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Biogeographic regionalization by spatial and environmental components: Numerical proposal
Regionalization through the analysis of species groups offers important advantages in conservation biology, compared to the single taxon approach in areas of high species richness. We use a systematic framework for biogeographic regionalization at a regional scale based on species turnover and envir...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205180/ https://www.ncbi.nlm.nih.gov/pubmed/34129612 http://dx.doi.org/10.1371/journal.pone.0253152 |
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author | Flores-Tolentino, Mayra Beltrán-Rodríguez, Leonardo Morales-Linares, Jonas Ramírez Rodríguez, J. Rolando Ibarra-Manríquez, Guillermo Dorado, Óscar Villaseñor, José Luis |
author_facet | Flores-Tolentino, Mayra Beltrán-Rodríguez, Leonardo Morales-Linares, Jonas Ramírez Rodríguez, J. Rolando Ibarra-Manríquez, Guillermo Dorado, Óscar Villaseñor, José Luis |
author_sort | Flores-Tolentino, Mayra |
collection | PubMed |
description | Regionalization through the analysis of species groups offers important advantages in conservation biology, compared to the single taxon approach in areas of high species richness. We use a systematic framework for biogeographic regionalization at a regional scale based on species turnover and environmental drivers (climate variables and soil properties) mainly of herbaceous plant species richness. To identify phytogeographic regions in the Balsas Depression (BD), we use Asteraceae species, a family widely distributed in Seasonally Dry Tropical Forest (SDTF) and the most diverse of the vascular plants in Mexico. Occurrence records of 571 species were used to apply a quantitative analysis based on the species turnover, the rate of changes in their composition between sites (β-Simpson index) and the analysis of the identified environmental drivers. Also, the environmental predictors that influence species richness in the SDTF were determined with a redundancy analysis. We identified and named two phytogeographic districts within the SDTF of the BD (Upper Balsas and Lower Balsas). According to the multi-response permutation procedure, floristic composition of the two districts differs significantly, and the richness of exclusive species in Upper Balsas was higher (292 species) than in the Lower Balsas (32 species). The proportion of Mg and Ca in the soil and the precipitation of the driest three-month period were the environmental factors with greatest positive influence on species richness. The division of geographic districts subordinated to the province level, based on diverse families such as Asteraceae, proved to be appropriate to set up strategies for the conservation of the regional flora, since at this scale, variation in species richness is more evident. Our findings are consistent with a growing body of biogeographic literature that indicates that the identification of smaller biotic districts is more efficient for the conservation of biodiversity, particularly of endemic or rare plants, whose distribution responds more to microhabitats variation. |
format | Online Article Text |
id | pubmed-8205180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82051802021-06-29 Biogeographic regionalization by spatial and environmental components: Numerical proposal Flores-Tolentino, Mayra Beltrán-Rodríguez, Leonardo Morales-Linares, Jonas Ramírez Rodríguez, J. Rolando Ibarra-Manríquez, Guillermo Dorado, Óscar Villaseñor, José Luis PLoS One Research Article Regionalization through the analysis of species groups offers important advantages in conservation biology, compared to the single taxon approach in areas of high species richness. We use a systematic framework for biogeographic regionalization at a regional scale based on species turnover and environmental drivers (climate variables and soil properties) mainly of herbaceous plant species richness. To identify phytogeographic regions in the Balsas Depression (BD), we use Asteraceae species, a family widely distributed in Seasonally Dry Tropical Forest (SDTF) and the most diverse of the vascular plants in Mexico. Occurrence records of 571 species were used to apply a quantitative analysis based on the species turnover, the rate of changes in their composition between sites (β-Simpson index) and the analysis of the identified environmental drivers. Also, the environmental predictors that influence species richness in the SDTF were determined with a redundancy analysis. We identified and named two phytogeographic districts within the SDTF of the BD (Upper Balsas and Lower Balsas). According to the multi-response permutation procedure, floristic composition of the two districts differs significantly, and the richness of exclusive species in Upper Balsas was higher (292 species) than in the Lower Balsas (32 species). The proportion of Mg and Ca in the soil and the precipitation of the driest three-month period were the environmental factors with greatest positive influence on species richness. The division of geographic districts subordinated to the province level, based on diverse families such as Asteraceae, proved to be appropriate to set up strategies for the conservation of the regional flora, since at this scale, variation in species richness is more evident. Our findings are consistent with a growing body of biogeographic literature that indicates that the identification of smaller biotic districts is more efficient for the conservation of biodiversity, particularly of endemic or rare plants, whose distribution responds more to microhabitats variation. Public Library of Science 2021-06-15 /pmc/articles/PMC8205180/ /pubmed/34129612 http://dx.doi.org/10.1371/journal.pone.0253152 Text en © 2021 Flores-Tolentino et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Flores-Tolentino, Mayra Beltrán-Rodríguez, Leonardo Morales-Linares, Jonas Ramírez Rodríguez, J. Rolando Ibarra-Manríquez, Guillermo Dorado, Óscar Villaseñor, José Luis Biogeographic regionalization by spatial and environmental components: Numerical proposal |
title | Biogeographic regionalization by spatial and environmental components: Numerical proposal |
title_full | Biogeographic regionalization by spatial and environmental components: Numerical proposal |
title_fullStr | Biogeographic regionalization by spatial and environmental components: Numerical proposal |
title_full_unstemmed | Biogeographic regionalization by spatial and environmental components: Numerical proposal |
title_short | Biogeographic regionalization by spatial and environmental components: Numerical proposal |
title_sort | biogeographic regionalization by spatial and environmental components: numerical proposal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205180/ https://www.ncbi.nlm.nih.gov/pubmed/34129612 http://dx.doi.org/10.1371/journal.pone.0253152 |
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