Ocean observatory data are useful for regional habitat modeling of species with different vertical habitat preferences
Ocean Observing Systems (OOS) now monitor and model the coastal ocean at scales required to capture variability in important habitat forming processes including upwelling/downwelling, primary productivity, advection and frontal convergence. Manderson and co-investigators used statistical modeling to confirm that remotely sensed data provided by OOS improves the explanatory power of distribution-based habitat models regardless of the vertical habitat preference of the animals. The authors argue that since OOS describe fundamental physical and biological processes affecting energetics and the development of food webs supporting animals in the sea, dynamic habitat models informed by OOS could be operationalized and considered in the development of strategies of space- and time-based coastal ocean management.
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