The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion
- Autores
- Vogler, Roberto Eugenio; Beltramino, Ariel Aníbal; Sede, Mariano Miguel; Gutiérrez Gregoric, Diego Eduardo; Núñez, María Verónica; Rumi Macchi Zubiaurre, Alejandra
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The best way to reduce problems related to invasive species is by preventing introductions into potentially susceptible areas. The purpose of this study was to create distribution models for the invasive gastropod Achatina fulica Bowdich, 1822 in South America in order to evaluate its potential geographic distribution and identify areas at potential risk. This mollusc, considered one of the 100 world's worst invasive alien species, is the focus of intense concern due to its impact on agriculture, human health, and native fauna. We tested two commonly used ecological niche modeling methods: Genetic Algorithm for Rule-Set Prediction (GARP) and Maximum Entropy (MaxEnt). Models were run with occurrence points obtained from several sources, including the scientific literature, international databases, governmental reports and newspapers, WorldClim bioclimatic variables, and altitude. Models were evaluated with the threshold-independent Receiver Operating Characteristic (ROC) and Area Under the Curve (AUC). Both models had consistent performances with similar areas predicted as susceptible, including areas already affected and new potentially susceptible areas in both tropical and temperate regions of South America.
Facultad de Ciencias Naturales y Museo - Materia
-
Ciencias Naturales
Land mollusc
Bioinvasion
Distribution
Garp
Maxent - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/102616
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The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasionVogler, Roberto EugenioBeltramino, Ariel AníbalSede, Mariano MiguelGutiérrez Gregoric, Diego EduardoNúñez, María VerónicaRumi Macchi Zubiaurre, AlejandraCiencias NaturalesLand molluscBioinvasionDistributionGarpMaxentThe best way to reduce problems related to invasive species is by preventing introductions into potentially susceptible areas. The purpose of this study was to create distribution models for the invasive gastropod Achatina fulica Bowdich, 1822 in South America in order to evaluate its potential geographic distribution and identify areas at potential risk. This mollusc, considered one of the 100 world's worst invasive alien species, is the focus of intense concern due to its impact on agriculture, human health, and native fauna. We tested two commonly used ecological niche modeling methods: Genetic Algorithm for Rule-Set Prediction (GARP) and Maximum Entropy (MaxEnt). Models were run with occurrence points obtained from several sources, including the scientific literature, international databases, governmental reports and newspapers, WorldClim bioclimatic variables, and altitude. Models were evaluated with the threshold-independent Receiver Operating Characteristic (ROC) and Area Under the Curve (AUC). Both models had consistent performances with similar areas predicted as susceptible, including areas already affected and new potentially susceptible areas in both tropical and temperate regions of South America.Facultad de Ciencias Naturales y Museo2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf39-50http://sedici.unlp.edu.ar/handle/10915/102616enginfo:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/16743info:eu-repo/semantics/altIdentifier/issn/0740-2783info:eu-repo/semantics/altIdentifier/doi/10.4003/006.031.0115info:eu-repo/semantics/altIdentifier/hdl/11336/16743info: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)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-17T10:03:40Zoai:sedici.unlp.edu.ar:10915/102616Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-17 10:03:40.966SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion |
title |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion |
spellingShingle |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion Vogler, Roberto Eugenio Ciencias Naturales Land mollusc Bioinvasion Distribution Garp Maxent |
title_short |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion |
title_full |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion |
title_fullStr |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion |
title_full_unstemmed |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion |
title_sort |
The giant African snail, <i>Achatina fulica</i> (Gastropoda: Achatinidae): Using bioclimatic models to identify South American areas susceptible to invasion |
dc.creator.none.fl_str_mv |
Vogler, Roberto Eugenio Beltramino, Ariel Aníbal Sede, Mariano Miguel Gutiérrez Gregoric, Diego Eduardo Núñez, María Verónica Rumi Macchi Zubiaurre, Alejandra |
author |
Vogler, Roberto Eugenio |
author_facet |
Vogler, Roberto Eugenio Beltramino, Ariel Aníbal Sede, Mariano Miguel Gutiérrez Gregoric, Diego Eduardo Núñez, María Verónica Rumi Macchi Zubiaurre, Alejandra |
author_role |
author |
author2 |
Beltramino, Ariel Aníbal Sede, Mariano Miguel Gutiérrez Gregoric, Diego Eduardo Núñez, María Verónica Rumi Macchi Zubiaurre, Alejandra |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Ciencias Naturales Land mollusc Bioinvasion Distribution Garp Maxent |
topic |
Ciencias Naturales Land mollusc Bioinvasion Distribution Garp Maxent |
dc.description.none.fl_txt_mv |
The best way to reduce problems related to invasive species is by preventing introductions into potentially susceptible areas. The purpose of this study was to create distribution models for the invasive gastropod Achatina fulica Bowdich, 1822 in South America in order to evaluate its potential geographic distribution and identify areas at potential risk. This mollusc, considered one of the 100 world's worst invasive alien species, is the focus of intense concern due to its impact on agriculture, human health, and native fauna. We tested two commonly used ecological niche modeling methods: Genetic Algorithm for Rule-Set Prediction (GARP) and Maximum Entropy (MaxEnt). Models were run with occurrence points obtained from several sources, including the scientific literature, international databases, governmental reports and newspapers, WorldClim bioclimatic variables, and altitude. Models were evaluated with the threshold-independent Receiver Operating Characteristic (ROC) and Area Under the Curve (AUC). Both models had consistent performances with similar areas predicted as susceptible, including areas already affected and new potentially susceptible areas in both tropical and temperate regions of South America. Facultad de Ciencias Naturales y Museo |
description |
The best way to reduce problems related to invasive species is by preventing introductions into potentially susceptible areas. The purpose of this study was to create distribution models for the invasive gastropod Achatina fulica Bowdich, 1822 in South America in order to evaluate its potential geographic distribution and identify areas at potential risk. This mollusc, considered one of the 100 world's worst invasive alien species, is the focus of intense concern due to its impact on agriculture, human health, and native fauna. We tested two commonly used ecological niche modeling methods: Genetic Algorithm for Rule-Set Prediction (GARP) and Maximum Entropy (MaxEnt). Models were run with occurrence points obtained from several sources, including the scientific literature, international databases, governmental reports and newspapers, WorldClim bioclimatic variables, and altitude. Models were evaluated with the threshold-independent Receiver Operating Characteristic (ROC) and Area Under the Curve (AUC). Both models had consistent performances with similar areas predicted as susceptible, including areas already affected and new potentially susceptible areas in both tropical and temperate regions of South America. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-02 |
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 |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/102616 |
url |
http://sedici.unlp.edu.ar/handle/10915/102616 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/16743 info:eu-repo/semantics/altIdentifier/issn/0740-2783 info:eu-repo/semantics/altIdentifier/doi/10.4003/006.031.0115 info:eu-repo/semantics/altIdentifier/hdl/11336/16743 |
dc.rights.none.fl_str_mv |
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) |
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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 39-50 |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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