TY - JOUR A1 - Bolius, Sarah A1 - Wiedner, Claudia A1 - Weithoff, Guntram T1 - High local trait variability in a globally invasive cyanobacterium JF - Freshwater biology N2 - 1. During the last couple of decades, invasive species have become a worldwide problem in many freshwater systems. Besides higher plants and animals, microbes, in particular the potentially toxic cyanobacterium Cylindrospermopsis raciborskii, has attracted increasing attention, due to its spread towards temperate zones of the northern and southern hemisphere. A number of advantageous functional traits and a high intraspecific plasticity have been suggested to explain its invasion success. 2. The aim of this study was to examine intraspecific functional trait variability in 12 different isolates of C.raciborskii originating from different lakes in an invaded region in Northeast Germany. We measured growth rate, C:N:P ratios, chlorophyll-a content and the abundance of heterocysts under nutrient-replete and phosphorus-limited conditions. Moreover, the isolate-specific morphology and grazing losses by an herbivorous rotifer, as a top-down force, were studied. 3. DNA fingerprinting revealed that all isolates were genetically different. C.raciborskii exhibited a large variability in all measured traits among isolates. The C:P, N:P and Chl-a:C ratios differed by a factor of two or more. The trait variability among isolates was higher under nutrient-replete conditions, except for the C:P ratio, which varied most during phosphorus limitation. The susceptibility to grazing, calculated as maximum ingestion rates of the rotifer Brachionus calyciflorus on C.raciborskii, varied most among isolates, but was not related to any of the measured physiological or morphological traits, i.e. no trade-off was found. 4. Ecological and genetic clustering did not match, indicating that the genetic relationship based on DNA fingerprinting did not cover ecological differences. 5. Our results show a high trait variability within locally occurring and partly co-occurring C.raciborskii isolates. No overall trade-offs between the measured functional traits were found. This demonstrates the ecological relevance of linking multiple traits, e.g. competitive and consumptive. Furthermore, this study emphasises the importance of analysing more than one strain of a species, as different strains show different trait values potentially relevant for their invasibility and the field of general trait-based ecology. KW - Cylindrospermopsis raciborskii KW - functional traits KW - genotypes KW - invasion KW - stoichiometry Y1 - 2017 U6 - https://doi.org/10.1111/fwb.13028 SN - 0046-5070 SN - 1365-2427 VL - 62 SP - 1879 EP - 1890 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - De Frenne, Pieter A1 - Baeten, Lander A1 - Graae, Bente J. A1 - Brunet, Jorg A1 - Wulf, Monika A1 - Orczewska, Anna A1 - Kolb, Annette A1 - Jansen, Ivy A1 - Jamoneau, Aurelien A1 - Jacquemyn, Hans A1 - Hermy, Martin A1 - Diekmann, Martin A1 - De Schrijver, An A1 - De Sanctis, Michele A1 - Decocq, Guillaume A1 - Cousins, Sara A. O. A1 - Verheyen, Kris T1 - Interregional variation in the floristic recovery of post-agricultural forests JF - The journal of ecology N2 - 1. Worldwide, the floristic composition of temperate forests bears the imprint of past land use for decades to centuries as forests regrow on agricultural land. Many species, however, display significant interregional variation in their ability to (re)colonize post-agricultural forests. This variation in colonization across regions and the underlying factors remain largely unexplored. 2. We compiled data on 90 species and 812 species x study combinations from 18 studies across Europe that determined species' distribution patterns in ancient (i.e. continuously forested since the first available land use maps) and post-agricultural forests. The recovery rate (RR) of species in each landscape was quantified as the log-response ratio of the percentage occurrence in post-agricultural over ancient forest and related to the species-specific life-history traits and local (soil characteristics and light availability) and regional factors (landscape properties as habitat availability, time available for colonization, and climate). 