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resumen

Resumen
Due to ongoing global warming, seasonal patterns of aboveground net primary production (ANPP) may be altered by temperature trends. Of particular interest is the seasonal association between ANPP and temperature at the beginning of the growing season (the period encompassing minimum to maximum ANPP), where two contrasting mechanisms are in tension. On the one hand, the restrictions exerted by low temperatures in winter may be relaxed, increasing the slope [ver mas...]
dc.contributor.authorIrisarri, Jorge Gonzalo Nicolás
dc.contributor.authorCipriotti, Pablo Ariel
dc.contributor.authorTexeira, Marcos
dc.contributor.authorCurcio, Matías Hernán
dc.date.accessioned2022-08-16T10:02:40Z
dc.date.available2022-08-16T10:02:40Z
dc.date.issued2022-06-17
dc.identifier.citationIrisarri, J.G.N.; Cipriotti, P.A.; Texeira, M.; Curcio, M.H. Trends in ANPP Response to Temperature in Wetland Meadows across a Subcontinental Gradient in Patagonia. Meteorology 2022, 1, 220-230. https://doi.org/10.3390/meteorology1020015es_AR
dc.identifier.issn2674-0494
dc.identifier.otherhttps://doi.org/10.3390/meteorology1020015
dc.identifier.urihttp://hdl.handle.net/20.500.12123/12590
dc.identifier.urihttps://www.mdpi.com/2674-0494/1/2/15
dc.description.abstractDue to ongoing global warming, seasonal patterns of aboveground net primary production (ANPP) may be altered by temperature trends. Of particular interest is the seasonal association between ANPP and temperature at the beginning of the growing season (the period encompassing minimum to maximum ANPP), where two contrasting mechanisms are in tension. On the one hand, the restrictions exerted by low temperatures in winter may be relaxed, increasing the slope of seasonal association between ANPP and temperature over the years. On the other hand, increases in temperature may increase water demand, reducing the slope over time. Across 543 wetland meadow areas in Patagonia, we estimated ANPP and obtained temperature records on a monthly basis from 2001 to 2019. The seasonal association between ANPP and temperature, tested through linear regression, was statistically significant in 96% of the cases (9921/10317 (543 wetland areas × 19 growing seasons)). The fitted linear models explained, on average, 84% of ANPP seasonal (June–December) variations. Through regression trees, we found out that the two tested mechanisms, the relaxation of temperature restriction and the increase in water demand, showed clear spatial patterns. The relaxation due to temperature increase took place at higher latitudes, but the water-limiting mechanism increased over mid-latitude areas.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)es_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceMeteorology 1 (2) : 220-230 (June 2022)es_AR
dc.subjectGlobal Warmingeng
dc.subjectCalentamiento Globales_AR
dc.subjectPlant Growtheng
dc.subjectCrecimiento de Plantaes_AR
dc.subjectRegression Analysiseng
dc.subjectAnálisis de Regresiónes_AR
dc.subject.otherMODISeng
dc.subject.otherGoogle Earth Engineeng
dc.titleTrends in ANPP response to temperature in wetland meadows across a subcontinental gradient in Patagoniaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEEA Esqueles_AR
dc.description.filFil: Irisarri, Jorge Gonzalo Nicolás. Rothamsted Research. Net Zero & Resilient Farming Directorate; Reino Unidoes_AR
dc.description.filFil: Cipriotti, Pablo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentinaes_AR
dc.description.filFil: Cipriotti, Pablo Ariel. Universidad de Buenos Aires. Facultad de Agronomía. Departamento métodos cuantitativos y sistemas de información; Argentinaes_AR
dc.description.filFil: Texeira, Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentinaes_AR
dc.description.filFil: Texeira, Marcos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento métodos cuantitativos y sistemas de información; Argentinaes_AR
dc.description.filFil: Curcio, Matías Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Curcio, Matías Hernán. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agroforestal Esquel; Argentinaes_AR
dc.subtypecientifico


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