报告题目：Pattern dynamics in a vegetation-water model with human activities: an optimal control approach
报告摘要：Desertification in arid regions is usually accompanied by a shift in vegetation patterns. Much effort has been devoted to investigating shifts in vegetation patterns caused by changes in key parameters or parameter space. But little has been done in terms of how to achieve shifts with constant parameter space. To this end, we study the shift in plant patterns caused by human activity using a conventional dryland vegetation-water model integrated with optimal control theory. We found that human action can produce many forms of pattern shifts, such as shifts between stationary patterns, non-stationary patterns, as well as stationary and non-stationary patterns, while maintaining the parameter space constant and the cost low.
报告人简介：孙桂全，中北大学教授，数学学院院长，博士生导师，享受国务院政府特殊津贴，国家级领军人才，国家优秀青年科学基金获得者，中国数学会生物数学专委会副主任，中国青年科技工作者协会理事。主要从事交叉领域的应用数学研究，包括生态斑图动力学、传染病传播动力学和复杂性科学等，在Physics Reports、Physics of Life Reviews、J. Differential Equations、SIAM J. Appl. Math.、数学年刊B等国内外期刊发表论文60余篇。主持国家重点研发计划1项，获得霍英东教育基金会青年教师基金，以第1完成人获得山西省科技奖一等奖。
报告时间：2025年4月14日（星期一）18:30
报告地点： 线上腾讯会议：438-388-545
主办单位：湖北民族大学数学与统计学院
联系人：王连文
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