Major drivers of invasion risks throughout the world

Abstract In this paper, we investigate how climate, land use, habitat characteristics, and socioeconomic activities contribute to predict the current potential distributions of the “100 among the world's worst invasive alien species”. We calculated the predictive power of each of the 41 variabl...

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Main Authors: C. Bellard, B. Leroy, W. Thuiller, J.‐F. Rysman, F. Courchamp
Format: Article
Language:English
Published: Wiley 2016-03-01
Series:Ecosphere
Subjects:
Online Access:https://doi.org/10.1002/ecs2.1241
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spelling doaj-5f0cc0b458fe4f22ace362c791e453a22020-11-25T00:04:56ZengWileyEcosphere2150-89252016-03-0173n/an/a10.1002/ecs2.1241Major drivers of invasion risks throughout the worldC. Bellard0B. Leroy1W. Thuiller2J.‐F. Rysman3F. Courchamp4Ecologie Systématique Evolution Univ. Paris‐Sud, CNRS, AgroParisTech Université Paris‐Saclay 91400 Orsay FranceEcologie Systématique Evolution Univ. Paris‐Sud, CNRS, AgroParisTech Université Paris‐Saclay 91400 Orsay FranceLaboratoire d’Écologie Alpine (LECA) Université Grenoble Alpes F‐38000 Grenoble FranceLaboratoire de Météorologie Dynamique (IPSL/CNRS) Ecole Polytechnique Palaiseau FranceEcologie Systématique Evolution Univ. Paris‐Sud, CNRS, AgroParisTech Université Paris‐Saclay 91400 Orsay FranceAbstract In this paper, we investigate how climate, land use, habitat characteristics, and socioeconomic activities contribute to predict the current potential distributions of the “100 among the world's worst invasive alien species”. We calculated the predictive power of each of the 41 variables for the 95 species including a large number of plants, vertebrates and invertebrates. We then calibrated the species distribution models with a set of appropriate variables for each invasive alien species to predict the potential distribution of these species and identify the major regions of origin of the invasive alien species. We found that climate variables were primarily predictors of the distribution of the global invaders studied. In addition, the habitat characteristics were also important predictors following by the socioeconomic variables such as the nearest distance to airports, seaports and human population density. We show that the potential areas at the highest risk of invasions from these species are located in Western Europe, Eastern United States, Central America, the eastern coast of Australia, and some Indonesian islands. We argue that these potential hotspots of invasions should be monitored in priority to prevent new invasions from these species. This study provides evidence of the importance of considering both habitat characteristics, socioeconomic and climate change factors for the current and future predictions of biological invasions.https://doi.org/10.1002/ecs2.1241invasive speciessocioeconomicspatial risk
collection DOAJ
language English
format Article
sources DOAJ
author C. Bellard
B. Leroy
W. Thuiller
J.‐F. Rysman
F. Courchamp
spellingShingle C. Bellard
B. Leroy
W. Thuiller
J.‐F. Rysman
F. Courchamp
Major drivers of invasion risks throughout the world
Ecosphere
invasive species
socioeconomic
spatial risk
author_facet C. Bellard
B. Leroy
W. Thuiller
J.‐F. Rysman
F. Courchamp
author_sort C. Bellard
title Major drivers of invasion risks throughout the world
title_short Major drivers of invasion risks throughout the world
title_full Major drivers of invasion risks throughout the world
title_fullStr Major drivers of invasion risks throughout the world
title_full_unstemmed Major drivers of invasion risks throughout the world
title_sort major drivers of invasion risks throughout the world
publisher Wiley
series Ecosphere
issn 2150-8925
publishDate 2016-03-01
description Abstract In this paper, we investigate how climate, land use, habitat characteristics, and socioeconomic activities contribute to predict the current potential distributions of the “100 among the world's worst invasive alien species”. We calculated the predictive power of each of the 41 variables for the 95 species including a large number of plants, vertebrates and invertebrates. We then calibrated the species distribution models with a set of appropriate variables for each invasive alien species to predict the potential distribution of these species and identify the major regions of origin of the invasive alien species. We found that climate variables were primarily predictors of the distribution of the global invaders studied. In addition, the habitat characteristics were also important predictors following by the socioeconomic variables such as the nearest distance to airports, seaports and human population density. We show that the potential areas at the highest risk of invasions from these species are located in Western Europe, Eastern United States, Central America, the eastern coast of Australia, and some Indonesian islands. We argue that these potential hotspots of invasions should be monitored in priority to prevent new invasions from these species. This study provides evidence of the importance of considering both habitat characteristics, socioeconomic and climate change factors for the current and future predictions of biological invasions.
topic invasive species
socioeconomic
spatial risk
url https://doi.org/10.1002/ecs2.1241
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