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Cited by 890

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Natural Connections: Perspectives in Community-Based Conservation

Schabel, Hans G., Western, D., Wright, R. M.·1996·The Journal of Wildlife Management

Abstract

Both realism and justice demand that efforts to conserve biological diversity address human needs as well. The most promising hope of accomplishing such a goal lies in locally based conservation efforts -- an approach that seeks ways to make local communities the beneficiaries and custodians of conservation efforts.Natural Connections focuses on rural societies and the conservation of biodiversity in rural areas. It represents the first systematic analysis of locally based efforts, and includes a comprehensive examination of cases from around the world where the community-based approach is used. The book provides: an overview of community-based conservation in the context of the debate over sustainable development, poverty, and environmental decline case studies from the developed and developing worlds -- Indonesia, Peru, Australia, Zimbabwe, Costa Rica, the United Kingdom -- that present detailed examples of the locally based approach to conservation a review of the principal issues arising from community-based programs an agenda for future action

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Metadata

Authors
Schabel, H. G., Western, D., & Wright, R. M.
Venue
The Journal of Wildlife Management
Publisher
JSTOR
Published
1996-07
Volume
60
Issue
3
Pages
690
ISSN
0022-541X (ISSN-L)
OpenAlex
W2372888557
Cited by
890
References
0
FWCI
40.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Natural Connections: Perspectives in Community-Based Conservation. https://app.cochat.ai/papers/10.2307/3802091
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Schabel, H. G., Western, D., & Wright, R. M. (1996). Natural Connections: Perspectives in Community-Based Conservation. The Journal of Wildlife Management. https://doi.org/10.2307/3802091

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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.