3. For the herb species, we demonstrate a strong (interactive) effect of species' life-history traits and forest habitat availability on the RR of post-agricultural forest. In graminoids, however, none of the investigated variables were significantly related to the RR. 4. The better colonizing species that mainly belonged to the short-lived herbs group showed the largest interregional variability. Their recovery significantly increased with the amount of forest habitat within the landscape, whereas, surprisingly, the time available for colonization, climate, soil characteristics and light availability had no effect. 5. Synthesis. By analysing 18 independent studies across Europe, we clearly showed for the first time on a continental scale that the recovery of short-lived forest herbs increased with the forest habitat availability in the landscape. Small perennial forest herbs, however, were generally unsuccessful in colonizing post-agricultural forest even in relatively densely forested landscapes. Hence, our results stress the need to avoid ancient forest clearance to preserve the typical woodland flora. KW - ancient forest KW - colonization capacity KW - forest herbs KW - functional traits KW - habitat fragmentation KW - habitat loss KW - life-history traits KW - meta-analysis KW - plant population and community dynamics KW - secondary succession Y1 - 2011 U6 - https://doi.org/10.1111/j.1365-2745.2010.01768.x SN - 0022-0477 VL - 99 IS - 2 SP - 600 EP - 609 PB - Wiley-Blackwell CY - Malden ER - TY - JOUR A1 - Eccard, Jana A1 - Mendes Ferreira, Clara A1 - Peredo Arce, Andres A1 - Dammhahn, Melanie T1 - Top-down effects of foraging decisions on local, landscape and regional biodiversity of resources (DivGUD) JF - Ecology letters N2 - Foraging by consumers acts as a biotic filtering mechanism for biodiversity at the trophic level of resources. Variation in foraging behaviour has cascading effects on abundance, diversity, and functional trait composition of the community of resource species. Here we propose diversity at giving-up density (DivGUD), i.e. when foragers quit exploiting a patch, as a novel concept and simple measure quantifying cascading effects at multiple spatial scales. In experimental landscapes with an assemblage of plant seeds, patch residency of wild rodents decreased local alpha-DivGUD (via elevated mortality of species with large seeds) and regional gamma-DivGUD, while dissimilarity among patches in a landscape (beta-DivGUD) increased. By linking theories of adaptive foraging behaviour with community ecology, DivGUD allows to investigate cascading indirect predation effects, e.g. the ecology-of-fear framework, feedbacks between functional trait composition of resource species and consumer communities, and effects of inter-individual differences among foragers on the biodiversity of resource communities. KW - biodiversity KW - cascading effects KW - foraging behaviour KW - functional traits KW - giving-up density KW - landscape of fear KW - optimal foraging KW - patch use Y1 - 2022 U6 - https://doi.org/10.1111/ele.13901 SN - 1461-0248 VL - 25 IS - 1 SP - 3 EP - 16 PB - Wiley-Blackwell CY - Oxford [u.a.] ER - TY - JOUR A1 - Ehrlich, Elias A1 - Becks, Lutz A1 - Gaedke, Ursula T1 - Trait-fitness relationships determine how trade-off shapes affect species coexistence JF - Ecology : a publication of the Ecological Society of America N2 - Trade-offs between functional traits are ubiquitous in nature and can promote species coexistence depending on their shape. Classic theory predicts that convex trade-offs facilitate coexistence of specialized species with extreme trait values (extreme species) while concave trade-offs promote species with intermediate trait values (intermediate species). We show here that this prediction becomes insufficient when the traits translate non-linearly into fitness which frequently occurs in nature, e.g., an increasing length of spines reduces grazing losses only up to a certain threshold resulting in a saturating or sigmoid trait-fitness function. We present a novel, general approach to evaluate the effect of different trade-off shapes on species coexistence. We compare the trade-off curve to the invasion boundary of an intermediate species invading the two extreme species. At this boundary, the invasion fitness is zero. Thus, it separates trait combinations where invasion is or is not possible. The invasion boundary is calculated based on measurable trait-fitness relationships. If at least one of these relationships is not linear, the