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dc.contributor.authorVargas, Rodrigo
dc.contributor.authorSánchez Cañete P., Enrique
dc.contributor.authorSerrano Ortiz, Penélope
dc.contributor.authorCuriel Yuste, Jorge
dc.contributor.authorDomingo Poveda, Francisco
dc.contributor.authorLópez Ballesteros, Ana
dc.contributor.authorOyonarte Gutiérrez, Cecilio
dc.date.accessioned2020-01-17T06:47:24Z
dc.date.available2020-01-17T06:47:24Z
dc.date.issued2018-08-08
dc.identifier.issn2571-8789
dc.identifier.urihttp://hdl.handle.net/10835/7460
dc.description.abstractThe metabolic activity of water-limited ecosystems is strongly linked to the timing and magnitude of precipitation pulses that can trigger disproportionately high (i.e., hot-moments) ecosystem CO2 fluxes. We analyzed over 2-years of continuous measurements of soil CO2 efflux (Fs) under vegetation (Fsveg) and at bare soil (Fsbare) in a water-limited grassland. The continuous wavelet transform was used to: (a) describe the temporal variability of Fs; (b) test the performance of empirical models ranging in complexity; and (c) identify hot-moments of Fs. We used partial wavelet coherence (PWC) analysis to test the temporal correlation between Fs with temperature and soil moisture. The PWC analysis provided evidence that soil moisture overshadows the influence of soil temperature for Fs in this water limited ecosystem. Precipitation pulses triggered hot-moments that increased Fsveg (up to 9000%) and Fsbare (up to 17,000%) with respect to pre-pulse rates. Highly parameterized empirical models (using support vector machine (SVM) or an 8-day moving window) are good approaches for representing the daily temporal variability of Fs, but SVM is a promising approach to represent high temporal variability of Fs (i.e., hourly estimates). Our results have implications for the representation of hot-moments of ecosystem CO2 fluxes in these globally distributed ecosystems.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectarid grasslandses_ES
dc.subjectprecipitation variabilityes_ES
dc.subjectmachine learninges_ES
dc.subjectsoil respirationes_ES
dc.subjectwavelet analysises_ES
dc.subjectrain pulseses_ES
dc.titleHot-Moments of Soil CO2 Efflux in a Water-Limited Grasslandes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2571-8789/2/3/47es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional