Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years

Intensification of the global hydrological cycle, ranging from larger individual precipitation events to more extreme multiyear droughts, has the potential to cause widespread alterations in ecosystem structure and function. With evidence that the incidence of extreme precipitation years (defined st...

Descripción completa

Detalles Bibliográficos
Autores: Knapp, Alan K., Avolio, Meghan L., Beier, Claus, Carroll, Charles J. W., Collins, Scott L., Dukes, Jeffrey S., Fraser, Lauchlan H., Griffin Nolan, Robert J., Hoover, David L., Jentsch, Anke, Loik, Michael E., Phillips, Richard P., Post, Alison K., Sala, Osvaldo Esteban, Slette, Ingrid J., Yahdjian, María Laura, Smith, Melinda D.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/51494
Acceso en línea:http://hdl.handle.net/11336/51494
Access Level:acceso abierto
Palabra clave:Climate Extremes
Drought
Field Experiments
Precipitation Regimes
Wet Years
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
id AR_1530a04544bcbc0bb0418ea4b98424f1
oai_identifier_str oai:ri.conicet.gov.ar:11336/51494
network_acronym_str AR
network_name_str Argentina
repository_id_str
dc.title.none.fl_str_mv Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
title Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
spellingShingle Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
Knapp, Alan K.
Climate Extremes
Drought
Field Experiments
Precipitation Regimes
Wet Years
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
title_short Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
title_full Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
title_fullStr Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
title_full_unstemmed Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
title_sort Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years
dc.creator.none.fl_str_mv Knapp, Alan K.
Avolio, Meghan L.
Beier, Claus
Carroll, Charles J. W.
Collins, Scott L.
Dukes, Jeffrey S.
Fraser, Lauchlan H.
Griffin Nolan, Robert J.
Hoover, David L.
Jentsch, Anke
Loik, Michael E.
Phillips, Richard P.
Post, Alison K.
Sala, Osvaldo Esteban
Slette, Ingrid J.
Yahdjian, María Laura
Smith, Melinda D.
author Knapp, Alan K.
author_facet Knapp, Alan K.
Avolio, Meghan L.
Beier, Claus
Carroll, Charles J. W.
Collins, Scott L.
Dukes, Jeffrey S.
Fraser, Lauchlan H.
Griffin Nolan, Robert J.
Hoover, David L.
Jentsch, Anke
Loik, Michael E.
Phillips, Richard P.
Post, Alison K.
Sala, Osvaldo Esteban
Slette, Ingrid J.
Yahdjian, María Laura
Smith, Melinda D.
author_role author
author2 Avolio, Meghan L.
Beier, Claus
Carroll, Charles J. W.
Collins, Scott L.
Dukes, Jeffrey S.
Fraser, Lauchlan H.
Griffin Nolan, Robert J.
Hoover, David L.
Jentsch, Anke
Loik, Michael E.
Phillips, Richard P.
Post, Alison K.
Sala, Osvaldo Esteban
Slette, Ingrid J.
Yahdjian, María Laura
Smith, Melinda D.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Climate Extremes
Drought
Field Experiments
Precipitation Regimes
Wet Years
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
topic Climate Extremes
Drought
Field Experiments
Precipitation Regimes
Wet Years
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
description Intensification of the global hydrological cycle, ranging from larger individual precipitation events to more extreme multiyear droughts, has the potential to cause widespread alterations in ecosystem structure and function. With evidence that the incidence of extreme precipitation years (defined statistically from historical precipitation records) is increasing, there is a clear need to identify ecosystems that are most vulnerable to these changes and understand why some ecosystems are more sensitive to extremes than others. To date, opportunistic studies of naturally occurring extreme precipitation years, combined with results from a relatively small number of experiments, have provided limited mechanistic understanding of differences in ecosystem sensitivity, suggesting that new approaches are needed. Coordinated distributed experiments (CDEs) arrayed across multiple ecosystem types and focused on water can enhance our understanding of differential ecosystem sensitivity to precipitation extremes, but there are many design challenges to overcome (e.g., cost, comparability, standardization). Here, we evaluate contemporary experimental approaches for manipulating precipitation under field conditions to inform the design of ‘Drought-Net’, a relatively low-cost CDE that simulates extreme precipitation years. A common method for imposing both dry and wet years is to alter each ambient precipitation event. We endorse this approach for imposing extreme precipitation years because it simultaneously alters other precipitation characteristics (i.e., event size) consistent with natural precipitation patterns. However, we do not advocate applying identical treatment levels at all sites – a common approach to standardization in CDEs. This is because precipitation variability varies >fivefold globally resulting in a wide range of ecosystem-specific thresholds for defining extreme precipitation years. For CDEs focused on precipitation extremes, treatments should be based on each site's past climatic characteristics. This approach, though not often used by ecologists, allows ecological responses to be directly compared across disparate ecosystems and climates, facilitating process-level understanding of ecosystem sensitivity to precipitation extremes.
publishDate 2017
dc.date.none.fl_str_mv 2017-05
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/11336/51494
