A generalized additive modelling (GAM) approach is used to describe the abundance of 40 species groups (i.e. functional groups) across the Gulf of Mexico (GoM) using a large fisheries independent data set (SEAMAP) and climate scale oceanographic conditions. Predictor variables included in the model are chlorophyll a, sediment type, dissolved oxygen, temperature, and depth. The GAM approach was shown to be robust despite zero-inflated data. article: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0064458
These data provide continuous spatial coverage for fish and invertebrate abundance distributions needed to initialize the Gulf of Mexico Atlantis ecosystem model currently in development for the C-IMAGE project.
species distribution, fish distribution, atlantis, ecosystem model, oil spill, Deepwater Horizon oil spill, fisheries
3-18-2016 12:00 AM
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Scholar Commons Citation
Drexler, Michael, "Spatial distributions of fish and invertebrates in the Gulf of Mexico for 2010-01-01 estimated using a statistical model" (2016). C-IMAGE data. Paper 9.