Universitätsbibliothek

The present work investigates the influence of environmental stimuli on the building behavior of workers of the leaf-cutting ant Atta vollenweideri. It focuses on cues related to the airflow-driven ventilation of their giant underground nests, i.e., air movements and their direction, carbon dioxide concentrations and humidity levels of the nest air. First, it is shown that workers are able to use airflow and its direction as learned orientation cue by performing learning experiments with individual foragers using a classical conditioning paradigm. This ability is expected to allow workers to also navigate inside the nest tunnels using the prevailing airflow directions for orientation, for example during tasks related to nest construction and climate control. Furthermore, the influence of carbon dioxide on the digging behavior of workers is investigated. While elevated CO2 levels hardly affect the digging rate of the ants, workers prefer to excavate at locations with lower concentrations and avoid higher CO2 levels when given a choice. Under natural conditions, shifting their digging activity to soil layers containing lower carbon dioxide levels might help colonies to excavate new or to broaden existing nest openings, if the CO2 concentration in the underground rises. It is also shown that workers preferably transport excavated soil along tunnels containing high CO2 concentrations, when carbon dioxide levels in the underground are elevated as well. In addition, workers prefer to carry soil pellets along outflow tunnels instead of inflow tunnels, at least for high humidity levels of the air. The material transported along tunnels providing outflow of CO2-rich air might be used by workers for the construction of ventilation turrets on top of the nest mound, which is expected to promote the wind-induced ventilation and the removal of carbon dioxide from the underground. The climatic conditions inside the nest tunnels also influence the structural features of the turrets constructed by workers on top the nest. While airflow and humidity have no effect on turret structure, outflow of CO2-rich air from the nest causes workers to construct turrets with additional openings and increased aperture, potentially enhancing the airflow-driven gas exchanges within the nest. Finally, the effect of airflow and ventilation turrets on the gas exchanges in Atta vollenweideri nests is tested experimentally on a physical model of a small nest consisting of a single chamber and two nest tunnels. The carbon dioxide clearance rate from the underground was measured depending on both the presence of airflow in the nest and the structural features of the built turrets. Carbon dioxide is removed faster from the physical nest model when air moves through the nest, confirming the contribution of wind-induced flow inside the nest tunnels to the ventilation of Atta vollenweideri nests. In addition, turrets placed on top of one of the tunnel openings of the nest further enhance the CO2 clearance rate and the effect is positively correlated with turret aperture. Taken together, climatic variables like airflow, carbon dioxide and humidity levels strongly affect the building responses of Atta vollenweideri leaf-cutting ants. Workers use these environmental stimuli as orientation cue in the nest during tasks related to excavation, soil transport and turret construction. Although the effects of these building responses on the microclimatic conditions inside the nest remain elusive so far, the described behaviors are expected to allow ant colonies to restore and maintain a proper nest climate in the underground.

