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Data from: Ecological impact assessments of alien species in Norway

Authors: Sandvik, Hanno; Hilmo, Olga; Henriksen, Snorre; Elven, Reidar; Åsen, Per Arvid; Hegre, Hanne; Pedersen, Oddvar; +44 Authors

Data from: Ecological impact assessments of alien species in Norway

Abstract

Due to globalisation, trade and transport, the spread of alien species is increasing dramatically. Some alien species become ecologically harmful by threatening native biota. This can lead to irreversible changes in local biodiversity and ecosystem functioning, and, ultimately, to biotic homogenisation. We risk-assessed all alien plants, animals, fungi and algae, within certain delimitations, that are known to reproduce in Norway. Mainland Norway and the Arctic archipelago of Svalbard plus Jan Mayen were treated as separate assessment areas. Assessments followed the Generic Ecological Impact Assessment of Alien Species (GEIAA) protocol, which uses a fully quantitative set of criteria. A total of 1519 species were risk-assessed, of which 1183 were species reproducing in mainland Norway. Among these, 9% were assessed to have a severe impact, 7% high impact, 7% potentially high impact, and 49% low impact, whereas 29% had no known impact. In Svalbard, 16 alien species were reproducing, one of which with a severe impact. The impact assessments also covered 319 so-called door-knockers, i.e. species that are likely to establish in Norway within 50 years, and 12 regionally alien species. Of the door-knockers, 8% and 10% were assessed to have a severe and high impact, respectively. The impact category of most species was driven by negative interactions with native species, transformation of threatened ecosystems, or genetic contamination. The proportion of alien species with high or severe impact varied significantly across the different pathways of introduction, taxonomic groups, time of introduction and the environments colonised, but not across continents of origin. Given the large number of alien species reproducing in Norway and the preponderance of species with low impact, it is neither realistic nor necessary to eradicate all of them. Our results can guide management authorities in two ways. First, the use of quantitative assessment criteria facilitates the prioritisation of management resources across species. Second, the background information collected for each species, such as introduction pathways, area of occupancy and ecosystems affected, helps designing appropriate management measures.

The dataset contains three files: (1) Data.xlsx (microsoft excel spreadsheet workbook) (2) assess.txt (data file as semicolon-delimited plain text) (3) Info.pdf (explanations of the data file) The workbook "Data.xlsx" contains the same information as the two latter files: - The data are provided both in "assess.txt" and in the "Assessments" sheet of "Data.xlsx". - The information needed to interpret the data is provided both in "Info.pdf" and in "Data.xlsx". For questions on these files, please contact the first author (hanno.sandvik@nina.no) or the Norwegian Biodiversity Information Centre (fremmedearter@artsdatabanken.no).

The species assessed were a subset of the inventory of alien species in Norway (described by Sandvik et al., Biological Invasions 21:2997, 2019). The assessments followed the Generic Ecological Impact Assessment of Alien Species (GEIAA, described by Sandvik et al., Biological Invasions 21:2803, 2019).

Keywords

Invasion potential, Norway, ecological impact, alien species, genetic contamination, quantitative impact assessment, Svalbard, area of occupancy, introduction pathway, ecological effect, door-knocker species, Jan Mayen

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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