TY - JOUR A1 - Flöder, Sabine A1 - Yong, Joanne A1 - Klauschies, Toni A1 - Gaedke, Ursula A1 - Poprick, Tobias A1 - Brinkhoff, Thorsten A1 - Moorthi, Stefanie T1 - Intraspecific trait variation alters the outcome of competition in freshwater ciliates JF - Ecology and evolution N2 - Trait variation among heterospecific and conspecific organisms may substantially affect community and food web dynamics. While the relevance of competition and feeding traits have been widely studied for different consumer species, studies on intraspecific differences are more scarce, partly owing to difficulties in distinguishing different clones of the same species. Here, we investigate how intraspecific trait variation affects the competition between the freshwater ciliates Euplotes octocarinatus and Coleps hirtus in a nitrogen-limited chemostat system. The ciliates competed for the microalgae Cryptomonas sp. (Cry) and Navicula pelliculosa (Nav), and the bacteria present in the cultures over a period of 33 days. We used monoclonal Euplotes and three different Coleps clones (Col 1, Col 2, and Col 3) in the experiment that could be distinguished by a newly developed rDNA-based molecular assay based on the internal transcribed spacer (ITS) regions. While Euplotes feeds on Cry and on bacteria, the Coleps clones cannot survive on bacteria alone but feed on both Cry and Nav with clone-specific rates. Experimental treatments comprised two-species mixtures of Euplotes and one or all of the three different Coleps clones, respectively. We found intraspecific variation in the traits "selectivity" and "maximum ingestion rate" for the different algae to significantly affect the competitive outcome between the two ciliate species. As Nav quickly escaped top-down control and likely reached a state of low food quality, ciliate competition was strongly determined by the preference of different Coleps clones for Cry as opposed to feeding on Nav. In addition, the ability of Euplotes to use bacteria as an alternative food source strengthened its persistence once Cry was depleted. Hence, trait variation at both trophic levels codetermined the population dynamics and the outcome of species competition. KW - ciliate predators KW - intraspecific trait variation KW - microalgal resource KW - predator trait variation KW - predator-prey systems KW - resource competition Y1 - 2021 U6 - https://doi.org/10.1002/ece3.7828 SN - 2045-7758 VL - 11 IS - 15 SP - 10225 EP - 10243 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Crawford, Michael A1 - Jeltsch, Florian A1 - May, Felix A1 - Grimm, Volker A1 - Schlägel, Ulrike E. T1 - Intraspecific trait variation increases species diversity in a trait-based grassland model JF - Oikos N2 - Intraspecific trait variation (ITV) is thought to play a significant role in community assembly, but the magnitude and direction of its influence are not well understood. Although it may be critical to better explain population persistence, species interactions, and therefore biodiversity patterns, manipulating ITV in experiments is challenging. We therefore incorporated ITV into a trait‐ and individual‐based model of grassland community assembly by adding variation to the plants’ functional traits, which then drive life‐history tradeoffs. Varying the amount of ITV in the simulation, we examine its influence on pairwise‐coexistence and then on the species diversity in communities of different initial sizes. We find that ITV increases the ability of the weakest species to invade most, but that this effect does not scale to the community level, where the primary effect of ITV is to increase the persistence and abundance of the competitively‐average species. Diversity of the initial community is also of critical importance in determining ITV's efficacy; above a threshold of interspecific diversity, ITV does not increase diversity further. For communities below this threshold, ITV mainly helps to increase diversity in those communities that would otherwise be low‐diversity. These findings suggest that ITV actively maintains diversity by helping the species on the margins of persistence, but mostly in habitats of relatively low alpha and beta diversity. KW - community assembly KW - individual-based model KW - intraspecific trait variation Y1 - 2018 U6 - https://doi.org/10.1111/oik.05567 SN - 0030-1299 SN - 1600-0706 VL - 128 IS - 3 SP - 441 EP - 455 PB - Wiley CY - Hoboken ER - TY - THES A1 - Crawford, Michael Scott T1 - Using individual-based modeling to understand grassland diversity and resilience in the Anthropocene N2 - The world’s grassland systems are increasingly threatened by anthropogenic