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Introduction: At the cellular level, acute temperature changes alter ionic conductances, ion channel kinetics, and the activity of entire neuronal circuits. This can result in severe consequences for neural function, animal behavior and survival. In poikilothermic animals, and particularly in aquatic species whose core temperature equals the surrounding water temperature, neurons experience rather rapid and wide-ranging temperature fluctuations. Recent work on pattern generating neural circuits in the crustacean stomatogastric nervous system have demonstrated that neuronal circuits can exhibit an intrinsic robustness to temperature fluctuations. However, considering the increased warming of the oceans and recurring heatwaves due to climate change, the question arises whether this intrinsic robustness can acclimate to changing environmental conditions, and whether it differs between species and ocean habitats.
Methods: We address these questions using the pyloric pattern generating circuits in the stomatogastric nervous system of two crab species, Hemigrapsus sanguineus and Carcinus maenas that have seen a worldwide expansion in recent decades.
Results and discussion: Consistent with their history as invasive species, we find that pyloric activity showed a broad temperature robustness (>30°C). Moreover, the temperature-robust range was dependent on habitat temperature in both species. Warm-acclimating animals shifted the critical temperature at which circuit activity breaks down to higher temperatures. This came at the cost of robustness against cold stimuli in H. sanguineus, but not in C. maenas. Comparing the temperature responses of C. maenas from a cold latitude (the North Sea) to those from a warm latitude (Spain) demonstrated that similar shifts in robustness occurred in natural environments. Our results thus demonstrate that neuronal temperature robustness correlates with, and responds to, environmental temperature conditions, potentially preparing animals for changing ecological conditions and shifting habitats.
Hibernation is a widespread adaptation in animals to seasonally changing environmental conditions. In the face of global anthropogenic change, information about plastic adjustments to environmental conditions and associated mortality costs are urgently needed to assess population persistence of hibernating species. Here, we used a five-year data set of 1047 RFID-tagged individuals from two bat species, Myotis nattereri and Myotis daubentonii that were automatically recorded each time they entered or left a hibernaculum. Because the two species differ in foraging strategy and activity pattern during winter, we expected species–specific responses in the timing of hibernation relative to environmental conditions, as well as different mortality costs of early departure from the hibernaculum in spring. Applying mixed-effects modelling, we disentangled population-level and individual-level plasticity in the timing of departure. To estimate mortality costs of early departure, we used both a capture mark recapture analysis and a novel approach that takes into account individual exposure times to mortality outside the hibernaculum. We found that the timing of departure varied between species as well as among and within individuals, and was plastically adjusted to large-scale weather conditions as measured by the NAO (North Atlantic Oscillation) index. Individuals of M. nattereri, which can exploit milder temperatures for foraging during winter, tuned departure more closely to the NAO index than individuals of M. daubentonii, which do not hunt during winter. Both analytical approaches used to estimate mortality costs showed that early departing individuals were less likely to survive until the subsequent hibernation period than individuals that departed later. Overall, our study demonstrates that individuals of long-lived hibernating bat species have the potential to plastically adjust to changing climatic conditions, although the potential for adjustment differs between species.
Flies form high-density associations with human settlements and groups of nonhuman primates and are implicated in transmitting pathogens. We investigate the movement of nonhuman primate-associated flies across landscapes surrounding Kibale National Park, Uganda, using a mark–recapture experiment. Flies were marked in nine nonhuman primate groups at the forest edge (x̄ = 929 flies per group), and we then attempted to recapture them in more anthropized areas (50 m, 200 m and 500 m from where marked; 2–21 days after marking). Flies marked in nonhuman primate groups were recaptured in human areas (19/28,615 recaptured). Metabarcoding of the flies in nonhuman primate groups revealed the DNA of multiple eukaryotic primate parasites. Taken together, these results demonstrate the potential of flies to serve as vectors between nonhuman primates, livestock and humans at this biodiverse interface.
