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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/78224
Ver los metadatos del registro completo
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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 Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/78224 |
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http://sedici.unlp.edu.ar/handle/10915/78224 |
dc.language.none.fl_str_mv |
eng |
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eng |
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info:eu-repo/semantics/altIdentifier/issn/1932-6203 info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0186655 |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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