Artículo
The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity
Autor/es | Vimercati, Giovanni
Probert, Anna F. Volery, Lara Bernardo Madrid, Rubén Bertolino, Sandro Cespedes, Vanessa Essl, Franz Evans, Thomas González Moreno, Pablo Vilà, Montserrat Wilson, John R U. Bacher, Sven |
Departamento | Universidad de Sevilla. Departamento de Biología Vegetal y Ecología |
Fecha de publicación | 2022 |
Fecha de depósito | 2022-09-09 |
Publicado en |
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Resumen | Species introduced through human-related activities beyond their native range, termed alien species, have various impacts worldwide. The IUCN Environmental Impact Classification for Alien Taxa (EICAT) is a global standard ... Species introduced through human-related activities beyond their native range, termed alien species, have various impacts worldwide. The IUCN Environmental Impact Classification for Alien Taxa (EICAT) is a global standard to assess negative impacts of alien species on native biodiversity. Alien species can also positively affect biodiversity (for instance, through food and habitat provisioning or dispersal facilitation) but there is currently no standardized and evidence-based system to classify positive impacts. We fill this gap by proposing EICAT+, which uses 5 semiquantitative scenarios to categorize the magnitude of positive impacts, and describes underlying mechanisms. EICAT+ can be applied to all alien taxa at different spatial and organizational scales. The application of EICAT+ expands our understanding of the consequences of biological invasions and can inform conservation decisions. |
Agencias financiadoras | Agencia Estatal de Investigación. España Swiss National Science Foundation (SNFS) Austrian Fonds zur Förderung der Wissenschaftlichen Forschung German Bundesministerium für Bildung und Forschung (BMBF) French National Research Agency US National Science Foundation National Research Foundation of South Africa Australian Research Council UK Natural Environment Research Council Hellenic Foundation for Research and Innovation (H.F.R.I.) |
Identificador del proyecto | PCI2018-092939
PCI2018-092986 31003A_179491 31BD30_184114 4011-B32 16LC1803A 01LC1807C ANR-18-EBI4-0001-06 ICER-1852060 89967 DP200101680 NE/V007548/1 HFRIFM17-1597 |
Cita | Vimercati, G., Probert, A.F., Volery, L., Bernardo Madrid, R., Bertolino, S., Cespedes, V.,...,Bacher, S. (2022). The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity. PLoS Biology, 20 (8), e3001729. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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The EICAT+ framework.pdf | 2.022Mb | [PDF] | Ver/ | |