Filtern
Erscheinungsjahr
Schlagworte
- Pesticides (3)
- Pestizid (3)
- ecotoxicology (3)
- Wastewater treatment plants (2)
- decomposition (2)
- freshwater organisms (2)
- traits (2)
- Abwasserreinigung (1)
- Agriculture (1)
- Agrochemikalien (1)
Streams are coupled with their riparian area. Emerging insects from streams can be an important prey in the riparian area. Such aquatic subsidies can cause predators to switch prey or increase predator abundances. This can impact the whole terrestrial food web. Stressors associated with agricultural land use can alter insect communities in water and on land, resulting in complex response patterns of terrestrial predators that rely on prey from both systems.
This thesis comprises studies on the impact of aquatic nsects on a terrestrial model ecosystem (Objective 1, hapter 2), the influence of agricultural land use on riparian spiders’ traits and community (Objective 2, Chapter 3), and on the impact of agricultural land use on the contribution of different prey to spider diet (Objective 3, Chapter 4).
In chapter 2, I present a study where we conducted a mesocosm experiment to examine the effects of aquatic subsidies on a simplified terrestrial food web consisting of two types of herbivores (leafhoppers and weevils), plants and predators (spiders). I focused on the prey choice of the spiders by excluding predator immigration and reproduction. In accordance with predator switching, survival of leafhoppers increased in the presence of aquatic subsidies. By contrast, the presence of aquatic subsidies indirectly reduced weevils and herbivory.
In chapter 3, I present the results on the taxonomic and trait response of riparian spider communities to gradients of agricultural stressors and environmental variables, with a particular emphasis on pesticides. To capture spiders with different traits and survival strategies, we used multiple collection methods. Spider community composition was best explained by in-stream pesticide toxicity and shading of the stream bank, a proxy for the quality of the habitat. Species richness and the number of spider individuals, as well as community ballooning ability, were negatively associated with in-stream pesticide toxicity. In contrast, mean body size and shading preference of spider communities responded strongest to shading,
whereas mean niche width (habitat preference for moisture and shading) responded strongest to other environmental variables.
In chapter 4, I describe aquatic-terrestrial predator-prey relations with gradients of agricultural stressors and environmental variables. I sampled spiders, as well as their aquatic and terrestrial prey along streams with an assumed pesticide pollution gradient and determined their stable carbon and nitrogen signals. Potential aquatic prey biomass correlated positively with an increasing aquatic prey contribution of T. montana. The contribution of aquatic prey to the diet of P. amentata showed a positive relationship with increasing toxicity in streams.
Overall, this thesis contributes to the emerging discipline of cross-ecosystem ecology and shows that aquatic-terrestrial linkages and riparian food webs can be influenced by land use related stressors. Future manipulative field studies on aquatic-terrestrial linkages are required that consider the quality of prey organisms, fostering mechanistic understanding of such crossecosystem effects. Knowledge on these linkages is important to improve understanding of consequences of anthropogenic stressors and to prevent further losses of ecosystems and their biodiversity.
This thesis examined two specific cases of point and diffuse pollution, pesticides and salinisation, which are two of the most concerning stressors of Germany’s freshwater bodies. The findings of this thesis were organized into three major components, of which the first component presents the contribution of WWTPs to pesticide toxicity (Chapter 2). The second component focuses on the current and future background salt ion concentrations under climate change with the absence of anthropogenic activities (Chapter 3). Finally, the third major component shows the response of invertebrate communities in terms of species turnover to levels of salinity change, considered as a proxy for human-driven salinisation (Chapter 4).
Despite the significant presence of neuroactive substances in the environment, bioassays that allow to detect diverse groups of neuroactive mechanisms of action are not well developed and not properly integrated into environmental monitoring and chemical regulation. Therefore, there is a need to develop testing methods which are amenable for fast and high-throughput neurotoxicity testing. The overall goal of this thesis work is to develop a test method for the toxicological characterization and screening of neuroactive substances and their mixtures which could be used for prospective and diagnostic hazard assessment.
