Ecosystemic structural - functional approach of the state and transition model

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...

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Detalles Bibliográficos
Otros Autores: López, Dardo Rubén, Cavallero, Laura, Brizuela, Miguel Angel, Aguiar, Martín Roberto
Formato: Artículo
Lenguaje:Inglés
Materias:
DYNAMIC EQUILIBRIUM
RANGELAND ECOLOGY
RESILIENCE
RESISTANCE
THRESHOLDS
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2011Lopez.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 1 0 |a Ecosystemic structural - functional approach of the state and transition model 
520 |a 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 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. 
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773 |t Applied Vegetation Science  |g Vol.14, no.1 (2011), p.6-16 
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900 |a ^aLópez^bD.R.^tÃ_rea de Recursos Naturales, INTA Bariloche, Argentina 
900 |a ^aCavallero^bL.^tLaboratorio Ecotono, INIBIOMA [CONICET-UNComa], Argentina 
900 |a ^aBrizuela^bM.A.^tFacultad de Ciencias Agrarias [UNMdP-CIC Bs. As.], Argentina 
900 |a ^aAguiar^bM.R.^tFacultad de Agronomía, IFEVA [UBA- CONICET], Argentina 
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900 |a 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 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. 
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