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Resumen
Aims: To understand and model the dynamics of litter decomposition in a climatically seasonal region subject to different modalities of land pasture management. Methods: Decomposition was quantified through the litterbag technique. Sampling was performed at monthly intervals on an annual basis with replications for 2008, 2009 and 2010. Treatments were native vegetation (NV) and grazed (G), grazed and N-fertilized (GF), hayed (H), hayed and N-fertilized [ver mas...]
dc.contributor.authorBanegas, Natalia Romina
dc.contributor.authorAlbanesi de Garay, Ada Susana
dc.contributor.authorPedraza, Raúl Osvaldo
dc.contributor.authorDos Santos, Daniel Andrés
dc.date.accessioned2018-11-07T17:34:11Z
dc.date.available2018-11-07T17:34:11Z
dc.date.issued2015-08
dc.identifier.issn0032-079X
dc.identifier.issn1573-5036 (Online)
dc.identifier.otherhttps://doi.org/10.1007/s11104-015-2472-y
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3817
dc.identifier.urihttps://link.springer.com/article/10.1007/s11104-015-2472-y
dc.description.abstractAims: To understand and model the dynamics of litter decomposition in a climatically seasonal region subject to different modalities of land pasture management. Methods: Decomposition was quantified through the litterbag technique. Sampling was performed at monthly intervals on an annual basis with replications for 2008, 2009 and 2010. Treatments were native vegetation (NV) and grazed (G), grazed and N-fertilized (GF), hayed (H), hayed and N-fertilized (HF) plots. For each combination of treatment and year, a sigmoid model was fitted. Parameters included remnant litter, steepness and inflection of decomposition curve. Results: The sigmoid model adjusted excellently well the data. In considering the overall effect on litter decomposition, treatments differ among them as follows symbolically: ((GF > G) > (HF > H)) > > NV. Results are consistent across the yearly replications. Conclusion: Pasture management (grazed versus hayed) is the primary factor controlling the rate of decomposition, whereas fertilization has a secondary role. The sigmoid model captures realistically the different phases of decomposition detected over a year, namely stationary at conditions of low temperature (later autumn and winter), accelerated at increasing temperature and humidity (transition from spring to summer) and decelerated when residual organic matter becomes less profitable and weather conditions more stringent (summer and earlier autumn).eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherSpringereng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourcePlant and soil 393 (1–2) : 47–56. (August 2015)eng
dc.subjectGrazing Systemseng
dc.subjectSistemas de Pastoreoes_AR
dc.subjectCattleeng
dc.subjectGanado Bovinoes_AR
dc.subjectNitrogeneng
dc.subjectNitrógenoes_AR
dc.subjectChloris Gayanaes_AR
dc.subject.otherSigmoid Modeleng
dc.subject.otherChacoes_AR
dc.titleNon-linear dynamics of litter decomposition under different grazing management regimeseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenInstituto de Investigación Animal Chaco Semiaridoes_AR
dc.description.filFil: Banegas, Natalia Romina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina. Universidad Nacional de Santiago del Estero. Facultad de Agronomía y Agroindustrias; Argentina. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; Argentinaes_AR
dc.description.filFil: Albanesi de Garay, Ada Susana. Universidad Nacional de Santiago del Estero. Facultad de Agronomía y Agroindustrias; Argentinaes_AR
dc.description.filFil: Pedraza, Raúl Osvaldo. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; Argentinaes_AR
dc.description.filFil: Dos Santos, Daniel Andrés. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Tucuman. Instituto de Biodiversidad Neotropical; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo; Argentinaes_AR
dc.subtypecientifico


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