題目：Managing ecosystem services for agriculture: Will landscape-scale management pay?
主講人：Rong-Gang Cong (Lund university)
時間：2014年6月24日（周二） 上午10:30
地點：主樓六層會議室
主講人簡介：
Dr. Rong-Gang Cong is currently a researcher at the center of environmental and climate research, Lund university. He received the bachelor degrees in cybernetics and management science from Nankai University, China in 2005, and Ph.D. degree in management science from Institute of policy and management, Chinese Academy of Science in 2010. His research interests include resource and environmental economics, economic behavior analysis, biodiversity evaluation, multi-agent model, mechanism design and experimental economics. He is a member of European Association of Agricultural Economics (EAAE) and European Association of Environmental and Resource Economists (EAERE).
內容簡介：
Agriculture's reliance on ecosystem services creates economic and ecological interdependencies between crop production and biodiversity. Interactions with mobile organisms are particularly complex because they depend on the spatial configuration of habitat at large scales. As such conserving habitat is likely to benefit multiple farmers whereas conservation costs are born individually, creating potential interdependencies among farmers. We explore under what conditions landscape-scale management of ecosystem services is likely to benefit farmers compared to managing them at the farm-scale. To do this we develop an agent-based model (ABM) to predict the landscape configuration emerging from farm-scale management under different conditions: initial landscape, crop and pollinator characteristics. As a benchmark, the landscape configuration from landscape-scale management is derived through a global optimization procedure. Not only do we find that efficiency improves with landscape-scale management, but also that all farmers would benefit from it (given dependence of crop yields on ecosystem services). However, we also find that the individual incentives to avoid maintaining habitat on one's own land are relatively high; therefore creating conditions for a Prisoner's Dilemma-type problem. On the other hand we also demonstrate that an incentive-compatible contract exists that can promote efficient landscape management (by combining side-payments with fines for defection).
