Predicting suitable habitat for the cold-water coral Lophelia pertusa (Scleractinia)

By Andrew J. Davies, M. Wisshak, J. Orr, J. M. Roberts. 2008

298 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/ff0687ab8c07a291dbdb53fb427710a5f28df359

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In Ecology

In Global and Planetary Change

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Citations in the corpus

When the species is also a habitat: Comparing the predictively modelled distributions of Lophelia pertusa and the reef habitat it forms (2011, background): “pertusa from global to local scales, in order to identify areas of conservation importance (Davies et al., 2008; Dolan et al., 2008; Guinan et al., 2009b; Tittensor et al., 2009).”
Predicting global habitat suitability for stony corals on seamounts (2009, unknown): “ENFA is, as far as we know, the only habitat-suitability model previously applied to cold-water corals: regionally for gorgonians (Bryan & Metaxas, 2007), and globally for the reef-forming scleractinian Lophelia pertusa (Davies et al. , 2008).”
Acclimation to ocean acidification during long‐term CO2 exposure in the cold‐water coral Lophelia pertusa (2012, background): “As expected, all nutrients increased in concentrations due to biological activity, but final concentrations were in the same range or lower than concentrations reported for CWC habitats in the north-east Atlantic (Davies et al., 2008).”
The cold‐water coral community as hotspot of carbon cycling on continental margins: A food‐web analysis from Rockall Bank (northeast Atlantic) (2009, background): “Ecological research on CWC communities has focused in particular on mapping and analysis of CWC occurrences in relation to seabed topography and environmental conditions in order to understand their distribution (Davies et al. 2008).”
Global habitat suitability of cold‐water octocorals (2012, methodology): “For Scleractinia, environmental niche factor analysis (ENFA) and maximum entropy (Maxent) models have been employed at both the species level, for Lophelia pertusa, a major reef-forming coldwater coral (Davies et al., 2008), for framework-forming scleractinians (Davies & Guinotte, 2011) and for all ”
Benthic habitat mapping: A review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques (2011, background): “(Davies et al., 2008) x x x x x x x x x x x”
Deep, diverse and definitely different: unique attributes of the world's largest ecosystem (2010, background): “…these sampling limitations, new species distribution modelling techniques and statistical methods have shown promise in the extrapolation of large-scale or global patterns of habitat suitability and potential distribution from existing deep-sea samples (Davies et al., 2008; Tittensor et al., 2009).”
Lipid biomarkers reveal geographical differences in food supply to the cold-water coral Lophelia pertusa (Scleractinia) (2009, background): “…is supported by surface production (Duineveld et al. 2004) rather than a chemosynthetic food chain, with recent spatial meta-analysis showing that cold-water corals are associated with areas where surface waters show above average primary productivity (Guinotte et al. 2006, Davies et al. 2008).”
Use of predictive habitat modelling to assess the distribution and extent of the current protection of ‘listed’ deep‐sea habitats (2013, background): “…found on topographic highs and sloping bathymetry (Strømgren, 1971; Genin et al., 1986; Frederiksen et al., 1992; Davies et al., 2008) in areas of strong currents and high productivity (Mortensen et al., 2001; White et al., 2005; Thiem et al., 2006; Kiriakoulakis et al., 2007; Davies et al., 2008).”
Habitat-forming cold-water corals show affinity for seamounts in the New Zealand region (2011, methodology): “…containing only 5 damaged corallites, was sampled on the Macquarie Ridge to the south of New Zealand (51° S, 162° 01’E, 333 to 371 m), during the ‘Eltanin’ survey in 1965 (sample number US47525; Eltanin 1411), and this record has appeared on many global maps of Lophelia (e.g. Davies et al. 2008).”
Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models (2014, methodology): “As a result of this, inconsistencies were observed between those temperature values extracted from the environmental grid and the known thermal tolerance of the species (Davies et al., 2008).”
The distribution of deep-sea sponge aggregations in the North Atlantic and implications for their effective spatial management (2016, background): “The first models the distribution of the species (Davies et al.,2008, Dolan et al., 2008, Guinan et al., 2009), the second models the distribution of the habitat (Ross and Howell, 2013; Ross et al., 2015).”