Integrating local and scientific knowledge for environmental management
Open accessAbstract
This paper evaluates the processes and mechanisms available for integrating different types of knowledge for environmental management. Following a review of the challenges associated with knowledge integration, we present a series of questions for identifying, engaging, evaluating and applying different knowledges during project design and delivery. These questions are used as a basis to compare three environmental management projects that aimed to integrate knowledge from different sources in the United Kingdom, Solomon Islands and Australia. Comparative results indicate that integrating different types of knowledge is inherently complex - classification of knowledge is arbitrary and knowledge integration perspectives are qualitatively very different. We argue that there is no single optimum approach for integrating local and scientific knowledge and encourage a shift in science from the development of knowledge integration products to the development of problem-focussed, knowledge integration processes. These processes need to be systematic, reflexive and cyclic so that multiple views and multiple methods are considered in relation to an environmental management problem. The results have implications for the way in which researchers and environmental managers undertake and evaluate knowledge integration projects.
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The distinction is commonly made between local and scientific knowledge and perception.
“The distinction is commonly made between local and scientific knowledge and perception [35,50].”
From How Are Landscapes under Agroecological Transition Perceived and Appreciated? A Belgian Case Study (2020) · cites this paper as [50]
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“Thus, we advocate along with others (Raymond et al., 2010) for a shift in science from the development of knowledge integration products to the development of knowledge integration processes enabling multiple”
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Background
- Authors
- Raymond, C. M., Fazey, I., Reed, M. S., Stringer, L. C., Robinson, G. M., & Evely, A. C.
- Affiliations
- University of South Australia (AU)
- University of St Andrews (GB)
- University of Aberdeen (GB)
- University of Leeds (GB)
- Corresponding author
- Raymond, Christopher M.
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 91
- Issue
- 8
- Pages
- 1766-1777
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W2096170391
- Cited by
- 1,116
- References
- 112
- Citations by year
- 2026: 46 · 2025: 64 · 2024: 67 · 2023: 72 · 2022: 95 · 2021: 94 · 2020: 92 · 2019: 96 · 2018: 78 · 2017: 81 · 2016: 80 · 2015: 67 · 2014: 56 · 2013: 59 · 2012: 43
- FWCI
- 7.70
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Discovery Research Portal (University of Dundee) (submittedVersion)
- Research Repository (Kingston University London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Biotechnology and Biological Sciences Research Council
- Economic and Social Research Council (ES/H037144/1, ES/G021694/1, RES-227-25-0001)
- Topics
- Health Sciences › Health Professions › General Health Professions › Indigenous Studies and Ecology
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental and Social Impact Assessments
- Physical Sciences › Environmental Science › Ecology › Environmental and Cultural Studies in Latin America and Beyond
- Keywords
- knowledge integration, local knowledge, scientific knowledge, environmental management, participatory project design, knowledge classification, science-policy interface, comparative case study
- MeSH terms
- Australia, Conservation of Natural Resources, Cooperative Behavior, Decision Making, Environment, United Kingdom, Humans, Melanesia, Public Policy, Research Personnel, Science, Knowledge, Organizational Case Studies
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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