Knapp, Alan K.; Avolio, Meghan L.; Beier, Claus; Carroll, Charles J. W.; Collins, Scott L.; et al.; Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years; Wiley Blackwell Publishing, Inc; Global Change Biology; 23; 5; 5-2017; 1774-1782
1354-1013
CONICET Digital
CONICET
url http://hdl.handle.net/11336/51494
identifier_str_mv Knapp, Alan K.; Avolio, Meghan L.; Beier, Claus; Carroll, Charles J. W.; Collins, Scott L.; et al.; Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years; Wiley Blackwell Publishing, Inc; Global Change Biology; 23; 5; 5-2017; 1774-1782
1354-1013
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/gcb.13504
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.13504
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 Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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
_version_ 1799194833963712512
spelling Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry yearsKnapp, Alan K.Avolio, Meghan L.Beier, ClausCarroll, Charles J. W.Collins, Scott L.Dukes, Jeffrey S.Fraser, Lauchlan H.Griffin Nolan, Robert J.Hoover, David L.Jentsch, AnkeLoik, Michael E.Phillips, Richard P.Post, Alison K.Sala, Osvaldo EstebanSlette, Ingrid J.Yahdjian, María LauraSmith, Melinda D.Climate ExtremesDroughtField ExperimentsPrecipitation RegimesWet Yearshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Intensification of the global hydrological cycle, ranging from larger individual precipitation events to more extreme multiyear droughts, has the potential to cause widespread alterations in ecosystem structure and function. With evidence that the incidence of extreme precipitation years (defined statistically from historical precipitation records) is increasing, there is a clear need to identify ecosystems that are most vulnerable to these changes and understand why some ecosystems are more sensitive to extremes than others. To date, opportunistic studies of naturally occurring extreme precipitation years, combined with results from a relatively small number of experiments, have provided limited mechanistic understanding of differences in ecosystem sensitivity, suggesting that new approaches are needed. Coordinated distributed experiments (CDEs) arrayed across multiple ecosystem types and focused on water can enhance our understanding of differential ecosystem sensitivity to precipitation extremes, but there are many design challenges to overcome (e.g., cost, comparability, standardization). Here, we evaluate contemporary experimental approaches for manipulating precipitation under field conditions to inform the design of ‘Drought-Net’, a relatively low-cost CDE that simulates extreme precipitation years. A common method for imposing both dry and wet years is to alter each ambient precipitation event. We endorse this approach for imposing extreme precipitation years because it simultaneously alters other precipitation characteristics (i.e., event size) consistent with natural precipitation patterns. However, we do not advocate applying identical treatment levels at all sites – a common approach to standardization in CDEs. This is because precipitation variability varies >fivefold globally resulting in a wide range of ecosystem-specific thresholds for defining extreme precipitation years. For CDEs focused on precipitation extremes, treatments should be based on each site's past climatic characteristics. This approach, though not often used by ecologists, allows ecological responses to be directly compared across disparate ecosystems and climates, facilitating process-level understanding of ecosystem sensitivity to precipitation extremes.Fil: Knapp, Alan K.. State University of Colorado - Fort Collins; Estados UnidosFil: Avolio, Meghan L.. National Socio-Environmental Synthesis Center; Estados UnidosFil: Beier, Claus. Norwegian Institute for Water Research; NoruegaFil: Carroll, Charles J. W.. State University of Colorado - Fort Collins; Estados UnidosFil: Collins, Scott L.. University of New Mexico; Estados UnidosFil: Dukes, Jeffrey S.. Purdue University; Estados UnidosFil: Fraser, Lauchlan H.. Thompson Rivers University; CanadáFil: Griffin Nolan, Robert J.. State University of Colorado - Fort Collins; Estados UnidosFil: Hoover, David L.. Southwest Biological Science Center; Estados UnidosFil: Jentsch, Anke. University of Bayreuth; AlemaniaFil: Loik, Michael E.. University of California; Estados UnidosFil: Phillips, Richard P.. Indiana University; Estados UnidosFil: Post, Alison K.. State University of Colorado - Fort Collins; Estados UnidosFil: Sala, Osvaldo Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. ; Argentina. Arizona State University; Estados UnidosFil: Slette, Ingrid J.. State University of Colorado - Fort Collins; Estados UnidosFil: Yahdjian, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. ; ArgentinaFil: Smith, Melinda D.. State University of Colorado - Fort Collins; Estados UnidosWiley Blackwell Publishing, Inc2017-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/51494Knapp, Alan K.; Avolio, Meghan L.; Beier, Claus; Carroll, Charles J. W.; Collins, Scott L.; et al.; Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years; Wiley Blackwell Publishing, Inc; Global Change Biology; 23; 5; 5-2017; 1774-17821354-1013CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/gcb.13504info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.13504info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:37:27Zoai:ri.conicet.gov.ar:11336/51494instacron: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:34982024-05-08 13:37:27.891CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
score 15.198674

Similares en LA Referencia