invasion boundary becomes non-linear, implying that convex and concave trade-offs not necessarily lead to different coexistence patterns. Therefore, we suggest a new ecological classification of trade-offs into extreme-favoring and intermediate-favoring which differs from a purely mathematical description of their shape. We apply our approach to a well-established model of an empirical predator-prey system with competing prey types facing a trade-off between edibility and half-saturation constant for nutrient uptake. We show that the survival of the intermediate prey depends on the convexity of the trade-off. Overall, our approach provides a general tool to make a priori predictions on the outcome of competition among species facing a common trade-off in dependence of the shape of the trade-off and the shape of the trait-fitness relationships. KW - coexistence KW - competition KW - fitness KW - functional traits KW - invasion boundary KW - neutrality KW - predator-prey model KW - shape KW - trade-offs Y1 - 2017 U6 - https://doi.org/10.1002/ecy.2047 SN - 0012-9658 SN - 1939-9170 VL - 98 SP - 3188 EP - 3198 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Ehrlich, Elias A1 - Gaedke, Ursula T1 - Coupled changes in traits and biomasses cascading through a tritrophic plankton food web JF - Limnology and oceanography N2 - Trait-based approaches have broadened our understanding of how the composition of ecological communities responds to environmental drivers. This research has mainly focussed on abiotic factors and competition determining the community trait distribution, while effects of trophic interactions on trait dynamics, if considered at all, have been studied for two trophic levels at maximum. However, natural food webs are typically at least tritrophic. This enables indirect interactions of traits and biomasses among multiple trophic levels leading to underexplored effects on food web dynamics. Here, we demonstrate the occurrence of mutual trait adjustment among three trophic levels in a natural plankton food web (Lake Constance) and in a corresponding mathematical model. We found highly recurrent seasonal biomass and trait dynamics, where herbivorous zooplankton increased its size, and thus its ability to counter phytoplankton defense, before phytoplankton defense actually increased. This is contrary to predictions from bitrophic systems where counter-defense of the consumer is a reaction to prey defense. In contrast, counter-defense of carnivores by size adjustment followed the defense of herbivores as expected. By combining observations and model simulations, we show how the reversed trait dynamics at the two lower trophic levels result from a "trophic biomass-trait cascade" driven by the carnivores. Trait adjustment between two trophic levels can therefore be altered by biomass or trait changes of adjacent trophic levels. Hence, analyses of only pairwise trait adjustment can be misleading in natural food webs, while multitrophic trait-based approaches capture indirect biomass-trait interactions among multiple trophic levels. KW - community ecology KW - cyclops vicinus KW - dynamics KW - functional traits KW - lake KW - life-cycle KW - natural rotifer KW - phytoplankton KW - trophic cascades KW - zooplankton Y1 - 2020 U6 - https://doi.org/10.1002/lno.11466 SN - 0024-3590 SN - 1939-5590 VL - 65 IS - 10 SP - 2502 EP - 2514 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Ehrlich, Elias A1 - Kath, Nadja Jeanette A1 - Gaedke, Ursula T1 - The shape of a defense-growth trade-off governs seasonal trait dynamics in natural phytoplankton JF - The ISME journal N2 - Theory predicts that trade-offs, quantifying costs of functional trait adjustments, crucially affect community trait adaptation to altered environmental conditions, but empirical verification is scarce. We evaluated trait dynamics (antipredator defense, maximum growth rate, and phosphate affinity) of a lake phytoplankton community in a seasonally changing environment, using literature trait data and 21 years of species-resolved high-frequency biomass measurements. The trait data indicated a concave defense-growth trade-off, promoting fast-growing species with intermediate defense. With seasonally increasing grazing pressure, the community shifted toward higher defense levels at the cost of lower growth rates along the trade-off curve, while phosphate affinity