change. Susceptible to a variety of different stressors, from land-use intensification to climate change, understanding the mechanisms driving the maintenance of these systems’ biodiversity and stability, and how these mechanisms may shift under human-mediated disturbance, is thus critical for successfully navigating the next century. Within this dissertation, I use an individual-based and spatially-explicit model of grassland community assembly (IBC-grass) to examine several processes, thought key to understanding their biodiversity and stability and how it changes under stress. In the first chapter of my thesis, I examine the conditions under which intraspecific trait variation influences the diversity of simulated grassland communities. In the second and third chapters of my thesis, I shift focus towards understanding how belowground herbivores influence the stability of these grassland systems to either a disturbance that results in increased, stochastic, plant mortality, or eutrophication. Intraspecific trait variation (ITV), or variation in trait values between individuals of the same species, is fundamental to the structure of ecological communities. However, because it has historically been difficult to incorporate into theoretical and statistical models, it has remained largely overlooked in community-level analyses. This reality is quickly shifting, however, as a consensus of research suggests that it may compose a sizeable proportion of the total variation within an ecological community and that it may play a critical role in determining if species coexist. Despite this increasing awareness that ITV matters, there is little consensus of the magnitude and direction of its influence. Therefore, to better understand how ITV changes the assembly of grassland communities, in the first chapter of my thesis, I incorporate it into an established, individual-based grassland community model, simulating both pairwise invasion experiments as well as the assembly of communities with varying initial diversities. By varying the amount of ITV in these species’ functional traits, I examine the magnitude and direction of ITV’s influence on pairwise invasibility and community coexistence. During pairwise invasion, ITV enables the weakest species to more frequently invade the competitively superior species, however, this influence does not generally scale to the community level. Indeed, unless the community has low alpha- and beta- diversity, there will be little effect of ITV in bolstering diversity. In these situations, since the trait axis is sparsely filled, the competitively inferior may suffer less competition and therefore ITV may buffer the persistence and abundance of these species for some time. In the second and third chapters of my thesis, I model how one of the most ubiquitous trophic interactions within grasslands, herbivory belowground, influences their diversity and stability. Until recently, the fundamental difficulty in studying a process within the soil has left belowground herbivory “out of sight, out of mind.” This dilemma presents an opportunity for simulation models to explore how this understudied process may alter community dynamics. In the second chapter of my thesis, I implement belowground herbivory – represented by the weekly removal of plant biomass – into IBC-grass. Then, by introducing a pulse disturbance, modelled as the stochastic mortality of some percentage of the plant community, I observe how the presence of belowground herbivores influences the resistance and recovery of Shannon diversity in these communities. I find that high resource, low diversity, communities are significantly more destabilized by the presence of belowground herbivores after disturbance. Depending on the timing of the disturbance and whether the grassland’s seed bank persists for more than one season, the impact of the disturbance – and subsequently the influence of the herbivores – can be greatly reduced. However, because human-mediated eutrophication increases the amount of resources in the soil, thus pressuring grassland systems, our results suggest that the influence of these herbivores may become more important over time. In the third chapter of my thesis, I delve further into understanding the mechanistic underpinnings of belowground herbivores on the diversity of grasslands by replicating an empirical mesocosm experiment that crosses the presence of herbivores above- and below-ground with eutrophication. I show that while aboveground herbivory, as predicted by theory and frequently observed in experiments, mitigates the impact of eutrophication on species diversity, belowground