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snippet: This layer is part of a collection and inventory of seafloor mapping, ground-truthing, and predictive habitat modeling data within the Gulf of Mexico. The inventory was compiled to support the mesophotic and deep benthic community (MDBC) portfolio that aims to restore MDBC in the Gulf of Mexico as part of a Natural Resources Damage Assessment (NRDA) following the Deepwater Horizon Oil Spill.
summary: This layer is part of a collection and inventory of seafloor mapping, ground-truthing, and predictive habitat modeling data within the Gulf of Mexico. The inventory was compiled to support the mesophotic and deep benthic community (MDBC) portfolio that aims to restore MDBC in the Gulf of Mexico as part of a Natural Resources Damage Assessment (NRDA) following the Deepwater Horizon Oil Spill.
accessInformation: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
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description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
licenseInfo: NOAA makes no warranties or representations whatsoever regarding the availability, quality, accuracy, content, completeness or suitability for the user's needs of such information.
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title: PHM000001 Leiopathes probability of occurrence
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tags: ["TBD"]
culture: en-US
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