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Using citizen-science data to identify local hotspots of seabird occurrence

Seabirds have been identified and used as indicators of ecosystem processes such as climate change and human activity in nearshore ecosystems around the globe. Temporal and spatial trends have been documented at large spatial scales, but few studies have examined more localized patterns of spatiotem...

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Autores principales: Ward, Eric J., Marshall, Kristin N., Ross, Toby, Sedgley, Adam, Hass, Todd, Pearson, Scott F., Joyce, Gerald, Hamel, Nathalie J., Hodum, Peter J., Faucett, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304867/
https://www.ncbi.nlm.nih.gov/pubmed/25653898
http://dx.doi.org/10.7717/peerj.704
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author Ward, Eric J.
Marshall, Kristin N.
Ross, Toby
Sedgley, Adam
Hass, Todd
Pearson, Scott F.
Joyce, Gerald
Hamel, Nathalie J.
Hodum, Peter J.
Faucett, Rob
author_facet Ward, Eric J.
Marshall, Kristin N.
Ross, Toby
Sedgley, Adam
Hass, Todd
Pearson, Scott F.
Joyce, Gerald
Hamel, Nathalie J.
Hodum, Peter J.
Faucett, Rob
author_sort Ward, Eric J.
collection PubMed
description Seabirds have been identified and used as indicators of ecosystem processes such as climate change and human activity in nearshore ecosystems around the globe. Temporal and spatial trends have been documented at large spatial scales, but few studies have examined more localized patterns of spatiotemporal variation, by species or functional group. In this paper, we apply spatial occupancy models to assess the spatial patchiness and interannual trends of 18 seabird species in the Puget Sound region (Washington State, USA). Our dataset, the Puget Sound Seabird Survey of the Seattle Audubon Society, is unique in that it represents a seven-year study, collected with a focus on winter months (October–April). Despite historic declines of seabirds in the region over the last 50 years, results from our study are optimistic, suggesting increases in probabilities of occurrence for 14 of the 18 species included. We found support for declines in occurrence for white-winged scoters, brants, and 2 species of grebes. The decline of Western grebes in particular is troubling, but in agreement with other recent studies that have shown support for a range shift south in recent years, to the southern end of California Current.
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spelling pubmed-43048672015-02-04 Using citizen-science data to identify local hotspots of seabird occurrence Ward, Eric J. Marshall, Kristin N. Ross, Toby Sedgley, Adam Hass, Todd Pearson, Scott F. Joyce, Gerald Hamel, Nathalie J. Hodum, Peter J. Faucett, Rob PeerJ Ecology Seabirds have been identified and used as indicators of ecosystem processes such as climate change and human activity in nearshore ecosystems around the globe. Temporal and spatial trends have been documented at large spatial scales, but few studies have examined more localized patterns of spatiotemporal variation, by species or functional group. In this paper, we apply spatial occupancy models to assess the spatial patchiness and interannual trends of 18 seabird species in the Puget Sound region (Washington State, USA). Our dataset, the Puget Sound Seabird Survey of the Seattle Audubon Society, is unique in that it represents a seven-year study, collected with a focus on winter months (October–April). Despite historic declines of seabirds in the region over the last 50 years, results from our study are optimistic, suggesting increases in probabilities of occurrence for 14 of the 18 species included. We found support for declines in occurrence for white-winged scoters, brants, and 2 species of grebes. The decline of Western grebes in particular is troubling, but in agreement with other recent studies that have shown support for a range shift south in recent years, to the southern end of California Current. PeerJ Inc. 2015-01-15 /pmc/articles/PMC4304867/ /pubmed/25653898 http://dx.doi.org/10.7717/peerj.704 Text en © 2015 Ward et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecology
Ward, Eric J.
Marshall, Kristin N.
Ross, Toby
Sedgley, Adam
Hass, Todd
Pearson, Scott F.
Joyce, Gerald
Hamel, Nathalie J.
Hodum, Peter J.
Faucett, Rob
Using citizen-science data to identify local hotspots of seabird occurrence
title Using citizen-science data to identify local hotspots of seabird occurrence
title_full Using citizen-science data to identify local hotspots of seabird occurrence
title_fullStr Using citizen-science data to identify local hotspots of seabird occurrence
title_full_unstemmed Using citizen-science data to identify local hotspots of seabird occurrence
title_short Using citizen-science data to identify local hotspots of seabird occurrence
title_sort using citizen-science data to identify local hotspots of seabird occurrence
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304867/
https://www.ncbi.nlm.nih.gov/pubmed/25653898
http://dx.doi.org/10.7717/peerj.704
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