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dc.contributor.author
Brancatelli, Gabriela Ivanna Elizabeth
dc.contributor.author
Amodeo, Martín Raúl
dc.contributor.author
Zalba, Sergio Martín
dc.date.available
2023-07-11T15:45:16Z
dc.date.issued
2022-11
dc.identifier.citation
Brancatelli, Gabriela Ivanna Elizabeth; Amodeo, Martín Raúl; Zalba, Sergio Martín; Demographic model for Aleppo pine invading Argentinean grasslands; Elsevier Science; Ecological Modelling; 473; 11-2022; 1-11
dc.identifier.issn
0304-3800
dc.identifier.uri
http://hdl.handle.net/11336/203290
dc.description.abstract
Biological invasions represent one of the most significant threats to the conservation of biological diversity. Understanding the population dynamics of an invasive species is essential to detecting key components that allow the development of an effective management strategy. South American Pampas are particularly vulnerable to the invasion by alien woody plants that threaten the last remnants of native biodiversity. Aleppo pine (Pinus halepensis) invades mountain grasslands in southern Buenos Aires province, Argentina, where it changes the structure and dynamics of the whole ecosystem. We combined information on the biology of the species in its native range with our data in the invaded area to develop a population model aimed at understanding the invasion process and detecting key parameters associated with its success. A 12 × 12 stage-structured matrix model was used to describe the dynamics of the species in the area, through deterministic and stochastic projections. Population growth rates were greater than one for both types of projections, in accordance with its invasive capacity in the area. Elasticity analysis highlights the contribution of survival at the first adult stage (seven to 14 years) to the population growth rate, and in this way, draws attention to this stage when developing a species control strategy. Aleppo pine shares key biological characteristics with other high-impact invasive pine species in Argentina and other countries in the Southern Hemisphere. These similarities include the presence of serotinous cones and an abundant seed bank in the canopy, recruitment conditioned by competition in the regeneration niche, and a relatively short juvenile period. In this way, the model developed in this work could be easily adjusted for similar situations involving invasive congeners in other grassland ecosystems.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ELASTICITY
dc.subject
GRASSLANDS
dc.subject
INVASIVE PINES
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POPULATION PROJECTION MODELS
dc.subject.classification
Conservación de la Biodiversidad
dc.subject.classification
Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Demographic model for Aleppo pine invading Argentinean grasslands
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-05T12:35:56Z
dc.journal.volume
473
dc.journal.pagination
1-11
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Brancatelli, Gabriela Ivanna Elizabeth. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia. Grupo de Estudios en Conservación y Manejo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Amodeo, Martín Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia. Grupo de Estudios en Conservación y Manejo; Argentina
dc.description.fil
Fil: Zalba, Sergio Martín. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia. Grupo de Estudios en Conservación y Manejo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Ecological Modelling
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.ecolmodel.2022.110143
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0304380022002447
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