The fate of endemic insects of the Andean region under the effect of global warming

Autores
Montemayor Borsinger, Sara Itzel; Melo, María Cecilia; Scattolini, María Celeste; Pocco, Martina Eugenia; Río, María Guadalupe del; Dellapé, Gimena; Scheibler, Erica Elizabeth; Roig-Juñent, Sergio; Cazorla, Carla Gisela; Dellapé, Pablo Matías
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Three independent but complementary lines of research have provided evidence for the recognition of refugia: paleontology, phylogeography and species distributional modelling (SDM). SDM assesses the ecological requirements of a species based on its known occurrences and enables its distribution to be projected on past climatological reconstructions. One advantage over the other two approaches is that it provides an explicit link to environment and geography, thereby enabling the analysis of a large number of taxa in the search for more general refugia patterns. We propose a methodology for using SDM to recognize biogeographical patterns of endemic insects from Southern South America. We built species distributional models for 59 insect species using Maxent. The species analyzed in the study have narrow niche breadth and were classified into four assemblages according to the ecoregion they inhabit. Models were built for the Late Pleistocene, Mid-Holocene and Present. Through the procedure developed for this study we used the models to recognize: Late Pleistocene refugia; areas with high species richness during all three periods; climatically constant areas (in situ refugia); consistent patterns among in situ refugia, Pleistocene refugia and current distribution of endemic species. We recognized two adjacent Pleistocene refugia with distinct climates; four in situ refugia, some of which are undergoing a process of fragmentation and retraction or enlargement. Interestingly, we found a congruent pattern among in situ refugia, Pleistocene refugia and endemic species. Our results seem to be consistent with the idea that long-term climate stability is known to have a key role in promoting persistence of biodiversity in an area. Our Pleistocene and in situ refugia are consistent with refugia identified in studies focusing on different taxa and applying other methodologies, showing that the method developed can be used to identify such areas and prove their importance for conservation.
Facultad de Ciencias Naturales y Museo
Materia
Ciencias Naturales
Insectos
species distributional modelling
biogeographical patterns
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/78224

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network_name_str SEDICI (UNLP)
spelling The fate of endemic insects of the Andean region under the effect of global warmingMontemayor Borsinger, Sara ItzelMelo, María CeciliaScattolini, María CelestePocco, Martina EugeniaRío, María Guadalupe delDellapé, GimenaScheibler, Erica ElizabethRoig-Juñent, SergioCazorla, Carla GiselaDellapé, Pablo MatíasCiencias NaturalesInsectosspecies distributional modellingbiogeographical patternsThree independent but complementary lines of research have provided evidence for the recognition of refugia: paleontology, phylogeography and species distributional modelling (SDM). SDM assesses the ecological requirements of a species based on its known occurrences and enables its distribution to be projected on past climatological reconstructions. One advantage over the other two approaches is that it provides an explicit link to environment and geography, thereby enabling the analysis of a large number of taxa in the search for more general refugia patterns. We propose a methodology for using SDM to recognize biogeographical patterns of endemic insects from Southern South America. We built species distributional models for 59 insect species using Maxent. The species analyzed in the study have narrow niche breadth and were classified into four assemblages according to the ecoregion they inhabit. Models were built for the Late Pleistocene, Mid-Holocene and Present. Through the procedure developed for this study we used the models to recognize: Late Pleistocene refugia; areas with high species richness during all three periods; climatically constant areas (in situ refugia); consistent patterns among in situ refugia, Pleistocene refugia and current distribution of endemic species. We recognized two adjacent Pleistocene refugia with distinct climates; four in situ refugia, some of which are undergoing a process of fragmentation and retraction or enlargement. Interestingly, we found a congruent pattern among in situ refugia, Pleistocene refugia and endemic species. Our results seem to be consistent with the idea that long-term climate stability is known to have a key role in promoting persistence of biodiversity in an area. Our Pleistocene and in situ refugia are consistent with refugia identified in studies focusing on different taxa and applying other methodologies, showing that the method developed can be used to identify such areas and prove their importance for conservation.Facultad de Ciencias Naturales y Museo2017-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/78224enginfo:eu-repo/semantics/altIdentifier/issn/1932-6203info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0186655info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:14:07Zoai:sedici.unlp.edu.ar:10915/78224Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:14:07.807SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The fate of endemic insects of the Andean region under the effect of global warming
title The fate of endemic insects of the Andean region under the effect of global warming
spellingShingle The fate of endemic insects of the Andean region under the effect of global warming
Montemayor Borsinger, Sara Itzel
Ciencias Naturales
Insectos
species distributional modelling
biogeographical patterns
