EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/22/2018 | 9:45 AM - 10:00 AM | LINKING BIOLOGICAL RESPONSE TO CATCHMENT MANAGEMENT: THE DEVELOPMENT AND TESTING OF DIAGNOSTIC BIOTIC INDICES | 330 A
LINKING BIOLOGICAL RESPONSE TO CATCHMENT MANAGEMENT: THE DEVELOPMENT AND TESTING OF DIAGNOSTIC BIOTIC INDICES
The European Water Framework Directive (WFD) introduced a legal obligation for member states to mitigate the factors causing waterbodies to fail to achieve quality targets (“Good” Ecological Status). Hence, efforts have been made to provide methods that can identify the factors causing sites to fail, which includes development of stressor-specific diagnostic indices. We have developed indices based on empirical analysis of extensive field survey data, using partial ordination to account for natural background variation in species distributions and enabling the effects of composite stressor gradients to be assessed (e.g. multiple metals). Whereas some strongly associated stressors (e.g. flow modification/fine sediment) are difficult to disentangle using diagnostic indices, others provide a clearer signal of causality. These indices used in conjunction with spatial models based on land use practice can predict likely stressors acting on a waterbody and the likely biological response to mitigation. Using experimental agricultural catchments varying in hydrological connectivity and land-use, we are now testing these indices by explicitly linking biological and hydrochemical responses to mitigation efforts. Such work will improve our understanding of the effectiveness of mitigation, and the social, economic and biological constraints on achieving WFD targets.
- Diagnostic Indices
- Landuse
- Sediment
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Presenters/Authors
John Iwan Jones
(), Queen Mary University of London, j.i.jones@qmul.ac.uk;
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John Murphy
(), Queen Mary University of London, j,f,murphy@qmul.ac.uk;
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Amanda Arnold
(), Queen Mary University of London, a.arnold@qmul.ac.uk;
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Chaz Duerdoth
(), Queen Mary University of London, c.p.duerdoth@qmul.ac.uk;
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James Pretty
(), Queen Mary University of London, j.i.pretty@qmul.ac.uk;
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Adrian Collins
(), Rothamsted Research, adrian.collins@rothamsted.ac.uk;
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