Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator

Autores
Morales, Matias; Bagnatori Sartori, Angela Lucia; Prado, Darién Eros; Fortunato, Renée Hersilia
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Gran Chaco ecoregion is the second largest forest in South America and exhibits the highest deforestation rate in the world, threatened by the expansion of agriculture, lodging and cattle grazing. The Chacoan endemism richness has still been not adequately investigated. In this work, we detected areas of endemism (AEs) and centers of endemism (CEs) using Fabaceae as a proxy, with a novel combination of analyses to explore the endemism distribution pattern of Chacoan plants: NDM-VNDM analyses to detect AEs, and endemic indexes and clustering to detect CEs. We recovered regions with high concentration of endemic and highly restricted taxa: (1) Sierra Chaco; (2) Sierra/ Arid Chaco ecotone; (3) the interior Dry Chaco; (4) the upper Paraguay River Basin; and (5) the Low Paraguay–Paraná River Basins. We also determined which taxa contributed to configure the AEs and CEs, the environmental variables explaining their potential distribution, the ecological niche overlap and preferences of habitat between them. Dry Interior Chaco and the Dry/Sierra Chaco ecotone included taxa sharing similar and highly overlapped niches. The remainder, located in Humid and Sierra Chaco, showed restricted and variably overlapped ecological niches, suggesting a complexity of habitats requiring further intensive sampling for conservation measures. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) also recovered grouping patterns contributing to improve the regionalization of the Gran Chaco based on the exclusive species of its biota. These areas are potential biodiversity hotspots and speciation centers for the native flora in subtropical South America and can serve as tools for conservation policies, especially in Sierra Chaco and Dry Chaco.
Instituto de Recursos Biológicos
Fil: Morales, Matías M. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Morón. Escuela Superior de Ingeniería, Informática y Ciencias Agroalimentarias; Argentina
Fil: Bagnatori Sartori, Angela Lucia. Universidade Federal de Mato Grosso Campo Grande; Brasil
Fil: Prado, Darién Eros. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina; Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Fortunato, Renée Hersilia. Instituto de Botánica Darwiniaon (Academia Nacional de Ciencias Exactas, Físicas y Naturales-CONICET); Argentina
Fuente
Scientific Reports 15 : Article number: 9572 (2025)
Materia
Fabaceae
Endemism
Endemismo
Identidad Taxonómica
Región Gran Chaco
Taxonomic Identity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicatorMorales, MatiasBagnatori Sartori, Angela LuciaPrado, Darién ErosFortunato, Renée HersiliaFabaceaeEndemismEndemismoIdentidad TaxonómicaRegión Gran ChacoTaxonomic IdentityThe Gran Chaco ecoregion is the second largest forest in South America and exhibits the highest deforestation rate in the world, threatened by the expansion of agriculture, lodging and cattle grazing. The Chacoan endemism richness has still been not adequately investigated. In this work, we detected areas of endemism (AEs) and centers of endemism (CEs) using Fabaceae as a proxy, with a novel combination of analyses to explore the endemism distribution pattern of Chacoan plants: NDM-VNDM analyses to detect AEs, and endemic indexes and clustering to detect CEs. We recovered regions with high concentration of endemic and highly restricted taxa: (1) Sierra Chaco; (2) Sierra/ Arid Chaco ecotone; (3) the interior Dry Chaco; (4) the upper Paraguay River Basin; and (5) the Low Paraguay–Paraná River Basins. We also determined which taxa contributed to configure the AEs and CEs, the environmental variables explaining their potential distribution, the ecological niche overlap and preferences of habitat between them. Dry Interior Chaco and the Dry/Sierra Chaco ecotone included taxa sharing similar and highly overlapped niches. The remainder, located in Humid and Sierra Chaco, showed restricted and variably overlapped ecological niches, suggesting a complexity of habitats requiring further intensive sampling for conservation measures. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) also recovered grouping patterns contributing to improve the regionalization of the Gran Chaco based on the exclusive species of its biota. These areas are potential biodiversity hotspots and speciation centers for the native flora in subtropical South America and can serve as tools for conservation policies, especially in Sierra Chaco and Dry Chaco.Instituto de Recursos BiológicosFil: Morales, Matías M. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Morón. Escuela Superior de Ingeniería, Informática y Ciencias Agroalimentarias; ArgentinaFil: Bagnatori Sartori, Angela Lucia. Universidade Federal de Mato Grosso Campo Grande; BrasilFil: Prado, Darién Eros. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina; Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Fortunato, Renée Hersilia. Instituto de Botánica Darwiniaon (Academia Nacional de Ciencias Exactas, Físicas y Naturales-CONICET); ArgentinaSpringer Nature2025-07-04T11:25:36Z2025-07-04T11:25:36Z2025-03-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/22890https://www.nature.com/articles/s41598-025-90091-32045-2322http://doi.org/10.1038/s41598-025-90091-3Scientific Reports 15 : Article number: 9572 (2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-11-06T09:42:46Zoai:localhost:20.500.12123/22890instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-11-06 09:42:46.592INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
title Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
spellingShingle Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
Morales, Matias
