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This group of layers 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. |
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summary:
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This group of layers 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. |
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accessInformation:
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Sterne TK, Retchless D, Allee R, Highfield W. 2020. Predictive modelling of mesophotic habitats in the north-western Gulf of Mexico. Aquatic Conservation: Marine and Freshwater Ecosystems 30:846-859. |
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description:
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<DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are rasters representing predictions from predictive habitat modeling. The layers specifically display predictions from the modeling study associated with the unique dataset identifier PHM000002 (Sterne et al. 2020). A maximum entropy and multinomial logistic regression modeling framework was applied to presence-background data to predict most likely habitat type at a spatial resolution of 10 m.</SPAN></P></DIV></DIV> |
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title:
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Study #2 |
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en-US |
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