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dc.contributor.author
Austrich, Ailin
dc.contributor.author
Kittlein, Marcelo Javier
dc.contributor.author
Mora, Matias Sebastian
dc.contributor.author
Mapelli, Fernando Javier
dc.date.available
2022-09-07T19:49:23Z
dc.date.issued
2021-08
dc.identifier.citation
Austrich, Ailin; Kittlein, Marcelo Javier; Mora, Matias Sebastian; Mapelli, Fernando Javier; Potential distribution models from two highly endemic species of subterranean rodents of Argentina: which environmental variables have better performance in highly specialized species?; Elsevier Gmbh; Mammalian Biology; 101; 4; 8-2021; 503-519
dc.identifier.issn
1616-5047
dc.identifier.uri
http://hdl.handle.net/11336/167826
dc.description.abstract
South American rodents of the genus Ctenomys (tuco-tucos) occupy the underground environment, present high specificity to loose and friable soils and have restricted mobility, with a generally fragmented distribution. We use species distribution models (SDMs) in two Ctenomys species from the Atlantic coast and continental areas of Argentina. We develop SDMs using Maxent software for Ctenomys australis and Ctenomys talarum, which coexist in a narrow coastal landscape with restricted distributions. We model the potential distributions of both species using, first, bioclimatic variables (Group 1), and second, Landsat 8 bands and granulometric layers (Group 2). According to the known distributions of the species, the Group 2 variables showed the greatest accuracy for inferring their potential distributions. The most important variables for predicting habitat suitability were, primarily, the majority of granulometric variables and some Landsat 8 bands such as the bands 4 and 5, related to the vegetation cover. We also analyze the level of overlapping niches between these two species, and we found that there is a certain degree of geographical overlap between them, and also present ecologically similar niches, despite the fact that the characteristics of their habitats differ in certain aspects. We conclude that in tuco-tucos species, their potential distributions are better predicted by variables that consider the particular characteristics of soils and cover vegetation, since they are specialized species of substrates. Also, a higher spatial resolution allows a better performance of the Ctenomys species models, which was expected for species with restricted distributions.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Gmbh
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CTENOMYS
dc.subject
ENVIRONMENTAL VARIABLES
dc.subject
MAXENT
dc.subject
NICHE OVERLAP
dc.subject
RESTRICTED DISTRIBUTIONS
dc.subject
SPECIES DISTRIBUTION MODELS
dc.subject
SYMPATRIC DISTRIBUTIONS
dc.subject.classification
Ecología
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Potential distribution models from two highly endemic species of subterranean rodents of Argentina: which environmental variables have better performance in highly specialized species?
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-06T18:41:18Z
dc.journal.volume
101
dc.journal.number
4
dc.journal.pagination
503-519
dc.journal.pais
Alemania
dc.journal.ciudad
Berlín
dc.description.fil
Fil: Austrich, Ailin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
dc.description.fil
Fil: Kittlein, Marcelo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
dc.description.fil
Fil: Mora, Matias Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
dc.description.fil
Fil: Mapelli, Fernando Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; Argentina
dc.journal.title
Mammalian Biology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s42991-021-00150-1
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s42991-021-00150-1
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