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dc.creatorKnapp, Alan K.-
dc.creatorAvolio, Meghan L.-
dc.creatorBeier, Claus-
dc.creatorCarroll, Charles J. W.-
dc.creatorCollins, Scott L.-
dc.creatorDukes, Jeffrey S.-
dc.creatorFraser, Lauchlan H.-
dc.creatorGriffin Nolan, Robert J.-
dc.creatorHoover, David L.-
dc.creatorJentsch, Anke-
dc.creatorLoik, Michael E.-
dc.creatorPhillips, Richard P.-
dc.creatorPost, Alison K.-
dc.creatorSala, Osvaldo Esteban-
dc.creatorSlette, Ingrid J.-
dc.creatorYahdjian, María Laura-
dc.creatorSmith, Melinda D.-
dc.date2018-07-06T15:51:16Z-
dc.date2018-07-06T15:51:16Z-
dc.date2017-05-
dc.date2018-06-19T15:53:05Z-
dc.date.accessioned2019-04-29T15:49:39Z-
dc.date.available2019-04-29T15:49:39Z-
dc.date.issued2017-05-
dc.identifierKnapp, 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-
dc.identifier1354-1013-
dc.identifierhttp://hdl.handle.net/11336/51494-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/303092-
dc.descriptionIntensification 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.-
dc.descriptionFil: Knapp, Alan K.. State University of Colorado - Fort Collins; Estados Unidos-
dc.descriptionFil: Avolio, Meghan L.. National Socio-Environmental Synthesis Center; Estados Unidos-
dc.descriptionFil: Beier, Claus. Norwegian Institute for Water Research; Noruega-
dc.descriptionFil: Carroll, Charles J. W.. State University of Colorado - Fort Collins; Estados Unidos-
dc.descriptionFil: Collins, Scott L.. University of New Mexico; Estados Unidos-
dc.descriptionFil: Dukes, Jeffrey S.. Purdue University; Estados Unidos-
dc.descriptionFil: Fraser, Lauchlan H.. Thompson Rivers University; Canadá-
dc.descriptionFil: Griffin Nolan, Robert J.. State University of Colorado - Fort Collins; Estados Unidos-
dc.descriptionFil: Hoover, David L.. Southwest Biological Science Center; Estados Unidos-
dc.descriptionFil: Jentsch, Anke. University of Bayreuth; Alemania-
dc.descriptionFil: Loik, Michael E.. University of California; Estados Unidos-
dc.descriptionFil: Phillips, Richard P.. Indiana University; Estados Unidos-
dc.descriptionFil: Post, Alison K.. State University of Colorado - Fort Collins; Estados Unidos-
dc.descriptionFil: 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 Unidos-
dc.descriptionFil: Slette, Ingrid J.. State University of Colorado - Fort Collins; Estados Unidos-
dc.descriptionFil: 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. ; Argentina-
dc.descriptionFil: Smith, Melinda D.. State University of Colorado - Fort Collins; Estados Unidos-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherWiley Blackwell Publishing, Inc-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1111/gcb.13504-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.13504-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectCLIMATE EXTREMES-
dc.subjectDROUGHT-
dc.subjectFIELD EXPERIMENTS-
dc.subjectPRECIPITATION REGIMES-
dc.subjectWET YEARS-
dc.subjectOtras Ciencias Biológicas-
dc.subjectCiencias Biológicas-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titlePushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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