Exploring management strategies for community-based forests using multi-agent systems: A case study in Palawan,...

Area of Science:

• Environmental Science
• Computer Science
• Social Science

Background:

• Community-based forest management faces challenges due to complex stakeholder interactions.
• Effective tools are needed to understand and improve collaborative resource governance.

Purpose of the Study:

• To apply a multi-agent systems (MAS) model using companion modelling (ComMod) to study stakeholder dynamics in community-based forest management.
• To facilitate collaborative development of a resource management plan through stakeholder engagement and learning.

Main Methods:

• Developed a multi-agent systems (MAS) model through the companion modelling (ComMod) approach.
• Utilized role-playing games (RPGs) and computer simulations as tools for learning and model validation.
• Engaged stakeholders and researchers in collaborative model development and negotiation processes.

Main Results:

• The companion modelling (ComMod) approach successfully integrated stakeholder perspectives into the MAS model.
• The collaborative process fostered learning and negotiation among diverse stakeholders.
• A collaborative resource management plan was developed for the community-based forest.

Conclusions:

• Multi-agent systems (MAS) and companion modelling (ComMod) are effective tools for studying and improving collaborative natural resource management.
• Stakeholder involvement in model development enhances understanding and promotes equitable resource governance.
• The study provides a transferable methodology for community-based forest management initiatives.