Identifying salient drivers of livelihood decision-making in the forest communities of Cameroon: adding value to social simulation models

This research paper details a participatory process using Knowledge elicitation tools (KnETs) in southeast Cameroon to formalize qualitative data on livelihood decision-making, which is then used to inform social simulation models for sustainable forest management.

• The study utilized Knowledge elicitation tools (KnETs) to identify decision rules and local strategies aimed at increasing community adaptive capacity and supporting sustainable forest management amidst climatic and socio-environmental stressors. This process helped structure empirical data to identify key drivers of decision-making and uncover tacit knowledge to inform strategic interventions for local organizations and social simulations.
• Methodological improvements to KnETs, including new statistical measurements, facilitate the creation of inputs for social simulation models, specifically regarding agent heterogeneity and attributes, and help determine which scenarios to prioritize during testing and development.
• Analysis of decision-making revealed that while men and women from the same households often shared common rule drivers despite separate interviews, differences between poor and better-off farmers were found in the prioritization, number, and type of strategies chosen, as well as the driving factors related to their specific goals.

APA

Stockholm Environment Institute (2015). Identifying salient drivers of livelihood decision-making in the forest communities of Cameroon: adding value to social simulation models. https://www.sei.org/publications/identifying-salient-drivers-of-livelihood-decision-making-in-the-forest-communities-of-cameroon-adding-value-to-social-simulation-models/

Chicago

Stockholm Environment Institute. Identifying salient drivers of livelihood decision-making in the forest communities of Cameroon: adding value to social simulation models. 2015. https://www.sei.org/publications/identifying-salient-drivers-of-livelihood-decision-making-in-the-forest-communities-of-cameroon-adding-value-to-social-simulation-models/.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=Identifying salient drivers of livelihood decision-making in the forest communities of Cameroon: adding value to social simulation models |date=2 February 2015 |url=https://www.sei.org/publications/identifying-salient-drivers-of-livelihood-decision-making-in-the-forest-communities-of-cameroon-adding-value-to-social-simulation-models/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2015identifying, author = {{Stockholm Environment Institute}}, title = {{Identifying salient drivers of livelihood decision-making in the forest communities of Cameroon: adding value to social simulation models}}, institution = {Stockholm Environment Institute}, year = {2015}, month = feb, url = {https://www.sei.org/publications/identifying-salient-drivers-of-livelihood-decision-making-in-the-forest-communities-of-cameroon-adding-value-to-social-simulation-models/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }