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Connecting Diverse Knowledge Systems for Enhanced Ecosystem Governance: The Multiple Evidence Base Approach

Ambio, 2014-09, Vol.43 (5), p.579-591 [Peer Reviewed Journal]

The Author(s) 2014 ;2015 INIST-CNRS ;Royal Swedish Academy of Sciences 2014 ;ISSN: 0044-7447 ;ISSN: 1654-7209 ;EISSN: 1654-7209 ;DOI: 10.1007/s13280-014-0501-3 ;PMID: 24659474 ;CODEN: AMBOCX

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Title:
Connecting Diverse Knowledge Systems for Enhanced Ecosystem Governance: The Multiple Evidence Base Approach
Author: Tengö, Maria ; Brondizio, Eduardo S ; Elmqvist, Thomas ; Malmer, Pernilla ; Spierenburg, Marja
Subjects: Agroecology ; Animal and plant ecology ; Animal, plant and microbial ecology ; Assessments ; Atmospheric Sciences ; Biodiversity ; Biological and medical sciences ; Co-production of knowledge ; Collaboration ; Complementarity ; Conservation of Natural Resources ; Construction ; Earth and Environmental Science ; Ecological sustainability ; Ecology ; Ecosystem ; Ecosystem assessments ; Ecosystem studies ; Ecosystems ; Environment ; Environmental Engineering/Biotechnology ; Environmental Management ; Evidence-based medicine ; Forest ecology ; Fundamental and applied biological sciences. Psychology ; General aspects ; governance ; Human ; Human ecology ; humans ; Indigenous knowledge ; Joining ; Knowledge ; Local knowledge ; new technology ; PERSPECTIVE ; Physical Geography ; Pictures ; Science ; Social sciences ; Sustainability ; Sustainable agriculture ; Sustainable development ; Synecology ; Traditional knowledge ; Triangulation ; Validation ; Validation studies
Is Part Of: Ambio, 2014-09, Vol.43 (5), p.579-591
Description: Indigenous and local knowledge systems as well as practitioners’ knowledge can provide valid and useful knowledge to enhance our understanding of governance of biodiversity and ecosystems for human well-being. There is, therefore, a great need within emerging global assessment programs, such as the IPBES and other international efforts, to develop functioning mechanisms for legitimate, transparent, and constructive ways of creating synergies across knowledge systems. We present the multiple evidence base (MEB) as an approach that proposes parallels whereby indigenous, local and scientific knowledge systems are viewed to generate different manifestations of knowledge, which can generate new insights and innovations through complementarities. MEB emphasizes that evaluation of knowledge occurs primarily within rather than across knowledge systems. MEB on a particular issue creates an enriched picture of understanding, for triangulation and joint assessment of knowledge, and a starting point for further knowledge generation.
Publisher: Dordrecht: Springer-Verlag
Language: English
Identifier: ISSN: 0044-7447
ISSN: 1654-7209
EISSN: 1654-7209
DOI: 10.1007/s13280-014-0501-3
PMID: 24659474
CODEN: AMBOCX
Source: MEDLINE
PubMed Central
SWEPUB Freely available online
Springer Nature OA/Free Journals
ProQuest Central

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Connecting Diverse Knowledge Systems for Enhanced Ecosystem Governance: The Multiple Evidence Base Approach

The Author(s) 2014 ;2015 INIST-CNRS ;Royal Swedish Academy of Sciences 2014 ;ISSN: 0044-7447 ;ISSN: 1654-7209 ;EISSN: 1654-7209 ;DOI: 10.1007/s13280-014-0501-3 ;PMID: 24659474 ;CODEN: AMBOCX

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