Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds.
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O’Connell, Allan F.
Miller, Peter I.
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The number and complexity of modelling techniques used to predict species distributions has increased substantially over the past decades (Hegel et al., 2010), and several comparisons of model performance have been carried out for terrestrial species (e.g., Elith and Graham, 2009; Elith et al., 2006; Segurado and Araújo, 2004). In contrast, the marine environment is less studied and more challenging given its dynamic nature (Ready et al., 2010; Robinson et al., 2011; Wakefield et al., 2009). Furthermore, seabirds are highly mobile species, and their presence at certain locations varies temporally depending on whether an area is used during the breeding season, as a migration stopover, or as moult refuge (Tremblay et al., 2009). A comparison of the performance of different models that predict distributions and abundances of seabirds based on shipboard survey data has to our knowledge only been explored for one coastal species (Yen et al., 2004), yet the bourgeoning interest in.....
Sustainable Development Goals (SDG)14.a
Essential Ocean Variables (EOV)Marine turtles, birds, mammals abundance and distribution
CitationOppel S., Meirinho A., Ramirez I., Gardner B., O'Connell A.F., Miller P.I. and Louzao M. (2012) Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds. Biological Conservation, 156, pp.94-104. DOI: https://doi.org/10.1016/j.biocon.2011.11.013