Socio-Econ-Ecosystem Multipurpose Simulator (SEEMS): An Easy-to-Apply Agent-based Model for Simulating Small-Scale Coupled Human and Nature Systems

Authors: Liyan Xu*, Peking University, Hailong Li, China Society of Urban Studies, Yansheng Yang, Zhejiang Gongshang University, Hong You, Beijing Institute of Urban Planning and Design
Topics: Human-Environment Geography, Geographic Information Science and Systems, Land Use and Land Cover Change
Keywords: Agent-based Model, GeoSimulation, Wolong Nature Reserve, China
Session Type: Paper
Day: 4/10/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Iris, Sheraton, 8th Floor
Presentation File: No File Uploaded

Population growth and economic development in the developing countries have raised increasing demand for resources across the world. In some ecological sensitive regions, the contest for scarce resources, including land and energy, has caused constant tensions between economic development and ecological preservation by creating huge impacts on local ecosystems in terms of land-use/land cover change, Greenhouse Gas (GHG) emission, etc. Various kinds of ecological protection policies have been proposed to mitigate the impacts, however, two dilemmas emerge in the efforts of designing proper protection programs: preciseness, and cost-effectiveness. An optimal policy must tradeoff between economic interests and ecological benefits, and be able to anticipate its possible direct and indirect socio-ecological impacts. To come up with such policies, one must understand the mechanisms of the socio-ecological interactions in the ecological sensitive regions, such that specific, effective protection programs can be designed. I develop an Agent-based Model which includes sub-models for the economic, ecological, and social sub-systems in a comprehensive geographical area, and simulates the interactions between them with a strong microeconomic basis, thus named the Socio-Econ-Ecosystem Multipurpose Simulator (SEEMS). This paper describes the SEEMS, and demonstrates its implementation with a real-world case in Wolong Nature Reserve, China.

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