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

Giovanni VimercatiAnna F ProbertLara VoleryRuben Bernardo-MadridSandro BertolinoVanessa CéspedesFranz EsslThomas EvansBelinda GallardoLaure GallienPablo González-MorenoMarie Charlotte GrangeCang HuiJonathan M JeschkeStelios KatsanevakisIngolf KühnSabrina KumschickJan PerglPetr PyšekLoren H RiesebergTamara B RobinsonWolf-Christian SaulCascade J B SorteMontserrat VilàJohn R U WilsonSven Bacher
Published in: PLoS biology (2022)
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.
Keyphrases
  • climate change
  • machine learning
  • deep learning
  • endothelial cells
  • genetic diversity
  • human health