Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots

Autores
Montti, Lia Fernanda; Velazco, Santiago José Elías; Travis, Justin M. J.; Grau, Hector Ricardo
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. This impact can be particularly acute in biodiversity hotspots. Ligustrum lucidum W.T. Aiton is a tree species native of China that, from as early as the eighteenth century, has been introduced broadly around the globe, becoming a serious invasive species. We aim to predict L. lucidum's current and future potential distributions at a global scale and assess the degree to which biodiversity hotspots are at risk of invasion. Location: All continents. Methods: Using global presence data, climatic and edaphic variables, we developed an ensemble model to predict current and future periods (2050 and 2080) global distribution of L. lucidum. Susceptible countries and hotspots of biodiversity were identified. Results: Important regions within China and neighbouring countries are likely to be environmentally suitable, but they are not currently occupied. Biodiversity hotspots in South America are highlighted as being at current risk of invasion. Notably, climate change may increase risks across large extents of biodiversity hotspots, mainly in South America and Africa, especially by 2080 period. Main conclusions: Current and future potential distribution of L. lucidum overlaps with biodiversity hotspots worldwide. Control of L. lucidum is a challenge once established. Thus, species distribution modelling helps to identify risk areas, guiding their early detection in current or future suitable areas. Our findings can be useful as a guide to develop region-specific invasion management strategies to prevent and/or control this species' spread.
Fil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Geología de Costas y del Cuaternario. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Geología de Costas y del Cuaternario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Velazco, Santiago José Elías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina
Fil: Travis, Justin M. J.. University Of Aberdeen. School Of Biological Sciences.; Reino Unido
Fil: Grau, Hector Ricardo. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Materia
BIODIVERSITY THREAT
BIOLOGICAL INVASION
ECOLOGICAL FORECAST
ENSEMBLE MODELS
GLOSSY PRIVET
SPECIES DISTRIBUTION MODELS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/167981
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspotsMontti, Lia FernandaVelazco, Santiago José ElíasTravis, Justin M. J.Grau, Hector RicardoBIODIVERSITY THREATBIOLOGICAL INVASIONECOLOGICAL FORECASTENSEMBLE MODELSGLOSSY PRIVETSPECIES DISTRIBUTION MODELShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Aim: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. This impact can be particularly acute in biodiversity hotspots. Ligustrum lucidum W.T. Aiton is a tree species native of China that, from as early as the eighteenth century, has been introduced broadly around the globe, becoming a serious invasive species. We aim to predict L. lucidum's current and future potential distributions at a global scale and assess the degree to which biodiversity hotspots are at risk of invasion. Location: All continents. Methods: Using global presence data, climatic and edaphic variables, we developed an ensemble model to predict current and future periods (2050 and 2080) global distribution of L. lucidum. Susceptible countries and hotspots of biodiversity were identified. Results: Important regions within China and neighbouring countries are likely to be environmentally suitable, but they are not currently occupied. Biodiversity hotspots in South America are highlighted as being at current risk of invasion. Notably, climate change may increase risks across large extents of biodiversity hotspots, mainly in South America and Africa, especially by 2080 period. Main conclusions: Current and future potential distribution of L. lucidum overlaps with biodiversity hotspots worldwide. Control of L. lucidum is a challenge once established. Thus, species distribution modelling helps to identify risk areas, guiding their early detection in current or future suitable areas. Our findings can be useful as a guide to develop region-specific invasion management strategies to prevent and/or control this species' spread.Fil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Geología de Costas y del Cuaternario. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Geología de Costas y del Cuaternario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; ArgentinaFil: Velazco, Santiago José Elías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Travis, Justin M. J.. University Of Aberdeen. School Of Biological Sciences.; Reino UnidoFil: Grau, Hector Ricardo. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; ArgentinaWiley Blackwell Publishing, Inc2021-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/167981Montti, Lia Fernanda; Velazco, Santiago José Elías; Travis, Justin M. J.; Grau, Hector Ricardo; Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 27; 8; 6-2021; 1568-15831366-9516CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/ddi.13303info:eu-repo/semantics/altIdentifier/doi/10.1111/ddi.13303info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:47:15Zoai:ri.conicet.gov.ar:11336/167981instacron: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:34982025-09-29 09:47:15.777CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
title Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
spellingShingle Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
Montti, Lia Fernanda
BIODIVERSITY THREAT
BIOLOGICAL INVASION
ECOLOGICAL FORECAST
ENSEMBLE MODELS
GLOSSY PRIVET
SPECIES DISTRIBUTION MODELS
title_short Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
title_full Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
title_fullStr Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
title_full_unstemmed Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
title_sort Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
dc.creator.none.fl_str_mv Montti, Lia Fernanda
Velazco, Santiago José Elías
Travis, Justin M. J.