title_short The fate of endemic insects of the Andean region under the effect of global warming
title_full The fate of endemic insects of the Andean region under the effect of global warming
title_fullStr The fate of endemic insects of the Andean region under the effect of global warming
title_full_unstemmed The fate of endemic insects of the Andean region under the effect of global warming
title_sort The fate of endemic insects of the Andean region under the effect of global warming
dc.creator.none.fl_str_mv Montemayor Borsinger, Sara Itzel
Melo, María Cecilia
Scattolini, María Celeste
Pocco, Martina Eugenia
Río, María Guadalupe del
Dellapé, Gimena
Scheibler, Erica Elizabeth
Roig-Juñent, Sergio
Cazorla, Carla Gisela
Dellapé, Pablo Matías
author Montemayor Borsinger, Sara Itzel
author_facet Montemayor Borsinger, Sara Itzel
Melo, María Cecilia
Scattolini, María Celeste
Pocco, Martina Eugenia
Río, María Guadalupe del
Dellapé, Gimena
Scheibler, Erica Elizabeth
Roig-Juñent, Sergio
Cazorla, Carla Gisela
Dellapé, Pablo Matías
author_role author
author2 Melo, María Cecilia
Scattolini, María Celeste
Pocco, Martina Eugenia
Río, María Guadalupe del
Dellapé, Gimena
Scheibler, Erica Elizabeth
Roig-Juñent, Sergio
Cazorla, Carla Gisela
Dellapé, Pablo Matías
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Naturales
Insectos
species distributional modelling
biogeographical patterns
topic Ciencias Naturales
Insectos
species distributional modelling
biogeographical patterns
dc.description.none.fl_txt_mv Three independent but complementary lines of research have provided evidence for the recognition of refugia: paleontology, phylogeography and species distributional modelling (SDM). SDM assesses the ecological requirements of a species based on its known occurrences and enables its distribution to be projected on past climatological reconstructions. One advantage over the other two approaches is that it provides an explicit link to environment and geography, thereby enabling the analysis of a large number of taxa in the search for more general refugia patterns. We propose a methodology for using SDM to recognize biogeographical patterns of endemic insects from Southern South America. We built species distributional models for 59 insect species using Maxent. The species analyzed in the study have narrow niche breadth and were classified into four assemblages according to the ecoregion they inhabit. Models were built for the Late Pleistocene, Mid-Holocene and Present. Through the procedure developed for this study we used the models to recognize: Late Pleistocene refugia; areas with high species richness during all three periods; climatically constant areas (in situ refugia); consistent patterns among in situ refugia, Pleistocene refugia and current distribution of endemic species. We recognized two adjacent Pleistocene refugia with distinct climates; four in situ refugia, some of which are undergoing a process of fragmentation and retraction or enlargement. Interestingly, we found a congruent pattern among in situ refugia, Pleistocene refugia and endemic species. Our results seem to be consistent with the idea that long-term climate stability is known to have a key role in promoting persistence of biodiversity in an area. Our Pleistocene and in situ refugia are consistent with refugia identified in studies focusing on different taxa and applying other methodologies, showing that the method developed can be used to identify such areas and prove their importance for conservation.
Facultad de Ciencias Naturales y Museo
description Three independent but complementary lines of research have provided evidence for the recognition of refugia: paleontology, phylogeography and species distributional modelling (SDM). SDM assesses the ecological requirements of a species based on its known occurrences and enables its distribution to be projected on past climatological reconstructions. One advantage over the other two approaches is that it provides an explicit link to environment and geography, thereby enabling the analysis of a large number of taxa in the search for more general refugia patterns. We propose a methodology for using SDM to recognize biogeographical patterns of endemic insects from Southern South America. We built species distributional models for 59 insect species using Maxent. The species analyzed in the study have narrow niche breadth and were classified into four assemblages according to the ecoregion they inhabit. Models were built for the Late Pleistocene, Mid-Holocene and Present. Through the procedure developed for this study we used the models to recognize: Late Pleistocene refugia; areas with high species richness during all three periods; climatically constant areas (in situ refugia); consistent patterns among in situ refugia, Pleistocene refugia and current distribution of endemic species. We recognized two adjacent Pleistocene refugia with distinct climates; four in situ refugia, some of which are undergoing a process of fragmentation and retraction or enlargement. Interestingly, we found a congruent pattern among in situ refugia, Pleistocene refugia and endemic species. Our results seem to be consistent with the idea that long-term climate stability is known to have a key role in promoting persistence of biodiversity in an area. Our Pleistocene and in situ refugia are consistent with refugia identified in studies focusing on different taxa and applying other methodologies, showing that the method developed can be used to identify such areas and prove their importance for conservation.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/78224
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dc.language.none.fl_str_mv eng
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info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0186655
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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