In this thesis, the behavior of zebrafish embryos was explored as a promising tool to distinguish between different neuroactive mechanisms of action. Recently, new behavioral tests have been developed including photomotor response (PMR), locomotor response (LMR) and spontaneous tail coiling (STC) tests. However, the experimental parameters of these tests lack consistency in protocols such as exposure time, imaging time, age of exposure, endpoint parameter etc. To understand how experimental parameters may influence the toxicological interpretation of behavior tests, a systematic review of existing behavioral assays was conducted in Chapter 2. Results show that exposure concentration and exposure duration highly influenced the comparability between different test methods and the spontaneous tail coiling (STC) test was selected for further testing based on its relative higher sensitivity and capacity to detect neuroactive substances (Chapter 2).
STC is the first observable motor activity generated by the developing neural network of the embryo which is assumed to occur as a result of the innervation of the muscle by the primary motor neurons. Therefore, STC could be a useful endpoint to detect effect on the muscle innervation and also the on the whole nervous system. Consequently, important parameters of the STC test were optimized and an automated workflow to evaluate the STC with the open access software KNIME® was developed (Chapter 3).
To appropriately interpret the observed effect of a single chemical and especially mixture effects, requires the understanding of toxicokinetics and biotransformation. Most importantly, the biotransformation capacity of zebrafish embryos might be limited and this could be a challenge for assessment of chemicals such as organophosphates which require a bioactivation step to effectively inhibit the acetylcholinesterase (AChE) enzyme. Therefore, the influence of the potential limited biotransformation on the toxicity pathway of a typical organophosphate, chlorpyrifos, was investigated in Chapter 5. Chlorpyrifos could not inhibit AChE and this was attributed to possible lack of biotransformation in 24 hpf embryos (Chapter 5).
Since neuroactive substances occur in the environment as mixtures, it is therefore more realistic to assess their combined effect rather than individually. Therefore, mixture toxicity was predicted using the concentration addition and independent action models. Result shows that mixtures of neuroactive substances with different mechanisms of action but similar effects can be predicted with concentration addition and independent action (Chapter 4). Apart
from being able to predict the combined effect of neuroactive substances for prospective risk assessment, it is also important to assess in retrospect the combined neurotoxic effect of environmental samples since neuroactive substances are the largest group of chemicals occurring in the environment. In Chapter 6, the STC test was found to be capable of detecting neurotoxic effects of a wastewater effluent sample. Hence, the STC test is proposed as an effect based tool for monitoring environmental acute and neurotoxic effects.
Overall, this thesis shows the utility and versatility of zebrafish embryo behavior testing for screening neuroactive substances and this allows to propose its use for prospective and diagnostic hazard assessment. This will enhance the move away from expensive and demanding animal testing. The information contained in this thesis is of great potential to provide precautionary solutions, not only for the exposure of humans to neuroactive chemicals but for the environment at large.
Mathematical models of species dispersal and the resilience of metapopulations against habitat loss
(2021)
Habitat loss and fragmentation due to climate and land-use change are among the biggest threats to biodiversity, as the survival of species relies on suitable habitat area and the possibility to disperse between different patches of habitat. To predict and mitigate the effects of habitat loss, a better understanding of species dispersal is needed. Graph theory provides powerful tools to model metapopulations in changing landscapes with the help of habitat networks, where nodes represent habitat patches and links indicate the possible dispersal pathways between patches.
This thesis adapts tools from graph theory and optimisation to study species dispersal on habitat networks as well as the structure of habitat networks and the effects of habitat loss. In chapter 1, I will give an introduction to the thesis and the different topics presented in this thesis. Chapter 2 will then give a brief summary of tools used in the thesis.
