Applications and future challenges in marine species distribution modeling

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The distribution of deep-sea sponge aggregations in the North Atlantic and implications for their effective spatial management (2016, background): “…first step in developing environmental management strategies, predictive habitat modelling provides a means to produce full coverage spatial data where distribution information is lacking (Elith and Leathwick 2009; Galparsoro et al., 2009; Dambach and Rodder 2011; , , Robinson et al., 2011).”
Projected climate change and the changing biogeography of coastal Mediterranean fishes (2013, background): “The bathymetric distribution is a third component to consider when modelling the distributions of marine fish species as different environmental factors (e.g. temperature, oxygen) are likely to influence habitat suitability at different depth ranges (Dambach & Rödder, 2011).”