Modeling invasive species risk from established populations: Insights for management and conservation

Autores
Cordier, Javier Maximiliano; Loyola, Rafael; Rojas-Soto, Octavio; Nori, Javier
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Ecologists commonly use ecological niche models (ENMs) to undertake invasive species risk assessments; however, knowledge shortfalls introduce bias in these models and increase uncertainty while addressing questions in biogeography. Therefore, our objective was to investigate how the lack of information related to population viability impairs invasive species risk assessments. We built ENMs for the invasive slider turtle (Trachemys scripta) and compared the native and invaded portions of its niches. Both analyses were generated based on two approaches: a conservative one, which excluded occurrence records where the establishment of invasive populations was not confirmed; and a non-conservative one, which encompassed all occurrence records. Under the conservative approach, the niche similarity test revealed that the similitude between native and invasive populations was not different than the expected by chance. Conversely, under the non-conservative approach, the test revealed that native and invasive populations use a similar ecological niche, despite that the occupied portion of the species’ niche during the invasion was quite larger than the native one. In fact, non-conservative models projected wider areas with high risk of invasion that were not detected by the conservative approach. While models’ outcomes were markedly different, both provide valuable information in terms of evolution and conservation. We found that information about population viability is really valuable and should be incorporated in risk assessment, invasive records without this information should not be discarded under any point of view. Finally, we discussed the best way to consider this kind of information to assess the management of invasive species.
Fil: Cordier, Javier Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Loyola, Rafael. Universidade Federal de Goiás; Brasil
Fil: Rojas-Soto, Octavio. Instituto de Ecología, A.C. Red de Biología Evolutiva; México
Fil: Nori, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Materia
ECOLOGICAL NICHE MODELS
INVASIVE POTENTIAL
POPULATION ESTABLISHMENT
RISK ASSESSMENT
SLIDER TURTLE
TRACHEMYS SCRIPTA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/140944

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network_name_str CONICET Digital (CONICET)
spelling Modeling invasive species risk from established populations: Insights for management and conservationCordier, Javier MaximilianoLoyola, RafaelRojas-Soto, OctavioNori, JavierECOLOGICAL NICHE MODELSINVASIVE POTENTIALPOPULATION ESTABLISHMENTRISK ASSESSMENTSLIDER TURTLETRACHEMYS SCRIPTAhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Ecologists commonly use ecological niche models (ENMs) to undertake invasive species risk assessments; however, knowledge shortfalls introduce bias in these models and increase uncertainty while addressing questions in biogeography. Therefore, our objective was to investigate how the lack of information related to population viability impairs invasive species risk assessments. We built ENMs for the invasive slider turtle (Trachemys scripta) and compared the native and invaded portions of its niches. Both analyses were generated based on two approaches: a conservative one, which excluded occurrence records where the establishment of invasive populations was not confirmed; and a non-conservative one, which encompassed all occurrence records. Under the conservative approach, the niche similarity test revealed that the similitude between native and invasive populations was not different than the expected by chance. Conversely, under the non-conservative approach, the test revealed that native and invasive populations use a similar ecological niche, despite that the occupied portion of the species’ niche during the invasion was quite larger than the native one. In fact, non-conservative models projected wider areas with high risk of invasion that were not detected by the conservative approach. While models’ outcomes were markedly different, both provide valuable information in terms of evolution and conservation. We found that information about population viability is really valuable and should be incorporated in risk assessment, invasive records without this information should not be discarded under any point of view. Finally, we discussed the best way to consider this kind of information to assess the management of invasive species.Fil: Cordier, Javier Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Loyola, Rafael. Universidade Federal de Goiás; BrasilFil: Rojas-Soto, Octavio. Instituto de Ecología, A.C. Red de Biología Evolutiva; MéxicoFil: Nori, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaAssociacao Brasileira de Ciencia Ecologica e Conservacao2020-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/140944Cordier, Javier Maximiliano; Loyola, Rafael; Rojas-Soto, Octavio; Nori, Javier; Modeling invasive species risk from established populations: Insights for management and conservation; Associacao Brasileira de Ciencia Ecologica e Conservacao; Perspectives in Ecology and Conservation; 18; 2; 4-2020; 132-1382530-0644CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2530064420300250info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pecon.2020.06.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:02:26Zoai:ri.conicet.gov.ar:11336/140944instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:02:26.359CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeling invasive species risk from established populations: Insights for management and conservation
title Modeling invasive species risk from established populations: Insights for management and conservation
spellingShingle Modeling invasive species risk from established populations: Insights for management and conservation
Cordier, Javier Maximiliano
ECOLOGICAL NICHE MODELS
INVASIVE POTENTIAL
POPULATION ESTABLISHMENT
RISK ASSESSMENT
SLIDER TURTLE
TRACHEMYS SCRIPTA
title_short Modeling invasive species risk from established populations: Insights for management and conservation