Solitary bees in seasonal environments have to align their life-cycles with favorable environmental conditions and resources. Therefore, a proper timing of their seasonal activity is highly fitness relevant. Most species in temperate environments use temperature as a trigger for the timing of their seasonal activity. Hence, global warming can disrupt mutualistic interactions between solitary bees and plants if increasing temperatures differently change the timing of interaction partners. The objective of this dissertation was to investigate the mechanisms of timing in spring-emerging solitary bees as well as the resulting fitness consequences if temporal mismatches with their host plants should occur. In my experiments, I focused on spring-emerging solitary bees of the genus Osmia and thereby mainly on O. cornuta and O. bicornis (in one study which is presented in Chapter IV, I additionally investigated a third species: O. brevicornis). Chapter II presents a study in which I investigated different triggers solitary bees are using to time their emergence in spring. In a climate chamber experiment I investigated the relationship between overwintering temperature, body size, body weight and emergence date. In addition, I developed a simple mechanistic model that allowed me to unite my different observations in a consistent framework. In combination with the empirical data, the model strongly suggests that solitary bees follow a strategic approach and emerge at a date that is most profitable for their individual fitness expectations. I have shown that this date is on the one hand temperature dependent as warmer overwintering temperatures increase the weight loss of bees during hibernation, which then advances their optimal emergence date to an earlier time point (due to an earlier benefit from the emergence event). On the other hand I have also shown that the optimal emergence date depends on the individual body size (or body weight) as bees adjust their emergence date accordingly. My data show that it is not enough to solely investigate temperature effects on the timing of bee emergence, but that we should also consider individual body conditions of solitary bees to understand the timing of bee emergence. In Chapter III, I present a study in which I investigated how exactly temperature determines the emergence date of solitary bees. Therefore, I tested several variants degree-day models to relate temperature time series to emergence data. The basic functioning of such degree-day models is that bees are said to finally emerge when a critical amount of degree-days is accumulated. I showed that bees accumulate degree-days only above a critical temperature value (~4°C in O. cornuta and ~7°C in O. bicornis) and only after the exceedance of a critical calendar date (~10th of March in O. cornuta and ~28th of March in O. bicornis). Such a critical calendar date, before which degree-days are not accumulated irrespective of the actual temperature, is in general less commonly used and, so far, it has only been included twice in a phenology model predicting bee emergence. Furthermore, I used this model to retrospectively predict the emergence dates of bees by applying the model to long-term temperature data which have been recorded by the regional climate station in Würzburg. By doing so, the model estimated that over the last 63 years, bees emerged approximately 4 days earlier. In Chapter IV, I present a study in which I investigated how temporal mismatches in bee-plant interactions affect the fitness of solitary bees. Therefore, I performed an experiment with large flight cages serving as mesocosms. Inside these mesocosms, I manipulated the supply of blossoms to synchronize or desynchronize bee-plant interactions. In sum, I showed that even short temporal mismatches of three and six days in bee-plant interactions (with solitary bee emergence before flower occurrence) can cause severe fitness losses in solitary bees. Nonetheless, I detected different strategies by solitary bees to counteract impacts on their fitness after temporal mismatches. However, since these strategies may result in secondary fitness costs by a changed sex ratio or increased parasitism, I concluded that compensation strategies do not fully mitigate fitness losses of bees after short temporal mismatches with their food plants. In the event of further climate warming, fitness losses after temporal mismatches may not only exacerbate bee declines but may also reduce pollination services for later-flowering species and affect populations of animal-pollinated plants. In conclusion, I showed that spring-emerging solitary bees are susceptible to climate change as in response to warmer temperatures bees advance their phenology and show a decreased fitness state. As spring-emerging solitary bees not only consider overwintering temperature but also their individual body condition for adjusting emergence dates, this may explain differing responses to climate warming within and among bee populations which may also have consequences for bee-plant interactions and the persistence of bee populations under further climate warming. If in response to climate warming plants do not shift their phenologies according to the bees, bees may experience temporal mismatches with their host plants. As bees failed to show a single compensation strategy that was entirely successful in mitigating fitness consequences after temporal mismatches with their food plants, the resulting fitness consequences for spring-emerging solitary bees would be severe. Furthermore, I showed that spring-emerging solitary bees use a critical calendar date before which they generally do not commence the summation of degree-days irrespective of the actual temperature. I therefore suggest that further studies should also include the parameter of a critical calendar date into degree-day model predictions to increase the accuracy of model predictions for emergence dates in solitary bees. Although our retrospective prediction about the advance in bee emergence corresponds to the results of several studies on phenological trends of different plant species, we suggest that more research has to be done to assess the impacts of climate warming on the synchronization in bee-plant interactions more accurately.

Transforming modern agriculture towards both higher yields and greater sustainability is critical for preserving biodiversity in an increasingly populous and variable world. However, the intensity of agricultural practices varies strongly between crop systems. Given limited research capacity, it is crucial to focus efforts to increase sustainability in the crop systems that need it most. In this study, we investigate the match (or mismatch) between the intensity of pesticide use and the availability of knowledge on the ecosystem service of natural pest control across various crop systems. Using a systematic literature search on pest control and publicly available pesticide data, we find that pest control literature is not more abundant in crops where insecticide input per hectare is highest. Instead, pest control literature is most abundant, with the highest number of studies published, in crops with comparatively low insecticide input per hectare but with high world harvested area. These results suggest that a major increase of interest in agroecological research towards crops with high insecticide input, particularly cotton and horticultural crops such as citrus and high value-added vegetables, would help meet knowledge needs for a timely ecointensification of agriculture.

