A model for the population dynamics of plants under extensive livestock grazing

Autores
Bruzzone, Octavio Augusto; Rossini, Luca; Perri, Daiana Vanesa; Easdale, Marcos Horacio
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Extensive livestock production on rangelands involves continuous biomass extraction, as various plant species serve as food for different animal populations. Unlike agricultural systems, rangeland biomass extraction reduces plant size without their complete removal, leading to more complicated management strategies. Mathematical models could predict where plant biomass is available, to relocate animals accordingly, but the current state of the art offers plant population models with a single variable, confusing growth rate, fitness, and carrying capacity. This study addresses this limitation through a model that divides plant populations into two state variables: i) total biomass ( ) and ii) the number of individuals/vegetation cover ( ). Biomass follows a standard logistic population dynamic constrained by the carrying capacity of the ecosystem, while represents population spread and resource acquisition. The model integrates Schaeffer and Noy-Meir logistic population models with biomass extraction and includes a seeding term ( ) to account for human interventions. Results showed that system stability and equilibrium depend on the efficiency parameter ( ), which links and . Higher values reduced the system´s maximum yield under biomass extraction, highlighting the trade-off between vegetation cover and biomass productivity. This model provides a promising alternative for describing rangeland dynamics under extensive livestock production.
Fil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rossini, Luca. Université Libre de Bruxelles; Bélgica
Fil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
GRAZING
BIOMASS
RESOURCE CAPTURE EFFICIENCY
ARID REGIONS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/273379
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/273379
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A model for the population dynamics of plants under extensive livestock grazingBruzzone, Octavio AugustoRossini, LucaPerri, Daiana VanesaEasdale, Marcos HoracioGRAZINGBIOMASSRESOURCE CAPTURE EFFICIENCYARID REGIONShttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Extensive livestock production on rangelands involves continuous biomass extraction, as various plant species serve as food for different animal populations. Unlike agricultural systems, rangeland biomass extraction reduces plant size without their complete removal, leading to more complicated management strategies. Mathematical models could predict where plant biomass is available, to relocate animals accordingly, but the current state of the art offers plant population models with a single variable, confusing growth rate, fitness, and carrying capacity. This study addresses this limitation through a model that divides plant populations into two state variables: i) total biomass ( ) and ii) the number of individuals/vegetation cover ( ). Biomass follows a standard logistic population dynamic constrained by the carrying capacity of the ecosystem, while represents population spread and resource acquisition. The model integrates Schaeffer and Noy-Meir logistic population models with biomass extraction and includes a seeding term ( ) to account for human interventions. Results showed that system stability and equilibrium depend on the efficiency parameter ( ), which links and . Higher values reduced the system´s maximum yield under biomass extraction, highlighting the trade-off between vegetation cover and biomass productivity. This model provides a promising alternative for describing rangeland dynamics under extensive livestock production.Fil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rossini, Luca. Université Libre de Bruxelles; BélgicaFil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaImeko2025-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/273379Bruzzone, Octavio Augusto; Rossini, Luca; Perri, Daiana Vanesa; Easdale, Marcos Horacio; A model for the population dynamics of plants under extensive livestock grazing; Imeko; Acta Imeko; 14; 3; 9-2025; 1-172221-870XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://acta.imeko.org/index.php/acta-imeko/article/view/2039info:eu-repo/semantics/altIdentifier/doi/10.21014/actaimeko.v14i3.2039info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:08:06Zoai:ri.conicet.gov.ar:11336/273379instacron: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:34982025-10-22 12:08:06.336CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A model for the population dynamics of plants under extensive livestock grazing
title A model for the population dynamics of plants under extensive livestock grazing
spellingShingle A model for the population dynamics of plants under extensive livestock grazing
Bruzzone, Octavio Augusto
GRAZING
BIOMASS
RESOURCE CAPTURE EFFICIENCY
ARID REGIONS
title_short A model for the population dynamics of plants under extensive livestock grazing
