Using Ecological Models To Support And Shape Environmental Policy Decisions

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Collaboration Across Boundaries for Social-Ecological Systems Science

Collaboration across boundaries is widely recognized as a vital requisite for the advancement of innovative science to address problems such as environmental degradation and global change. This book takes collaboration across boundaries seriously by focusing on the many challenges and practices involved in team science when spanning disciplinary, organizational, national and other divides. The authors draw on a shared framework for managing the challenges of collaboration across boundaries as applied to the science of understanding complex social-ecological systems. Teams working across boundaries on diverse social-ecological systems in countries around the world report their challenges and share their practices, outcomes and lessons learned. From these diverse experiences arise many commonalities and also some important differences. These provide the basis for a set of recommendations to any collaborators intending to use science as a tool to better understand social-ecological systems and to improve their management and governance.
Three Gorges Dam

This is the first English book talking about the Three Gorges Project Eco-Environmental Monitoring System (TGPEEMS). It presents lessons learned in construction of large dam projects at home and abroad in this field, identifies existing problems before suggesting a scientific improvement plan. and, most importantly, it studies modification of the TGPEEMS to adapt it to the changing situation after the impoundment of the reservoir, and provides an essential overview of measures and progress in the ecological and environmental protection for the ongoing project. As such, it offers a valuable reference guide for both researchers and environmental decision-makers.Prof. Zhenli Huang works at the National Research Center for Sustainable Hydropower Research, China Institute of Water Resources and Hydropower Research. Prof. Bingfang Wu works at the Institute of Remote Sensing Applications, Chinese Academy of Sciences, China.