Grau, Hector Ricardo
author Montti, Lia Fernanda
author_facet Montti, Lia Fernanda
Velazco, Santiago José Elías
Travis, Justin M. J.
Grau, Hector Ricardo
author_role author
author2 Velazco, Santiago José Elías
Travis, Justin M. J.
Grau, Hector Ricardo
author2_role author
author
author
dc.subject.none.fl_str_mv BIODIVERSITY THREAT
BIOLOGICAL INVASION
ECOLOGICAL FORECAST
ENSEMBLE MODELS
GLOSSY PRIVET
SPECIES DISTRIBUTION MODELS
topic BIODIVERSITY THREAT
BIOLOGICAL INVASION
ECOLOGICAL FORECAST
ENSEMBLE MODELS
GLOSSY PRIVET
SPECIES DISTRIBUTION MODELS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Aim: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. This impact can be particularly acute in biodiversity hotspots. Ligustrum lucidum W.T. Aiton is a tree species native of China that, from as early as the eighteenth century, has been introduced broadly around the globe, becoming a serious invasive species. We aim to predict L. lucidum's current and future potential distributions at a global scale and assess the degree to which biodiversity hotspots are at risk of invasion. Location: All continents. Methods: Using global presence data, climatic and edaphic variables, we developed an ensemble model to predict current and future periods (2050 and 2080) global distribution of L. lucidum. Susceptible countries and hotspots of biodiversity were identified. Results: Important regions within China and neighbouring countries are likely to be environmentally suitable, but they are not currently occupied. Biodiversity hotspots in South America are highlighted as being at current risk of invasion. Notably, climate change may increase risks across large extents of biodiversity hotspots, mainly in South America and Africa, especially by 2080 period. Main conclusions: Current and future potential distribution of L. lucidum overlaps with biodiversity hotspots worldwide. Control of L. lucidum is a challenge once established. Thus, species distribution modelling helps to identify risk areas, guiding their early detection in current or future suitable areas. Our findings can be useful as a guide to develop region-specific invasion management strategies to prevent and/or control this species' spread.
Fil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Geología de Costas y del Cuaternario. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Geología de Costas y del Cuaternario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Velazco, Santiago José Elías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina
Fil: Travis, Justin M. J.. University Of Aberdeen. School Of Biological Sciences.; Reino Unido
Fil: Grau, Hector Ricardo. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
description Aim: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. This impact can be particularly acute in biodiversity hotspots. Ligustrum lucidum W.T. Aiton is a tree species native of China that, from as early as the eighteenth century, has been introduced broadly around the globe, becoming a serious invasive species. We aim to predict L. lucidum's current and future potential distributions at a global scale and assess the degree to which biodiversity hotspots are at risk of invasion. Location: All continents. Methods: Using global presence data, climatic and edaphic variables, we developed an ensemble model to predict current and future periods (2050 and 2080) global distribution of L. lucidum. Susceptible countries and hotspots of biodiversity were identified. Results: Important regions within China and neighbouring countries are likely to be environmentally suitable, but they are not currently occupied. Biodiversity hotspots in South America are highlighted as being at current risk of invasion. Notably, climate change may increase risks across large extents of biodiversity hotspots, mainly in South America and Africa, especially by 2080 period. Main conclusions: Current and future potential distribution of L. lucidum overlaps with biodiversity hotspots worldwide. Control of L. lucidum is a challenge once established. Thus, species distribution modelling helps to identify risk areas, guiding their early detection in current or future suitable areas. Our findings can be useful as a guide to develop region-specific invasion management strategies to prevent and/or control this species' spread.
publishDate 2021
dc.date.none.fl_str_mv 2021-06
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/11336/167981
Montti, Lia Fernanda; Velazco, Santiago José Elías; Travis, Justin M. J.; Grau, Hector Ricardo; Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 27; 8; 6-2021; 1568-1583
1366-9516
CONICET Digital
CONICET
url http://hdl.handle.net/11336/167981
identifier_str_mv Montti, Lia Fernanda; Velazco, Santiago José Elías; Travis, Justin M. J.; Grau, Hector Ricardo; Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 27; 8; 6-2021; 1568-1583
1366-9516
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://onlinelibrary.wiley.com/doi/10.1111/ddi.13303
info:eu-repo/semantics/altIdentifier/doi/10.1111/ddi.13303
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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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score 13.070432

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