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

The paper details the use of Knowledge elicitation tools (KnETs) in southeast Cameroon to formalize qualitative data on local strategies for community adaptive capacity and sustainable forest management. This process generates decision rules and statistical measurements that inform social simulation models by defining agent attributes and prioritizing scenarios. Findings indicate that while men and women within the same households often share common rule drivers, differences in livelihood strategies exist between poor and better-off farmers regarding the package of strategies chosen, the driver factors involved, and the prioritization of these strategies relative to individual goals.

• The use of Knowledge elicitation tools (KnETs) allows for the formalization of qualitative data into decision rules that support sustainable forest management and community adaptive capacity under climatic and socio-environmental stressors.
• Methodological improvements to KnETs, including new statistical measurements, facilitate the creation of social simulation models by helping determine agent heterogeneity, attributes, and priority scenarios for testing.
• Analysis of decision-making in the region revealed that men and women in the same households often share common rule drivers, whereas the distinction between poor and better-off farmers is found in the specific combination, type, and prioritization of strategies used to reach their 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} }