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Toxic stress in multiply stressed ecosystems
Helmut Segner, Daniel Bontje, Pavel Jurajda, Bob Kooi, Isabel Munoz, Peter von der Ohe, Marketa Ondrakova, Stefanie Rotter, Sergi Sabater, Mechthild Schmitt-Jansen, Michael Wenger, Dick de Zwart
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Motivation: understanding the relation between chemical and ecological status of aquatic resources
Chemical status relates to ecological status Chemical status does not relatesto ecological status Cf. presentationm Jos van Gils
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Why are there mismatches between chemical and ecological status ?
Effects of unknown chemicals (cf. presentation Werner Brack) Flaws in predicting of ecological responses to complex chemical mixtures on the basis of single compound, single chemical laboratory tests Impacts of multiple stressors, chemical and non-chemical ones (hydromorphology, pathogens, climate change,...)
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Case study of MODELKEY: disaggregating multiple stressors in the Bilina river, Czech Republic
Toxic chemical impact expressed as „toxic units“ Linear downstream increase of toxic impact Nachdem wir nun mehrfach Korrelationen geshene haben, nun ein konkretes Beispiel Wenger et al., in press
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Fish ecological status does not relate to chemical status
Case study of MODELKEY: disaggregating multiple stressors in the Bilina river, Czech Republic Fish ecological status does not relate to chemical status U shape Only fish species left; chub hypoxia trolerant Wenger et al., in press
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Fish ecological status relates to water oxygen levels
Case study of MODELKEY: multiple stressors in the Bilina river, Czech Republic Fish ecological status relates to water oxygen levels U-shape Wenger et al., in press
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But how to tackle this practically ?
The WFD expresses the need to consider non-chemical together with chemical stressors The WFD requires „the identification of significant anthropogenic pressures and the assessment of their impacts on water bodies„ (Annex II, WFD). In European river basins we are frequently confronted with multiple stressor situations, with the role of non-chemical stressors increasing at decreasing toxic stress. In order to decide on priority actions for improving the ecological status, water managers must be able to define a hierarchy amongst the various stressors and to understand combined impacts of multiple stressors. But how to tackle this practically ?
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(MODELKEY case study; redundancy analysis)
Correlational approaches to diagnose the importance of toxic chemicals in relation to other stressors A3A 1.0 Ibuprofen Temperature Pharmaceuticals and temperature explain 71 % of the species variance in the Llobregat river (MODELKEY case study; redundancy analysis) LL4C LL3A LL4A LL1A LL2C LL3C LL1C LL2A LL2B A2C A3B Propranolol A1A LL3B A3C A1C A1B Indomethacine LL1B A2A LL4B Die limitierung ist natürlich, dass wir abhängen von den Daten die wir haben ! The use of the multivariate analysis allow us to link different groups of variables and select those statistical significant in the characterization of the sampling point or the community. In this case with the invertebrates and the environmental variables jointly with pharmaceuticals, we observe that in sites with higher concentration of some pharmaceuticals there is higher biomass of some insect larvae or worms. RDA: Variance explained 71% -0.6 A2B -0.4 1.2 Muñoz et al.; Env.Tox.Chem., 28 (12): (2009) 8
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Effect-and-possible-cause pies (EPCs)
Correlational approaches to diagnose the importance of toxic chemicals in comparison to other stressors Effect-and-possible-cause pies (EPCs) Size of pie informs how different or similar species composition at a study site is to a reference ecologcial conditison or site: a small pie indicates no or small difference, a big pie indicates a large difference. Thus, teh size informs on ecologcioal status of the site. The composition of the pie informs on the magnitude of the various stressors that were quantified fo this site. Of course, as before, it all depends on what stressors are quantified and how well tehy can be quantified (nor all stressors are nicely to quantify). However, the approach rpovides a diagnostic information to – depending on data quality – either formulate effective remediation measurs, or to trigger more in-depth investigations Dick de Zwart et al. 2009
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A major challenge is to assess stressor interactions: for instance, combination effects
Dose metrics to measure the interaction between water ion concentrations and prometryn toxicvity on biofilm communities Synergism ? Rotter et al. 2009
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A major challenge is to assess stressor interactions: for instance, non-linear effects
Organism altered repro-duction Estrogen-active compounds Molecular and physiological effects Molecular and physiological effects reduced survival Also in the retrospective/diagnostic approach, where we start with an observed ecological impairment and try to identify the causative stressor or stressor combinations, mechanistic understanding is important since it enables us to formulate conceptual models which offer a likely explanation how a suspect stressor could impair biological elements. Mechanistic understanding and models can also show where different stressors may interact and thus can direct additional data collection pathogen
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Synergistic effect on survival
A major challenge is to assess stressor interactions: for instance, non-linear effects altered repro-duction Estrogen-active compounds Molecular and physiological effects Molecular and physiological effects Synergistic effect on survival Also in the retrospective/diagnostic approach, where we start with an observed ecological impairment and try to identify the causative stressor or stressor combinations, mechanistic understanding is important since it enables us to formulate conceptual models which offer a likely explanation how a suspect stressor could impair biological elements. Mechanistic understanding and models can also show where different stressors may interact and thus can direct additional data collection pathogen
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Worldwide decline of amphibians: consequence of interactions between toxicants and pathogens ?
PNAS, 2002 Importantly: when thinking on the impact of multiple stressors, it is not only to recognize which stressors are relevant at a given site and to add them up But also it may be that one particluar stressor which itself is not „relevant“ in terms of biological impact, may render the organisms more susceptible to the impact of another stressor (these hidden stressor interactions are a particular conceptual challenge Ein stressor per se (hier pathogen) löst keinen negativen oder moderatent negativen effetc aus (here:sirvival), aber in kombination mit chemischen stressor kommt es zu einer duetlich verstärkten reaktion
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Additional complication in assessing combined stressor impact: biological scaling
e.g., prediction to population level: Example: Critical prometryn concentrations for flagellate population in combination with varying nitrogen levels More: : Presentation Leo Posthuma e.g., species traits and sensitivities pesticides Pharmaceuticals Biofilm Effect on com-munity structure No effect invertebratess Effect on com-munity structure
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Conclusions To identify causes of ecological impairment in a multiple stressor situation, water managers need tools, approaches and models for setting hierarchies on the relative importance of stressors: e.g., tools to quantify various stressors and stressor-related responses; for evidencing cause-effect relationships: e.g., toxico-genomics to identify unexpected interactions, bioenergetic models, dose metrics to determine thresholds of combined effects, species vulnerability models, for extrapolating multiple stressor effects across biological, spatial and temporal scales: e.g. epidemiological tools, ecology-based models Aufgabe: msPAF Ableitung einlesen Figure 3, de Zwart et al. 2009: at low toxic pressure (< 25 %) (importantly: the toxic pressure was calcualted on the basis of the known/analysed chemicals) seems not directly associated to local losses of taxa Recent years have seen much progress in approaches to assess ecological impact of toxic chemicals and chemical mixtures, we are now ready to close the existing gaps in multiple stressor assessment.
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