2017
DOI: 10.1371/journal.pone.0169517
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Modeling Nonresident Seabird Foraging Distributions to Inform Ocean Zoning in Central California

Abstract: Seabird aggregations at sea have been shown to be associated with concentrations of prey. Previous research identified Central California as a highly used foraging area for seabirds, with locally breeding seabirds foraging close to their colonies on Southeast Farallon Island. Herein, we focus on nonresident (i.e. non-locally breeding) seabird species off of Central California. We hypothesized that high-use foraging areas for nonresident seabirds would be influenced by oceanographic and bathymetric factors and … Show more

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Cited by 11 publications
(7 citation statements)
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References 63 publications
(87 reference statements)
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“…This process takes time to make its way up the food chain. We calculated lags of 1, 2, and 3 months to account for such potential delays [ 43 , 44 ].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…This process takes time to make its way up the food chain. We calculated lags of 1, 2, and 3 months to account for such potential delays [ 43 , 44 ].…”
Section: Methodsmentioning
confidence: 99%
“…All statistical analyses were carried out with Stata 16.1 (Stata Corp., 2019). Negative binomial regression modeling is recommended when count variables have a high variance, i.e., are over-dispersed [ 36 , 44 , 45 ]. We modeled weekly whale counts as a function of year to determine overall trends through time, incorporated month (as a quantitative variable) to account for seasonality within the year, and tested for any interactions between year and month.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Habitat models (or species distribution models, SDMs) provide correlative insight into the biophysical features that may drive habitat preference across a wide variety of taxa, scales, and environments (Guisan & Zimmermann, 2000). Habitat models have provided novel tools for assessing and predicting how animals interact with their environment and are increasingly used for ecological and conservation-relevant research (Barbet-Massin, Jiguet, Albert, & Thuiller, 2012;Buckley et al, 2010;Dambach & Rödder, 2011;Elith & Leathwick, 2009;Studwell et al, 2017;Zydelis et al, 2011). Most recently, marine SDMs have been used to identify critical habitat of understudied populations, improve our understanding of distributional shifts in habitat under changing ocean conditions, and support commercial and protected species management (Carvalho, Brito, Crespo, Watts, & Possingham, 2011;Eguchi, Benson, Foley, & Forney, 2017;Hazen et al, 2016;Hobday, Hartog, Spillman, Alves, & Hilborn, 2011;Hooker et al, 2011;Skov et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Protec ted waters surrounding important land-based habitat, such as breeding colonies, must be adequately sized to accommodate the movements of potentially wide-ranging animals in order to maximize efficacy (Thaxter et al 2012). Geographically static marine protected areas may provide inadequate coverage when dynamic ocean processes are taken into account; therefore spatial use assessments can provide information on adequacy and efficiency of bounded conservation areas (Studwell et al 2017).…”
Section: Introductionmentioning
confidence: 99%