Breeding together: modeling synchrony in productivity in a seabird community

With environmental conditions changing rapidly, there is a need to move beyond single‐species models and consider how communities respond to environmental drivers. We present a modeling approach that allows estimation of multispecies synchrony in productivity, or its components, and the contribution...

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Published in:Ecology
Main Authors: Lahoz-Monfort, José J., Morgan, Byron J. T., Harris, Michael P., Daunt, Francis, Wanless, Sarah, Freeman, Stephen N.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2013
Subjects:
Online Access:http://dx.doi.org/10.1890/12-0500.1
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spelling crwiley:10.1890/12-0500.1 2024-06-23T07:55:08+00:00 Breeding together: modeling synchrony in productivity in a seabird community Lahoz-Monfort, José J. Morgan, Byron J. T. Harris, Michael P. Daunt, Francis Wanless, Sarah Freeman, Stephen N. 2013 http://dx.doi.org/10.1890/12-0500.1 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F12-0500.1 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/12-0500.1 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Ecology volume 94, issue 1, page 3-10 ISSN 0012-9658 1939-9170 journal-article 2013 crwiley https://doi.org/10.1890/12-0500.1 2024-06-06T04:23:16Z With environmental conditions changing rapidly, there is a need to move beyond single‐species models and consider how communities respond to environmental drivers. We present a modeling approach that allows estimation of multispecies synchrony in productivity, or its components, and the contribution of environmental covariates as synchronizing and desynchronizing agents. We apply the model to long‐term breeding success data for five seabird species at a North Atlantic colony. Our Bayesian analysis reveals varying degrees of synchrony in overall productivity, with a common signal indicating a significant decline in productivity between 1986 and 2009. Productivity in seabirds reflects conditions in the marine ecosystem so the estimated synchronous component is a useful indicator of local marine environment health. For the two species for which we have most data, the environmental contribution to overall productivity synchrony is driven principally by effects operating at the chick stage rather than during incubation. Our results emphasize the importance of studying together species that coexist in a community. The framework, which accommodates interspecific clutch‐size variation, is readily applicable to any species assemblage in any ecosystem where long‐term productivity data are available. Article in Journal/Newspaper North Atlantic Wiley Online Library Ecology 94 1 3 10
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description With environmental conditions changing rapidly, there is a need to move beyond single‐species models and consider how communities respond to environmental drivers. We present a modeling approach that allows estimation of multispecies synchrony in productivity, or its components, and the contribution of environmental covariates as synchronizing and desynchronizing agents. We apply the model to long‐term breeding success data for five seabird species at a North Atlantic colony. Our Bayesian analysis reveals varying degrees of synchrony in overall productivity, with a common signal indicating a significant decline in productivity between 1986 and 2009. Productivity in seabirds reflects conditions in the marine ecosystem so the estimated synchronous component is a useful indicator of local marine environment health. For the two species for which we have most data, the environmental contribution to overall productivity synchrony is driven principally by effects operating at the chick stage rather than during incubation. Our results emphasize the importance of studying together species that coexist in a community. The framework, which accommodates interspecific clutch‐size variation, is readily applicable to any species assemblage in any ecosystem where long‐term productivity data are available.
format Article in Journal/Newspaper
author Lahoz-Monfort, José J.
Morgan, Byron J. T.
Harris, Michael P.
Daunt, Francis
Wanless, Sarah
Freeman, Stephen N.
spellingShingle Lahoz-Monfort, José J.
Morgan, Byron J. T.
Harris, Michael P.
Daunt, Francis
Wanless, Sarah
Freeman, Stephen N.
Breeding together: modeling synchrony in productivity in a seabird community
author_facet Lahoz-Monfort, José J.
Morgan, Byron J. T.
Harris, Michael P.
Daunt, Francis
Wanless, Sarah
Freeman, Stephen N.
author_sort Lahoz-Monfort, José J.
title Breeding together: modeling synchrony in productivity in a seabird community
title_short Breeding together: modeling synchrony in productivity in a seabird community
title_full Breeding together: modeling synchrony in productivity in a seabird community
title_fullStr Breeding together: modeling synchrony in productivity in a seabird community
title_full_unstemmed Breeding together: modeling synchrony in productivity in a seabird community
title_sort breeding together: modeling synchrony in productivity in a seabird community
publisher Wiley
publishDate 2013
url http://dx.doi.org/10.1890/12-0500.1
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F12-0500.1
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/12-0500.1
genre North Atlantic
genre_facet North Atlantic
op_source Ecology
volume 94, issue 1, page 3-10
ISSN 0012-9658 1939-9170
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1890/12-0500.1
container_title Ecology
container_volume 94
container_issue 1
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