The need for the diversification of utilised species has emerged in the present aquaculture
production environment. Shifts in consumer interest, climate change-induced temperature
increases, and major fish disease outbreaks have put a strain on this industry. In this context,
the pikeperch (Sander lucioperca) has become a new target species for aquaculture in Central
Europe. This new aquaculture focus species exhibits high numbers of offspring, fast growth,
and high consumer acceptance. It can also effectively deal with higher temperatures and turbid
water. However, the rate of successful rearing is still low, as various developmental
transformations and environmental effects commonly lead to high mortality rates during the
early ontogenetic stages. The aim of this doctoral project was thus to obtain insight into
embryonic to larval developmental changes during pikeperch ontogeny. Specifically, the times
of change that influence survival were of focus. Based on the available literature, particular
attention was paid to general growth patterns and the connected developmental changes, the
determination of myogenesis gene marker expression changes, and the support of animal
welfare efforts for pikeperch rearing procedures. To achieve the aims of the study, a methodical
setup consisting of morphometric and developmental observations was combined with
transcriptome gene marker analysis for the different ontogenetic stages.
Three developmental phases were differentiated during the embryo-larval transition. Each of
these possessed distinct growth patterns with different growth rates. The intermediate
threshold phase showed internal organ development that focused on digestive, neuronal, and
heart tissues. Three activity phases of myogenesis were determined: during early embryonic
development, before hatching, and after hatching during the larval stages. Therefore, muscle
development seemed to be regulated to balance energy expenditures. Additionally, two
coinciding skeletogenic phases were found. Furthermore, a cell line from whole embryos was
developed to support the replacement of animals in future experimental setups. A software
system for video analyses was developed to support rearing procedures in aquaculture
facilities. This prototype can be used to automate the counting of specimens and thus allows
for faster responses to increasing mortalities. Based on the results of this thesis project, further
insights into the early development of pikeperches were obtained. This will facilitate the design
and adaptation of raising and husbandry protocols, which can help to further establish
pikeperch as an aquaculture species and support its application in modern recirculatory
systems.
Background
The ‘wallflower’ hypothesis proposes females mate indiscriminately to avoid reproductive delays. Post-copulatory mechanisms may then allow ‘trading up’, favouring paternity of future mates. We tested links between pre- and post-copulatory choice in Latrodectus geometricus female spiders paired sequentially with two males. These females copulate as adults or as subadults and store sperm in paired spermathecae. Choosy adults have a higher risk of delays to reproduction than subadults.
Results
We predicted low pre-copulatory, but high post-copulatory choice at first matings for adults and the opposite for subadults. At second matings, we expected all females would prefer males superior to their first. We found all females mated indiscriminately at their first pairing, but in contrast to subadults, adults usually allowed only a single insertion (leaving one of their paired spermatheca empty); a mechanism of post-copulatory choosiness. Adult-mated females were more likely to remate than subadult-mated females when they became adults, showing a preference for larger males, while subadult-mated females tended to prefer males of greater size-corrected mass.
Conclusions
Our results show that the ‘wallflower’ effect and ‘trading up’ tactics can be utilized at different life stages, allowing females to employ choice even if rejecting males is costly.
Background
Haemosporidian parasites of the genus Polychromophilus infect bats worldwide. They are vectored by obligate ectoparasitic bat flies of the family Nycteribiidae. Despite their global distribution, only five Polychromophilus morphospecies have been described to date. The two predominant species, Polychromophilus melanipherus and Polychromophilus murinus, are broadly distributed and mainly infect miniopterid and vespertilionid bats, respectively. In areas where species from different bat families aggregate together, the infection dynamics and ability of either Polychromophilus species to infect other host families is poorly characterized.
Methods
We collected 215 bat flies from two bat species, Miniopterus schreibersii and Rhinolophus ferrumequinum, which sometimes form mixed clusters in Serbia. Miniopterus schreibersii is known to be frequently infected with P. melanipherus, whereas R. ferrumequinum has been observed to be incidentally infected with both Polychromophilus species. All flies were screened for Polychromophilus infections using a PCR targeting the haemosporidian cytb gene. Positive samples were subsequently sequenced for 579 bp of cytochrome b (cytb) and 945 bp of cytochrome oxidase subunit 1 (cox1).
