Major drivers of invasion risks throughout the world

被引:122
作者
Bellard, C. [1 ]
Leroy, B. [1 ,2 ,3 ,4 ]
Thuiller, W. [5 ,6 ]
Rysman, J. -F. [7 ,8 ]
Courchamp, F. [1 ]
机构
[1] Univ Paris Saclay, Ecol Systemat Evolut, Univ Paris 11, CNRS,AgroParisTech, F-91400 Orsay, France
[2] Univ Rennes 1, EA Biodivers & Gest Terr 7316, Campus Beaulieu, F-35042 Rennes, France
[3] MNHN, Serv Patrimoine Nat, Paris, France
[4] Univ Paris 06, Sorbonne Univ,CNRS, Univ Caen Basse Normandie,Museum Nat Hist Nat,IRD, Unite Biol Organismes & Ecosyst Aquat,BOREA,UMR 7, Paris, France
[5] Univ Grenoble Alpes, Lab Ecol Alpine LECA, F-38000 Grenoble, France
[6] CNRS, Lab Ecol Alpine LECA, F-38000 Grenoble, France
[7] Ecole Polytech, Meteorol Dynam Lab, IPSL CNRS, Palaiseau, France
[8] Zool Soc London, Inst Zool, Regents Pk, London NW1 4RI, England
基金
欧洲研究理事会;
关键词
invasive species; socioeconomic; spatial risk; BIOLOGICAL INVASIONS; SPECIES DISTRIBUTIONS; BIOTIC INTERACTIONS; PLANT INVASIONS; CLIMATE-CHANGE; CONSERVATION; BIODIVERSITY; EUROPE; PERFORMANCE; PREDICTION;
D O I
10.1002/ecs2.1241
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 70 条
[31]   Very high resolution interpolated climate surfaces for global land areas [J].
Hijmans, RJ ;
Cameron, SE ;
Parra, JL ;
Jones, PG ;
Jarvis, A .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2005, 25 (15) :1965-1978
[32]   Will Threat of Biological Invasions Unite the European Union? [J].
Hulme, Philip E. ;
Pysek, Petr ;
Nentwig, Wolfgang ;
Vila, Montserrat .
SCIENCE, 2009, 324 (5923) :40-41
[33]   Trade, transport and trouble: managing invasive species pathways in an era of globalization [J].
Hulme, Philip E. .
JOURNAL OF APPLIED ECOLOGY, 2009, 46 (01) :10-18
[34]  
Jeschke J. M., 2014, DIVERS DISTRIB, V20, P1241
[35]   Invasion success of vertebrates in Europe and North America [J].
Jeschke, JM ;
Strayer, DL .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (20) :7198-7202
[36]   Threshold criteria for conversion of probability of species presence to either-or presence-absence [J].
Jimenez-Valverde, Alberto ;
Lobo, Jorge M. .
ACTA OECOLOGICA-INTERNATIONAL JOURNAL OF ECOLOGY, 2007, 31 (03) :361-369
[37]   Biodiversity as a barrier to ecological invasion [J].
Kennedy, TA ;
Naeem, S ;
Howe, KM ;
Knops, JMH ;
Tilman, D ;
Reich, P .
NATURE, 2002, 417 (6889) :636-638
[38]   Do ecological differences between taxonomic groups influence the relationship between species' distributions and climate? A global meta-analysis using species distribution models [J].
Kharouba, Heather M. ;
McCune, Jenny L. ;
Thuiller, Wilfried ;
Huntley, Brian .
ECOGRAPHY, 2013, 36 (06) :657-664
[39]   Testing the performance of a Dynamic Global Ecosystem Model: Water balance, carbon balance, and vegetation structure [J].
Kucharik, CJ ;
Foley, JA ;
Delire, C ;
Fisher, VA ;
Coe, MT ;
Lenters, JD ;
Young-Molling, C ;
Ramankutty, N ;
Norman, JM ;
Gower, ST .
GLOBAL BIOGEOCHEMICAL CYCLES, 2000, 14 (03) :795-825
[40]   Treatment of uncertainty in conservation under climate change [J].
Kujala, Heini ;
Burgman, Mark A. ;
Moilanen, Atte .
CONSERVATION LETTERS, 2013, 6 (02) :73-85