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dc.contributor.authorRettig, Katharina-
dc.contributor.authorSemmler-Elpers, Renate-
dc.contributor.authorBrettschneider, Denise-
dc.date.accessioned2023-10-03T06:45:18Z-
dc.date.available2023-10-03T06:45:18Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s10661-023-11741-5-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/9423-
dc.descriptionCC-BYvi
dc.description.abstractEcological status assessment under the European Water Framework Directive (WFD) often integrates the impact of multiple stressors into a single index value. This hampers the identification of individual stressors being responsible for status deterioration. As a consequence, management measures are often disentangled from assessment results. To close this gap and to support river basin managers in the diagnosis of stressors, we linked numerous macroinvertebrate assessment metrics and one diatom index with potential causes of ecological deterioration through Bayesian belief networks (BBNs).vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectBBNsvi
dc.subjectWFDvi
dc.titleOf causes and symptoms: using monitoring data and expert knowledge to diagnose the causes of stream degradationvi
dc.typeBookvi
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