Means and extremes: building variability into community-level climate change experiments

Autores
Thompson, Ross M.; Beardall, John; Beringer, Jason; Grace, MiKe; Sardiña, Paula
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Experimental studies assessing climatic effects on ecological communities have typically applied static warming treatments. Although these studies have been informative, they have usually failed to incorporate either current or predicted future, patterns of variability. Future climates are likely to include extreme events which have greater impacts on ecological systems than changes in means alone. Here, we review the studies which have used experiments to assess impacts of temperature on marine, freshwater and terrestrial communities, and classify them into a set of ‘generations’ based on how they incorporate variability. The majority of studies have failed to incorporate extreme events. In terrestrial ecosystems in particular, experimental treatments have reduced temperature variability, when most climate models predict increased variability. Marine studies have tended to not concentrate on changes in variability, likely in part because the thermal mass of oceans will moderate variation. In freshwaters, climate change experiments have a much shorter history than in the other ecosystems, and have tended to take a relatively simple approach. We propose a new ‘generation’ of climate change experiments using down-scaled climate models which incorporate predicted changes in climatic variability, and describe a process for generating data which can be applied as experimental climate change treatments.
Fil: Thompson, Ross M.. University of Canberra. Institute for Applied Ecology; Australia. Monash University; Australia
Fil: Beardall, John. Monash University. Australian Center for Diversity; Australia
Fil: Beringer, Jason. Monash University. Australian Center for Diversity; Australia
Fil: Grace, MiKe. Monash University. Australian Center for Diversity; Australia
Fil: Sardiña, Paula. Monash University. Australian Center for Diversity; Australia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnológico Bahia Blanca. Instituto de Ciencias Biologicas y Biomedicas del Sur; Argentina
Materia
Climate Change
Down-Scaled Climate Models
Experimental Treatments
Experiments
Freshwater
Marine
Terrestrial
Weather Scenarios
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6359

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spelling Means and extremes: building variability into community-level climate change experimentsThompson, Ross M.Beardall, JohnBeringer, JasonGrace, MiKeSardiña, PaulaClimate ChangeDown-Scaled Climate ModelsExperimental TreatmentsExperimentsFreshwaterMarineTerrestrialWeather Scenarioshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Experimental studies assessing climatic effects on ecological communities have typically applied static warming treatments. Although these studies have been informative, they have usually failed to incorporate either current or predicted future, patterns of variability. Future climates are likely to include extreme events which have greater impacts on ecological systems than changes in means alone. Here, we review the studies which have used experiments to assess impacts of temperature on marine, freshwater and terrestrial communities, and classify them into a set of ‘generations’ based on how they incorporate variability. The majority of studies have failed to incorporate extreme events. In terrestrial ecosystems in particular, experimental treatments have reduced temperature variability, when most climate models predict increased variability. Marine studies have tended to not concentrate on changes in variability, likely in part because the thermal mass of oceans will moderate variation. In freshwaters, climate change experiments have a much shorter history than in the other ecosystems, and have tended to take a relatively simple approach. We propose a new ‘generation’ of climate change experiments using down-scaled climate models which incorporate predicted changes in climatic variability, and describe a process for generating data which can be applied as experimental climate change treatments.Fil: Thompson, Ross M.. University of Canberra. Institute for Applied Ecology; Australia. Monash University; AustraliaFil: Beardall, John. Monash University. Australian Center for Diversity; AustraliaFil: Beringer, Jason. Monash University. Australian Center for Diversity; AustraliaFil: Grace, MiKe. Monash University. Australian Center for Diversity; AustraliaFil: Sardiña, Paula. Monash University. Australian Center for Diversity; Australia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnológico Bahia Blanca. Instituto de Ciencias Biologicas y Biomedicas del Sur; ArgentinaWiley2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6359Thompson, Ross M.; Beardall, John; Beringer, Jason; Grace, MiKe; Sardiña, Paula; Means and extremes: building variability into community-level climate change experiments; Wiley; Ecology Letters; 16; 6; 2-2013; 799–8061461-023Xenginfo:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/pmid/23438320info:eu-repo/semantics/altIdentifier/doi/10.1111/ele.12095info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/ele.12095/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:58:03Zoai:ri.conicet.gov.ar:11336/6359instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:58:03.917CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Means and extremes: building variability into community-level climate change experiments
title Means and extremes: building variability into community-level climate change experiments
spellingShingle Means and extremes: building variability into community-level climate change experiments
Thompson, Ross M.
