2023
DOI: 10.1111/cobi.14214
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Using the IUCN Environmental Impact Classification for Alien Taxa to inform decision‐making

Sabrina Kumschick,
Sandro Bertolino,
Tim M. Blackburn
et al.

Abstract: The Environmental Impact Classification for Alien Taxa (EICAT) is an important tool for biological invasion policy and management and has been adopted as an International Union for Conservation of Nature (IUCN) standard to measure the severity of environmental impacts caused by organisms living outside their native ranges. EICAT has already been incorporated into some national and local decision‐making procedures, making it a particularly relevant resource for addressing the impact of non‐native species. Recen… Show more

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Cited by 3 publications
(1 citation statement)
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References 82 publications
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“…Firstly, there are many ways to aggregate impacts, both, within species (calculating one impact value taking into account all impact records for the species) and across species (calculating an impact score for a site where several alien species are present) (Boulesnane-Genguant et al in prep). Some of the most prominent methods to get one impact value per species have been to sum scores (e.g., Nentwig et al 2016), to calculate a mean value (e.g., Rumlerova et al 2016), and to take a maximum value (e.g., Blackburn et al 2014) (see also Kumschick et al 2024). They each come with underlying assumptions which can affect the results.…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, there are many ways to aggregate impacts, both, within species (calculating one impact value taking into account all impact records for the species) and across species (calculating an impact score for a site where several alien species are present) (Boulesnane-Genguant et al in prep). Some of the most prominent methods to get one impact value per species have been to sum scores (e.g., Nentwig et al 2016), to calculate a mean value (e.g., Rumlerova et al 2016), and to take a maximum value (e.g., Blackburn et al 2014) (see also Kumschick et al 2024). They each come with underlying assumptions which can affect the results.…”
Section: Discussionmentioning
confidence: 99%