Cited by 1,329Environmental and Cultural Studies in Latin America and BeyondLand Use and Ecosystem ServicesIndigenous Studies and Ecology

The DOI matches its Crossref record; 58 of the 88 references it cites were found in a registry or an index.

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

Open access
Tengö, Maria, Brondizio, Eduardo S., Elmqvist, Thomas, Malmer, Pernilla, Spierenburg, Marja·2014·AMBIO

Abstract

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.

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Crossref · 10.1007/s13280-014-0501-3

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Fig. 1 An illustration of a multiple evidence base approach, where diverse knowledge systems contribute to generate an enriched picture of a selected problem or issue of concern. The enriched picture can serve as a legitimate starting point for further analysis and knowledge generation
Fig. 1 An illustration of a multiple evidence base approach, where diverse knowledge systems contribute to generate an enriched picture of a selected problem or issue of concern. The enriched picture can serve as a legitimate starting point for further analysis and knowledge generationCC BY · PubMed Central
Fig. 2 Outlining three phases of a multiple evidence base approach that emphasizes the need for co-production of problem definitions as well as joint analysis and evaluation of the enriched picture created in the assessment process. Phase 1 involves defining problems and goals in a collaborative manner that recognizes cross-scale interactions of drivers and local responses and sets the stage for maintaining ongoing dialogue. This includes establishing partnerships between relevant communities, organizations and networks as appropriate and needed at different levels; investigating common interests and concerns, including power relations among actors; recognizing differences in experiences, methods, and goals across actors (Laidler 2006). Phase 2 involves bringing together knowledge on an equal platform, using parallel systems of valuing and questions and domains. This includes acknowledging and recognizing the spatial and temporal context of knowledge and implications for scalability; acknowledging and addressing power issues among knowledge systems and holders; consideration of different areas of strength and contribution of different knowledge systems and their overlaps; and acknowledging converging and diverging evidence and perspectives across knowledge systems. Phase 3 involves joint analysis and evaluation of knowledge and insights to generate multi-level synthesis and identify and catalyze processes for generating new knowledge. This includes identifying continuing knowledge gaps, new hypothesis, and potential areas for new collaborations across knowledge systems. To enable these processes, there is a need to develop new tools and approaches for combining and relating multiple data, including qualitative as well as quantitative
Fig. 2 Outlining three phases of a multiple evidence base approach that emphasizes the need for co-production of problem definitions as well as joint analysis and evaluation of the enriched picture created in the assessment process. Phase 1 involves defining problems and goals in a collaborative manner that recognizes cross-scale interactions of drivers and local responses and sets the stage for maintaining ongoing dialogue. This includes establishing partnerships between relevant communities, organizations and networks as appropriate and needed at different levels; investigating common interests and concerns, including power relations among actors; recognizing differences in experiences, methods, and goals across actors (Laidler 2006). Phase 2 involves bringing together knowledge on an equal platform, using parallel systems of valuing and questions and domains. This includes acknowledging and recognizing the spatial and temporal context of knowledge and implications for scalability; acknowledging and addressing power issues among knowledge systems and holders; consideration of different areas of strength and contribution of different knowledge systems and their overlaps; and acknowledging converging and diverging evidence and perspectives across knowledge systems. Phase 3 involves joint analysis and evaluation of knowledge and insights to generate multi-level synthesis and identify and catalyze processes for generating new knowledge. This includes identifying continuing knowledge gaps, new hypothesis, and potential areas for new collaborations across knowledge systems. To enable these processes, there is a need to develop new tools and approaches for combining and relating multiple data, including qualitative as well as quantitativeCC BY · PubMed Central

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Cites

Show all 88 references

Research works printed but not linked: 15

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Metadata

Authors
Tengö, M., Brondizio, E. S., Elmqvist, T., Malmer, P., & Spierenburg, M.
Affiliations
  • Stockholm Resilience Centre (SE)
  • Vrije Universiteit Amsterdam (NL)
Corresponding author
Tengö, Maria
Venue
AMBIO
Published
2014-03-22
Volume
43
Issue
5
Pages
579-591
ISSN
  • 0044-7447 (ISSN-L)
  • 1654-7209
OpenAlex
W2122925767
Cited by
1,329
References
88
Citations by year
2026: 163 · 2025: 140 · 2024: 122 · 2023: 140 · 2022: 146 · 2021: 152 · 2020: 124 · 2019: 101 · 2018: 89 · 2017: 61 · 2016: 46 · 2015: 34 · 2014: 11
FWCI
43.99
Type
journal article
Language
en
Open access
Locations
  • AMBIO (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • VU Research Portal (publishedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
Funders
  • Styrelsen för Internationellt Utvecklingssamarbete
  • Stiftelsen för Miljöstrategisk Forskning
Topics
  • Physical Sciences › Environmental Science › Ecology › Environmental and Cultural Studies in Latin America and Beyond
  • Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
  • Social Sciences › Anthropology › Indigenous Studies and Ecology
Keywords
indigenous knowledge, local knowledge, scientific knowledge, knowledge integration, ecosystem governance, biodiversity governance, IPBES, knowledge assessment, human well-being, knowledge synergy
MeSH terms
Conservation of Natural Resources, Ecosystem, Biodiversity

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