Knowledge coproduction to improve assessments of nature's contributions to people

Author:

Vallet Améline12ORCID,Locatelli Bruno34ORCID,Valdivia‐Díaz Merelyn5,Quispe Conde Yésica6ORCID,Matencio García Gerardina7,Ramos Criales Alejandrina8,Valverde Huamanñahui Francisca9,Ramos Criales Santusa8,Makowski David10ORCID,Lavorel Sandra11ORCID

Affiliation:

1. Ecologie Systématique Evolution, AgroParisTech, CNRS Université Paris‐Sud, Université Paris‐Saclay Orsay France

2. CIRED, AgroParisTech, Cirad, CNRS, EHESS Ecole des Ponts ParisTech Nogent‐sur‐Marne France

3. Forests and Societies, CIRAD University of Montpellier Montpellier France

4. Center for International Forestry Research Lima Peru

5. Food and Agriculture Organization of the United Nations (FAO) Rome Italy

6. UNALM La Molina Agrarian University Lima Peru

7. Centro Poblado de Ccanabamba Abancay Peru

8. Centro Poblado de Ccorhuani Abancay Peru

9. Comunidad Campesina de Llañucancha Abancay Peru

10. INRAE, AgroParisTech Université Paris‐Saclay, UMR MIA 518 Paris France

11. Laboratoire d'Ecologie Alpine Université Grenoble Alpes Université Savoie Mont‐Blanc, CNRS Grenoble France

Abstract

AbstractSustainability science needs new approaches to produce, share, and use knowledge because there are major barriers to translating research into policy and practice. Multiple actors hold relevant knowledge for sustainability including indigenous and local people who have developed over generations knowledge, methods, and practices that biodiversity and ecosystem assessments need to capture. Despite efforts to mainstream knowledge coproduction, less than 3% of the literature on nature's contributions to people (NCP) integrates indigenous and local knowledge (ILK). Approaches and tools to better integrate scientific and ILK knowledge systems in NCP assessments are urgently needed. To fill this gap, we conducted interviews with ILK experts from Abancay and Tamburco, Peru, and convened focus groups and workshops during which participatory mapping, a serious game, a Bayesian belief network based on ILK were introduced. We inventoried 60 medicinal plants used to treat different illnesses, and analyzed the spatial distribution of the 7 plants that contribute the most to a good quality of life, and delineated their nonmedicinal uses. Based on the Intergovernmental Science‐Policy Platform on Biodiversity and Ecosystem Services conceptual framework, we defined dimensions of a good quality of life according to indigenous and local worldviews. Medicinal plants contributed strongly to health and household security, among other contributions. Climate change and overexploitation were the main perceived threats to medicinal plants, despite the existence of formal and customary institutions to regulate trade. Our approach was flexible enough to integrate diverse forms of knowledge, as well as qualitative and quantitative information from, for example, the Bayesian belief network.

Funder

Horizon 2020 Framework Programme

Consortium of International Agricultural Research Centers

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

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