Rethinking knowledge systems for agroforestry: Insights from the mental models of cacao farmers in Colombia

Agroforestry is a sustainable land-use strategy that requires better integration of diverse knowledge systems. This paper examines how formal knowledge systems for cacao agroforestry systems in Colombia are structured, and how farmers understand and manage these systems. We interviewed 42 actors involved in knowledge production and dissemination and worked with 18 farmers to create mental maps of their management practices. Our findings show that formal knowledge systems remain predominantly top-down and scientific-based, despite increasing recognition of local knowledge. Farmers' mental models reflect this, showing reliance on external advice and simplified cause-and-effect thinking. When theoretically pooling farmers' perspectives, we observe a more comprehensive understanding of agroforestry, suggesting that social learning can strengthen their independence and adaptive capacity. Moreover, farm management is shaped by context-dependent variables such as climate seasonality and market access, thus highlighting the importance of integrating farmers' experiential knowledge into agroforestry design and dissemination for more sustainable, context-sensitive decision-making.

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Publication Details

Journal
AMBIO
Published
2025-04-30
DOI
https://doi.org/10.1007/s13280-025-02189-7
Citations
1
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
2.48
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article

Rethinking knowledge systems for agroforestry: Insights from the mental models of cacao farmers in Colombia

Tatiana Rodríguez, Michelle Bonatti, Katharina Löhr, Stefan Sieber
1 citations
AMBIO
Cognitive Science and Mapping
2.48
article

Rethinking knowledge systems for agroforestry: Insights from the mental models of cacao farmers in Colombia

Tatiana Rodríguez, Michelle Bonatti, Katharina Löhr, Stefan Sieber
article en
1 citations

Abstract

Agroforestry is a sustainable land-use strategy that requires better integration of diverse knowledge systems. This paper examines how formal knowledge systems for cacao agroforestry systems in Colombia are structured, and how farmers understand and manage these systems. We interviewed 42 actors involved in knowledge production and dissemination and worked with 18 farmers to create mental maps of their management practices. Our findings show that formal knowledge systems remain predominantly top-down and scientific-based, despite increasing recognition of local knowledge. Farmers' mental models reflect this, showing reliance on external advice and simplified cause-and-effect thinking. When theoretically pooling farmers' perspectives, we observe a more comprehensive understanding of agroforestry, suggesting that social learning can strengthen their independence and adaptive capacity. Moreover, farm management is shaped by context-dependent variables such as climate seasonality and market access, thus highlighting the importance of integrating farmers' experiential knowledge into agroforestry design and dissemination for more sustainable, context-sensitive decision-making.

AMBIOVol. 54(11)
Helmholtz Centre for Environmental Research (DE), Humboldt-Universität zu Berlin (DE), Leibniz Centre for Agricultural Landscape Research (DE), Eberswalde University for Sustainable Development (DE)
Openalex Percentile: Top 11%
Cognitive Science and Mapping
2.48
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Rethinking knowledge systems for agroforestry: Insights from the mental models of cacao farmers in Colombia — Tatiana Rodríguez, Michelle Bonatti, et al. · AMBIO (2025) | TGRS Research Map | TGRS