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dc.contributor.author
Rupil, Gabriel Martín  
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Daura Jorge, Fábio G.  
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Pagliosa, Paulo R.  
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Wedekin, Leonardo L.  
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Freire, Andrea S.  
dc.contributor.author
Angelini, Ronaldo  
dc.date.available
2023-12-05T17:55:54Z  
dc.date.issued
2023-05  
dc.identifier.citation
Rupil, Gabriel Martín; Daura Jorge, Fábio G.; Pagliosa, Paulo R.; Wedekin, Leonardo L.; Freire, Andrea S.; et al.; To be or not to be controlled?: The ecological role of the Guiana dolphin in its southernmost range; Academic Press Ltd - Elsevier Science Ltd; Estuarine, Coastal and Shelf Science; 288; 5-2023; 1-10  
dc.identifier.issn
0272-7714  
dc.identifier.uri
http://hdl.handle.net/11336/219376  
dc.description.abstract
Several studies have explored dolphins feeding ecology in coastal ecosystems; However, research gauging the predatory effects of delphinid on ecosystems, which can be applied to management and conservation efforts, is still lacking. The northwestern section of the bay of Santa Catarina Island, locally known as North Bay, in Southern Brazil, inhabits the southernmost population of the Guiana dolphin (Sotalia guianensis). This small and resident population is structured in a single and highly cohesive group, using a small home range restricted to the western section of the bay. Like many other coastal dolphins, this dolphin population negatively interacts with fisheries, with frequent bycatch events or by sharing feeding resources. To explore the ecological role of dolphins in the North Bay ecosystem, we constructed an Ecopath food web model to estimate ecosystem and compartmental attributes. Mixed trophic impact and keystoneness index were used to assess the predatory effects of the species in the ecosystem. As a complementary approach to Ecopath, we used ecological network analysis (ENA) to determine the ecological role of the compartments using control analysis and the throughflow centrality. According to our model, North Bay is a mature detritus-based ecosystem. Dolphins showed the highest keystoneness index score among all functional groups, while control analysis showed they are also the most controlled component in the ecosystem. The dolphins rely mainly on the Whitemouth croaker (Micropogonias furnieri), a hub species showing the greatest centrality of flows. We concluded that the Guiana dolphin inhabiting the North Bay is a crucial compartment in the ecosystem. It shows the greatest ecosystem impact per biomass unit among all functional groups, while it is the most vulnerable compartment.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Academic Press Ltd - Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BRAZIL  
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ECOLOGICAL FUNCTION  
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ECOLOGICAL NETWORK ANALYSIS  
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ECOPATH  
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MICROPOGONIAS FURNIERI  
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SOTALIA GUIANENSIS  
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Ecología  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
To be or not to be controlled?: The ecological role of the Guiana dolphin in its southernmost range  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-12-05T15:06:39Z  
dc.journal.volume
288  
dc.journal.pagination
1-10  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Rupil, Gabriel Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina  
dc.description.fil
Fil: Daura Jorge, Fábio G.. Universidade Federal de Santa Catarina; Brasil  
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Fil: Pagliosa, Paulo R.. Universidade Federal de Santa Catarina; Brasil  
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Fil: Wedekin, Leonardo L.. Universidade Federal de Santa Catarina; Brasil  
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Fil: Freire, Andrea S.. Universidade Federal de Santa Catarina; Brasil  
dc.description.fil
Fil: Angelini, Ronaldo. Universidade Federal do Rio Grande do Norte; Brasil  
dc.journal.title
Estuarine, Coastal and Shelf Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.ecss.2023.108360