Results of risk assessment of alien species in Sweden 2018
type: Dataset
distribution: Landing page for the dataset
title: Resultat av riskklassificering av främmande arter i Sverige 2018 @sv
description: The Swedish Species Information Centre estimated for 1033 species their potential risks concerning native biodiversity in Sweden. The assignment was performed on behalf of the Swedish Environmental Protection Agency and the Swedish Agency for Marine and Water Management in 2017-2018. This dataset contains the results of this risk assessment that was conducted according to the GEIAA v3.3 method. The results presented are impact category and criteria for impact assessment, and assessments of ecological effect and invasion potential.
description: Artdatabanken har på uppdrag av Naturvårdsverket och Havs- och vattenmyndigheten riskklassificerat 1033 arter under 2017-2018. Risken avser sannolikheten att de utgör, eller kan komma att utgöra, en risk för inhemsk biologisk mångfald. Det här datasetet innehåller resultat för genomförd riskklassning som utfördes enligt metoden GEIAA v.3.3. De resultat som återges är uppskattningar av ekologisk effekt och invasionspotential, samt riskklass och utfallsgivande kriterier. @sv
modified: 2026-03-24T15:24:03.486874Z
issued: 2025-03-14T08:14:04.920799Z
publisher: Swedish University of Agricultural Sciences
access rights: PUBLIC
qualified attribution: Attribution
  had role: author
  agent: Swedish University of Agricultural Sciences
    type: Agent
    name: Sveriges lantbruksuniversitet @sv
    type: Academia-ScientificOrganisation
contact point: Individual
  fn: SLU Artdatabanken
contact point: Individual
  fn: SLU Arkiv
keyword: risk assessment
keyword: riskvärdering @sv
keyword: invasive species
keyword: alien species
keyword: alien plant
keyword: invasive alien species
keyword: introduced species
keyword: främmande arter @sv
keyword: Animalia
keyword: flercelliga djur @sv
keyword: Fungi
keyword: svampar @sv
keyword: Chromista
keyword: kromister @sv
keyword: Plantae
keyword: egentliga växter @sv
language: SWE
spatial: Sweden

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: Results of risk assessment of alien species in Sweden 2018
availability: stable

Swedish University of Agricultural Sciences
type: Agent
name: Sveriges lantbruksuniversitet @sv
type: Academia-ScientificOrganisation
source: 02yy8x990

Sweden
type: Location
label: Sverige @sv