explained some deviations from it. We discuss how low fitness differences of species, inferred from model simulations, in concert with stabilizing mechanisms, e.g., arising from further trait dimensions, may lead to the observed phytoplankton diversity. In conclusion, quantifying trade-offs is key for predictions of community trait adaptation and biodiversity under environmental change. KW - coexistence KW - community ecology KW - diversity KW - evolution KW - fitness KW - functional traits KW - lake KW - maintenance KW - mechanisms KW - plankton Y1 - 2020 U6 - https://doi.org/10.1038/s41396-020-0619-1 SN - 1751-7362 SN - 1751-7370 VL - 14 IS - 6 SP - 1451 EP - 1462 PB - Nature Publishing Group CY - London ER - TY - GEN A1 - Ehrlich, Elias A1 - Kath, Nadja Jeanette A1 - Gaedke, Ursula T1 - The shape of a defense-growth trade-off governs seasonal trait dynamics in natural phytoplankton T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Theory predicts that trade-offs, quantifying costs of functional trait adjustments, crucially affect community trait adaptation to altered environmental conditions, but empirical verification is scarce. We evaluated trait dynamics (antipredator defense, maximum growth rate, and phosphate affinity) of a lake phytoplankton community in a seasonally changing environment, using literature trait data and 21 years of species-resolved high-frequency biomass measurements. The trait data indicated a concave defense-growth trade-off, promoting fast-growing species with intermediate defense. With seasonally increasing grazing pressure, the community shifted toward higher defense levels at the cost of lower growth rates along the trade-off curve, while phosphate affinity explained some deviations from it. We discuss how low fitness differences of species, inferred from model simulations, in concert with stabilizing mechanisms, e.g., arising from further trait dimensions, may lead to the observed phytoplankton diversity. In conclusion, quantifying trade-offs is key for predictions of community trait adaptation and biodiversity under environmental change. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1390 KW - functional traits KW - community ecology KW - evolution KW - lake KW - mechanisms KW - diversity KW - plankton KW - fitness KW - maintenance KW - coexistence Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-513956 SN - 1866-8372 IS - 6 ER - TY - THES A1 - Guislain, Alexis T1 - Eco-physiological consequences of fluctuating light on phytoplankton T1 - Ökophysiologische Konsequenzen von fluktuierendem Licht auf das Phytoplankton N2 - Phytoplankton growth depends not only on the mean intensity but also on the dynamics of the light supply. The nonlinear light-dependency of growth is characterized by a small number of basic parameters: the compensation light intensity PARcompμ, where production and losses are balanced, the growth efficiency at sub-saturating light αµ, and the maximum growth rate at saturating light µmax. In surface mixed layers, phytoplankton may rapidly move between high light intensities and almost darkness. Because of the different frequency distribution of light and/or acclimation processes, the light-dependency of growth may differ between constant and fluctuating light. Very few studies measured growth under fluctuating light at a sufficient number of mean light intensities to estimate the parameters of the growth-irradiance relationship. Hence, the influence of light dynamics on µmax, αµ and PARcompμ are still largely unknown. By extension, accurate modelling predictions of phytoplankton development under fluctuating light exposure remain difficult to make. This PhD thesis does not intend to directly extrapolate few experimental results to aquatic systems – but rather improving the mechanistic understanding of the variation of the light-dependency of growth under light fluctuations and effects on phytoplankton development. In Lake TaiHu and at the Three Gorges Reservoir (China), we incubated phytoplankton communities in bottles placed either at fixed depths or moved vertically through the water column to mimic vertical mixing. Phytoplankton at fixed depths received only the diurnal changes in light (defined as constant light regime), while phytoplankton received rapidly fluctuating light by superimposing the vertical light gradient on the natural sinusoidal diurnal sunlight. The