2013
DOI: 10.1111/fog.12039
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Relative influence of static and dynamic features on black‐footed albatross (Phoebastria nigripes) habitat use in central California Sanctuaries

Abstract: Effective conservation of highly mobile species requires an understanding of the factors that influence their habitat use patterns, locally and within a large‐scale oceanographic context. We characterized the seasonal (chick‐rearing, post‐breeding) and inter‐annual (2004–2008) distribution and abundance of black‐footed albatross (Phoebastria nigripes; BFAL) along the central California continental shelf/slope using standardized vessel‐based surveys. We used a hypothesis‐based information‐theoretic approach to … Show more

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Cited by 12 publications
(17 citation statements)
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“…(5) In particular, current contentions over the effectiveness of protected areas for mobile taxa have made ocean zoning a topical issue in the marine arena (Agardy et al ., ; Williams, ReVelle & Levin, ). Despite the fact that oceanic reserves may need to be framed around adaptive dynamic boundaries (Hooker et al ., ), we claim that large bathymetric features should still provide a robust initial foundation for delineating potentially important marine predator habitats, a view shared by an increasing number of authors (Hyrenbach, Forney & Dayton, ; Michael, Jahncke & Hyrenbach, ). This may be especially relevant in the remote and relatively inaccessible high seas, where biological data remain sparse and ephemeral drivers of wildlife dynamics, like prey availability, are hard or impossible to assess (Grémillet et al ., ).…”
Section: Discussionmentioning
confidence: 97%
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“…(5) In particular, current contentions over the effectiveness of protected areas for mobile taxa have made ocean zoning a topical issue in the marine arena (Agardy et al ., ; Williams, ReVelle & Levin, ). Despite the fact that oceanic reserves may need to be framed around adaptive dynamic boundaries (Hooker et al ., ), we claim that large bathymetric features should still provide a robust initial foundation for delineating potentially important marine predator habitats, a view shared by an increasing number of authors (Hyrenbach, Forney & Dayton, ; Michael, Jahncke & Hyrenbach, ). This may be especially relevant in the remote and relatively inaccessible high seas, where biological data remain sparse and ephemeral drivers of wildlife dynamics, like prey availability, are hard or impossible to assess (Grémillet et al ., ).…”
Section: Discussionmentioning
confidence: 97%
“…Jahncke & Hyrenbach, 2014). This may be especially relevant in the remote and relatively inaccessible high seas, where biological data remain sparse and ephemeral Biological Reviews 90 (2015) 699-728 © 2014 The Authors.…”
mentioning
confidence: 99%
“…Sparse ecological data in remote offshore waters [i.e., beyond the territorial sea baseline, both within exclusive economic zones (EEZs) and beyond; Webb, Vanden Berghe, & O'Dor, ] make the direct identification of critical habitat difficult and call for robust surrogates of biological diversity to predict, delineate and prioritize candidate sites for zoning (McArthur et al, ). Complex topography has been recognized as a determinant of wildlife dynamics across numerous taxa (Bouchet, Meeuwig, Salgado Kent, Letessier, & Jenner, ), which suggests that locating protected areas over sites of rugged terrain could yield a range of conservation gains (Harris & Whiteway, ; Michael, Jahncke, & Hyrenbach, ). Morato et al (), Morato, Hoyle, Allain, and Nicol () and Worm, Lotze, and Myers () illustrated this possibility in the open ocean by showing that North Atlantic and Pacific seamounts were important centres of taxonomic richness of special interest for the management of threatened vertebrates.…”
Section: Introductionmentioning
confidence: 99%
“…depth) and dynamic (e.g. sea surface temperature, SST) environmental variables are widely used in model construction (Michael et al ). Remotely‐sensed data fields are most often used as dynamic variables (Block et al , Nur et al , Becker et al , Pikesley et al ), although oceanographic models (e.g.…”
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confidence: 99%