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The North Atlantic right whale (NARW) population, Eubalaena glacialis, is highly endangered. Reproduction success is thought to depend on availability of their main prey, energy-rich copepods. Thus, abiotic and biotic environmental conditions might be of high importance to determine suitable habitats of the NARW. In the framework of the smartwhales program (Canadian Space Agency), we propose to develop a model to predict North Atlantic Right Whale (NARW) distribution, through the use of a novel integrated dynamic ecological modeling technique. To carry out dynamic habitat modeling, the spatial and temporal distribution of the two main prey species, the copepods Calanus finmarchicus and C. hyperboreus are key. Therefore, our objective here is to accurately predict the distribution of C. finmarchicus and C. hyperboreus over a 5 year hindcast period using a novel Agent-based modeling (ABM) approach.
Gesche Winkler
WSP Canada Inc
Life Sciences
Sustainability & the Environment; Other; Environmental Science and Technology
Université du Québec à Rimouski
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