The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity - Université Grenoble Alpes Accéder directement au contenu
Article Dans Une Revue PLoS Biology Année : 2022

The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity

Giovanni Vimercati
Anna Probert
Lara Volery
Ruben Bernardo-Madrid
  • Fonction : Auteur
Sandro Bertolino
  • Fonction : Auteur
Vanessa Céspedes
Franz Essl
  • Fonction : Auteur
Thomas Evans
Belinda Gallardo
Laure Gallien
Pablo González-Moreno
Cang Hui
Jonathan Jeschke
Stelios Katsanevakis
Ingolf Kühn
Sabrina Kumschick
Jan Pergl
  • Fonction : Auteur
Petr Pyšek
  • Fonction : Auteur
Loren Rieseberg
Tamara Robinson
Wolf-Christian Saul
Cascade Sorte
  • Fonction : Auteur
Montserrat Vilà
John Wilson
  • Fonction : Auteur
Sven Bacher

Résumé

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.

Dates et versions

hal-03772198 , version 1 (08-09-2022)

Identifiants

Citer

Giovanni Vimercati, Anna Probert, Lara Volery, Ruben Bernardo-Madrid, Sandro Bertolino, et al.. The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity. PLoS Biology, 2022, 20 (8), pp.e3001729. ⟨10.1371/journal.pbio.3001729⟩. ⟨hal-03772198⟩
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