前沿课程
海洋渔业资源基础前沿1(基)
发布时间:2024-11-27  浏览次数: 10

1.课程名称:海洋渔业资源基础前沿1()

2.课程代码:0321401(国内学生)和 0242404(留学生)

3.主讲教师:Dr. CHEN Yong, Dr. SUN Ming, Dr. LI Yunzhou, Dr. WO Jia, and Dr. YIN Jie

 

4.时间、地点

时间(北京时间)

线下教室

线上腾讯会议号

10:05-11:35 am, October 24

2101

 

10:05-11:35 am, October 26

2101

 

8:15 – 9:50 am, October 29

 

518 663 6028

8:15 – 9:50 am, October 30

 

518 663 6028

8:15 – 9:50 am, October 31

 

518 663 6028

8:15 – 9:50 am, November 1

 

518 663 6028

上课形式:

线上线下结合

1次和第2次课程线下,其余课程线上

 

5.授课内容及主讲人简介:

This course includes a series of lectures covering the most current issues and topics in fisheries stock assessment and management and marine conservation. The topics covered by each lecture and the corresponding presenter for each lecture are detailed below. This lecture series is part of the Marine Fisheries Partnership and Fisheries Learning Network Programs reflecting long-term collaborations of Dr. Yong Chen’s Lab at State University of New York at Stony Brook with Shanghai Ocean University.

 

 

Lecture 1 (10:05-11:35 am Beijing time, October 24; In-person lecture):

Professor Chen will introduce fisheries stock assessment and management, describing why stock assessment is so important and how the information generated is usually used to inform fisheries management.  He will also introduce the general process of fisheries stock assessment, its key components and important research topics in fisheries stock assessment.  

Dr. Chen is Professor of Marine Science in the School of Marine and Atmospheric Sciences, State University of New York at Stony Brook. His lab information can be found at https://you.stonybrook.edu/chenlab/

 

Lectures 2 (10:05-11:35 am Beijing time, October 26; In-person lecture): 

Professor Chen will cover fish life history theory and how it can be used to improve and inform fisheries stock assessment and management in an ever changing ecosystem. He will also cover the topic of “Climate Change and Fisheries” in particular developing modeling and computers simulation tools to evaluate impacts of climate changes on fisheries stock assessment and management.

 

Lecture 3 (8:15 – 9:50 am Beijing time, October 29, Beijing Time, Online lecture):

Dr. LI Yunzhou will cover Marine Protected Area (MPA) and climate vulnerability analysis for fisheries management. Dr. Li will introduce two prevailing tools for fisheries conservation and adaptation: MPA and CVA. She will cover fundamental topics about MPAs, such as their definition and benefits, their interactions with other fisheries management measures, and their global status. Some examples of MPA planning and evaluation will also be examined with case studies in China. She will also introduce the utility of CVAs and their applications to fisheries resource management.

Dr. Li is a Research Scientist in the School of Marine and Atmospheric Sciences (SoMAS). Trained as an interdisciplinary marine scientist, Dr. Li has broad research interests including MPA, international fisheries management, dynamic modeling of fisheries social-ecological systems, and systems' response and resilience to climate change. Dr. Li is particularly interested in studying the interactions amongst marine conservation strategies, fish populations and fishers within the coupled human and natural systems, and incorporating scientific findings into the policy-making process. Before joining Stony Brook, Dr. Li earned her Ph.D. at the Ocean University of China and University of Maine in 2020, and earned Master of Marine Affairs at the University of Washington. 

 

Lecture 4 (8:15 – 9:50 am, Beijing time, October 30, 2024, Online lecture): 

Dr. Ming Sun will cover stock assessment methods including data-limited method commonly used in fisheries management. He will cover key model, data needs, and outputs of commonly used stock assessment models.

Dr. Ming Sun is a Research Scientist in the School of Marine and Atmospheric Sciences, State University of New York at Stony Brook. Dr. Sun’s research interests include fishery stock assessment, data-limited methods, management strategy evaluation, and mixed fisheries management. Dr. Sun works with a variety of international fisheries from the US, China, and Europe. Ming has published more than twenty peer-reviewed papers in fisheries stock assessment and management, in journals including Fish and Fisheries, ICES Journal of Marine of Sciences, Canadian Journal of Fisheries and Aquatic Sciences, and Marine Policy.

 

Lecture 5 (8:15 – 9:50 am Beijing time, October 31, 2024, Online lecture): 

Dr. YIN Jie will cover ecosystem models, climate change, and marine ecosystems. She will give examples of how ecosystem models can be applied to assess multiple impacts of climate changes on fisheries ecosystems, including both short-term climate variations and long-term climate warming, as well as how they can be used to explore climate-adaptive fisheries management strategies.

Dr. Yin is a postdoc Research Associate in the SoMAS at the SUNY Sony Brook. She has profound research experience in ecosystem modeling, food-web dynamics, climate change impacts, and ecosystem-based fisheries management. Her work has been published in journals such as Science of the Total Environment, Ocean & Coastal Management, Ecological Indicators, and Progress in Oceanography.

 

Lecture 6 (8:15 – 9:50 am, Beijing time, November 1, 2024, Online lecture)

Dr. WO Jia will talk about recent stock assessment work for the Food and Agriculture Organization (FAO). Her talk will focus on how stock assessments support FAO’s mission to ensure the sustainable use of marine resources and contribute to food security and livelihoods.

Dr. Wo is a Postdoctoral Research Associate at the School of Marine and Atmospheric Sciences, Stony Brook University, SUNY. Her research interests include the dynamics of multispecies and mixed fisheries, ecological modeling, ecosystem-based fisheries management, spatial distribution of fish stocks, and data-limited stock assessments. A key aspect of her work is integrating stock assessment methods with ecosystem and species distribution models to quantify mixed fisheries dynamics and patterns, providing insights for science-based fisheries management. Her work has been published in prominent fisheries journals, including ICES Journal of Marine Science and Fisheries Research.