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Name: Habitat Suitability Models for Deep Sea Corals
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Description: We are using statistical modeling techniques to predict areas of the seafloor that are capable of supporting deep-sea corals. Using a sophisticated statistical machine-learning algorithm called maximum entropy (MaxEnt), we are combining databases of known deep-sea coral locations developed by the NOAA Deep-Sea Coral Research and Technology Program (DSCRTP) with environmental and oceanographic data to generate predictive models of deep-sea coral distribution. These models will be used to produce regional maps of deep-sea coral habitat
Copyright Text: NCCOS-CCMA-Biogeography Branch
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