%0 Journal Article %J Methods in Ecology and Evolution %D 2022 %T Analysing economic costs of invasive alien species with the invacost R package %A Leroy, Boris %A Kramer, Andrew M. %A Vaissière, Anne‐Charlotte %A Kourantidou, Melina %A Courchamp, Franck %A Diagne, Christophe %B Methods in Ecology and Evolution %V 13 %P 1930 - 1937 %8 Jan-09-2022 %G eng %U https://doi.org/10.1111/2041-210X.13929 %N 9 %! Methods Ecol Evol %R 10.1111/mee3.v13.910.1111/2041-210X.13929 %0 Journal Article %J Science of The Total Environment %D 2022 %T Geographic and taxonomic trends of rising biological invasion costs %A Haubrock, Phillip J. %A Cuthbert, Ross N. %A Hudgins, Emma J. %A Crystal-Ornelas, Robert %A Kourantidou, Melina %A Moodley, Desika %A Liu, Chunlong %A Turbelin, Anna J. %A Leroy, Boris %A Courchamp, Franck %B Science of The Total Environment %V 817 %P 152948 %8 Jan-04-2022 %G eng %U https://linkinghub.elsevier.com/retrieve/pii/S0048969722000377 %! Science of The Total Environment %R 10.1016/j.scitotenv.2022.152948 %0 Journal Article %J Science of The Total Environment %D 2022 %T Knowledge gaps in economic costs of invasive alien fish worldwide %A Haubrock, Phillip J. %A Bernery, Camille %A Cuthbert, Ross N. %A Liu, Chunlong %A Kourantidou, Melina %A Leroy, Boris %A Turbelin, Anna J. %A Kramer, Andrew M. %A Verbrugge, Laura N.H. %A Diagne, Christophe %A Courchamp, Franck %A Gozlan, Rodolphe E. %B Science of The Total Environment %V 803 %P 149875 %8 Jan-01-2022 %G eng %U https://linkinghub.elsevier.com/retrieve/pii/S0048969721049500 %! Science of The Total Environment %R 10.1016/j.scitotenv.2021.149875 %0 Journal Article %J Biological Invasions %D 2022 %T Managing biological invasions: the cost of inaction %A Ahmed, Danish A. %A Hudgins, Emma J. %A Cuthbert, Ross N. %A Kourantidou, Melina %A Diagne, Christophe %A Haubrock, Phillip J. %A Leung, Brian %A Liu, Chunlong %A Leroy, Boris %A Petrovskii, Sergei %A Beidas, Ayah %A Courchamp, Franck %B Biological Invasions %V 24 %P 1927 - 1946 %8 Jan-07-2022 %G eng %U https://link.springer.com/10.1007/s10530-022-02755-0 %N 7 %! Biol Invasions %R 10.1007/s10530-022-02755-0 %0 Journal Article %J NeoBiota %D 2021 %T Biological invasions in France: Alarming costs and even more alarming knowledge gaps %A Renault, David %A Manfrini, Eléna %A Leroy, Boris %A Diagne, Christophe %A Ballesteros-Mejia, Liliana %A Angulo, Elena %A Courchamp, Franck %B NeoBiota %V 67 %P 191 - 224 %8 May-07-2023 %G eng %U https://neobiota.pensoft.net/article/59134/ %! NB %R 10.3897/neobiota.67.59134 %0 Journal Article %J NeoBiota %D 2021 %T Detailed assessment of the reported economic costs of invasive species in Australia %A Bradshaw, Corey J. A. %A Hoskins, Andrew J. %A Haubrock, Phillip J. %A Cuthbert, Ross N. %A Diagne, Christophe %A Leroy, Boris %A Andrews, Lindell %A Page, Brad %A Cassey, Phill %A Sheppard, Andy W. %A Courchamp, Franck %B NeoBiota %V 67 %P 511 - 550 %8 May-07-2023 %G eng %U https://neobiota.pensoft.net/article/58834/ %! NB %R 10.3897/neobiota.67.5883410.3897/neobiota.67.58834.suppl1 %0 Journal Article %J NeoBiota %D 2021 %T The economic costs of biological invasions in Africa: a growing but neglected threat? %A Diagne, Christophe %A Turbelin, Anna J. %A Moodley, Desika %A Novoa, Ana %A Leroy, Boris %A Angulo, Elena %A Adamjy, Tasnime %A Dia, Cheikh A.K.M. %A Taheri, Ahmed %A Tambo, Justice %A Dobigny, Gauthier %A Courchamp, Franck %B NeoBiota %V 67 %P 11 - 51 %8 May-07-2023 %G eng %U https://neobiota.pensoft.net/article/59132/ %! NB %R 10.3897/neobiota.67.59132 %0 Journal Article %J NeoBiota %D 2021 %T Economic costs of biological invasions within North America %A Crystal-Ornelas, Rob %A Hudgins, Emma J %A Cuthbert, Ross N. %A Haubrock, Phillip J. %A Fantle-Lepczyk, J %A Angulo, Elena %A Kramer, Andrew M. %A Ballesteros-Mejia, Liliana %A Leroy, Boris %A Leung, Brian %A López-López, E %A Diagne, Christophe %A Courchamp, Franck %B NeoBiota %V 67 %P 485-510 %8 07/2021 %G eng %0 Journal Article %J NeoBiota %D 2021 %T Economic costs of invasive alien species across Europe %A Haubrock, Phillip J. %A Turbelin, Anna J. %A Cuthbert, Ross N. %A Novoa, Ana %A Taylor, Nigel G. %A Angulo, Elena %A Ballesteros-Mejia, Liliana %A Bodey, Thomas W. %A Capinha, César %A Diagne, Christophe %A Essl, Franz %A Golivets, Marina %A Kirichenko, Natalia %A Kourantidou, Melina %A Leroy, Boris %A Renault, David %A Verbrugge, Laura %A Courchamp, Franck %B NeoBiota %V 67 %P 153 - 190 %8 May-07-2023 %G eng %U https://neobiota.pensoft.net/article/58196/ %! NB %R 10.3897/neobiota.67.58196 %0 Journal Article %J NeoBiota %D 2021 %T Economic costs of invasive alien species in the Mediterranean basin %A Kourantidou, Melina %A Cuthbert, Ross N. %A Haubrock, Phillip J. %A Novoa, Ana %A Taylor, Nigel G. %A Leroy, Boris %A Capinha, César %A Renault, David %A Angulo, Elena %A Diagne, Christophe %A Courchamp, Franck %B NeoBiota %V 