.cochat.ai/papers/10.1017/s1367943001001408
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Linnell, J. D. C., Swenson, J. E., & Anderson, R. (2001). Predators and people: conservation of large carnivores is possible at high human densities if management policy is favourable. Animal Conservation. https://doi.org/10.1017/s1367943001001408

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.