Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
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...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Springer Nature
2025
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| Acceso en línea: | 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 |
| _version_ | 1855487027200393216 |
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| author | Morales, Matias Bagnatori Sartori, Angela Lucia Prado, Darién Eros Fortunato, Renée Hersilia |
| author_browse | Bagnatori Sartori, Angela Lucia Fortunato, Renée Hersilia Morales, Matias Prado, Darién Eros |
| author_facet | Morales, Matias Bagnatori Sartori, Angela Lucia Prado, Darién Eros Fortunato, Renée Hersilia |
| author_sort | Morales, Matias |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA22890 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | dspace |
| spelling | INTA228902025-07-04T11:38:08Z Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator Morales, Matias Bagnatori Sartori, Angela Lucia Prado, Darién Eros Fortunato, Renée Hersilia Fabaceae Endemism Endemismo Identidad Taxonómica Región Gran Chaco Taxonomic Identity 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 2025-07-04T11:25:36Z 2025-07-04T11:25:36Z 2025-03-20 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Springer Nature Scientific Reports 15 : Article number: 9572 (2025) |
| spellingShingle | Fabaceae Endemism Endemismo Identidad Taxonómica Región Gran Chaco Taxonomic Identity Morales, Matias Bagnatori Sartori, Angela Lucia Prado, Darién Eros Fortunato, Renée Hersilia 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 |
| 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_short | 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 |
| topic | Fabaceae Endemism Endemismo Identidad Taxonómica Región Gran Chaco Taxonomic Identity |
| 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 |
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