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description Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Norway, United Kingdom, United Kingdom, France, United KingdomPublisher:Wiley Keogan, Katharine; Daunt, Francis; Wanless, Sarah; Phillips, Richard A.; Alvarez, David; Anker-Nilssen, Tycho; Barrett, Robert T.; Bech, Claus; Becker, Peter H.; Berglund, Per-Arvid; Bouwhuis, Sandra; Burr, Zofia M.; Chastel, Olivier; Christensen-Dalsgaard, Signe; Descamps, Sébastien; Diamond, Tony; Elliott, Kyle; Erikstad, Kjell Einar; Harris, Mike; Hentati-Sundberg, Jonas; Heubeck, Martin; Kress, Stephen W.; Langset, Magdalene; Lorensten, Svein-Håkon; Major, Heather L.; Whalley, Heather; Mallory, Mark; Mellor, Mick; Miles, Will T. S.; Moe, Børge; Mostello, Carolyn; Newell, Mark; Nisbet, Ian; Reiertsen, Tone Kirstin; Rock, Jennifer; Shannon, Paula; Varpe, Øystein; Lewis, Sue; Phillimore, Albert B.;AbstractTiming of breeding, an important driver of fitness in many populations, is widely studied in the context of global change, yet despite considerable efforts to identify environmental drivers of seabird nesting phenology, for most populations we lack evidence of strong drivers. Here we adopt an alternative approach, examining the degree to which different populations positively covary in their annual phenology to infer whether phenological responses to environmental drivers are likely to be (a) shared across species at a range of spatial scales, (b) shared across populations of a species or (c) idiosyncratic to populations.We combined 51 long‐term datasets on breeding phenology spanning 50 years from nine seabird species across 29 North Atlantic sites and examined the extent to which different populations share early versus late breeding seasons depending on a hierarchy of spatial scales comprising breeding site, small‐scale region, large‐scale region and the whole North Atlantic.In about a third of cases, we found laying dates of populations of different species sharing the same breeding site or small‐scale breeding region were positively correlated, which is consistent with the hypothesis that they share phenological responses to the same environmental conditions. In comparison, we found no evidence for positive phenological covariation among populations across species aggregated at larger spatial scales.In general, we found little evidence for positive phenological covariation between populations of a single species, and in many instances the inter‐year variation specific to a population was substantial, consistent with each population responding idiosyncratically to local environmental conditions. Black‐legged kittiwakeRissa tridactylawas the exception, with populations exhibiting positive covariation in laying dates that decayed with the distance between breeding sites, suggesting that populations may be responding to a similar driver.Our approach sheds light on the potential factors that may drive phenology in our study species, thus furthering our understanding of the scales at which different seabirds interact with interannual variation in their environment. We also identify additional systems and phenological questions to which our inferential approach could be applied.
Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Norway, United Kingdom, United Kingdom, France, United KingdomPublisher:Wiley Keogan, Katharine; Daunt, Francis; Wanless, Sarah; Phillips, Richard A.; Alvarez, David; Anker-Nilssen, Tycho; Barrett, Robert T.; Bech, Claus; Becker, Peter H.; Berglund, Per-Arvid; Bouwhuis, Sandra; Burr, Zofia M.; Chastel, Olivier; Christensen-Dalsgaard, Signe; Descamps, Sébastien; Diamond, Tony; Elliott, Kyle; Erikstad, Kjell Einar; Harris, Mike; Hentati-Sundberg, Jonas; Heubeck, Martin; Kress, Stephen W.; Langset, Magdalene; Lorensten, Svein-Håkon; Major, Heather L.; Whalley, Heather; Mallory, Mark; Mellor, Mick; Miles, Will T. S.; Moe, Børge; Mostello, Carolyn; Newell, Mark; Nisbet, Ian; Reiertsen, Tone Kirstin; Rock, Jennifer; Shannon, Paula; Varpe, Øystein; Lewis, Sue; Phillimore, Albert B.;AbstractTiming of breeding, an important driver of fitness in many populations, is widely studied in the context of global change, yet despite considerable efforts to identify environmental drivers of seabird nesting phenology, for most populations we lack evidence of strong drivers. Here we adopt an alternative approach, examining the degree to which different populations positively covary in their annual phenology to infer whether phenological responses to environmental drivers are likely to be (a) shared across species at a range of spatial scales, (b) shared across populations of a species or (c) idiosyncratic to populations.We combined 51 long‐term datasets on breeding phenology spanning 50 years from nine seabird species across 29 North Atlantic sites and examined the extent to which different populations share early versus late breeding seasons depending on a hierarchy of spatial scales comprising breeding site, small‐scale region, large‐scale region and the whole North Atlantic.In about a third of cases, we found laying dates of populations of different species