Results
Polychromophilus melanipherus DNA was detected at six out of nine sampling locations and in all three examined bat fly species collected from M. schreibersii (Nycteribia schmidlii, n = 21; Penicillidia conspicua, n = 8; Penicillidia dufourii, n = 3). Four and five haplotypes were found for cytb and cox1, respectively. Evidence for multiple Polychromophilus haplotypes was found in 15 individual flies. These results point to a high diversity of P. melanipherus parasites in Miniopterus hosts and efficient transmission throughout the study area. A single Phthiridium biarticulatum bat fly collected from R. ferrumequinum screened positive for P. melanipherus, but only yielded a partial cox1 sequence fragment. Nevertheless, this result suggests that secondary hosts (both bat and fly species) are regularly confronted with this parasite.
Conclusions
The results of this study provide new insights into the prevalence and distribution of Polychromophilus parasites in European bats and their nycteribiid vectors. The use of bat flies for the non-invasive investigation of Polychromophilus infections in bat populations has proven to be efficient and thus represents an alternative for large-scale studies of infections in bat populations without the need to invasively collect blood from bats.
In mandibulate arthropods, the primary olfactory centers, termed olfactory lobes in crustaceans, are typically organized in distinct fields of dense synaptic neuropils called olfactory glomeruli. In addition to olfactory sensory neuron terminals and their postsynaptic efferents, the glomeruli are innervated by diverse neurochemically distinctive interneurons. The functional morphology of the olfactory glomeruli is understudied in crustaceans compared with insects and even less well understood and described in a particular crustacean subgroup, the Peracarida, which embrace, for example, Amphipoda and Isopoda. Using immunohistochemistry combined with confocal laser scanning microscopy, we analyzed the neurochemistry of the olfactory pathway in the amphipod Parhyale hawaiensis. We localized the biogenic amines serotonin and histamine as well as the neuropeptides RFamide, allatostatin, orcokinin, and SIFamide. As for other classical neurotransmitters, we stained for γ-aminobutyric acid and glutamate decarboxylase and used choline acetyltransferase as indicator for acetylcholine. Our study is another step in understanding principles of olfactory processing in crustaceans and can serve as a basis for understanding evolutionary transformations of crustacean olfactory systems.
Animals often respond to climate change with changes in morphology, e.g., shrinking body size with increasing temperatures, as expected by Bergmann’s rule. Because small body size can have fitness costs for individuals, this trend could threaten populations. Recent studies, however, show that morphological responses to climate change and the resulting fitness consequences cannot be generalized even among related species. In this long-term study, we investigate the interaction between ambient temperature, body size and survival probability in a large number of individually marked wild adult female Natterer’s bats (Myotis nattereri). We compare populations from two geographical regions in Germany with a different climate. In a sliding window analysis, we found larger body sizes in adult females that were raised in warmer summers only in the northern population, but not in the southern population that experienced an overall warmer climate. With a capture-mark-recapture approach, we showed that larger individuals had higher survival rates, demonstrating that weather conditions in early life could have long-lasting fitness effects. The different responses in body size to warmer temperatures in the two regions highlight that fitness-relevant morphological responses to climate change have to be viewed on a regional scale and may affect local populations differently.
Animals face strong environmental variability even on short time scales particularly in shallow coastal habitats, forcing them to permanently adjust their metabolism. Respiration rates of aquatic ectotherms are directly influenced by water temperature, whereas ingestion rates might additionally be influenced by behavior. We aim to understand how respiration and ingestion rates of an aquatic invertebrate respond to changing temperature during a diurnal thermal fluctuation cycle and how both processes are related. We studied the benthopelagic mysid Neomysis integer as an important food web component of coastal ecosystems. Mysids were collected at the southern Baltic Sea coast and exposed in the laboratory to either constant temperature of 15°C or daily temperature fluctuation of 15 ± 5°C. Short-term (1–2 h) respiration and ingestion rates were measured at four equidistant time points within 24 h and did not differ among time points at constant temperature, but differed among time points in the fluctuating treatment. Respiration was highest at the thermal maximum and lowest at the thermal minimum. Ingestion rates showed the opposite pattern under fluctuation, likely due to differences in underlying thermal performance curves. When temperature transited the average, the direction of temperature change influenced the animals' response in respiration and ingestion rates differently. Our results suggest that respiration is not only instantaneously affected by temperature, but also influenced by the previously experienced direction of thermal change. Our experiment, using an important non-model organism, delivered new insights on the relationship between the crucial organismal processes ingestion and respiration under thermal variability.
