Refine
Year of publication
- 2020 (76) (remove)
Document Type
- Doctoral Thesis (36)
- Part of Periodical (22)
- Bachelor Thesis (7)
- Master's Thesis (7)
- Article (1)
- Preprint (1)
- Report (1)
- Study Thesis (1)
Keywords
- Datenschutz (2)
- Forschen in Koblenz (2)
- Junges Forschen (2)
- Persönlichkeit (2)
- Wissenschaft Koblenz (2)
- model-based (2)
- 3D Modell Referenz Bildsynthese (1)
- 3D-Vermessung (1)
- Abdrift (1)
- Abwasserreinigung (1)
Institute
- Institut für Management (14)
- Institut für Computervisualistik (10)
- Fachbereich 7 (9)
- Zentrale Einrichtungen (9)
- Fachbereich 8 (4)
- Institut für Integrierte Naturwissenschaften, Abt. Physik (4)
- Fachbereich 4 (3)
- Institut für Integrierte Naturwissenschaften, Abt. Biologie (3)
- Institut für Umweltwissenschaften (3)
- Institut für Kulturwissenschaft (2)
Stream ecosystems are one of the most threatened ecosystems worldwide due to their exposure to diverse anthropogenic stressors. Pesticides appear to be the most relevant stressor for agricultural streams. Due to the current mismatch of modelled and measured pesticide concentrations, monitoring is necessary to inform risk assessment or improve future pesticide approvals. Knowing if biotic stress responses are similar across large scales and long time frames could ultimately help in estimating protective stressor thresholds.
This thesis starts with an overview of entry pathways of pesticides to streams as well as the framework of current pesticide monitoring and gives an outline of the objectives of the thesis. In chapter 2, routine monitoring data based on grab sampling from several countries is analysed to identify the most frequently occurring pesticide mixtures. These mixtures are comprised of relatively low numbers of pesticides, of which herbicides are dominating. The detected pesticide mixtures differ between regions and countries, due to differences in the spectrum of analysed compounds and limits of quantification. Current routine monitoring does not include sampling during pesticide peaks associated with heavy rainfall events which likely influences the detected pesticide mixtures. In chapter 3, sampling rates of 42 organic pesticides for passive sampling are provided together with recommendations for the monitoring of field-relevant peaks. Using this information, in chapter 4 a pesticide gradient is established in an Eastern European region where agricultural intensity adjacent to sampled streams ranges from low to high. In contrast to current routine monitoring, rainfall events were sampled and a magnitude of pesticides were analysed. This led to the simultaneous detection of numerous pesticides of which one to three drive the pesticide toxicity. The toxicity, however, showed no relationship to the agricultural intensity. Using microcosms, the stress responses of fungal communities, the hyphomycetes, and the related ecosystem function of leaf decomposition, is investigated in chapter 5. Effects of a field-relevant fungicide mixture are examined across three biogeographical regions for three consecutive cycles of microbial leaf colonisation and decomposition. Despite different initial communities, stress responses as well as recoveries were similar across biogeographical regions, indicating a general pattern.
Overall, this thesis contributes to an improved understanding of occurrence and concentrations of pesticides mixtures in streams, their monitoring and impact on an ecosystem function. We showed that estimated pesticide toxicities reach levels that affect non-target organisms and thereby potentially whole ecosystems. Routine monitoring, however, likely underestimates the threat by pesticides. Effects leading to a loss in biodiversity or functions in streams ecosystems can be reduced by reassessing approved pesticides with ongoing targeted monitoring and increased knowledge of effects caused by these pesticides.