sharing the same breeding site or small‐scale breeding region were positively correlated, which is consistent with the hypothesis that they share phenological responses to the same environmental conditions. In comparison, we found no evidence for positive phenological covariation among populations across species aggregated at larger spatial scales.In general, we found little evidence for positive phenological covariation between populations of a single species, and in many instances the inter‐year variation specific to a population was substantial, consistent with each population responding idiosyncratically to local environmental conditions. Black‐legged kittiwakeRissa tridactylawas the exception, with populations exhibiting positive covariation in laying dates that decayed with the distance between breeding sites, suggesting that populations may be responding to a similar driver.Our approach sheds light on the potential factors that may drive phenology in our study species, thus furthering our understanding of the scales at which different seabirds interact with interannual variation in their environment. We also identify additional systems and phenological questions to which our inferential approach could be applied.
Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Germany, Netherlands, Netherlands, United StatesPublisher:Oxford University Press (OUP) Caroline M Williams; Gregory J Ragland; Gustavo Betini; Lauren B Buckley; Zachary A Cheviron; Kathleen Donohue; Joe Hereford; Murray M Humphries; Simeon Lisovski; Katie E Marshall; Paul S Schmidt; Kimberly S Sheldon; Øystein Varpe; Marcel E Visser;Seasonality is a critically important aspect of environmental variability, and strongly shapes all aspects of life for organisms living in highly seasonal environments. Seasonality has played a key role in generating biodiversity, and has driven the evolution of extreme physiological adaptations and behaviors such as migration and hibernation. Fluctuating selection pressures on survival and fecundity between summer and winter provide a complex selective landscape, which can be met by a combination of three outcomes of adaptive evolution: genetic polymorphism, phenotypic plasticity, and bet-hedging. Here, we have identified four important research questions with the goal of advancing our understanding of evolutionary impacts of seasonality. First, we ask how characteristics of environments and species will determine which adaptive response occurs. Relevant characteristics include costs and limits of plasticity, predictability, and reliability of cues, and grain of environmental variation relative to generation time. A second important question is how phenological shifts will amplify or ameliorate selection on physiological hardiness. Shifts in phenology can preserve the thermal niche despite shifts in climate, but may fail to completely conserve the niche or may even expose life stages to conditions that cause mortality. Considering distinct environmental sensitivities of life history stages will be key to refining models that forecast susceptibility to climate change. Third, we must identify critical physiological phenotypes that underlie seasonal adaptation and work toward understanding the genetic architectures of these responses. These architectures are key for predicting evolutionary responses. Pleiotropic genes that regulate multiple responses to changing seasons may facilitate coordination among functionally related traits, or conversely may constrain the expression of optimal phenotypes. Finally, we must advance our understanding of how changes in seasonal fluctuations are impacting ecological interaction networks. We should move beyond simple dyadic interactions, such as predator prey dynamics, and understand how these interactions scale up to affect ecological interaction networks. As global climate change alters many aspects of seasonal variability, including extreme events and changes in mean conditions, organisms must respond appropriately or go extinct. The outcome of adaptation to seasonality will determine responses to climate change.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 102 citations 102 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Germany, Netherlands, Netherlands, United StatesPublisher:Oxford University Press (OUP) Caroline M Williams; Gregory J Ragland; Gustavo Betini; Lauren B Buckley; Zachary A Cheviron; Kathleen Donohue; Joe Hereford; Murray M Humphries; Simeon Lisovski; Katie E Marshall; Paul S Schmidt; Kimberly S Sheldon; Øystein Varpe; Marcel E Visser;Seasonality is a critically important aspect of environmental variability, and strongly shapes all aspects of life for organisms living in highly seasonal environments. Seasonality has played a key role in generating biodiversity, and has driven the evolution of extreme physiological adaptations and behaviors such as migration and hibernation. Fluctuating selection pressures on survival and fecundity between summer and winter provide a complex selective landscape, which can be met by a combination of three outcomes of adaptive evolution: genetic polymorphism, phenotypic