Cited by 11Wildlife Conservation and Criminology AnalysesWildlife Ecology and ConservationSocioeconomics of Resources and Conservation

Hunting, Wildlife Trade and Wildlife Consumption Patterns in Asia

Bennett, Elizabeth L.·2007·Bushmeat and Livelihoods: Wildlife Management and Poverty Reduction

Abstract

This chapter contains section titled: Introduction Consumption of Wildlife in Asia Effects of Large-Scale Urban Trade Implications for Management Conclusions Acknowledgements

Integrity signals

Registry

Crossref · 10.1002/9780470692592.ch15

Cites

Statistics

Recomputing p-values needs the paper’s full text.

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Loss of forest wildlife to urban markets creates a food security problem for the most marginalized forest people, who cannot adapt easily to alternative sources of protein.

    “Loss of forest wildlife to urban markets creates a food security problem for the most marginalized forest people, who cannot adapt easily to alternative sources of protein (Bennett, ).”

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Authors
Bennett, E. L.
Corresponding author
Bennett, Elizabeth L.
Venue
Bushmeat and Livelihoods: Wildlife Management and Poverty Reduction
Publisher
Wiley
Published
2007-10-05
Pages
241-249
OpenAlex
W1499051631
Cited by
11
References
0
Citations by year
2025: 1 · 2023: 1 · 2021: 1 · 2019: 3 · 2016: 1 · 2015: 1 · 2014: 1 · 2012: 1
Type
other
Language
en
Open access
closed
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Wildlife Conservation and Criminology Analyses
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Socioeconomics of Resources and Conservation
Keywords
wildlife trade, wildlife consumption, hunting, wildlife management, Asia

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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