博士生导师

郭传波

个人简历：

　　郭传波，博士，研究员，博士生导师。2014年，获中国科学院大学和法国图卢兹大学双博士学位，2014-2020年，先后在法国国家科研中心、图卢兹大学、中国科学院水生生物研究所以及加拿大渔业和海洋部等高校和研究机构从事渔业生态学和渔业管理等相关研究。2020年9月受中国科学院海外人才引进计划支持，受聘为中国科学院水生生物研究所研究员。

　　目前，主要从事渔业生态学和大尺度宏观生态学研究，围绕淡水渔业可持续发展的核心和关键科学问题，重点关注宏观和大尺度下渔业资源和生态系统的动态过程、格局及关键性驱动因子，探索天然水体渔业资源合理利用、养护修复和环境优化技术原理，建立渔水和谐的优质高效的生态渔业模式，以期打造系统化、智能化和可视化的渔业管理体系。近年来，主持(或参与)包含国家自然科学基金、中科院前沿科学重点项目课题、国家重点研发计划项目课题、美国Belmont Forum Foundation、欧盟Erasmus Mundus、加拿大政府实验室访问项目等在内的多项研究课题，在Fish and Fisheries, ICES Journal of Marine Science, Freshwater Biology, Science of the Total Environment, Ecological Modelling等国内外期刊发表研究论文30余篇，撰写英文专著章节1章。Global Ecology and Biogeography, Fisheries Research, Diversity and Distribution, Ecological Modelling，Biodiversity and Conservation等十多种国内外期刊独立审稿人，Korean Journal of Ecology and Environment 编委。

近期主要研究兴趣：大水面生态渔业模式及生态学机理，渔业种群评估、养护和重建策略，渔业资源和生态环境评估，以及基于生态系统的渔业管理等基础和应用研究。同时，重点关注大数据技术、计算机模型、空间遥感和地理信息系统等技术手段在渔业生态和渔业管理中的实际应用。热忱欢迎具有计算机编程、生态数据处理和挖掘、遥感和地理信息系统等学科背景或研究兴趣的同学加入。

研究主题和方向：定量渔业(Quantitative fisheries)、基于生态系统的渔业管理(Ecosystem-based fisheries management)、宏观生态学(Macroecology)、数量生态学(Numerical ecology)

招生专业：水产养殖

电话：027-68780055

电子邮件：guocb#ihb.ac.cn(发邮件时将#换成@)

近年10篇代表性文章：

　　1. Guo, C., Chen, Y., R. E. Gozlan, Li Z., Mehner, T., Lek S., &Paukert C. P. Biogeographic freshwater fish pattern legacy revealed despite rapid socio-economic changes in China. Fish and Fisheries, 2019, 20: 857– 869.

　　2. Guo, C.*, Gozlan R. E. Treatise on aquaculture in the modern era. Fish and Fisheries, 2019, 20(6): 1260-1261.

　　3. Guo, C.*, Fu, C., Forrest, R., Olsen, N., Liu, H., Verley, P., &Shin, Y. Ecosystem-based biological reference points under varying climate states and fisheries management strategies. ICES Journal of Marine Science, 2019, 76(7), 2045-2059.

　　4. Guo, C.*, Fu, C., Xu, Yi, Olsen, N., Liu, H., Verley, P., &Shin, Y. Incorporating environmental forcing in a marine ecosystem model for developing optimal fisheries management strategies. ICES Journal of Marine Science, 2020, 77(2), 500-514.

　　5. Guo, C., Chen, Y., Xia, W., Qu, X., Yuan, H., &Xie, S., Lin, L. Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project. Science of the Total Environment, 2020, 711,0000-0000. https://doi.org/10.1016/j.scitotenv.2019.134543

　　6. Guo, C., Chen, Y., Gozlan, R.E., Liu, H., Lu, Y., Qu, X., Xia, W., Xiong, F., Xie, S., &Wang, L. Patterns of fish communities and water quality in impounded lakes of China's south-to-north water diversion project. Science of the Total Environment, 2020,713,0000-0000. https://doi.org/10.1016/j.scitotenv.2020.136515.

　　7. Guo, C., Chen, Y., Liu, H., Lu, Y., Qu, X., Yuan, H., ... & Xie, S. Modelling fish communities in relation to water quality in the impounded lakes of China’s South-to-North Water Diversion Project. Ecological Modelling, 2019, 397, 25-35.

　　8. Guo, C., Chen, Y., Li, W., Xie, S., Lek, S., & Li, Z. Food web structure and ecosystem properties of the largest impounded lake along the eastern route of China's South-to-North Water Diversion Project. Ecological Informatics, 2018, 43, 174-184.

　　9. Chea, R., Guo, C.*, Grenouillet, G., & Lek, S. Toward an ecological understanding of a flood-pulse system lake in a tropical ecosystem: food web structure and ecosystem health. Ecological modelling, 2016, 323, 1-11.

　　10. Guo, C., Lek, S., Ye, S., Li, W., Liu, J., &Li, Z. Uncertainty in ensemble modelling of large-scale species distribution: effects from species characteristics and model techniques. Ecological modelling, 2015, 306, 67-75.

英文专著章节

　　Guo, C.*, Park, Y., &Lek, S. Toward the new generation of ecological model techniques: Bibliometric and review. In “Advanced Modelling Techniques Studying Global Changes in Environmental Sciences”.2015. Elsevier.