Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis

We built a grid-based spatial explicit stochastic model that simulates grazing events and basic processes like seedling establishment, growth or mortality of the dominant species in the grass steppes of Patagonia. After evaluating the model with field data, we performed simulation experiments aimed...

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Detalles Bibliográficos
Autores: Paruelo, José, Pütz, S., Weber, G., Bertiller, Monica Beatriz, Golluscio, Rodolfo, Aguiar, Martin Roberto, Wiegand, T.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2008
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/94948
Acceso en línea:http://hdl.handle.net/11336/94948
Access Level:acceso abierto
Palabra clave:ARID SYSTEMS
ECOSYSTEM DYNAMICS
GRASS STEPPES
HERBIVORY
INDIVIDUAL-BASED MODEL
SPATIAL EXPLICIT MODELS
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
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oai_identifier_str oai:ri.conicet.gov.ar:11336/94948
network_acronym_str AR
network_name_str Argentina
repository_id_str
dc.title.none.fl_str_mv Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
title Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
spellingShingle Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
Paruelo, José
ARID SYSTEMS
ECOSYSTEM DYNAMICS
GRASS STEPPES
HERBIVORY
INDIVIDUAL-BASED MODEL
SPATIAL EXPLICIT MODELS
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
title_short Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
title_full Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
title_fullStr Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
title_full_unstemmed Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
title_sort Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis
dc.creator.none.fl_str_mv Paruelo, José
Pütz, S.
Weber, G.
Bertiller, Monica Beatriz
Golluscio, Rodolfo
Aguiar, Martin Roberto
Wiegand, T.
author Paruelo, José
author_facet Paruelo, José
Pütz, S.
Weber, G.
Bertiller, Monica Beatriz
Golluscio, Rodolfo
Aguiar, Martin Roberto
Wiegand, T.
author_role author
author2 Pütz, S.
Weber, G.
Bertiller, Monica Beatriz
Golluscio, Rodolfo
Aguiar, Martin Roberto
Wiegand, T.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv ARID SYSTEMS
ECOSYSTEM DYNAMICS
GRASS STEPPES
HERBIVORY
INDIVIDUAL-BASED MODEL
SPATIAL EXPLICIT MODELS
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
topic ARID SYSTEMS
ECOSYSTEM DYNAMICS
GRASS STEPPES
HERBIVORY
INDIVIDUAL-BASED MODEL
SPATIAL EXPLICIT MODELS
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
description We built a grid-based spatial explicit stochastic model that simulates grazing events and basic processes like seedling establishment, growth or mortality of the dominant species in the grass steppes of Patagonia. After evaluating the model with field data, we performed simulation experiments aimed to explore the interaction of precipitation and grazing regimes on vegetation dynamics. Grazing generated a reduction in tussock density which results in a decline in aboveground net primary production (ANPP). Both response variables presented a non-linear behavior including high temporal variability and delay effects, which may prolong for decades. There was a clear threshold in the response of the variables to stock density, though changes become evident only when a highly selective grazing scenario was used. Under high stock density conditions, precipitation use efficiency (PUE) was 82% lower than the values for non-grazed runs. The inter-annual variability of precipitation was more important than the grazing regime in explaining differences in tussock density. Simulation results highlight important issues regarding rangeland management: grazing regime might be as important as stocking density as a degradation agent, temporal lags might obscure degradation processes for decades, the definition of monitoring variables need to consider their response time constants.
publishDate 2008
dc.date.none.fl_str_mv 2008-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/94948
Paruelo, José; Pütz, S.; Weber, G.; Bertiller, Monica Beatriz; Golluscio, Rodolfo; et al.; Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis; Academic Press Ltd - Elsevier Science Ltd; Journal of Arid Environments; 72; 12; 12-2008; 2211-2231
0140-1963
CONICET Digital
CONICET
url http://hdl.handle.net/11336/94948
identifier_str_mv Paruelo, José; Pütz, S.; Weber, G.; Bertiller, Monica Beatriz; Golluscio, Rodolfo; et al.; Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis; Academic Press Ltd - Elsevier Science Ltd; Journal of Arid Environments; 72; 12; 12-2008; 2211-2231
0140-1963
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0140196308001882
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jaridenv.2008.07.010
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1799195966924914688
spelling Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysisParuelo, JoséPütz, S.Weber, G.Bertiller, Monica BeatrizGolluscio, RodolfoAguiar, Martin RobertoWiegand, T.ARID SYSTEMSECOSYSTEM DYNAMICSGRASS STEPPESHERBIVORYINDIVIDUAL-BASED MODELSPATIAL EXPLICIT MODELShttps://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4We built a grid-based spatial explicit stochastic model that simulates grazing events and basic processes like seedling establishment, growth or mortality of the dominant species in the grass steppes of Patagonia. After evaluating the model with field data, we performed simulation experiments aimed to explore the interaction of precipitation and grazing regimes on vegetation dynamics. Grazing generated a reduction in tussock density which results in a decline in aboveground net primary production (ANPP). Both response variables presented a non-linear behavior including high temporal variability and delay effects, which may prolong for decades. There was a clear threshold in the response of the variables to stock density, though changes become evident only when a highly selective grazing scenario was used. Under high stock density conditions, precipitation use efficiency (PUE) was 82% lower than the values for non-grazed runs. The inter-annual variability of precipitation was more important than the grazing regime in explaining differences in tussock density. Simulation results highlight important issues regarding rangeland management: grazing regime might be as important as stocking density as a degradation agent, temporal lags might obscure degradation processes for decades, the definition of monitoring variables need to consider their response time constants.Fil: Paruelo, José. 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; ArgentinaFil: Pütz, S.. UFZ Centre for Environmental Research Leipzig-Halle; AlemaniaFil: Weber, G.. UFZ Centre for Environmental Research Leipzig-Halle; AlemaniaFil: Bertiller, Monica Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; ArgentinaFil: Golluscio, Rodolfo. 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; ArgentinaFil: 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. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Wiegand, T.. UFZ Centre for Environmental Research Leipzig-Halle; AlemaniaAcademic Press Ltd - Elsevier Science Ltd2008-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/94948Paruelo, José; Pütz, S.; Weber, G.; Bertiller, Monica Beatriz; Golluscio, Rodolfo; et al.; Long-term dynamics of a semiarid grass steppe under stochastic climate and different grazing regimes: A simulation analysis; Academic Press Ltd - Elsevier Science Ltd; Journal of Arid Environments; 72; 12; 12-2008; 2211-22310140-1963CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0140196308001882info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jaridenv.2008.07.010info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:10:04Zoai:ri.conicet.gov.ar:11336/94948instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 14:10:04.486CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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