I.) Plant associated microorganisms can affect the plant`s interaction with herbivores and higher trophic levels. For instance, endophytic fungi infecting aerial plant parts of grass species produce bioactive alkaloids that can negatively affect species from higher trophic levels, indicating a defensive mutualism between the grass and the endophyte. However, beneficial insects can also be negatively affected by the endophyte, which might question the mutualistic effect of endophytic fungi. On the other hand, grass-endophytes are affected by environmental conditions and species interactions. Grazing can increase endophyte frequencies in natural habitats. Furthermore, endophyte mediated effects on herbivores are most pronounced during warm summers following rainy springs. In this study, we investigated whether endophyte derived alkaloids cascade up a food chain (chapter II) and whether their concentrations depend on plant age and season (chapter III). Further we analysed, whether altered herbivore phenology affects the endophytic fungus (chapter IV) and whether endophyte derived alkaloid production is induced by different herbivore species (chapter V). II.) In our first experimental study we analysed whether grass-endophyte derived alkaloids decreased the performance of two ladybird species feeding on aphids exclusively reared on endophyte infected grass (6 weeks young grass). Further, we screened species from three trophic levels (grass, herbivores and aphid predators) for their alkaloid content using two year old infected grass as diet for herbivores. We established an UPLC-MS method to detect and quantify the amount of the endophyte derived alkaloids peramine and lolitrem B extracted from the organic plant and insect material. Performance parameters of ladybirds revealed little differences between ladybirds fed on aphids reared on endophyte infected and non-infected grass, which probably resulted from low alkaloid concentrations in the young (6-weeks old) endophyte infected grass used in this part of the study. Alkaloid quantification of the two year old endophyte infected grass, herbivores and aphid predators revealed similar concentrations between grass and aphids, while aphid predators contained approximately half of that amount which still exceeded the bioactive threshold. We conclude that alkaloids produced by grass-endophytes cascade up the food chain and are responsible for fitness disadvantages of higher trophic levels. III.) In the second study we investigated the impact of plant age and seasonal timing on grass-endophyte growth and alkaloid production. Plants were sown in April of 2013 and sampled monthly over 30 consecutive months. Endophyte growth was quantified with real-time PCR (qPCR) and alkaloid concentrations with UPLC-MS. We showed that alkaloid concentrations and fungal growth followed a seasonal rhythmicity and that alkaloid concentrations increased with plant age. Alkaloid concentrations peak during summer, when also herbivore abundances are high. Consequently, we conclude that plant age and season contribute to the toxicity of endophytes on grass herbivores IV.) In the third study we simulated earlier spring arrival of aphids by enhancing aphid abundance on endophyte infected and endophyte-free grass in spring and analysed responses across three trophic levels. Enhanced aphid abundance in spring caused higher aphid abundances during the study period. Predators stayed unaffected by increased herbivore abundances; however they did level aphid numbers within two weeks after arrival on the plants, independent of aphid abundance. Grass-endophyte showed a time delayed growth, two weeks after aphid abundance peak and after predators already controlled aphid infestations on the plants. We conclude that phenology shifts of herbivorous insects can affect multi-trophic interactions leading to desynchronizations between phenologies of interacting species and mismatches in food-webs. V.) In the fourth study we analysed whether herbivores induce endophyte growth and alkaloid production and whether different types of herbivores induce specific alkaloid production. We applied three different herbivore treatments on endophyte infected grass over 18 weeks. Locust herbivory increased the insect deterring alkaloid peramine and clipping of plants (simulation of grazing livestock) increased the vertebrate toxic alkaloid lolitrem B. Aphid herbivory did not affect endophyte derived alkaloid concentrations. Endophyte responses to herbivory were species specific which indicates a primarily plant protecting role of alkaloid synthesis in endophyte infected plants and a close chemical crosstalk between interacting species. VI.) In summary, we showed that endophyte derived alkaloids affect higher trophic levels and that alkaloid concentrations in the plant depend on prevalent herbivore species, plant age and seasonal timing. Our results indicate a close chemical crosstalk between the host plant and the endophytic fungus which is susceptible to environmental changes altering the endophyte`s alkaloid production in plants. We gained insights into the grass-endophyte symbiosis in ecological contexts and conclude that several factors determine the herbivore toxic potential of endophytic fungi and thereby their plant mutualistic or parasitic character. Future studies should investigate the mechanisms behind the herbivore induced alkaloid concentration increase, shown in this thesis, especially whether plant signals mediate the endophyte response. Furthermore it would be interesting to study the induction of indirect endophyte mediated defence and how it affects multi-trophic level interactions.

Traditional species identification based on morphological characters is laborious and requires expert knowledge. It is further complicated in the case of species assemblages or degraded and processed material. DNA-barcoding, species identification based on genetic data, has become a suitable alternative, yet species assemblages are still difficult to study. In the past decade meta-barcoding has widely been adopted for the study of species communities, due to technological advances in modern sequencing platforms and because manual separation of individual specimen is not required. Here, meta-barcoding is put into context and applied to the study of bee-collected pollen as well as bacterial communities. These studies provide the basis for a critical evaluation of the powers and limitations of meta-barcoding. Advantages identified include species identification without the need for expert knowledge as well as the high throughput of samples and sequences. In microbiology, meta-barcoding can facilitate directed cultivation of taxa of interest identified with meta-barcoding data. Disadvantages include insufficient species resolution due to short read lengths and incomplete reference databases, as well as limitations in abundance estimation of taxa and functional profiling. Despite these, meta-barcoding is a powerful method for the analysis of species communities and holds high potential especially for automated biomonitoring.