Collaborative Research in China


SFG is working with Chinese researchers to solve complex, interdisciplinary resource management problems and build a lasting foundation for advances in Chinese fisheries science. The primary objectives of this project are to develop the necessary tools and strategies for Chinese scientists to evaluate their fisheries, forecast the impacts of fisheries reform in China, build local capacity to ensure that Chinese fisheries will be sustainably managed long-term, and build upon the existing body of knowledge on Chinese fisheries for the benefit of the global fisheries research community


Between the county’s capture fisheries and aquaculture production, China is the world’s largest producer of seafood.  Given the extraordinary scale at which these two industries operate, instituting effective fisheries reforms could have the effect of generating tremendous economic and ecological benefits for coastal China. Strong international collaborations such as ours can facilitate the two-way exchange of knowledge, technology, and data that are critical to successful fishery reform.  


SFG is in the process of establishing close working relationships with Chinese researchers and identifying opportunities for collaboration. Given our scientific and technical expertise, SFG is well-positioned to help local researchers forecast the impacts of Chinese fisheries reform and develop more sustainable resource management strategies. To that end, SFG is designing a user-friendly tool to quantitatively assess the impacts of alternative management scenarios on Chinese fisheries. The tool is adaptable and can evaluate the biological and economic effects of diverse management interventions, incorporate climate change factors, and be used to project the effects of reform on any species. In an effort to build local capacity, SFG plans to train Chinese researchers in the concepts that underpin the tool, teach them how to use it effectively, and produce an application framework for those who wish to use the tool in their future work.


 This project is a collaborative effort between SFG and the Packard Foundation.