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dc.contributor.authorGjedde, Philip
dc.contributor.authorCarrer, Fabio
dc.contributor.authorPettersen, Johan Berg
dc.contributor.authorVerones, Francesca
dc.date.accessioned2024-06-10T09:25:15Z
dc.date.available2024-06-10T09:25:15Z
dc.date.created2024-05-31T09:28:59Z
dc.date.issued2024
dc.identifier.issn0948-3349
dc.identifier.urihttps://hdl.handle.net/11250/3133270
dc.description.abstractPurpose Marine vertebrate populations have halved in the past decades, and invasive species are a major driver for this loss. While many model the spread of invasive species, a model to assess impacts of marine invasions, after introduction, has hitherto been missing. We present the first regionalized effect factors for marine invasions. These factors gauge differences in biodiversity impacts after invasions, enabling life cycle impact assessments to highlight biodiversity impacts from invasive species. Methods Alien species are species that are introduced by humans to ecosystems where they are not native. We combine data from the IUCN red list and the MarINvaders database to identify the potentially disappeared fraction of native species within each marine coastal ecoregion after alien introduction. The effect factors indicate the biodiversity impact from invasions per alien introduction. However, the IUCN red list has a performance bias between taxonomic groups, and both the IUCN and the harmonized citizen science data from MarINvaders have a geographic observer’s bias. We address some of this bias by evaluating the number of threatened species per number of assessed species, as well as including machine-learning derived data for data deficient species. Results and discussion The resulting regional effect factors demonstrate high effects of invasions at high latitudes, which is in line with other findings. Our approach is founded on continuously growing citizen science data and so reflects the biases and uncertainties that follow with this uneven way of data sampling. On the other hand, the continuous data collection by citizen scientists will improve data coverage and thus improve the model. Vice versa, the model itself may be motivation for citizens scientists to collect more data. Conclusion The effect of marine invasions presented herein reflects current global information on the issue viewed in a perspective relevant for life cycle impact assessments. The developed effect factors can be used for further assessments that will aid decision-making for policies, industries, and consumers to work towards minimizing impacts of marine invasions and are developed to be compatible with different relevant fate factors.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEffect factors for marine invasion impacts on biodiversityen_US
dc.title.alternativeEffect factors for marine invasion impacts on biodiversityen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.journalThe International Journal of Life Cycle Assessmenten_US
dc.identifier.doi10.1007/s11367-024-02325-7
dc.identifier.cristin2272385
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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