The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Use of Traditional Ecological Knowledge in Marine Conservation
Open accessAbstract
Abstract: Traditional ecological knowledge (TEK) represents multiple bodies of knowledge accumulated through many generations of close interactions between people and the natural world. TEK and its application via customary ecological management plans can be useful in modern conservation programs. I disaggregate the term TEK into its constituent parts and show several ways in which TEK can strengthen research designs by increasing locality‐specific knowledge, including environmental linkages occurring in those localities. Examples of the uses of TEK in conservation include folk taxonomy in systematics in Micronesia, species knowledge for conservation in Kiribati, and fishers' knowledge of ecological interactions for reserve design in Belize. When conservationists recognize the utility of TEK, they can engage in an equitable exchange of knowledge and foster shared responsibility with indigenous people. These types of exchanges can also provide an opportunity for indigenous people to develop a scientific infrastructure.
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Cites
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Conservation and the Social Sciences
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Using perceptions as evidence to improve conservation and environmental management
Bennett, N. J. (2016) · Conservation Biology · doi:10.1111/cobi.12681 · Cited by 908
Framework for integrating indigenous and scientific knowledge for disaster risk reduction
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Emerging Technologies to Conserve Biodiversity
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Metadata
- Authors
- DREW, J. A.
- Venue
- Conservation Biology
- Publisher
- Wiley
- Published
- 2005-06-30
- Volume
- 19
- Issue
- 4
- Pages
- 1286-1293
- ISSN
- 0888-8892 (ISSN-L)
- 1523-1739
- OpenAlex
- W2107274132
- Cited by
- 511
- References
- 48
- FWCI
- 34.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
