@phdthesis{Leidinger2020,
  author    = {Leidinger, Ludwig Klaus Theodor},
  title     = {How genomic and ecological traits shape island biodiversity - insights from individual-based models},
  doi       = {10.25972/OPUS-20730},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-207300},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Life on oceanic islands provides a playground and comparably easy\-/studied basis for the understanding of biodiversity in general. Island biota feature many fascinating patterns: endemic species, species radiations and species with peculiar trait syndromes. However, classic and current island biogeography theory does not yet consider all the factors necessary to explain many of these patterns. In response to this, there is currently a shift in island biogeography research to systematically consider species traits and thus gain a more functional perspective. Despite this recent development, a set of species characteristics remains largely ignored in island biogeography, namely genomic traits. Evidence suggests that genomic factors could explain many of the speciation and adaptation patterns found in nature and thus may be highly informative to explain the fascinating and iconic phenomena known for oceanic islands, including species radiations and susceptibility to biotic invasions. Unfortunately, the current lack of comprehensive meaningful data makes studying these factors challenging. Even with paleontological data and space-for-time rationales, data is bound to be incomplete due to the very environmental processes taking place on oceanic islands, such as land slides and volcanism, and lacks causal information due to the focus on correlative approaches. As promising alternative, integrative mechanistic models can explicitly consider essential underlying eco\-/evolutionary mechanisms. In fact, these models have shown to be applicable to a variety of different systems and study questions. In this thesis, I therefore examined present mechanistic island models to identify how they might be used to address some of the current open questions in island biodiversity research. Since none of the models simultaneously considered speciation and adaptation at a genomic level, I developed a new genome- and niche-explicit, individual-based model. I used this model to address three different phenomena of island biodiversity: environmental variation, insular species radiations and species invasions. Using only a single model I could show that small-bodied species with flexible genomes are successful under environmental variation, that a complex combination of dispersal abilities, reproductive strategies and genomic traits affect the occurrence of species radiations and that invasions are primarily driven by the intensity of introductions and the trait characteristics of invasive species. This highlights how the consideration of functional traits can promote the understanding of some of the understudied phenomena in island biodiversity. The results presented in this thesis exemplify the generality of integrative models which are built on first principles. Thus, by applying such models to various complex study questions, they are able to unveil multiple biodiversity dynamics and patterns. The combination of several models such as the one I developed to an eco\-/evolutionary model ensemble could further help to identify fundamental eco\-/evolutionary principles. I conclude the thesis with an outlook on how to use and extend my developed model to investigate geomorphological dynamics in archipelagos and to allow dynamic genomes, which would further increase the model's generality.},
  subject      = {Inselbiogeografie},
  language  = {en}
}
@phdthesis{Sieger2020,
  author    = {Sieger, Charlotte Sophie},
  title     = {Potential evolutionary responses to landscape heterogeneity and systematic environmental trends},
  doi       = {10.25972/OPUS-21669},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-216690},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Over the course of the last century, humans have witnessed drastic levels of global environmental change that endangered both, the survival of single species as well as biodiversity itself. This includes climate change, in both environmental means and in variance and subsequently frequent extreme weather events, as well as land use change that species have to cope with. With increasing urbanization, increasing agricultural area and increasing intensification, natural habitat is not only lost, but also changes its shape and distribution in the landscape. Both aspects can heavily influence an individual's fitness and therefore act as a selective force promoting evolutionary change. This way climate change influences individuals' niches and dispersal. Local adaptation and dispersal are not independent of each other. Dispersal can have two opposite effects on local adaptation. It can oppose local adaptation, by promoting the immigration of maladapted indi- viduals or favor local adaptation by introducing better adapted genotypes. Which of those effects of dispersal on local adaptation emerges in a population depends on the dispersal strategies and the spatial structure of the landscape. In principle an adaptive response can include adjustment of the niche optimum as well as habitat tolerance (niche width) or (instead) ecological tracking of adequate conditions by dispersal and range shifting. So far, there has been no extensive modeling study of the evolution of the environmental niche optimum and tolerance along with dispersal probability in complex landscapes. Either only dispersal or (part of ) the environmental niche can evolve or the landscapes used are not realistic but rather a very abstract representation of spatial structures. I want to try and disentangle those different effects of both local adaptation and dispersal during global change, as well as their interaction, especially considering the separation between the effects of increasing mean and increasing variance. For this, I implemented an individual based model (IBM), with escalating complexity. I showed that both on a temporal as well as on a spatial scale, variation can be more influential then mean conditions. Indeed, the actual spatial configuration of this heterogeneity and the relationship between spatial and temporal heterogeneity affect the evolution of the niche and of dispersal probability more than temporal or spatial mean conditions. I could show that in isolated populations, an increase of an environmental attribute's mean or variance can lead to extinction, under certain conditions. In particular, increasing