Using habitat models to identify suitable sites for marine protected areas for harbour porpoises (Phocoena phocoena)
By C. Embling, P. Gillibrand, J. Gordon, J. Shrimpton, P. Stevick, P. Hammond. 2010
165 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/89f1e2f0e71cdeed151b98d9714e44e16810ac76
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- K. Howell
- Rebecca E. Ross
- Jane Elith
- Hugh P. Possingham
- Elizabeth A. Becker
- Richard G. Pearson
- Gordon Hastie
- B. Wilson
In Global and Planetary Change
- Jane Elith
- K. Howell
- Hugh P. Possingham
- Anthony J. Richardson
- Rebecca E. Ross
- Ursula Siebert
- Elizabeth A. Becker
- Richard G. Pearson
Citations in the corpus
- Confusion reigns? A review of marine megafauna interactions with tidal-stream environments (2015, result): “In contrast, Embling et al. (2010), analysing results from dedicated cetacean surveys from the southern Inner Hebrides (Scotland), found that porpoise distribution was best explained by tidal currents, with higher densities predicted in areas of low current.”
- When the species is also a habitat: Comparing the predictively modelled distributions of Lophelia pertusa and the reef habitat it forms (2011, methodology): “…and expense of collecting species and habitat distribution data has led to the approach of using surrogates (Howell, 2010) and/or predictive species modelling techniques to provide maps of the distribution of vulnerable species (Bryan and Metaxas, 2007; Holmes et al., 2007; Embling et al., 2010).”
- Seasonal habitat-based density models for a marine top predator, the harbor porpoise, in a dynamic environment (2016, background): “…porpoises, both static variables (e.g., water depth) and dynamic variables (e.g., currents, tide- related variables, chlorophyll) have been shown to explain spatial distribution patterns (Marubini et al. 2009, Embling et al. 2010, Gilles et al. 2011, Booth et al. 2013, IJsseldijk et al. 2015).”
- Use of predictive habitat modelling to assess the distribution and extent of the current protection of ‘listed’ deep‐sea habitats (2013, background): “Predictive modelling of species distributions (Bryan & Metaxas, 2007; Holmes et al., 2007; Embling et al., 2010; Howell et al., 2011) provides a robust defensible means to ‘fill in the gaps’ and provide complete coverage maps on which to base management decisions.”
- Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, background): “…mammals have informed Global Ecology and Biogeography, 20, 789–802, © 2011 Blackwell Publishing Ltd 791 habitat conservation (Bailey & Thompson, 2009; Embling et al., 2010), provided understanding of fisheries interactions (Torres et al., 2003; Kaschner et al., 2006) and helped exploration of the…”