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dc.contributor.authorDeflem, Io S.
dc.contributor.authorBennetsen, Elina
dc.contributor.authorOpedal, Øystein H.
dc.contributor.authorCalboli, Federico C. F.
dc.contributor.authorOvaskainen, Otso
dc.contributor.authorVan Thuyne, Gerlinde
dc.contributor.authorVolckaert, Filip A. M.
dc.contributor.authorRaeymaekers, Joost A. M.
dc.date.accessioned2022-03-03T11:48:06Z
dc.date.available2022-03-03T11:48:06Z
dc.date.created2021-12-01T11:14:05Z
dc.date.issued2021
dc.identifier.citationDeflem, I. S., Bennetsen, E., Opedal, Ø. H., Calboli, F. C. F., Ovaskainen, O., Van Thuyne, G., Volckaert, F. A. M. & Raeymaekers, J. A. M. (2021). Predicting fish community responses to environmental policy targets. Biodiversity and Conservation, 30(5), 1457-1478. doi:en_US
dc.identifier.issn1572-9710
dc.identifier.urihttps://hdl.handle.net/11250/2982787
dc.descriptionAuthor's accepted version (postprint).en_US
dc.descriptionThis is an Accepted Manuscript of an article published by Springer in Biodiversity and Conversation on 27/03/2021.
dc.descriptionAvailable online: https://link.springer.com/article/10.1007/s10531-021-02154-2
dc.description.abstractThe European Union adopted the Water Framework Directive (WFD) in the year 2000 to tackle the rapid degradation of freshwater systems. However, biological, hydromorphological, and physico-chemical water quality targets are currently not met, and identifying successful policy implementation and management actions is of key importance. We built a joint species distribution model for riverine fish in Flanders (Belgium) to better understand the response of fish communities to current environmental policy goals. Environmental covariates included physico-chemical variables and hydromorphological quality indices, while waterway distances accounted for spatial effects. We detected strong effects of physico-chemistry on fish species’ distributions. Evaluation of fish community responses to simulated policy scenarios revealed that targeting a ‘good’ status, following the WFD, increases average species richness with a fraction of species (0.13–0.69 change in accumulated occurrence probabilities). Targeting a ‘very good’ status, however, predicted an increase of 0.17–1.38 in average species richness. These simulations indicated that riverbed quality, nitrogen, and conductivity levels should be the focal point of policy. However, the weak response of species to a ‘good’ quality together with the complexity of nutrient-associated problems, suggest a challenging future for river restoration in Flanders.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titlePredicting fish community responses to environmental policy targetsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Kjemi: 440::Miljøkjemi, naturmiljøkjemi: 446en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Matematisk modellering og numeriske metoder: 427en_US
dc.source.pagenumber1457-1478en_US
dc.source.volume30en_US
dc.source.journalBiodiversity and Conservationen_US
dc.source.issue5en_US
dc.identifier.doi10.1007/s10531-021-02154-2
dc.identifier.cristin1962517


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