variance cannot be tracked forever, since increasing tolerance has distinct limits of feasibility. Increasing mean conditions can also occur too fast to be tracked, especially from generalist individuals. When expanding the model to the metapopulation level without a temporal environmental trend, the degree of spatial vs.temporal heterogeneity influenced the evolution of random dispersal heavily. With increasing spatial heterogeneity, individuals from extreme and rare patches evolve from being philopatric to dispersive, while individuals from average patches switch in the opposite direction. With the last expansion to a different set of landscapes with varying degrees of edge density, I could show that edge effects are strong in pseudo-agricultural landscapes, while in pseudo-natural habitats they were hardly found, regardless of emigration strategy. Sharp edges select against dispersal in the edge patches and could potentially further isolate populations in agricultural landscapes. The work I present here can also be expanded further and I present several suggestions on what to do next. These expansions could help the realism of the model and eventually shed light on its bearing on ecological global change predictions. For example species distribution models or extinction risk models would be more precise, if they included both spatial and temporal variation. The current modeling practices might not be suffcient to describe the possible outcomes of global change, because spatio-temporal heterogeneity and its influence on species' niches is too important to be ignored for longer.},
  language  = {en}
}
@phdthesis{Figueiredo2021,
  author    = {Figueiredo, Ludmilla},
  title     = {Extinction debt of plants, insects and biotic interactions: interactive effects of habitat fragmentation and climate change},
  doi       = {10.25972/OPUS-23873},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-238738},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {The importance of understanding species extinctions and its consequences for ecosystems and human life has been getting increasing public attention. Nonetheless, regardless of how pressing the current biodiversity loss is, with rare exceptions, extinctions are actually not immediate. Rather, they happen many generations after the disturbance that caused them. This means that, at any point in time after a given disturbance, there is a number of extinctions that are expected to happen. This number is the extinction debt. As long as all the extinctions triggered by the disturbance have not happened, there is a debt to be paid. This delay in extinctions can be interpreted as a window of opportunity, when conservation measures can be implemented. In this thesis, I investigated the relative importance of ecological and evolutionary processes unfolding after different disturbances scenarios, to understand how this knowledge can be used to improve conservation practices aiming at controlling extinctions. In the Introduction (chapter 1), I present the concept of extinction debts and the complicating factors behind its understanding. Namely, I start by presenting i) the theoretical basis behind the definition of extinction debts, and how each theory informed different methodologies of study, ii) the complexity of understanding and predicting eco-evolutionary dynamics, and iii) the challenges to studying extinctions under a regime of widespread and varied disturbance of natural habitats. I start the main body of the thesis (chapter 2) by summarizing the current state of empirical, theoretical, and methodological research on extinction debts. In the last 10 years, extinction debts were detected all over the globe, for a variety of ecosystems and taxonomic groups. When estimated - a rare occurrence, since quantifying debts requires often unavailable data - the sizes of these debts range from 9 to 90\\% of current species richness and they have been sustained for periods ranging from 5 to 570 yr. I identified two processes whose contributions to extinction debts have been studied more often, namely 1) life-history traits that prolong individual survival, and 2) population and metapopulation dynamics that maintain populations under deteriorated conditions. Less studied are the microevolutionary dynamics happening during the payment of a debt, the delayed conjoint extinctions of interaction partners, and the extinction dynamics under different regimes of disturbances (e.g. habitat loss vs. climate change). Based on these observations, I proposed a roadmap for future research to focus on these less studies aspects. In chapters 3 and 4, I started to follow this roadmap. In chapter 3, I used a genomically-explicit, individual-based model of a plant community to study the microevolutionary processes happening after habitat loss and climate change, and potentially contributing to the settlement of a debt. I showed that population demographic recovery through trait adaptation, i.e. evolutionary rescue, is possible. In these cases, rather than directional selection, trait change involved increase in trait variation, which I interpreted as a sign of disruptive selection. Moreover, I disentangled evolutionary rescue from demographic rescue and show that the two types of rescue were equally important for community resistance, indicating that community re-assembly plays an important role in maintaining diversity following disturbance. The results demonstrated the importance of accounting for eco-evolutionary processes at the community level to understand and predict biodiversity change. Furthermore, they indicate that evolutionary rescue has a limited potential to avoid extinctions under scenarios of habitat loss and climate change. In chapter 4, I analysed the effects of habitat loss and disruption of pollination function on the extinction dynamics of plant communities. To do it, I used an individual, trait-based eco-evolutionary model (Extinction Dynamics Model, EDM) parameterized according to real-world species of calcareous grasslands. Specifically, I compared the effects of these disturbances on the magnitude of extinction debts and species extinction times, as well as how species functional traits affect species survival. I showed that the loss of habitat area generates higher number of immediate extinctions, but the loss of pollination generates higher extinction debt, as species take longer to go extinct. Moreover, reproductive traits (clonal ability, absence of selfing and insect pollination) were the traits that most influenced the occurrence of species extinction as payment of the debt. Thus, the disruption of pollination functions arose as a major factor in the creation of extinction debts. Thus, restoration policies should aim at monitoring the status of this and other ecological processes and functions in undisturbed systems, to inform its re-establishment in disturbed areas. Finally, I discuss the implications of these findings to i) the theoretical understanding of extinction debts, notably via the niche, coexistence, and metabolic theories, ii) the planning conservation measures, including communicating the very notion of extinction debts to improve understanding of the dimension of the current biodiversity crisis, and iii) future research, which must improve the understanding of the interplay between extinction cascades and extinction debts.},