herbivores counterintuitively reduce biodiversity. Indeed, this influence positively interacts with the eutrophication process, amplifying its negative impact on diversity. I discovered the mechanism underlying this surprising pattern to be that, as the herbivores consume roots, they increase the proportion of root resources to root biomass. Because root competition is often symmetric, herbivory fails to mitigate any asymmetries in the plants’ competitive dynamics. However, since the remaining roots have more abundant access to resources, the plants’ competition shifts aboveground, towards asymmetric competition for light. This leads the community towards a low-diversity state, composed of mostly high-performance, large plant species. We further argue that this pattern will emerge unless the plants’ root competition is asymmetric, in which case, like its counterpart aboveground, belowground herbivory may buffer diversity by reducing this asymmetry between the competitively superior and inferior plants. I conclude my dissertation by discussing the implications of my research on the state of the art in intraspecific trait variation and belowground herbivory, with emphasis on the necessity of more diverse theory development in the study of these fundamental interactions. My results suggest that the influence of these processes on the biodiversity and stability of grassland systems is underappreciated and multidimensional, and must be thoroughly explored if researchers wish to predict how the world’s grasslands will respond to anthropogenic change. Further, should researchers myopically focus on understanding central ecological interactions through only mathematically tractable analyses, they may miss entire suites of potential coexistence mechanisms that can increase the coviability of species, potentially leading to coexistence over ecologically-significant timespans. Individual-based modelling, therefore, with its focus on individual interactions, will prove a critical tool in the coming decades for understanding how local interactions scale to larger contexts, and how these interactions shape ecological communities and further predicting how these systems will change under human-mediated stress. N2 - Grasland ist durch anthropogene Veränderungen bedroht. Im Rahmen dieser Dissertation verwende ich ein individuelles und räumlich-explizites Modell der Grasland-Gemeinschaftsversammlung (IBC-Gras), um verschiedene Prozesse zu untersuchen, die als Schlüssel zum Verständnis ihrer Biodiversität und Stabilität und deren Veränderung unter Stress gelten. Im ersten Kapitel meiner Dissertation untersuche ich die Bedingungen, unter denen eine intraspezifische Merkmalsvariation die Vielfalt der simulierten Graslandgemeinschaften beeinflusst. Im zweiten und dritten Kapitel meiner Dissertation verlege ich den Schwerpunkt auf das Verständnis, wie unterirdische Pflanzenfresser die Stabilität dieser Grünlandsysteme beeinflussen, und zwar entweder durch eine Störung, die zu erhöhter, stochastischer Pflanzensterblichkeit oder Eutrophierung führt. Intraspezifische Merkmalsvariation (ITV) oder Variation der Merkmalswerte zwischen Individuen derselben Art ist für die Struktur ökologischer Gemeinschaften von grundlegender Bedeutung. Da sie sich jedoch historisch gesehen nur schwer in theoretische und statistische Modelle einbauen lässt, wurde sie bei Analysen auf Gemeindeebene weitgehend übersehen. Diese Realität ändert sich jedoch schnell, da ein Forschungskonsens darauf hindeutet, dass sie einen beträchtlichen Anteil der Gesamtvariation innerhalb einer ökologischen Gemeinschaft ausmachen kann und dass sie eine entscheidende Rolle bei der Bestimmung der Koexistenz von Arten spielen kann. Trotz dieses zunehmenden Bewusstseins, dass das ITV von Bedeutung ist, gibt es kaum einen Konsens über das Ausmaß und die Richtung seines Einflusses. Um besser zu verstehen, wie ITV die Zusammensetzung von Grünlandgesellschaften verändert, beziehe ich daher im ersten Kapitel meiner Dissertation diese in ein etabliertes, auf dem Individuum basierendes Modell der Grünlandgesellschaften ein. Indem ich die Menge an ITV in den funktionellen Merkmalen dieser Arten variiere, untersuche ich das Ausmaß und die Richtung des Einflusses von ITV auf die paarweise Unsichtbarkeit und die Koexistenz von Gemeinschaften. Im zweiten und dritten Kapitel meiner Dissertation modelliere ich, wie eine der allgegenwärtigsten trophischen Interaktionen innerhalb von Grasland, die Pflanzenfresserei unter der Erde, deren Vielfalt und Stabilität beeinflusst. Bis vor kurzem hat die grundlegende Schwierigkeit, einen Prozess im Boden zu untersuchen, dazu