Computational Model Library

Displaying 2 of 2 results land use policy clear

We employ an agent-based model (ABM) to simulate the policy implementation for shaping specific land use patterns. The dynamics in land use structure and spatial distribution emerge from interactions among land acquisition, land conversion, and land reclamation between agents.
The model includes five types of institutional agents—the Central Government (CG), the local Urban Development Commission (UDC), the local Farmland Protection Commission (FPC), the local Ecological Protection Commission (EPC), and the Village collectives (VAs, 2,602 agents).
Four key parameters represent the enforcement levels of different land use policies.

The Olympic Peninsula ABM works as a virtual laboratory to simulate the existing forestland management practices as followed by different forestland owner groups in the Olympic Peninsula, Washington, and explore how they could shape the future provisions of multifunctional ecosystem services such as Carbon storage and revenue generation under the business-as-usual scenario as well as by their adaptation to interventions. Forestlands are socio-ecological systems that interact with economic, socio-cultural, and policy systems. Two intervention scenarios were introduced in this model to simulate the adaptation of landowner behavior and test the efficacy of policy instruments in promoting sustainable forest practices and fostering Carbon storage and revenue generation. (1) A market-linked carbon offset scheme that pays the forestland owners a financial incentive in the form of a yearly carbon rent. (2) An institutional intervention policy that allows small forest owners (SFLO) to cooperate for increased market access and benefits under carbon rent scenario. The model incorporates the heterogeneous contexts within which the forestland owners operate and make their forest management decisions by parameterizing relevant agent attributes and contextualizing their unique decision-making processes.

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