title_full Modeling invasive species risk from established populations: Insights for management and conservation
title_fullStr Modeling invasive species risk from established populations: Insights for management and conservation
title_full_unstemmed Modeling invasive species risk from established populations: Insights for management and conservation
title_sort Modeling invasive species risk from established populations: Insights for management and conservation
dc.creator.none.fl_str_mv Cordier, Javier Maximiliano
Loyola, Rafael
Rojas-Soto, Octavio
Nori, Javier
author Cordier, Javier Maximiliano
author_facet Cordier, Javier Maximiliano
Loyola, Rafael
Rojas-Soto, Octavio
Nori, Javier
author_role author
author2 Loyola, Rafael
Rojas-Soto, Octavio
Nori, Javier
author2_role author
author
author
dc.subject.none.fl_str_mv ECOLOGICAL NICHE MODELS
INVASIVE POTENTIAL
POPULATION ESTABLISHMENT
RISK ASSESSMENT
SLIDER TURTLE
TRACHEMYS SCRIPTA
topic ECOLOGICAL NICHE MODELS
INVASIVE POTENTIAL
POPULATION ESTABLISHMENT
RISK ASSESSMENT
SLIDER TURTLE
TRACHEMYS SCRIPTA
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Ecologists commonly use ecological niche models (ENMs) to undertake invasive species risk assessments; however, knowledge shortfalls introduce bias in these models and increase uncertainty while addressing questions in biogeography. Therefore, our objective was to investigate how the lack of information related to population viability impairs invasive species risk assessments. We built ENMs for the invasive slider turtle (Trachemys scripta) and compared the native and invaded portions of its niches. Both analyses were generated based on two approaches: a conservative one, which excluded occurrence records where the establishment of invasive populations was not confirmed; and a non-conservative one, which encompassed all occurrence records. Under the conservative approach, the niche similarity test revealed that the similitude between native and invasive populations was not different than the expected by chance. Conversely, under the non-conservative approach, the test revealed that native and invasive populations use a similar ecological niche, despite that the occupied portion of the species’ niche during the invasion was quite larger than the native one. In fact, non-conservative models projected wider areas with high risk of invasion that were not detected by the conservative approach. While models’ outcomes were markedly different, both provide valuable information in terms of evolution and conservation. We found that information about population viability is really valuable and should be incorporated in risk assessment, invasive records without this information should not be discarded under any point of view. Finally, we discussed the best way to consider this kind of information to assess the management of invasive species.
Fil: Cordier, Javier Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Loyola, Rafael. Universidade Federal de Goiás; Brasil
Fil: Rojas-Soto, Octavio. Instituto de Ecología, A.C. Red de Biología Evolutiva; México
Fil: Nori, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
description Ecologists commonly use ecological niche models (ENMs) to undertake invasive species risk assessments; however, knowledge shortfalls introduce bias in these models and increase uncertainty while addressing questions in biogeography. Therefore, our objective was to investigate how the lack of information related to population viability impairs invasive species risk assessments. We built ENMs for the invasive slider turtle (Trachemys scripta) and compared the native and invaded portions of its niches. Both analyses were generated based on two approaches: a conservative one, which excluded occurrence records where the establishment of invasive populations was not confirmed; and a non-conservative one, which encompassed all occurrence records. Under the conservative approach, the niche similarity test revealed that the similitude between native and invasive populations was not different than the expected by chance. Conversely, under the non-conservative approach, the test revealed that native and invasive populations use a similar ecological niche, despite that the occupied portion of the species’ niche during the invasion was quite larger than the native one. In fact, non-conservative models projected wider areas with high risk of invasion that were not detected by the conservative approach. While models’ outcomes were markedly different, both provide valuable information in terms of evolution and conservation. We found that information about population viability is really valuable and should be incorporated in risk assessment, invasive records without this information should not be discarded under any point of view. Finally, we discussed the best way to consider this kind of information to assess the management of invasive species.
publishDate 2020
dc.date.none.fl_str_mv 2020-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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://hdl.handle.net/11336/140944
Cordier, Javier Maximiliano; Loyola, Rafael; Rojas-Soto, Octavio; Nori, Javier; Modeling invasive species risk from established populations: Insights for management and conservation; Associacao Brasileira de Ciencia Ecologica e Conservacao; Perspectives in Ecology and Conservation; 18; 2; 4-2020; 132-138
2530-0644
CONICET Digital
CONICET
url http://hdl.handle.net/11336/140944
identifier_str_mv Cordier, Javier Maximiliano; Loyola, Rafael; Rojas-Soto, Octavio; Nori, Javier; Modeling invasive species risk from established populations: Insights for management and conservation; Associacao Brasileira de Ciencia Ecologica e Conservacao; Perspectives in Ecology and Conservation; 18; 2; 4-2020; 132-138
2530-0644
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2530064420300250
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pecon.2020.06.001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Associacao Brasileira de Ciencia Ecologica e Conservacao
publisher.none.fl_str_mv Associacao Brasileira de Ciencia Ecologica e Conservacao
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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