plasticity, and bet-hedging. Here, we have identified four important research questions with the goal of advancing our understanding of evolutionary impacts of seasonality. First, we ask how characteristics of environments and species will determine which adaptive response occurs. Relevant characteristics include costs and limits of plasticity, predictability, and reliability of cues, and grain of environmental variation relative to generation time. A second important question is how phenological shifts will amplify or ameliorate selection on physiological hardiness. Shifts in phenology can preserve the thermal niche despite shifts in climate, but may fail to completely conserve the niche or may even expose life stages to conditions that cause mortality. Considering distinct environmental sensitivities of life history stages will be key to refining models that forecast susceptibility to climate change. Third, we must identify critical physiological phenotypes that underlie seasonal adaptation and work toward understanding the genetic architectures of these responses. These architectures are key for predicting evolutionary responses. Pleiotropic genes that regulate multiple responses to changing seasons may facilitate coordination among functionally related traits, or conversely may constrain the expression of optimal phenotypes. Finally, we must advance our understanding of how changes in seasonal fluctuations are impacting ecological interaction networks. We should move beyond simple dyadic interactions, such as predator prey dynamics, and understand how these interactions scale up to affect ecological interaction networks. As global climate change alters many aspects of seasonal variability, including extreme events and changes in mean conditions, organisms must respond appropriately or go extinct. The outcome of adaptation to seasonality will determine responses to climate change.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 102 citations 102 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Norway, United Kingdom, United Kingdom, France, United KingdomPublisher:Wiley Keogan, Katharine; Daunt, Francis; Wanless, Sarah; Phillips, Richard A.; Alvarez, David; Anker-Nilssen, Tycho; Barrett, Robert T.; Bech, Claus; Becker, Peter H.; Berglund, Per-Arvid; Bouwhuis, Sandra; Burr, Zofia M.; Chastel, Olivier; Christensen-Dalsgaard, Signe; Descamps, Sébastien; Diamond, Tony; Elliott, Kyle; Erikstad, Kjell Einar; Harris, Mike; Hentati-Sundberg, Jonas; Heubeck, Martin; Kress, Stephen W.; Langset, Magdalene; Lorensten, Svein-Håkon; Major, Heather L.; Whalley, Heather; Mallory, Mark; Mellor, Mick; Miles, Will T. S.; Moe, Børge; Mostello, Carolyn; Newell, Mark; Nisbet, Ian; Reiertsen, Tone Kirstin; Rock, Jennifer; Shannon, Paula; Varpe, Øystein; Lewis, Sue; Phillimore, Albert B.;AbstractTiming of breeding, an important driver of fitness in many populations, is widely studied in the context of global change, yet despite considerable efforts to identify environmental drivers of seabird nesting phenology, for most populations we lack evidence of strong drivers. Here we adopt an alternative approach, examining the degree to which different populations positively covary in their annual phenology to infer whether phenological responses to environmental drivers are likely to be (a) shared across species at a range of spatial scales, (b) shared across populations of a species or (c) idiosyncratic to populations.We combined 51 long‐term datasets on breeding phenology spanning 50 years from nine seabird species across 29 North Atlantic sites and examined the extent to which different populations share early versus late breeding seasons depending on a hierarchy of spatial scales comprising breeding site, small‐scale region, large‐scale region and the whole North Atlantic.In about a third of cases, we found laying dates of populations of different species sharing the same breeding site or small‐scale breeding region were positively correlated, which is consistent with the hypothesis that they share phenological responses to the same environmental conditions. In comparison, we found no evidence for positive phenological covariation among populations across species aggregated at larger spatial scales.In general, we found little evidence for positive phenological covariation between populations of a single species, and in many instances the inter‐year variation specific to a population was substantial, consistent with each population responding idiosyncratically to local environmental conditions. Black‐legged kittiwakeRissa tridactylawas the exception, with populations exhibiting positive covariation in laying dates that decayed with the distance between breeding sites, suggesting that populations may be responding to a similar driver.Our approach sheds light on the potential factors that may drive phenology in our study species, thus furthering our understanding of the scales at which different seabirds interact with interannual variation in their environment. We also identify additional systems and phenological questions to which our inferential approach could be applied.
Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Norway, United Kingdom, United Kingdom, France, United KingdomPublisher:Wiley Keogan, Katharine; Daunt, Francis; Wanless, Sarah; Phillips, Richard A.; Alvarez, David; Anker-Nilssen, Tycho; Barrett, Robert T.; Bech, Claus; Becker, Peter H.; Berglund, Per-Arvid; Bouwhuis, Sandra; Burr, Zofia M.; Chastel, Olivier; Christensen-Dalsgaard, Signe; Descamps, Sébastien; Diamond, Tony; Elliott, Kyle; Erikstad, Kjell Einar; Harris, Mike; Hentati-Sundberg, Jonas; Heubeck, Martin; Kress, Stephen W.; Langset, Magdalene; Lorensten, Svein-Håkon; Major, Heather L.; Whalley, Heather; Mallory, Mark; Mellor, Mick; Miles, Will T. S.; Moe, Børge; Mostello, Carolyn; Newell, Mark; Nisbet, Ian; Reiertsen, Tone Kirstin; Rock, Jennifer; Shannon, Paula; Varpe, Øystein; Lewis, Sue; Phillimore, Albert B.;AbstractTiming of breeding, an important driver of fitness in many populations, is widely studied in the context of global change, yet despite considerable efforts to identify environmental drivers of seabird nesting phenology, for most populations we lack evidence of strong drivers. Here we adopt an alternative approach, examining the degree to which different populations positively covary in their annual phenology to infer whether phenological responses to environmental drivers are likely to be (a) shared across species at a range of spatial scales, (b) shared across populations of a species or (c) idiosyncratic to populations.We combined 51 long‐term datasets on breeding phenology spanning 50 years from nine seabird species across 29 North Atlantic sites and examined the extent to which different populations share early versus late breeding seasons depending on a hierarchy of spatial scales comprising breeding site, small‐scale region, large‐scale region and the whole North Atlantic.In about a third of cases, we found laying dates of populations of different species sharing the same breeding site or small‐scale breeding region were positively correlated, which is consistent with the hypothesis that they share phenological responses to the same environmental conditions. In comparison, we found no evidence for positive phenological covariation among populations across species aggregated at larger spatial scales.In general, we found little evidence for positive phenological covariation between populations of a single species, and in many instances the inter‐year variation specific to a population was substantial, consistent with each population responding idiosyncratically to local environmental conditions. Black‐legged kittiwakeRissa tridactylawas the exception, with populations exhibiting positive covariation in laying dates that decayed with the distance between breeding sites, suggesting that populations may be responding to a similar driver.Our approach sheds light on the potential factors that may drive phenology in our study species, thus furthering our understanding of the scales at which different seabirds interact with interannual variation in their environment. We also identify additional systems and phenological questions to which our inferential approach could be applied.
Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Edinburgh Research E... arrow_drop_down St Andrews Research RepositoryArticle . 2022 . Peer-reviewedData sources: St Andrews Research RepositoryJournal of Animal EcologyArticle . 2022 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2656.13758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Germany, Netherlands, Netherlands, United StatesPublisher:Oxford University Press (OUP) Caroline M Williams; Gregory J Ragland; Gustavo Betini; Lauren B Buckley; Zachary A Cheviron; Kathleen Donohue; Joe Hereford; Murray M Humphries; Simeon Lisovski; Katie E Marshall; Paul S Schmidt; Kimberly S Sheldon; Øystein Varpe; Marcel E Visser;Seasonality is a critically important aspect of environmental variability, and strongly shapes all aspects of life for organisms living in highly seasonal environments. Seasonality has played a key role in generating biodiversity, and has driven the evolution of extreme physiological adaptations and behaviors such as migration and hibernation. Fluctuating selection pressures on survival and fecundity between summer and winter provide a complex selective landscape, which can be met by a combination of three outcomes of adaptive evolution: genetic polymorphism, phenotypic plasticity, and bet-hedging. Here, we have identified four important research questions with the goal of advancing our understanding of evolutionary impacts of seasonality. First, we ask how characteristics of environments and species will determine which adaptive response occurs. Relevant characteristics include costs and limits of plasticity, predictability, and reliability of cues, and grain of environmental variation relative to generation time. A second important question is how phenological shifts will amplify or ameliorate selection on physiological hardiness. Shifts in phenology can preserve the thermal niche despite shifts in climate, but may fail to completely conserve the niche or may even expose life stages to conditions that cause mortality. Considering distinct environmental sensitivities of life history stages will be key to refining models that forecast susceptibility to climate change. Third, we must identify critical physiological phenotypes that underlie seasonal adaptation and work toward understanding the genetic architectures of these responses. These architectures are key for predicting evolutionary responses. Pleiotropic genes that regulate multiple responses to changing seasons may facilitate coordination among functionally related traits, or conversely may constrain the expression of optimal phenotypes. Finally, we must advance our understanding of how changes in seasonal fluctuations are impacting ecological interaction networks. We should move beyond simple dyadic interactions, such as predator prey dynamics, and understand how these interactions scale up to affect ecological interaction networks. As global climate change alters many aspects of seasonal variability, including extreme events and changes in mean conditions, organisms must respond appropriately or go extinct. The outcome of adaptation to seasonality will determine responses to climate change.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 102 citations 102 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Germany, Netherlands, Netherlands, United StatesPublisher:Oxford University Press (OUP) Caroline M Williams; Gregory J Ragland; Gustavo Betini; Lauren B Buckley; Zachary A Cheviron; Kathleen Donohue; Joe Hereford; Murray M Humphries; Simeon Lisovski; Katie E Marshall; Paul S Schmidt; Kimberly S Sheldon; Øystein Varpe; Marcel E Visser;Seasonality is a critically important aspect of environmental variability, and strongly shapes all aspects of life for organisms living in highly seasonal environments. Seasonality has played a key role in generating biodiversity, and has driven the evolution of extreme physiological adaptations and behaviors such as migration and hibernation. Fluctuating selection pressures on survival and fecundity between summer and winter provide a complex selective landscape, which can be met by a combination of three outcomes of adaptive evolution: genetic polymorphism, phenotypic plasticity, and bet-hedging. Here, we have identified four important research questions with the goal of advancing our understanding of evolutionary impacts of seasonality. First, we ask how characteristics of environments and species will determine which adaptive response occurs. Relevant characteristics include costs and limits of plasticity, predictability, and reliability of cues, and grain of environmental variation relative to generation time. A second important question is how phenological shifts will amplify or ameliorate selection on physiological hardiness. Shifts in phenology can preserve the thermal niche despite shifts in climate, but may fail to completely conserve the niche or may even expose life stages to conditions that cause mortality. Considering distinct environmental sensitivities of life history stages will be key to refining models that forecast susceptibility to climate change. Third, we must identify critical physiological phenotypes that underlie seasonal adaptation and work toward understanding the genetic architectures of these responses. These architectures are key for predicting evolutionary responses. Pleiotropic genes that regulate multiple responses to changing seasons may facilitate coordination among functionally related traits, or conversely may constrain the expression of optimal phenotypes. Finally, we must advance our understanding of how changes in seasonal fluctuations are impacting ecological interaction networks. We should move beyond simple dyadic interactions, such as predator prey dynamics, and understand how these interactions scale up to affect ecological interaction networks. As global climate change alters many aspects of seasonal variability, including extreme events and changes in mean conditions, organisms must respond appropriately or go extinct. The outcome of adaptation to seasonality will determine responses to climate change.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 102 citations 102 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/5063n1rzData sources: Bielefeld Academic Search Engine (BASE)Integrative and Comparative BiologyArticle . 2017Data sources: DANS (Data Archiving and Networked Services)Electronic Publication Information CenterArticle . 2017Data sources: Electronic Publication Information CentereScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icb/icx122&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu