A unified classification of alien species based on the magnitude of their environmental impacts
Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
24802715
PubMed Central
PMC4011680
DOI
10.1371/journal.pbio.1001850
PII: PBIOLOGY-D-13-04781
Knihovny.cz E-zdroje
- MeSH
- biodiverzita MeSH
- býložravci fyziologie MeSH
- distribuce rostlin fyziologie MeSH
- druhová specificita MeSH
- extinkce biologická MeSH
- lidé MeSH
- lidské činnosti trendy MeSH
- nejistota MeSH
- populační dynamika trendy MeSH
- potravní řetězec MeSH
- predátorské chování fyziologie MeSH
- půda chemie MeSH
- rostliny mikrobiologie parazitologie virologie MeSH
- rozšíření zvířat fyziologie MeSH
- zavlečené druhy statistika a číselné údaje MeSH
- životní prostředí * MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- půda MeSH
Species moved by human activities beyond the limits of their native geographic ranges into areas in which they do not naturally occur (termed aliens) can cause a broad range of significant changes to recipient ecosystems; however, their impacts vary greatly across species and the ecosystems into which they are introduced. There is therefore a critical need for a standardised method to evaluate, compare, and eventually predict the magnitudes of these different impacts. Here, we propose a straightforward system for classifying alien species according to the magnitude of their environmental impacts, based on the mechanisms of impact used to code species in the International Union for Conservation of Nature (IUCN) Global Invasive Species Database, which are presented here for the first time. The classification system uses five semi-quantitative scenarios describing impacts under each mechanism to assign species to different levels of impact-ranging from Minimal to Massive-with assignment corresponding to the highest level of deleterious impact associated with any of the mechanisms. The scheme also includes categories for species that are Not Evaluated, have No Alien Population, or are Data Deficient, and a method for assigning uncertainty to all the classifications. We show how this classification system is applicable at different levels of ecological complexity and different spatial and temporal scales, and embraces existing impact metrics. In fact, the scheme is analogous to the already widely adopted and accepted Red List approach to categorising extinction risk, and so could conceivably be readily integrated with existing practices and policies in many regions.
Department of Biology Unit Ecology and Evolution University of Fribourg Fribourg Switzerland
Department of Ecology Faculty of Science Charles University Prague Prague Czech Republic
Environment Agency Austria Department of Biodiversity and Nature Conservation Vienna Austria
Estación Biológica de Doñana Seville Spain
German Centre for Integrative Biodiversity Research Halle Jena Leipzig Leipzig Germany
Imperial College London Ascot Berkshire United Kingdom
Institute of Ecology and Evolution University of Bern Bern Switzerland
Redpath Museum McGill University Montreal Quebec Canada
The Bio Protection Research Centre Lincoln University Christchurch New Zealand
UFZ Helmholtz Centre for Environmental Research Department of Community Ecology Halle Germany
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