vertically moved samples followed a circular movement with 20 min per revolution, replicating to some extent the full overturn of typical Langmuir cells. Growth, photosynthesis, oxygen production and respiration of communities (at Lake TaiHu) were measured. To complete these investigations, a physiological experiment was performed in the laboratory on a toxic strain of Microcystis aeruginosa (FACBH 1322) incubated under 20 min period fluctuating light. Here, we measured electron transport rates and net oxygen production at a much higher time resolution (single minute timescale). The present PhD thesis provides evidence for substantial effects of fluctuating light on the eco-physiology of phytoplankton. Both experiments performed under semi-natural conditions in Lake TaiHu and at the Three Gorges Reservoir gave similar results. The significant decline in community growth efficiencies αµ under fluctuating light was caused for a great share by different frequency distribution of light intensities that shortened the effective daylength for production. The remaining gap in community αµ was attributed to species-specific photoacclimation mechanisms and to light-dependent respiratory losses. In contrast, community maximal growth rates µmax were similar between incubations at constant and fluctuating light. At daily growth saturating light supply, differences in losses for biosynthesis between the two light regimes were observed. Phytoplankton experiencing constant light suffered photo-inhibition - leading to photosynthesis foregone and additional respiratory costs for photosystems repair. On the contrary, intermittent exposure to low and high light intensities prevented photo-inhibition of mixed algae but forced them to develop alternative light strategy. They better harvested and exploited surface irradiance by enhancing their photosynthesis. In the laboratory, we showed that Microcystis aeruginosa increased its oxygen consumption by dark respiration in the light few minutes only after exposure to increasing light intensities. More, we proved that within a simulated Langmuir cell, the net production at saturating light and the compensation light intensity for production at limiting light are positively related. These results are best explained by an accumulation of photosynthetic products at increasing irradiance and mobilization of these fresh resources by rapid enhancement of dark respiration for maintenance and biosynthesis at decreasing irradiance. At the daily timescale, we showed that the enhancement of photosynthesis at high irradiance for biosynthesis of species increased their maintenance respiratory costs at limiting light. Species-specific growth at saturating light µmax and compensation light intensity for growth PARcompμ of species incubated in Lake TaiHu were positively related. Because of this species-specific physiological tradeoff, species displayed different light affinities to limiting and saturating light - thereby exhibiting a gleaner-opportunist tradeoff. In Lake TaiHu, we showed that inter-specific differences in light acquisition traits (µmax and PARcompμ) allowed coexis¬tence of species on a gradient of constant light while avoiding competitive exclusion. More interestingly we demonstrated for the first time that vertical mixing (inducing fluctuating light supply for phytoplankton) may alter or even reverse the light utilization strategies of species within couple of days. The intra-specific variation in traits under fluctuating light increased the niche space for acclimated species, precluding competitive exclusion. Overall, this PhD thesis contributes to a better understanding of phytoplankton eco-physiology under fluctuating light supply. This work could enhance the quality of predictions of phytoplankton development under certain weather conditions or climate change scenarios. N2 - Das Wachstum von Phytoplankton hängt ab nicht nur von der mittleren Intensität, sondern auch von der Dynamik des verfügbaren Lichts. Die nicht-lineare Lichtabhängigkeit des Wachstums kann durch drei Parameter beschrieben werden: die Kompensationslichtintensität PARcompµ, bei der Bruttoproduktion und Verluste gleich sind, die Wachstumseffizienz bei Lichtlimitation αµ und die maximale Wachstumsrate bei sättigendem Licht µmax. In durchmischten Schichten nahe der Gewässeroberfläche kann das Phytoplankton innerhalb weniger Minuten