67 %P 427 - 458 %8 May-07-2023 %G eng %U https://neobiota.pensoft.net/article/58926/ %! NB %R 10.3897/neobiota.67.5892610.3897/neobiota.67.58926.suppl110.3897/neobiota.67.58926.suppl2 %0 Journal Article %J Nature %D 2021 %T High and rising economic costs of biological invasions worldwide %A Diagne, Christophe %A Leroy, Boris %A Vaissière, Anne-Charlotte %A Gozlan, Rodolphe E. %A Roiz, David %A Jarić, Ivan %A Salles, Jean-Michel %A Bradshaw, Corey J. A. %A Courchamp, Franck %B Nature %V 592 %P 571 - 576 %8 Oct-04-2022 %G eng %U http://www.nature.com/articles/s41586-021-03405-6 %N 7855 %! Nature %R 10.1038/s41586-021-03405-6 %0 Journal Article %J Ecosphere %D 2016 %T Major drivers of invasion risks throughout the world %A Bellard, Céline %A Leroy, Boris %A Thuiller, Wilfried %A Rysman, Jean-François %A Courchamp, Franck %X 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. %B Ecosphere %V 7 %P e01241 %G eng %U http://onlinelibrary.wiley.com/doi/10.1002/ecs2.1241/full %N 3 %R 10.1002/ecs2.1241 %0 Journal Article %J Nature Communications %D 2016 %T Massive yet grossly underestimated global costs of invasive insects %A Bradshaw, Corey J.A. %A Leroy, Boris %A Bellard, Céline %A Roiz, David %A Albert, Céline %A Fournier, Alice %A Barbet-Massin, Morgane %A Salles, Jean-Michel %A Simard, Frédéric %A Courchamp, Franck %X Insects have presented human society with some of its greatest development challenges by spreading diseases, consuming crops and damaging infrastructure. Despite the massive human and financial toll of invasive insects, cost estimates of their impacts remain sporadic, spatially incomplete and of questionable quality. Here we compile a comprehensive database of economic costs of invasive insects. Taking all reported goods and service estimates, invasive insects cost a minimum of US$70.0 billion per year globally, while associated health costs exceed US$6.9 billion per year. Total costs rise as the number of estimate increases, although many of the worst costs have already been estimated (especially those related to human health). A lack of dedicated studies, especially for reproducible goods and service estimates, implies gross underestimation of global costs. Global warming as a consequence of climate change, rising human population densities and intensifying international trade will allow these costly insects to spread into new areas, but substantial savings could be achieved by increasing surveillance, containment and public awareness. %B Nature Communications %V 7 %P 12986 %8 10/2016 %G eng %U http://www.nature.com/ncomms/2016/161004/ncomms12986/full/ncomms12986.html %R 10.1038/ncomms12986 %0 Journal Article %J Ecography %D 2016 %T virtualspecies, an R package to generate virtual species distributions %A Leroy, Boris %A Meynard, Christine N. %A Bellard, Céline %A Courchamp, Franck %X virtualspecies is a freely available package for R designed to generate virtual species distributions, a procedure increasingly used in ecology to improve species distribution models. This package combines the existing methodological approaches with the objective of generating virtual species distributions with increased ecological realism. The package includes (1) generating the probability of occurrence of a virtual species from a spatial set of environmental conditions (i.e., environmental suitability), with two different approaches; (2) converting the environmental suitability into presence-absence with a probabilistic approach; (3) introducing dispersal limitations in the realised virtual species distributions and (4) sampling occurrences with different biases in the sampling procedure. The package was designed to be extremely flexible, to allow users to simulate their own defined species-environment relationships, as well as to provide a fine control over every simulation parameter. The package also includes a function to generate random virtual species distributions. We provide a simple example in this paper showing how increasing ecological realism of the virtual species impacts the predictive performance of species distribution models. We expect that this new package will be valuable to researchers willing to test techniques and protocols of species distribution models as well as various biogeographical hypotheses. %B Ecography %V 39 %P 599-607 %G eng %U https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.01388 %N 6 %R 10.1111/ecog.01388 %0 Journal Article %J Global Ecology and Biogeography %D 2014 %T Vulnerability of biodiversity hotspots to global change %A Bellard, Céline %A Leclerc, Camille %A Leroy, Boris %A Bakkenes, Michel %A Veloz, Samuel %A Thuiller, Wilfried %A Courchamp, Franck %B Global Ecology and Biogeography %V 23 %P 1376 - 1386 %8 Jan-12-2014 %G eng %U https://onlinelibrary.wiley.com/toc/14668238/23/12 %N 12 %! Global Ecology and Biogeography %R 10.1111/geb.2014.23.issue-1210.1111/geb.12228