geführt, dass Pflanzenfresser unter der Erde "aus den Augen, aus dem Sinn" geraten sind. Dieses Dilemma bietet eine Gelegenheit für Simulationsmodelle zu erforschen, wie dieser noch nicht untersuchte Prozess die Dynamik von Gemeinschaften verändern kann. Im zweiten Kapitel meiner Dissertation implementiere ich unterirdische Pflanzenfresserei - repräsentiert durch die wöchentliche Entfernung von pflanzlicher Biomasse - in IBC-Gras. Dann beobachte ich durch die Einführung einer Pulsstörung, die als stochastische Mortalität eines gewissen Prozentsatzes der Pflanzengemeinschaft modelliert wird, wie die Anwesenheit von unterirdischen Pflanzenfressern die Resistenz und Erholung der Shannon-Diversität in diesen Gemeinschaften beeinflusst. Ich stelle fest, dass Gemeinschaften mit hohen Ressourcen und geringer Diversität durch die Anwesenheit von unterirdischen Pflanzenfressern nach einer Störung wesentlich stärker destabilisiert werden. Abhängig vom Zeitpunkt der Störung und davon, ob die Saatgutbank des Graslandes länger als eine Saison besteht, können die Auswirkungen der Störung - und damit der Einfluss der Pflanzenfresser - stark reduziert werden. Im dritten Kapitel meiner Dissertation vertiefe ich das Verständnis der mechanistischen Grundlagen der unterirdischen Herbivoren für die Diversität von Grasland, indem ich ein empirisches Mesokosmos-Experiment repliziere, das die Anwesenheit von Herbivoren über- und unterirdisch mit Eutrophierung kreuzt. Ich zeige, dass, während oberirdische Pflanzenfresser, wie von der Theorie vorhergesagt und häufig in Experimenten beobachtet, die Auswirkungen der Eutrophierung auf die Artenvielfalt abschwächen, unterirdische Pflanzenfresser die Artenvielfalt kontraintuitiv reduzieren. Tatsächlich interagiert dieser Einfluss positiv mit dem Eutrophierungsprozess und verstärkt seine negativen Auswirkungen auf die Vielfalt. Ich schließe meine Dissertation mit einer Erörterung der Auswirkungen meiner Forschung auf den Stand der Technik bei der Variation intraspezifischer Merkmale und der unterirdischen Pflanzenfresserei, wobei der Schwerpunkt auf der Notwendigkeit einer vielfältigeren Theorieentwicklung bei der Untersuchung dieser grundlegenden Wechselwirkungen liegt. Meine Ergebnisse deuten darauf hin, dass der Einfluss dieser Prozesse auf die biologische Vielfalt und Stabilität von Graslandsystemen unterschätzt wird und mehrdimensional ist und gründlich erforscht werden muss, wenn Forscher vorhersagen wollen, wie die Grasländer der Welt auf anthropogene Veränderungen reagieren werden. Sollten sich Forscherinnen und Forscher darüber hinaus myopisch darauf konzentrieren, zentrale ökologische Wechselwirkungen nur durch mathematisch nachvollziehbare Analysen zu verstehen, könnten sie ganze Suiten potenzieller Koexistenzmechanismen übersehen, die die Begehrlichkeit von Arten erhöhen können und möglicherweise zu einer Koexistenz über ökologisch signifikante Zeitspannen hinweg führen. Daher wird sich die individuenbasierte Modellierung mit ihrem Schwerpunkt auf individuellen Interaktionen in den kommenden Jahrzehnten als ein entscheidendes Instrument erweisen, um zu verstehen, wie lokale Interaktionen sich auf größere Zusammenhänge ausdehnen und wie diese Interaktionen ökologische Gemeinschaften formen, und um weiter vorherzusagen, wie sich diese Systeme unter vom Menschen verursachtem Stress verändern werden. T2 - Einsatz von individualbasierten Modellen zum Verständnis der Grasland-Diversität und -Resilienz im Anthropozän KW - intraspecific trait variation KW - eutrophication KW - belowground herbivory KW - grassland KW - ecological modelling KW - intraspezifische Merkmalsvariation KW - Eutrophierung KW - Grasland KW - ökologische Modellierung KW - unterirdische Pflanzenfresser Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-479414 ER - TY - GEN A1 - Jeltsch, Florian A1 - Grimm, Volker A1 - Reeg, Jette A1 - Schlägel, Ulrike E. T1 - Give chance a chance BT - from coexistence to coviability in biodiversity theory T2 - Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe N2 - A large part of biodiversity theory is driven by the basic question of what allows species to coexist in spite of a confined number of niches. A substantial theoretical background to this question is provided by modern coexistence theory (MCT), which rests on mathematical approaches of invasion analysis to categorize underlying mechanisms into factors that reduce either niche overlap (stabilizing mechanisms) or the average fitness differences of species (equalizing mechanisms). While MCT has inspired biodiversity theory in the search for these underlying mechanisms, we feel that the strong