Climate Change
Down-Scaled Climate Models
Experimental Treatments
Experiments
Freshwater
Marine
Terrestrial
Weather Scenarios
title_short Means and extremes: building variability into community-level climate change experiments
title_full Means and extremes: building variability into community-level climate change experiments
title_fullStr Means and extremes: building variability into community-level climate change experiments
title_full_unstemmed Means and extremes: building variability into community-level climate change experiments
title_sort Means and extremes: building variability into community-level climate change experiments
dc.creator.none.fl_str_mv Thompson, Ross M.
Beardall, John
Beringer, Jason
Grace, MiKe
Sardiña, Paula
author Thompson, Ross M.
author_facet Thompson, Ross M.
Beardall, John
Beringer, Jason
Grace, MiKe
Sardiña, Paula
author_role author
author2 Beardall, John
Beringer, Jason
Grace, MiKe
Sardiña, Paula
author2_role author
author
author
author
dc.subject.none.fl_str_mv Climate Change
Down-Scaled Climate Models
Experimental Treatments
Experiments
Freshwater
Marine
Terrestrial
Weather Scenarios
topic Climate Change
Down-Scaled Climate Models
Experimental Treatments
Experiments
Freshwater
Marine
Terrestrial
Weather Scenarios
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Experimental studies assessing climatic effects on ecological communities have typically applied static warming treatments. Although these studies have been informative, they have usually failed to incorporate either current or predicted future, patterns of variability. Future climates are likely to include extreme events which have greater impacts on ecological systems than changes in means alone. Here, we review the studies which have used experiments to assess impacts of temperature on marine, freshwater and terrestrial communities, and classify them into a set of ‘generations’ based on how they incorporate variability. The majority of studies have failed to incorporate extreme events. In terrestrial ecosystems in particular, experimental treatments have reduced temperature variability, when most climate models predict increased variability. Marine studies have tended to not concentrate on changes in variability, likely in part because the thermal mass of oceans will moderate variation. In freshwaters, climate change experiments have a much shorter history than in the other ecosystems, and have tended to take a relatively simple approach. We propose a new ‘generation’ of climate change experiments using down-scaled climate models which incorporate predicted changes in climatic variability, and describe a process for generating data which can be applied as experimental climate change treatments.
Fil: Thompson, Ross M.. University of Canberra. Institute for Applied Ecology; Australia. Monash University; Australia
Fil: Beardall, John. Monash University. Australian Center for Diversity; Australia
Fil: Beringer, Jason. Monash University. Australian Center for Diversity; Australia
Fil: Grace, MiKe. Monash University. Australian Center for Diversity; Australia
Fil: Sardiña, Paula. Monash University. Australian Center for Diversity; Australia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnológico Bahia Blanca. Instituto de Ciencias Biologicas y Biomedicas del Sur; Argentina
description Experimental studies assessing climatic effects on ecological communities have typically applied static warming treatments. Although these studies have been informative, they have usually failed to incorporate either current or predicted future, patterns of variability. Future climates are likely to include extreme events which have greater impacts on ecological systems than changes in means alone. Here, we review the studies which have used experiments to assess impacts of temperature on marine, freshwater and terrestrial communities, and classify them into a set of ‘generations’ based on how they incorporate variability. The majority of studies have failed to incorporate extreme events. In terrestrial ecosystems in particular, experimental treatments have reduced temperature variability, when most climate models predict increased variability. Marine studies have tended to not concentrate on changes in variability, likely in part because the thermal mass of oceans will moderate variation. In freshwaters, climate change experiments have a much shorter history than in the other ecosystems, and have tended to take a relatively simple approach. We propose a new ‘generation’ of climate change experiments using down-scaled climate models which incorporate predicted changes in climatic variability, and describe a process for generating data which can be applied as experimental climate change treatments.
publishDate 2013
dc.date.none.fl_str_mv 2013-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/6359
Thompson, Ross M.; Beardall, John; Beringer, Jason; Grace, MiKe; Sardiña, Paula; Means and extremes: building variability into community-level climate change experiments; Wiley; Ecology Letters; 16; 6; 2-2013; 799–806
1461-023X
url http://hdl.handle.net/11336/6359
identifier_str_mv Thompson, Ross M.; Beardall, John; Beringer, Jason; Grace, MiKe; Sardiña, Paula; Means and extremes: building variability into community-level climate change experiments; Wiley; Ecology Letters; 16; 6; 2-2013; 799–806
1461-023X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/pmid/23438320
info:eu-repo/semantics/altIdentifier/doi/10.1111/ele.12095
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/ele.12095/abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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