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Objective: To contribute to the integration of key ecological concepts such as dynamic equilibrium, critical threshold, resistance and resilience to the ‘State and Transition Model’ (STM), in order to apply them in a more feasible way for rangeland management. Methods: Review and discussion of conceptual models and applied literature, including examples of rangeland dynamics. Results and Conclusions: We propose to enhance the STM considering two [ver mas...]
dc.contributor.authorLopez, Dardo Ruben
dc.contributor.authorCavallero, Laura
dc.contributor.authorBrizuela, Miguel Angel
dc.contributor.authorAguiar, Martín Roberto
dc.date.accessioned2023-10-31T14:28:07Z
dc.date.available2023-10-31T14:28:07Z
dc.date.issued2011-02
dc.identifier.issn1402-2001
dc.identifier.issn1654-109X
dc.identifier.otherhttps://doi.org/10.1111/j.1654-109X.2010.01095.x
dc.identifier.urihttp://hdl.handle.net/20.500.12123/15757
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/abs/10.1111/j.1654-109X.2010.01095.x
dc.description.abstractObjective: To contribute to the integration of key ecological concepts such as dynamic equilibrium, critical threshold, resistance and resilience to the ‘State and Transition Model’ (STM), in order to apply them in a more feasible way for rangeland management. Methods: Review and discussion of conceptual models and applied literature, including examples of rangeland dynamics. Results and Conclusions: We propose to enhance the STM considering two principal axes: (a) the x axis determined by structural ecosystem changes (vegetation and soil) and (b) the y axis determined by ecosystem functions and/or processes (recruitment, rain use efficiency). These axes define what we will call Structural–Functional State and Transition Model (SFSTM). Both axes of SFSTM make it possible to determine and quantify states and transitions, critical thresholds and to evaluate the resistance and resilience of an ecosystem to a given disturbance. The critical threshold is identified by structural and functional thresholds (x and y axes), thus defining the point where the ecosystem loses its resilience. Furthermore, in the supplementary file we provide examples with field data from Patagonia to illustrate the SFSTM. The proposed SFSTM has large implications for rangeland research and management, facilitating the understanding and integration of key concepts to enhance the STM. The identification of variables to assess structure and processes makes the model more useful.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceApplied Vegetation Science 14 (1) : 6-16. (February 2011)es_AR
dc.subjectMedio Ambientees_AR
dc.subjectEnvironmenteng
dc.subjectEcosistemaes_AR
dc.subjectEcosystemseng
dc.subjectModeloses_AR
dc.subjectModelseng
dc.subjectTierras de Pastoses_AR
dc.subjectRangelandseng
dc.titleEcosystemic structural–functional approach of the state and transition modeles_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)es_AR
dc.description.origenEEA Barilochees_AR
dc.description.filFil: Lopez, Dardo Ruben. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentinaes_AR
dc.description.filFil: Cavallero, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentinaes_AR
dc.description.filFil: Cavallero, Laura. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentinaes_AR
dc.description.filFil: Brizuela, Miguel Angel. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
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; Argentinaes_AR
dc.description.filFil: Aguiar, Martin Roberto. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentinaes_AR
dc.subtypecientifico


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