zwischen Starklicht und nahezu völliger Dunkelheit bewegt werden. Durch die unterschiedliche Häufigkeitsverteilung der Lichtintensitäten und/oder unterschiedliche Anpassungen kann die Lichtabhängigkeit des Wachstums sich bei fluktuierendem Licht von dem bei konstantem Licht unterscheiden. Bislang wurde die Lichtabhängigkeit des Wachstums bei fluktuierendem Licht nur in sehr wenigen Studien für genügend viele Lichtintensitäten gemessen, um die genannten Parameter bestimmen zu können. Entsprechend ist der Einfluss der Lichtdynamik auf die Parameter der Wachstums-Licht-Beziehung noch weitgehend unbekannt. Dies beeinträchtigt auch die Zuverlässigkeit von Modellaussagen zur Phytoplanktondynamik unter Durchmischungsbedingungen. In dieser Dissertation sollen die experimentell gewonnenen Ergebnisse nicht auf ganze Ökosysteme extrapoliert werden; Ziel ist vielmehr ein verbessertes Verständnis der Prozesse, die die Lichtabhängigkeit des Phytoplanktonwachstums unter dynamischen Lichtbedingungen steuern. Hierzu wurden im Tai-See und im Dreischluchten-Stausee (China) Experimente mit Phytoplanktongemeinschaften durchgeführt. Es wurden Proben entweder in konstanten Tiefen exponiert oder mit Liften vertikal zwischen Wasseroberfläche und verschiedenen Tiefen bewegt. Während das Lichtangebot in konstanten Tiefen nur dem Tagesgang der Globalstrahlung folgte (hier als konstantes Licht bezeichnet), war das Phytoplankton in den bewegten Proben zusätzlich raschen Lichtfluktuationen ausgesetzt. Mit der Liftbewegung wurden mittlere Bedingungen in den Außenbahnen von Langmuir-Zellen simuliert, wobei eine Umlaufzeit von 20 Minuten gewählt wurde. Es wurden Wachstum, Photosynthese und (im Tai-See) Respiration gemessen. Zusätzlich wurde in Laborversuchen mit einem toxischen Stamm des Cyanobakteriums Microcystis aeruginosa (FACBH 1322) unter fluktuierendem und konstantem Licht Elektronentransportraten sowie Produktion und Verbrauch von Sauerstoff mit höherer zeitlicher Auflösung (1 min) gemessen. Die Ergebnisse der vorliegenden Dissertation demonstrieren bedeutsame Effekte von Lichtfluktuationen auf die Ökophysiologie von Phytoplankton. Die Experimente unter halb-natürlichen Bedingungen im Tai-See und im Dreischluchten-Stausee zeigten ähnliche Muster. Die Wachstumseffizienz der Gemeinschaften nahm durch fluktuierendes Licht deutlich ab, überwiegend durch die veränderte Häufigkeitsverteilung der Lichtintensitäten, die zu verkürzten effektiven Taglängen führte. Zudem verringerten artspezifische Anpassungsmechanismen und lichtabhängige Verluste durch Respiration die Wachstumseffizienz bei fluktuierendem Licht. Die maximalen Wachstumsraten der Gemeinschaft unterschieden sich hingegen nicht zwischen den Ansätzen mit konstantem und fluktuierendem Licht. Bei Lichtsättigung des Wachstums unterschieden sich die Aufwendungen für die Biosynthese zwischen den beiden Lichtregimen. Unter konstantem Starklicht wurden die Photosynthese gehemmt und die Respiration zur Reparatur der Photosysteme erhöht. Fluktuierendes Licht hingegen vermied Lichthemmung, zwang die vertikal bewegten Algen aber zu alternativen Strategien der Lichtnutzung. Durch eine erhöhte Photosynthesekapazität konnten sie Starklicht nahe der Wasseroberfläche besser nutzen. Microcystis aeruginosa verbrauchte im Labor mehr Sauerstoff durch Respiration bei abnehmenden Lichtintensitäten kurz nach Starklicht. Innerhalb eines Lichtzyklus von 20 min stieg die Kompensationslichtintensität mit steigender Nettoproduktion bei Lichtsättigung. Diese Beobachtungen sind am besten durch eine Anreicherung von Photosyntheseprodukten bei ansteigender Lichtintensität und deren sofortige verstärkte Respiration für Erhaltungsumsatz und Biosynthese bei abnehmender Lichtintensität erklärbar. Im Tagesmittel führte eine verstärkte Photosynthese bei Lichtsättigung zu erhöhter Respiration bei Schwachlicht. Die Kompensationslichtintensitäten dominanter Arten im Tai-See stiegen mit deren artspezifischen maximalen Wachstumsraten. Durch diesen artspezifischen physiologischen Kompromiss unterschieden sich die dominanten Arten im See bezüglich ihrer Lichtoptima. Unterschiedliche Strategien der Lichtnutzung (höhere maximale Wachstumsraten oder niedrigere Lichtansprüche) ermöglichten die Koexistenz verschiedener Arten entlang eines Gradienten der Intensität konstanten Lichts im Tai-See. Durch vertikale Durchmischung änderten sich die Strategien