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Recent Blog Post

Fuzzy logic modeling: fish at risk

Published 2017-10-10

Photo: Australian Museum A new study published in the journal Global Change Biology, uses a modeling approach to identify fish and shellfish species that are most susceptible to the impacts of climate change. Because there is limited data on the biological ecological attributes in many marine fishes, the authors of this study used a “fuzzy logic approach” to infer the vulnerability levels of species to changes in the environment. This modeling approach accommodates for the inherent variability in the data available and uncertainties that are associated with climate projections and... (more)