  subject      = {Aussterbedynamik},
  language  = {en}
}
@phdthesis{Lewerentz2022,
  author    = {Lewerentz, Anne F.},
  title     = {Spatiotemporal dynamics of freshwater macrophytes in Bavarian lakes under environmental change},
  doi       = {10.25972/OPUS-28770},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-287700},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Macrophytes are key components of freshwater ecosystems because they provide habitat, food, and improve the water quality. Macrophyte are vulnerable to environmental change as their physiological processes depend on changing environmental factors, which themselves vary within a geographical region and along lake depth. Their spatial distribution is not well understood and their importance is publicly little-known. In this thesis, I have investigated the spatiotemporal dynamics of freshwater macrophytes in Bavarian lakes to understand their diversity pattern along different scales and to predict and communicate potential consequences of global change on their richness. In the introduction (Chapter 1), I provide an overview of the current scientific knowledge of the species richness patterns of macrophytes in freshwater lakes, the influences of climate and land-use change on macrophyte growth, and different modelling approaches of macrophytes. The main part of the thesis starts with a study about submerged and emergent macrophyte species richness in natural and artificial lakes of Bavaria (Chapter 2). By analysing publicly available monitoring data, I have found a higher species richness of submerged macrophytes in natural lakes than in artificial lakes. Furthermore, I showed that the richness of submerged species is better explained by physio-chemical lake parameters than the richness of emergent species. In Chapter 3, I considered that submerged macrophytes grow along a depth gradient that provides a sharp environmental gradient on a short spatial scale. This study is the first comparative assessment of the depth diversity gradient (DDG) of macrophytes. I have found a hump-shaped pattern of different diversity components. Generalised additive mixed-effect models indicate that the shape of the DDG is influenced mainly by light quality, light quantity, layering depth, and lake area. I could not identify a general trend of the DDG within recent years, but single lakes show trends leading into different directions. In Chapter 4, I used a mechanistic eco-physiological model to explore changes in the distribution of macrophyte species richness under different scenarios of environmental conditions across lakes and with depths. I could replicate the hump-shaped pattern of potential species richness along depth. Rising temperature leads to increased species richness in all lake types, and depths. The effect of turbidity and nutrient change depends on depth and lake type. Traits that characterise "loser species" under increased turbidity and nutrients are a high light consumption and a high sensibility to disturbances. "Winner species" can be identified by a high biomass production. In Chapter 5, I discuss the image problem of macrophytes. Unawareness, ignorance, and the poor accessibility of macrophytes can lead to conflicts of use. I assumed that an increased engagement and education could counteract this. Because computer games can transfer knowledge interactively while creating an immersive experience, I present in the chapter an interactive single-player game for children. Finally, I discuss the findings of this thesis in the light of their implications for ecological theory, their implications for conservation, and future research ideas (Chapter 6). The findings help to understand the regional distribution and the drivers of macrophyte species richness. By applying eco-physiological models, multiple environmental shaping factors for species richness were tested and scenarios of climate and land-use change were explored.},
  subject      = {{\"O}kologie},
  language  = {en}
}
@phdthesis{Isasa2024,
  author    = {Isasa, Emilie},
  title     = {Relationship between wood properties, drought-induced embolism and environmental preferences across temperate diffuse-porous broadleaved trees},
  doi       = {10.25972/OPUS-30356},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-303562},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {In the scope of climate warming and the increase in frequency and intensity of severe heat waves in Central Europe, identification of temperate tree species that are suited to cope with these environmental changes is gaining increasing importance. A number of tree physiological characteristics are associated with drought-stress resistance and survival following severe heat, but recent studies have shown the importance of plant hydraulic and anatomical traits for predicting drought-induced tree mortality, such as vessel diameter, and their potential to predict species distribution in a changing climate. A compilation of large global datasets is required to determine traits related to drought-induced embolism and test whether embolism resistance can be determined solely by anatomical traits. However, most measurements of plant hydraulic traits are labour-intense and prone to measurement artefacts. A fast, accurate and widely applicable technique is necessary for estimating xylem embolism resistance (e.g., water potential at 50\% loss of conductivity, P50), in order to improve forecasts of future forest changes. These traits and their combination must have evolved following the selective pressure of the environmental conditions in which each species occurs. Describing these environmental-trait relationships can be useful to assess potential responses to environmental change and mitigation strategies for tree species, as future warmer temperatures may be compounded by drier conditions.},
  subject      = {Pflanzen{\"o}kologie},
  language  = {en}
}