der Lichtnutzung innerhalb weniger Tage komplett. Die unterschiedlichen Anpassungsstrategien an fluktuierendes Licht vergrößerten die ökologischen Nischen der dominanten Arten und verhinderten ihre gegenseitige Verdrängung. Insgesamt trägt diese Dissertation zum besseren Verständnis der Ökophysiologie von Phytoplankton unter Durchmischungsbedingungen bei. Dadurch werden verlässlichere Prognosen der Phytoplanktonentwicklung möglich, kurzzeitig in Kombination mit Wettervorhersagen und über lange Zeiträume durch Kopplung mit Klimaszenarien. KW - Lake TaiHu KW - Three Gorges reservoir KW - functional traits KW - tradeoff KW - fluctuating light KW - pPhytoplankton photoacclimation KW - effective daylength KW - photosynthesis KW - respiration KW - niche partitioning KW - non-equilibrium coexistence KW - TaiHu KW - Dreischluchten-Stausee KW - funktionelle Eigenschaften KW - Zielkonflikte KW - fluktuierendes Licht KW - Lichtanpassung KW - Photosynthese KW - Respiration KW - Nischen-Aufteilung KW - Koexistenz unter wechselnden Bedingungen Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-469272 ER - TY - THES A1 - Kath, Nadja Jeanette T1 - Functional traits determine biomass dynamics, coexistence and energetics in plankton food webs N2 - Plankton food webs are the basis of marine and limnetic ecosystems. Especially aquatic ecosystems of high biodiversity provide important ecosystem services for humankind as providers of food, coastal protection, climate regulation, and tourism. Understanding the dynamics of biomass and coexistence in these food webs is a first step to understanding the ecosystems. It also lays the foundation for the development of management strategies for the maintenance of the marine and freshwater biodiversity despite anthropogenic influences. Natural food webs are highly complex, and thus often equally complex methods are needed to analyse and understand them well. Models can help to do so as they depict simplified parts of reality. In the attempt to get a broader understanding of the complex food webs, diverse methods are used to investigate different questions. In my first project, we compared the energetics of a food chain in two versions of an allometric trophic network model. In particular, we solved the problem of unrealistically high trophic transfer efficiencies (up to 70%) by accounting for both basal respiration and activity respiration, which decreased the trophic transfer efficiency to realistic values of ≤30%. Next in my second project I turned to plankton food webs and especially phytoplankton traits. Investigating a long-term data set from Lake Constance we found evidence for a trade-off between defence and growth rate in this natural phytoplankton community. I continued working with this data set in my third project focusing on ciliates, the main grazer of phytoplankton in spring. Boosted regression trees revealed that temperature and predators have the highest influence on net growth rates of ciliates. We finally investigated in my fourth project a food web model inspired by ciliates to explore the coexistence of plastic competitors and to study the new concept of maladaptive switching, which revealed some drawbacks of plasticity: faster adaptation led to higher maladaptive switching towards undefended phenotypes which reduced autotroph biomass and coexistence and increased consumer biomass. It became obvious that even well-established models should be critically questioned as it is important not to forget reality on the way to a simplistic model. The results showed furthermore that long-term data sets are necessary as they can help to disentangle complex natural processes. Last, one should keep in mind that the interplay between models and experiments/ field data can deliver fruitful insights about our complex world. N2 - Plankton-Nahrungsnetze sind die Grundlage mariner und limnischer Ökosysteme. Besonders die aquatischen Ökosysteme mit hoher Biodiversität erbringen wichtige Ökosystemdienstleistungen für uns Menschen wie beispielsweise die Bereitstellung von Nahrung, Küstenschutz, Klimaregulation sowie Tourismus. Die Dynamiken und die Koexistenz der Arten in diesen Ökosystemen zu verstehen, ist ein erster Schritt für die Entwicklung von Möglichkeiten zum Schutz ihrer Biodiversität. Aufgrund der hohen Komplexität natürlicher Nahrungsnetze braucht es oft ebenso komplexe Methoden um sie zu analysieren