標(biāo)題：Predictive Modelling of Cyanobacterial Blooms in Albertan Lakes
報(bào)告時(shí)間：2024年6月4日(星期二)13:30-14:30
報(bào)告地點(diǎn)：人民大街校區(qū)數(shù)學(xué)與統(tǒng)計(jì)學(xué)院627室
主講人：Russell Milne
主辦單位：數(shù)學(xué)與統(tǒng)計(jì)學(xué)院
報(bào)告內(nèi)容簡(jiǎn)介：
Blooms of cyanobacteria (CB) can disrupt lake ecosystems by killing large numbers of lake organisms, including members of key fish species. Climate change is projected to exacerbate this problem by increasing water temperatures to be closer to those that facilitate maximum CB growth. This raises the question of how temperature increases, and the more severe CB blooms that result from them, will affect the viability and health of other lake species. To address this, we construct a stoichiometric model that includes common components of an Alberta lake food web (CB, algae, daphnia, yellow perch, walleye), and features the effects of oxygen depletion caused by CB blooms and uptake of microcystin secreted by CB. We fit this model using field data from CB observations in Alberta lakes, and simulate it under different warming scenarios to predict the magnitude and effects of CB blooms in the future.
主講人簡(jiǎn)介：
Dr. Russell Milne is a postdoctoral researcher at the University of Alberta. He is supervised by Prof. Hao Wang within the Interdisciplinary Lab for Mathematical Ecology and Epidemiology, of which he is the co-leader. He received his PhD at the University of Waterloo. He is interested in aquatic ecology (particularly coral reefs and lake environments), and his work typically involves methods at the interface of dynamical systems, data science, and machine learning.
