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dc.contributor.author
Maestri, María Laura  
dc.contributor.author
Ferrati, Rosana  
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Berkunsky, Igor  
dc.date.available
2022-11-24T11:19:38Z  
dc.date.issued
2017-10  
dc.identifier.citation
Maestri, María Laura; Ferrati, Rosana; Berkunsky, Igor; Evaluating management strategies in the conservation of the critically endangered Blue-throated Macaw (Ara glaucogularis); Elsevier Science; Ecological Modelling; 361; 10-2017; 74-79  
dc.identifier.issn
0304-3800  
dc.identifier.uri
http://hdl.handle.net/11336/178760  
dc.description.abstract
We model the dynamics of the remaining wild population of the Blue-throated Macaw (Ara glaucogularis), a critically endangered and Bolivian endemic species exposed to different management strategies. The model becomes a tool to quantify how effective management actions may be. We construct a birth-pulse, post breeding census, deterministic, stage structured projection matrix model to describe the population dynamics. The model shows that population growth is sensitive to changes in the probability of survival in the adult stage, followed by changes in fertility. We describe the long-term behavior of the population as result of the combination of the maternity function and the nestlings’ survival probability. Under the scenarios of increasing population, the number of years that are necessary to double the current wild population varied between 33 and 215 years without reintroduction, and between 7 and 46 years if 50 adult macaws are reintroduced ten years later since the simulation starts. Stakeholders of the Blue-throated Macaw Conservation Project may profit from a simple graphical tool based on this model for management decision making. By knowing the adult population size and the number of hatched eggs at the beginning of each breeding season, the field team could assess the necessary effort on nestlings’ management to increase the chances of a positive population growth. Evaluating beforehand the impact of management actions on Blue-throated Macaws could contribute to the improvement and effectiveness of conservation actions on the critically endangered Blue-throated Macaw population.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BLUE-THROATED MACAW  
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CONSERVATION STRATEGIES  
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LIFE CYCLE GRAPHS  
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MATRIX MODEL  
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REINTRODUCTION  
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Conservación de la Biodiversidad  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Evaluating management strategies in the conservation of the critically endangered Blue-throated Macaw (Ara glaucogularis)  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-11-23T18:07:11Z  
dc.journal.volume
361  
dc.journal.pagination
74-79  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Maestri, María Laura. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable. Grupo de Ecología Matemática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina  
dc.description.fil
Fil: Ferrati, Rosana. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable. Grupo de Ecología Matemática; Argentina  
dc.description.fil
Fil: Berkunsky, Igor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable. Grupo de Ecología Matemática; Argentina  
dc.journal.title
Ecological Modelling  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0304380017303435  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ecolmodel.2017.07.023