When the species is also a habitat: Comparing the predictively modelled distributions of Lophelia pertusa and the reef habitat it forms

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Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models (2014, background): “Deep-sea studies using MaxEnt have focussed on large spatial scales (i.e. Davies and Guinotte, 2011; Tittensor et al., 2009; Yesson et al., 2012), with studies emerging on smaller spatial scales (i.e. Howell et al., 2011; Guinotte and Davies 2012).”
The distribution of deep-sea sponge aggregations in the North Atlantic and implications for their effective spatial management (2016, methodology): “Where both approaches have been used results suggest that predicted habitat distribution is a highly restricted subset of predicted species distribution (Howell et al., 2011, Rengstorf et al., 2013).”
Use of predictive habitat modelling to assess the distribution and extent of the current protection of ‘listed’ deep‐sea habitats (2013, methodology): “For each habitat model, ten randomly generated partitions of 75% training/25% test data were compiled manually instead of using the MAXENT replicates setting in order to control for spatial autocorrelation within transects (Howell et al., 2011).”