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1. Drylands cover about 41% of Earth’s land surface, and 65% of their area supports domestic livestock that depends on the above-ground net primary productivity (ANPP) of natural vegetation. Thus, understanding how biotic and abiotic factors control ANPP and related ecosystem functions can largely help to create more sustainable land-use practices in rangelands, particularly in the context of ongoing global environmental change. 2. We used 311 sites [ver mas...]
dc.contributor.authorGaitan, Juan Jose
dc.contributor.authorOliva, Gabriel Esteban
dc.contributor.authorBran, Donaldo Eduardo
dc.contributor.authorMaestre, Fernando Tomás
dc.contributor.authorAguiar, Martín Roberto
dc.contributor.authorJobbagy Gampel, Esteban Gabriel
dc.contributor.authorBuono, Gustavo Gabriel
dc.contributor.authorFerrante, Daniela
dc.contributor.authorNakamatsu, Viviana Beatriz
dc.contributor.authorCiari, Georgina
dc.contributor.authorSalomone, Jorge Manuel
dc.contributor.authorMassara Paletto, Virginia
dc.coverage.spatialPatagonia (general region)eng
dc.date.accessioned2017-09-01T14:24:55Z
dc.date.available2017-09-01T14:24:55Z
dc.date.issued2014-11
dc.identifier.issn1365-2745
dc.identifier.urihttp://hdl.handle.net/20.500.12123/1104
dc.identifier.urihttp://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12273/pdf
dc.description.abstract1. Drylands cover about 41% of Earth’s land surface, and 65% of their area supports domestic livestock that depends on the above-ground net primary productivity (ANPP) of natural vegetation. Thus, understanding how biotic and abiotic factors control ANPP and related ecosystem functions can largely help to create more sustainable land-use practices in rangelands, particularly in the context of ongoing global environmental change. 2. We used 311 sites across a broad natural gradient in Patagonian rangelands to evaluate the relative importance of climate (temperature and precipitation) and vegetation structure (grass and shrub cover, species richness) as drivers of ANPP, precipitation-use efficiency (PUE) and precipitation marginal response (PMR). 3. Climatic variables explained 60%, 52% and 12% of the variation in grass cover, shrub cover and species richness, respectively. Shrub cover increased in areas with warmer, drier and winter rainfall climates, while the response observed for both grass cover and species richness was the opposite. Climate and vegetation structure explained 70%, 60% and 29% of the variation in ANPP, PUE and PMR, respectively. These three variables increased with increasing vegetation cover, particularly grass cover. Species richness also increased with ANPP, PUE and PMR. ANPP increased, and PUE decreased with increasing mean annual precipitation, whereas PMR increased with the proportion of precipitation falling in spring–summer. Temperature had a strong negative effect on ANPP and PUE, and a positive direct effect on PMR. Standardized total effects from structural equation modelling showed that vegetation structure and climate had similar strengths as drivers of ecosystem functioning. Grass cover had the highest total effect on ANPP (0.58), PUE (0.55) and PMR (0.41). Among the climatic variables, mean annual precipitation had the strongest total effect on ANPP (0.51) and PUE ( 0.41), and the proportion of the precipitation falling in spring–summer was the most influential on PMR (0.36). 4. Synthesis. Vegetation structure is as important as climate in shaping ecosystem functioning Patagonian rangelands. Maintaining and enhancing vegetation cover and species richness, particularly in grasses, could reduce the adverse effects of climate change on ecosystem functioning in these ecosystemseng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceJournal of ecology 102 (6) : 1419-1428. (November 2014)
dc.subjectEcosistemaes_AR
dc.subjectEcosystemseng
dc.subjectPastizal Natural
dc.subjectProductividad Primaria Neta
dc.subjectNet Primary Productivityeng
dc.subjectFactores Climáticos
dc.subjectClimatic Factorseng
dc.subjectCubierta Vegetal
dc.subjectPlant Covereng
dc.subject.otherServicios Ecosistémicos
dc.subject.otherRegión Patagónica
dc.titleVegetation structure is as important as climate for explaining ecosystem function across Patagonian rangelandseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.filFil: Gaitan, Juan Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
dc.description.filFil: Oliva, Gabriel Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina
dc.description.filFil: Bran, Donaldo Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
dc.description.filFil: Maestre, Fernando T. Universidad Rey Juan Carlos. Escuela Superior de Ciencias Experimentales y Tecnología. Departamento de Biologíıa y Geología Area de Biodiversidad y Conservación; España
dc.description.filFil: Aguiar, Martin Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
dc.description.filFil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis; Argentina
dc.description.filFil: Buono, Gustavo Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina
dc.description.filFil: Ferrante, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina
dc.description.filFil: Nakamatsu, Viviana Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina
dc.description.filFil: Ciari, Georgina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel; Argentina
dc.description.filFil: Salomone, Jorge Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina
dc.description.filFil: Massara Paletto, Virginia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina
dc.subtypecientifico


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