As part of a participatory process scenarios were defined by the working group and assessed using the Agent-Based ARLUNZ model.
The Biodiversity Ecosystem Services decision making assessmenT (BEST) framework is designed to enable land managers and communities to compare the impact of policy, land manager behaviour, and market drivers on land-use choices and the subsequent flow of ecosystems service. This is to facilitate the incorporation of biodiversity outcomes and relevant ecosystem services into land management decisions. The BEST framework uses participatory approaches and spatial modelling tools (i.e. ARLUNZ) to inform and influence resources management decisions. The framework is being piloted in the Rangitāiki catchment.
The model can also assess the resulting land-use effects caused by changes in farming demographics, social networks, and decision making. It was designed to examine and resolve complex environmental issues within the rural environment, provide information about how farmers will adapt (both economically and socially) to global change, and reduce vulnerability to resource scarcity.
The model consists of three layers – a landscape on which the agents make decisions; the agents themselves and the associated decision-making framework; and the economic information associated with both the landscape and the agents. The model:
The three components (landscape, agent, economic) are integrated through the development of dependencies and feedback loops between each layer, specifically the decision-making framework built around the farmer agent, which takes into account farm, farmers, and economic information when making a land use decision.
- Reason for using DSS (the underlying science/policy question being investigated)
- Overview of implementation of the DSS
- Outputs and findings
- Any recommendations or lessons learnt
An agent-based model (ABM) (also sometimes related to the term multi-agent system or multi-agent simulation) is a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole.
Rangitāiki Landscape Scenarios Participatory Process - https://www.landcareresearch.co.nz/science/soils-and-landscapes/ecosystem-services/best/integrating/rangitaiki
Fraser J. Morgan, Philip Brown, and Adam J. Daigneault (2015): Simulation vs. Definition: Differing Approaches to Setting Probabilities for Agent Behaviour. Land 2015, 4, 914-937