und zu verstehen. Modelle können dabei unterstützen, da sie Teile der Realität vereinfacht abbilden. In meiner Dissertation arbeitete ich mit verschiedenen Nahrungsnetzmodellen, um die Dynamiken in Nahrungsnetzen zu verstehen. In meinem ersten Projekt haben wir die Energieflüsse einer Nahrungskette in zwei Versionen eines allometrisch skalierten Nahrungsnetzmodells untersucht. Wenn nur die klassische basale Respiration einbezogen wird, steigt die trophische Transfereffizienz auf bis zu unrealistische 70 %. Durch die Einbeziehung der aktivitätsbezogenen Respiration sank die trophische Transfereffizienz auf realistische Werte von maximal 30 %. Danach wandte ich mich in meinem zweiten Projekt Plankton-Nahrungsnetzen und den Eigenschaften des Phytoplanktons zu. Bei der Untersuchung eines Langzeitdatensatzes von 21 Jahren aus dem Bodensee fanden wir einen Beweis für einen Trade-off zwischen Verteidigung und Wachstumsrate in einer natürlichen Phytoplankton-gemeinschaft. In diesem Datensatz konzentrierte ich mich anschließend in meinem dritten Projket auf Ciliaten, welche die wichtigsten Fraßfeinde von Phytoplankton im Frühjahr darstellen. Die Methode der boosted regression trees zeigte, dass Temperatur und Räuber den größten Einfluss auf die Nettowachstumsraten der Ciliaten haben. Schließlich nutzten wir in meinem vierten Projekt ein von Ciliaten inspiriertes Nahrungsnetzmodell, um die Koexistenz von Konkurrenten mit veränderlichen Eigenschaften und das neue Konzept des maladaptive switching zu untersuchen, welches Nachteile der Plastizität zeigt: höhere Wechselraten zwischen den Phänotypen führten zu höherem maladaptive switching in Richtung der unverteidigten Phänotypen, was die Biomasse und Koexistenz der Autotrophen reduziert und die Biomasse des Konsumenten erhöht. Es wurde offensichtlich, dass auch etablierte Modelle kritisch hinterfragt werden müssen, da es wichtig ist, die Realität auf dem Weg zu einem einfachen Modell nicht zu vergessen. Meine Ergebnisse zeigten des Weiteren, wie wichtig Langzeitdatensätze sind, da sie helfen können, komplexe natürliche Prozesse zu beleuchten. Dieses Wechselspiel zwischen Modellen und Daten aus Experimenten oder Felduntersuchungen kann fruchtbare Ergebnisse liefern und zu einem größeren Verständnis unserer komplexen Welt beitragen. KW - functional traits KW - plankton food web KW - coexistence KW - modelling KW - Modellierung KW - Planktonnahrungsnetz KW - Koexistenz Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-551239 ER - TY - JOUR A1 - Kernecker, Maria A1 - Fienitz, Meike A1 - Nendel, Claas A1 - Paetzig, Marlene A1 - Walzl, Karin Pirhofer A1 - Raatz, Larissa A1 - Schmidt, Martin A1 - Wulf, Monika A1 - Zscheischler, Jana T1 - Transition zones across agricultural field boundaries for integrated landscape research and management of biodiversity and yields JF - Ecological solutions and evidence N2 - Biodiversity conservation and agricultural production have been largely framed as separate goals for landscapes in the discourse on land use. Although there is an increasing tendency to move away from this dichotomy in theory, the tendency is perpetuated by the spatially explicit approaches used in research and management practice. Transition zones (TZ) have previously been defined as areas where two adjacent fields or patches interact, and so they occur abundantly throughout agricultural landscapes. Biodiversity patterns in TZ have been extensively studied, but their relationship to yield patterns and social-ecological dimensions has been largely neglected. Focusing on European, temperate agricultural landscapes, we outline three areas of research and management that together demonstrate how TZ might be used to facilitate an integrated landscape approach: (i) plant and animal species' use and response to boundaries and the resulting effects on yield, for a deeper understanding of how landscape structure shapes quantity and quality of TZ; (ii) local knowledge on field or patch-level management and its interactions with biodiversity and yield in TZ, and (iii) conflict prevention and collaborative management across land-use boundaries. KW - ecotones KW - field boundaries KW - functional traits KW - landscape complexity; KW - land-use conflicts KW - local knowledge KW - spillovers Y1 - 2022 U6 - https://doi.org/10.1002/2688-8319.12122 SN - 2688-8319 VL - 3 IS - 1 PB - Wiley CY - Hoboken ER -