Amid the current global biodiversity crisis, being able to accurately monitor the changing state of biodiversity is essential for successful conservation actions and policy. Despite the pressing need for reliable and cost-effective monitoring methods, collecting such data remains extremely difficult for elusive species, such as temperate zone bats. Although bats are important indicators of environmental changes, monitoring bat populations is challenging because they are nocturnal, volant, small, and highly sensitive to human activities and disturbance. Thus far, population trends of temperate zone bats have been mainly based on visual surveys, including winter hibernation counts at underground sites. However, as bats may not always be roosting in visible locations within the hibernacula, it is currently unknown how these estimates relate to actual population sizes.
Infrared light barriers combined with camera traps are a novel method to monitor bats at underground sites. When installed at the entrance of hibernacula, infrared light barriers have the potential to estimate site-level population sizes more accurately than visual surveys, by counting all bats flying in and out of the site. Moreover, camera traps, consisting of a digital camera and white flash, can be used for species-level identification. However, for this new method to be applicable as a large-scale bat monitoring technique, it is important to characterize it with regard to three main criteria: is the method minimally invasive, is it accurate, and is it scalable in terms of spatial and temporal resolution? Therefore, the purpose of this thesis was to investigate the invasiveness and accuracy of this novel bat monitoring method, and to develop standardized and automated data analysis pipelines, both for the light barrier and camera trap data, to support the deployment of this method at scale.
In Publication I, we used light barrier data, infrared video recordings and acoustic data from an experimental field study to investigate whether the white flash of the camera trap has any measurable short- or long-term effect on bat activity and behavior. The flash of the camera trap was turned on and off every week at each site, which allowed us to compare the activity and behavior of bats between flash-on and flash-off nights. We found that despite the high sensitivity of bats to disturbance, they did not change their nightly activity patterns, flight direction, echolocation behavior, or long-term site use in response to the white flash of the camera trap. Based on these results, we concluded that camera traps using a white flash are a minimally invasive method for monitoring bat populations at hibernacula, providing high quality images that allows species-level identification.
In Publication II, we used infrared video surveillance to quantify the accuracy of infrared light barriers, and we described a standardized methodology to estimate population sizes and trends of hibernating bat assemblages using light barrier data. We showed that light barrier accuracy varies based on the model and location of the installation relative to the entrance, with the best combination achieving nearly perfect accuracy over the spring emergence phase. When compared to light barrier-based estimates, we found that visual counts markedly underestimated population sizes, recovering less than 10% of the bats at the most complex hibernacula. Moreover, light barrier-based population trends showed regional patterns of growth and decline that were not detectable using the visual count data. Overall, we established that the light barrier data can be used to estimate the population size and trends of hibernating bat assemblages with unprecedented accuracy and in a standardized way.
In Publication III, we described a deep learning-based tool, BatNet, that can accurately and efficiently identify bat species from camera trap images. The baseline model was trained to identify 13 European bat species or species complexes using camera trap images collected at 32 hibernation sites (i.e., trained sites). We showed that the baseline model performance was very high across all 13 bat species on trained sites, as well as on untrained sites when the camera angle and distance from the entrance were comparable to the training images. At untrained sites with more atypical camera placements, we demonstrated the ability to retrain the baseline model and achieve an accuracy comparable to the trained sites. Additionally, we showed that the model can learn to identify a new species, while maintaining high classification accuracy for all original species. Finally, we established that BatNet can be used to accurately describe ecological metrics from camera trap images (i.e., species diversity, relative abundance, and species-specific phenology) that are relevant for bat conservation.
We conclude that infrared light barriers and camera traps offer a minimally invasive and accurate method to monitor site-level bat population trends and species-specific phenological estimates at underground sites. Such remote data collection approaches are particularly relevant for monitoring large, complex hibernation sites, where traditional visual surveys are not feasible or account only for a small fraction of the actual population. Combining this automated monitoring method with a deep learning-based species identification tool, BatNet, allows us quickly and accurately analyze millions of camera trap images resulting from large-scale, long-term camera trap studies. As a result, we can gain unprecedented insights into the behavior and population dynamics of these enigmatic species, drastically improving our ability to support data-driven bat conservation.