In chapter 3, I present our model on possible range shifts for a generic species. Based on a graph-based dispersal model for a generic aquatic invertebrate with a terrestrial life stage, we developed an optimisation model that models dispersal directed to predefined habitat patches and yields a minimum time until these patches are colonised with respect to the given landscape structure and species dispersal capabilities. We created a time-expanded network based on the original habitat network and solved a mixed integer program to obtain the minimum colonisation time. The results provide maximum possible range shifts, and can be used to estimate how fast newly formed habitat patches can be colonised. Although being specific for this simulation model, the general idea of deriving a surrogate can in principle be adapted to other simulation models.
Next, in chapter 4, I present our model to evaluate the robustness of metapopulations. Based on a variety of habitat networks and different generic species characterised by their dispersal traits and habitat demands, we modeled the permanent loss of habitat patches and subsequent metapopulation dynamics. The results show that species with short dispersal ranges and high local-extinction risks are particularly vulnerable to the loss of habitat across all types of networks. On this basis, we then investigated how well different graph-theoretic metrics of habitat networks can serve as indicators of metapopulation robustness against habitat loss. We identified the clustering coefficient of a network as the only good proxy for metapopulation robustness across all types of species, networks, and habitat loss scenarios.
Finally, in chapter 5, I utilise the results obtained in chapter 4 to identify the areas in a network that should be improved in terms of restoration to maximise the metapopulation robustness under limited resources. More specifically, we exploit our findings that a network’s clustering coefficient is a good indicator for metapopulation robustness and develop two heuristics, a Greedy algorithm and a deducted Lazy Greedy algorithm, that aim at maximising the clustering coefficient of a network. Both algorithms can be applied to any network and are not specific to habitat networks only.
In chapter 6, I will summarize the main findings of this thesis, discuss their limitations and give an outlook of future research topics.
Overall this thesis develops frameworks to study the behaviour of habitat networks and introduces mathematical tools to ecology and thus narrows the gap between mathematics and ecology. While all models in this thesis were developed with a focus on aquatic invertebrates, they can easily be adapted to other metapopulations.
Die heutige Landwirtschaft ist in hohem Maße auf den Einsatz von Pestiziden angewiesen, um verschiedene Schädlinge zu bekämpfen und die Ernteerträge zu maximieren. Trotz detaillierter Vorschriften für den Einsatz von Pestiziden, die auf einem komplexen System der Risikobewertung beruhen, hat sich gezeigt, dass der weit verbreitete Einsatz dieser biologisch aktiven Substanzen eine Gefahr für die Umwelt darstellt. In Oberflächengewässern wurde beobachtet, dass die Pestizidbelastung die als noch umweltverträglich angesehenen Konzentrationen übersteigt und sich negativ auf die Ökologie der Fließgewässer auswirkt, was die Frage aufwirft, ob die derzeitige Risikobewertung einen nachhaltigen Einsatz von Pestiziden gewährleistet. Um diese Frage zu beantworten, hat das umfassende "Kleingewässer-Monitoring" (KgM) in den Jahren 2018 und 2019 das Vorkommen von Pestiziden und die damit verbundenen ökologischen Auswirkungen in 124 Fließgewässern in ganz Deutschland untersucht.
Basierend auf fünf wissenschaftlichen Publikationen, die aus dem KgM hervorgegangen sind, werden in dieser Arbeit die Pestizidbelastung in Fließgewässern, die ökologischen Auswirkungen und die regulatorischen Implikationen bewertet. Mehr als 1000 Wasserproben wurden auf über 100 Pestizid-Analyten untersucht, um das Vorkommen zu charakterisieren (Publikation 1). Die gemessenen Konzentrationen und Auswirkungen wurden zur Validierung der in der Risikobewertung vorhergesagten Umweltkonzentrationen und Wirkungschwellen verwendet (Veröffentlichung 2). Durch die gemeinsame Analyse von realen Pestizidanwendungsdaten und gemessenen Pestizidmischungen in Fließgewässern wurde die Missachtung von Pestizidmischungen in der Umwelt in der Risikobewertung beurteilt (Veröffentlichung 3). Das Risikopotenzial von Mischungen in Fließgewässern wurde zusätzlich mit Hilfe eines Verdachtsscreenings für 395 Chemikalien und einer Batterie von In-vitro-Bioassays untersucht (Publikation 4). Schließlich wurden die Ergebnisse des KgM verwendet, um die Eignung staatlicher Monitoringprogramme zur Identifizierung von Pestizidrisiken in Oberflächengewässern zu bewerten (Publikation 5).