focus on coexistence causes a bias toward the most abundant species and neglects the plethora of species that are less abundant and often show high local turnover. Given the more stochastic nature of their occurrence, we advocate a complementary cross-level approach that links individuals, small populations, and communities and explicitly takes into account (1) a more complete inclusion of environmental and demographic stochasticity affecting small populations, (2) intraspecific trait variation and behavioral plasticity, and (3) local heterogeneities, interactions, and feedbacks. Focusing on mechanisms that drive the temporary coviability of species rather than infinite coexistence, we suggest a new approach that could be dubbed coviability analysis (CVA). From a modeling perspective, CVA builds on the merged approaches of individual-based modeling and population viability analysis but extends them to the community level. From an empirical viewpoint, CVA calls for a stronger integration of spatiotemporal data on variability and noise, changing drivers, and interactions at the level of individuals. The resulting large volumes of data from multiple sources could be strongly supported by novel techniques tailored to the discovery of complex patterns in high-dimensional data. By complementing MCT through a stronger focus on the coviability of less common species, this approach can help make modern biodiversity theory more comprehensive, predictive, and relevant for applications. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 742 KW - behavioral plasticity KW - biodiversity KW - coexistence KW - community theory KW - coviability analysis KW - demographic noise KW - environmental noise KW - heterogeneity KW - individual-based modeling KW - intraspecific trait variation KW - modern coexistence theory KW - population viability analysis Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-435320 SN - 1866-8372 IS - 742 ER - TY - JOUR A1 - Jeltsch, Florian A1 - Grimm, Volker A1 - Reeg, Jette A1 - Schlägel, Ulrike E. T1 - Give chance a chance BT - from coexistence to coviability in biodiversity theory JF - Ecosphere N2 - A large part of biodiversity theory is driven by the basic question of what allows species to coexist in spite of a confined number of niches. A substantial theoretical background to this question is provided by modern coexistence theory (MCT), which rests on mathematical approaches of invasion analysis to categorize underlying mechanisms into factors that reduce either niche overlap (stabilizing mechanisms) or the average fitness differences of species (equalizing mechanisms). While MCT has inspired biodiversity theory in the search for these underlying mechanisms, we feel that the strong focus on coexistence causes a bias toward the most abundant species and neglects the plethora of species that are less abundant and often show high local turnover. Given the more stochastic nature of their occurrence, we advocate a complementary cross-level approach that links individuals, small populations, and communities and explicitly takes into account (1) a more complete inclusion of environmental and demographic stochasticity affecting small populations, (2) intraspecific trait variation and behavioral plasticity, and (3) local heterogeneities, interactions, and feedbacks. Focusing on mechanisms that drive the temporary coviability of species rather than infinite coexistence, we suggest a new approach that could be dubbed coviability analysis (CVA). From a modeling perspective, CVA builds on the merged approaches of individual-based modeling and population viability analysis but extends them to the community level. From an empirical viewpoint, CVA calls for a stronger integration of spatiotemporal data on variability and noise, changing drivers, and interactions at the level of individuals. The resulting large volumes of data from multiple sources could be strongly supported by novel techniques tailored to the discovery of complex patterns in high-dimensional data. By complementing MCT through a stronger focus on the coviability of less common species, this approach can help make modern biodiversity theory more comprehensive, predictive, and relevant for applications. KW - behavioral plasticity KW - biodiversity KW - coexistence KW - community theory KW - coviability analysis KW - demographic noise KW - environmental noise KW - heterogeneity KW - individual-based modeling KW - intraspecific trait variation KW - modern coexistence theory KW - population viability analysis Y1 - 2019 U6 - https://doi.org/10.1002/ecs2.2700 SN - 2150-8925 VL - 10 IS - 5 PB - ESA CY - Ithaca, NY ER -