title_full A model for the population dynamics of plants under extensive livestock grazing
title_fullStr A model for the population dynamics of plants under extensive livestock grazing
title_full_unstemmed A model for the population dynamics of plants under extensive livestock grazing
title_sort A model for the population dynamics of plants under extensive livestock grazing
dc.creator.none.fl_str_mv Bruzzone, Octavio Augusto
Rossini, Luca
Perri, Daiana Vanesa
Easdale, Marcos Horacio
author Bruzzone, Octavio Augusto
author_facet Bruzzone, Octavio Augusto
Rossini, Luca
Perri, Daiana Vanesa
Easdale, Marcos Horacio
author_role author
author2 Rossini, Luca
Perri, Daiana Vanesa
Easdale, Marcos Horacio
author2_role author
author
author
dc.subject.none.fl_str_mv GRAZING
BIOMASS
RESOURCE CAPTURE EFFICIENCY
ARID REGIONS
topic GRAZING
BIOMASS
RESOURCE CAPTURE EFFICIENCY
ARID REGIONS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Extensive livestock production on rangelands involves continuous biomass extraction, as various plant species serve as food for different animal populations. Unlike agricultural systems, rangeland biomass extraction reduces plant size without their complete removal, leading to more complicated management strategies. Mathematical models could predict where plant biomass is available, to relocate animals accordingly, but the current state of the art offers plant population models with a single variable, confusing growth rate, fitness, and carrying capacity. This study addresses this limitation through a model that divides plant populations into two state variables: i) total biomass ( ) and ii) the number of individuals/vegetation cover ( ). Biomass follows a standard logistic population dynamic constrained by the carrying capacity of the ecosystem, while represents population spread and resource acquisition. The model integrates Schaeffer and Noy-Meir logistic population models with biomass extraction and includes a seeding term ( ) to account for human interventions. Results showed that system stability and equilibrium depend on the efficiency parameter ( ), which links and . Higher values reduced the system´s maximum yield under biomass extraction, highlighting the trade-off between vegetation cover and biomass productivity. This model provides a promising alternative for describing rangeland dynamics under extensive livestock production.
Fil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rossini, Luca. Université Libre de Bruxelles; Bélgica
Fil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Extensive livestock production on rangelands involves continuous biomass extraction, as various plant species serve as food for different animal populations. Unlike agricultural systems, rangeland biomass extraction reduces plant size without their complete removal, leading to more complicated management strategies. Mathematical models could predict where plant biomass is available, to relocate animals accordingly, but the current state of the art offers plant population models with a single variable, confusing growth rate, fitness, and carrying capacity. This study addresses this limitation through a model that divides plant populations into two state variables: i) total biomass ( ) and ii) the number of individuals/vegetation cover ( ). Biomass follows a standard logistic population dynamic constrained by the carrying capacity of the ecosystem, while represents population spread and resource acquisition. The model integrates Schaeffer and Noy-Meir logistic population models with biomass extraction and includes a seeding term ( ) to account for human interventions. Results showed that system stability and equilibrium depend on the efficiency parameter ( ), which links and . Higher values reduced the system´s maximum yield under biomass extraction, highlighting the trade-off between vegetation cover and biomass productivity. This model provides a promising alternative for describing rangeland dynamics under extensive livestock production.
publishDate 2025
dc.date.none.fl_str_mv 2025-09
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/11336/273379
Bruzzone, Octavio Augusto; Rossini, Luca; Perri, Daiana Vanesa; Easdale, Marcos Horacio; A model for the population dynamics of plants under extensive livestock grazing; Imeko; Acta Imeko; 14; 3; 9-2025; 1-17
2221-870X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/273379
identifier_str_mv Bruzzone, Octavio Augusto; Rossini, Luca; Perri, Daiana Vanesa; Easdale, Marcos Horacio; A model for the population dynamics of plants under extensive livestock grazing; Imeko; Acta Imeko; 14; 3; 9-2025; 1-17
2221-870X
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://acta.imeko.org/index.php/acta-imeko/article/view/2039
info:eu-repo/semantics/altIdentifier/doi/10.21014/actaimeko.v14i3.2039
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Imeko
publisher.none.fl_str_mv Imeko
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
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
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score 12.982451

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