Die Ergebnisse dieser Arbeit zeigen das weit verbreitete Vorkommen von Pestiziden in den Nichtzielökosystemen der Fließgewässer. Die Wasserproben wiesen eine Vielzahl von Pestiziden auf, die in komplexen Mischungen vor allem in kurzzeitigen Spitzenwerten nach Niederschlagsereignissen auftraten (Veröffentlichungen 1 & 4). Die jeweiligen Höchstwerte der Pestizidkonzentration wurden mit dem Rückgang empfindlicher Wirbellosenarten in Verbindung gebracht und überstiegen in etwa 80 % der landwirtschaftlich geprägten Fließgewässer die gesetzlich zulässigen Konzentrationen, welche als Schwellenwerte zum Teil noch als unzureichend für den Schutz der Wirbellosengemeinschaft angesehen wurden (Publikation 2). Das gleichzeitige Vorkommen von Pestiziden in Fließgewässern führte zu einem Risiko, das in der auf eine einzelne Substanzen ausgerichteten Risikobewertung in realistischen Worst-Case-Szenarien um einen Faktor von etwa 3,2 unterschätzt wurde. Dies wird durch die hohe Häufigkeit, mit der Nichtzielorganismen den Pestiziden ausgesetzt sind, weiter verstärkt (Veröffentlichung 3). Wasserproben, die nach Regenfällen entnommen wurden, verursachten in den Bioassays deutliche Effekte, die nur zu einem geringen Teil durch die vielen detektierten Analyten erklärbar waren, was auf die Relevanz unbekannter chemischer oder biologischer Mischungskomponenten hinweist (Publikation 4). Schließlich wurde festgestellt, dass die behördliche Überwachung von Oberflächengewässern gemäß der Wasserrahmenrichtlinie (WRRL) die Risiken von Pestiziden erheblich unterschätzt, da hier etwa drei Viertel der kritischen Pestizide und mehr als die Hälfte der gefährdeten Gewässer übersehen worden wären (Veröffentlichung 5).
Im Wesentlichen liefert diese Arbeit eine neue Ebene der Validierung der Risikobewertung von Pestiziden in aquatischen Ökosystemen, indem das Auftreten von Pestiziden und ihre Auswirkungen auf die Umwelt in einem bisher einzigartigen Maßstab bewertet werden. Die Ergebnisse zeigen generell, dass der derzeitige landwirtschaftliche Einsatz von Pestiziden zu erheblichen Auswirkungen auf die Fließgewässerökologie führt, die über das von der Risikobewertung tolerierte Maß hinausgehen. In dieser Arbeit wurden die Unterschätzung der Pestizidexposition, die potenzielle Unzulänglichkeit der gesetzlichen Schwellenwerte und die allgemeine Trägheit des Zulassungsverfahrens als Hauptursachen dafür ermittelt, dass entsprechende gesetzlich verankerte, ökologische Zielsetzungen momentan erwiesenermaßen nicht erreicht werden. Um einen nachhaltigen Einsatz von Pestiziden zu gewährleisten, schlägt die Arbeit wesentliche Änderungen der Risikobewertung vor. Monitoringprogramme wie das KgM, die über die derzeitigen staatlichen Überwachungsbemühungen hinausgehen, werden weiterhin erforderlich sein, um die Regulierungsbehörden für Pestizide ständig über die Gültigkeit ihrer prospektiven Risikobewertung zu informieren, die immer mit Unsicherheiten behaftet sein wird.