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Abstract
The lack of an organizing conceptual framework to address ecosystem changes reduces our capacity to distinguish biophysical from direct human impacts on grassland dynamics. This is particularly important for subhumid temperate grasslands, one of the world’s most threatened biomes. We identified and mapped 4 functional syndromes of grassland change at the wettest end of its worldwide distribution, the Campos in Uruguay. Syndromes were defined by [ver mas...]
dc.contributor.authorTexeira González, Marcos Alexis
dc.contributor.authorVeron, Santiago Ramón
dc.contributor.authorIrisarri, Jorge Gonzalo Nicolás
dc.contributor.authorOyarzabal, Mariano
dc.contributor.authorStaiano, Luciana
dc.contributor.authorBaeza, Santiago
dc.contributor.authorParuelo, José María
dc.date.accessioned2018-10-05T18:39:03Z
dc.date.available2018-10-05T18:39:03Z
dc.date.issued2018-09-24
dc.identifier.issn1470-160X
dc.identifier.otherhttps://doi.org/10.1016/j.ecolind.2018.09.046
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3562
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1470160X1830743X?via%3Dihub
dc.description.abstractThe lack of an organizing conceptual framework to address ecosystem changes reduces our capacity to distinguish biophysical from direct human impacts on grassland dynamics. This is particularly important for subhumid temperate grasslands, one of the world’s most threatened biomes. We identified and mapped 4 functional syndromes of grassland change at the wettest end of its worldwide distribution, the Campos in Uruguay. Syndromes were defined by differences in precipitation use efficiency (PUE, ANPP/precipitation), and in precipitation marginal response (PMR, slope of the linear regression between ANPP and precipitation) between two periods (1981–1995 and 2001–2011). Temporal trends in aboveground net primary production (ANPP, obtained by splicing two sources of NDVI, LTDR and MOD13Q1) were also characterized. To rule out the effect of precipitation we analyzed temporal trends of the residuals from the relationship between ANPP and annual precipitation (RESTRENDS). Functional syndromes associated with increases in seasonality or in the abundance of annual vegetation (ΔPMR > 0, ΔPUE < 0, ∼14,000 km2) and vegetation cover loss (ΔPUE < 0 and ΔPMR < 0, >5000 km2) were the most abundant. ANPP trends were significantly negative in 3.7% of the area (2475 km2) and only positive in 0.3%. However, RESTRENDS were significant in 11% of the area (>7700 km2), and mostly negative (in ∼7200 km2). Most of these negative trends and residual trends were associated to seasonality increase and vegetation loss syndromes. These patterns were consistent with observed changes in the region. We highlight that this conceptual framework is suitable for describing patterns of change and potential causes. Moreover, it provides policymakers with a novel tool to guide management and conservation policies, pointing to sites where intervention (i.e. conservation, restoration) is needed.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceEcological indicators 96 (1) : 600-610. (January 2019)eng
dc.subjectPastizaleses_AR
dc.subjectPastureseng
dc.subjectEcosistemaes_AR
dc.subjectEcosystemseng
dc.subjectSymptomseng
dc.subjectSíntomases_AR
dc.subjectModerate Resolution Imaging Spectroradiometereng
dc.subjectEspectrorradiómetro de Imágenes de Resolución Moderadaes_AR
dc.subject.otherAboveground Net Primary Productioneng
dc.subject.otherANPPeng
dc.subject.otherEcosystem Functional Syndromeseng
dc.subject.otherMODISeng
dc.subject.otherLTDReng
dc.subject.otherPrecipitation Use Efficiencyeng
dc.subject.otherPUEeng
dc.subject.otherPrecipitation Marginal Responseeng
dc.subject.otherPMReng
dc.subject.otherRío de la Plata, Argentinaes_AR
dc.titleFunctional syndromes as indicators of ecosystem change in temperate grasslandseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenInstituto de Clima y Aguaes_AR
dc.description.filFil: Texeira González, Marcos Alexis. 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; Argentinaes_AR
dc.description.filFil: Veron, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentinaes_AR
dc.description.filFil: Irisarri, Jorge Gonzalo Nicolás. 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. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentinaes_AR
dc.description.filFil: Oyarzabal, Mariano. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentinaes_AR
dc.description.filFil: Staiano, Luciana. 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. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentinaes_AR
dc.description.filFil: Baeza, Santiago. Universidad de la Republica. Facultad de Agronomía. Departamento de Sistemas Ambientales; Uruguayes_AR
dc.description.filFil: Paruelo, José María. 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. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Instituto Nacional de Investigación Agropecuaria. Estación Experimental La Estanzuela; Uruguayes_AR
dc.subtypecientifico


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