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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6359
Ver los metadatos del registro completo
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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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1846083120339615744 |
score |
13.22299 |