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Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions

BACKGROUND: Biological invasions rank among the most significant threats to biodiversity and ecosystems. Correlative ecological niche modeling is among the most frequently used tools with which to estimate potential distributions of invasive species. However, when areas accessible to the species acr...

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Autores principales: Castaño-Quintero, Sandra, Escobar-Luján, Jazmín, Osorio-Olvera, Luis, Peterson, A Townsend, Chiappa-Carrara, Xavier, Martínez-Meyer, Enrique, Yañez-Arenas, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761189/
https://www.ncbi.nlm.nih.gov/pubmed/33391868
http://dx.doi.org/10.7717/peerj.10454
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author Castaño-Quintero, Sandra
Escobar-Luján, Jazmín
Osorio-Olvera, Luis
Peterson, A Townsend
Chiappa-Carrara, Xavier
Martínez-Meyer, Enrique
Yañez-Arenas, Carlos
author_facet Castaño-Quintero, Sandra
Escobar-Luján, Jazmín
Osorio-Olvera, Luis
Peterson, A Townsend
Chiappa-Carrara, Xavier
Martínez-Meyer, Enrique
Yañez-Arenas, Carlos
author_sort Castaño-Quintero, Sandra
collection PubMed
description BACKGROUND: Biological invasions rank among the most significant threats to biodiversity and ecosystems. Correlative ecological niche modeling is among the most frequently used tools with which to estimate potential distributions of invasive species. However, when areas accessible to the species across its native distribution do not represent the full spectrum of environmental conditions that the species can tolerate, correlative studies often underestimate fundamental niches. METHODS: Here, we explore the utility of supraspecific modeling units to improve the predictive ability of models focused on biological invasions. Taking into account phylogenetic relationships in correlative ecological niche models, we studied the invasion patterns of three species (Aedes aegypti, Pterois volitans and Oreochromis mossambicus). RESULTS: Use of supraspecific modeling units improved the predictive ability of correlative niche models in anticipating potential distributions of three invasive species. We demonstrated that integrating data on closely related species allowed a more complete characterization of fundamental niches. This approach could be used to model species with invasive potential but that have not yet invaded new regions.
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spelling pubmed-77611892020-12-31 Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions Castaño-Quintero, Sandra Escobar-Luján, Jazmín Osorio-Olvera, Luis Peterson, A Townsend Chiappa-Carrara, Xavier Martínez-Meyer, Enrique Yañez-Arenas, Carlos PeerJ Ecology BACKGROUND: Biological invasions rank among the most significant threats to biodiversity and ecosystems. Correlative ecological niche modeling is among the most frequently used tools with which to estimate potential distributions of invasive species. However, when areas accessible to the species across its native distribution do not represent the full spectrum of environmental conditions that the species can tolerate, correlative studies often underestimate fundamental niches. METHODS: Here, we explore the utility of supraspecific modeling units to improve the predictive ability of models focused on biological invasions. Taking into account phylogenetic relationships in correlative ecological niche models, we studied the invasion patterns of three species (Aedes aegypti, Pterois volitans and Oreochromis mossambicus). RESULTS: Use of supraspecific modeling units improved the predictive ability of correlative niche models in anticipating potential distributions of three invasive species. We demonstrated that integrating data on closely related species allowed a more complete characterization of fundamental niches. This approach could be used to model species with invasive potential but that have not yet invaded new regions. PeerJ Inc. 2020-12-22 /pmc/articles/PMC7761189/ /pubmed/33391868 http://dx.doi.org/10.7717/peerj.10454 Text en © 2020 Castaño-Quintero 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecology
Castaño-Quintero, Sandra
Escobar-Luján, Jazmín
Osorio-Olvera, Luis
Peterson, A Townsend
Chiappa-Carrara, Xavier
Martínez-Meyer, Enrique
Yañez-Arenas, Carlos
Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions
title Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions
title_full Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions
title_fullStr Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions
title_full_unstemmed Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions
title_short Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions
title_sort supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761189/
https://www.ncbi.nlm.nih.gov/pubmed/33391868
http://dx.doi.org/10.7717/peerj.10454
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