Fabaceae
Endemism
Endemismo
Identidad Taxonómica
Región Gran Chaco
Taxonomic Identity
title_short Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
title_full Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
title_fullStr Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
title_full_unstemmed Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
title_sort Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
dc.creator.none.fl_str_mv Morales, Matias
Bagnatori Sartori, Angela Lucia
Prado, Darién Eros
Fortunato, Renée Hersilia
author Morales, Matias
author_facet Morales, Matias
Bagnatori Sartori, Angela Lucia
Prado, Darién Eros
Fortunato, Renée Hersilia
author_role author
author2 Bagnatori Sartori, Angela Lucia
Prado, Darién Eros
Fortunato, Renée Hersilia
author2_role author
author
author
dc.subject.none.fl_str_mv Fabaceae
Endemism
Endemismo
Identidad Taxonómica
Región Gran Chaco
Taxonomic Identity
topic Fabaceae
Endemism
Endemismo
Identidad Taxonómica
Región Gran Chaco
Taxonomic Identity
dc.description.none.fl_txt_mv The Gran Chaco ecoregion is the second largest forest in South America and exhibits the highest deforestation rate in the world, threatened by the expansion of agriculture, lodging and cattle grazing. The Chacoan endemism richness has still been not adequately investigated. In this work, we detected areas of endemism (AEs) and centers of endemism (CEs) using Fabaceae as a proxy, with a novel combination of analyses to explore the endemism distribution pattern of Chacoan plants: NDM-VNDM analyses to detect AEs, and endemic indexes and clustering to detect CEs. We recovered regions with high concentration of endemic and highly restricted taxa: (1) Sierra Chaco; (2) Sierra/ Arid Chaco ecotone; (3) the interior Dry Chaco; (4) the upper Paraguay River Basin; and (5) the Low Paraguay–Paraná River Basins. We also determined which taxa contributed to configure the AEs and CEs, the environmental variables explaining their potential distribution, the ecological niche overlap and preferences of habitat between them. Dry Interior Chaco and the Dry/Sierra Chaco ecotone included taxa sharing similar and highly overlapped niches. The remainder, located in Humid and Sierra Chaco, showed restricted and variably overlapped ecological niches, suggesting a complexity of habitats requiring further intensive sampling for conservation measures. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) also recovered grouping patterns contributing to improve the regionalization of the Gran Chaco based on the exclusive species of its biota. These areas are potential biodiversity hotspots and speciation centers for the native flora in subtropical South America and can serve as tools for conservation policies, especially in Sierra Chaco and Dry Chaco.
Instituto de Recursos Biológicos
Fil: Morales, Matías M. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Morón. Escuela Superior de Ingeniería, Informática y Ciencias Agroalimentarias; Argentina
Fil: Bagnatori Sartori, Angela Lucia. Universidade Federal de Mato Grosso Campo Grande; Brasil
Fil: Prado, Darién Eros. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina; Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Fortunato, Renée Hersilia. Instituto de Botánica Darwiniaon (Academia Nacional de Ciencias Exactas, Físicas y Naturales-CONICET); Argentina
description The Gran Chaco ecoregion is the second largest forest in South America and exhibits the highest deforestation rate in the world, threatened by the expansion of agriculture, lodging and cattle grazing. The Chacoan endemism richness has still been not adequately investigated. In this work, we detected areas of endemism (AEs) and centers of endemism (CEs) using Fabaceae as a proxy, with a novel combination of analyses to explore the endemism distribution pattern of Chacoan plants: NDM-VNDM analyses to detect AEs, and endemic indexes and clustering to detect CEs. We recovered regions with high concentration of endemic and highly restricted taxa: (1) Sierra Chaco; (2) Sierra/ Arid Chaco ecotone; (3) the interior Dry Chaco; (4) the upper Paraguay River Basin; and (5) the Low Paraguay–Paraná River Basins. We also determined which taxa contributed to configure the AEs and CEs, the environmental variables explaining their potential distribution, the ecological niche overlap and preferences of habitat between them. Dry Interior Chaco and the Dry/Sierra Chaco ecotone included taxa sharing similar and highly overlapped niches. The remainder, located in Humid and Sierra Chaco, showed restricted and variably overlapped ecological niches, suggesting a complexity of habitats requiring further intensive sampling for conservation measures. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) also recovered grouping patterns contributing to improve the regionalization of the Gran Chaco based on the exclusive species of its biota. These areas are potential biodiversity hotspots and speciation centers for the native flora in subtropical South America and can serve as tools for conservation policies, especially in Sierra Chaco and Dry Chaco.
publishDate 2025
dc.date.none.fl_str_mv 2025-07-04T11:25:36Z
2025-07-04T11:25:36Z
2025-03-20
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/22890
https://www.nature.com/articles/s41598-025-90091-3
2045-2322
http://doi.org/10.1038/s41598-025-90091-3
url http://hdl.handle.net/20.500.12123/22890
https://www.nature.com/articles/s41598-025-90091-3
http://doi.org/10.1038/s41598-025-90091-3
identifier_str_mv 2045-2322
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv Scientific Reports 15 : Article number: 9572 (2025)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
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instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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