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Cyanobacteria blooms have increased in Lake Champlain due to excessive nutrient loading, resulting in negative impacts on the local economy and environmental health. While climate warming is expected to promote increasingly severe cyanobacteria blooms globally, predicting the impacts of complex climate changes on individual lakes is complicated by the many physical, chemical, and biological processes which mediate nutrient dynamics and cyanobacteria growth across time and space. Furthermore, processes influencing bloom development operate on a variety of temporal scales (hourly, daily, seasonal, decadal, episodic), making it difficult to identify important factors controlling bloom development using traditional methods or coarse temporal resolution datasets. To resolve these inherent problems of scale, I use 4 years of high-frequency biological, hydrodynamic, and biogeochemical data from Missisquoi Bay, Lake Champlain; 23 years of lake-wide monitoring data; and integrated process-based climate-watershed-lake models driven by regional climate projections to answer the following research questions: 1) To what extent do external nutrient inputs or internal nutrient processing control nutrient concentrations and cyanobacteria blooms in Lake Champlain; 2) how do internal and external nutrient inputs interact with meteorological drivers to promote or suppress bloom development; and 3) how is climate change likely to impact these drivers and the risk of cyanobacteria blooms in the future? I find that cyanobacteria blooms are driven by specific combinations of meteorological and biogeochemical conditions in different areas of the lake, and that in the absence of strong management actions cyanobacteria blooms are likely to become more severe in the future due to climate change.

Arctic ecosystems are sensitive to climate change and this biome is experiencing accelerated warming. Climate change in the arctic is projected to further alter precipitation and temperature patterns, which may influence land-water interactions in the future. Such changes have the potential to affect aquatic biofilm communities (i.e., algae, bacteria, and fungi) that form the base of riverine food webs, yet are sensitive to changes in thermal and light regimes, and are potentially limited by macronutrients like carbon (C), nitrogen (N) and phosphorus (P). This study investigated the patterns of resource limitation for autotrophic and heterotrophic biofilms in the Arctic using nutrient diffusing substrata (NDS) in a river network in northern Sweden (Miellajokka). Continuous NDS deployments (March until September) in a birch forest stream were combined with a spatial survey of nutrient limitation in late summer across 20 sites that encompassed a variety of nutrient, light, and temperature combinations. Results show that nutrient limitation of autotrophic processes was common during summer, but also that light inhibited algal growth in early season, and that temperature accelerated rates of activity throughout the growing season. By comparison, heterotrophic processes were less influenced by temperature, unless experimentally supplied with N and P. Alongside persistent N limitation, co-limitation by macronutrients (NP: autotrophic and heterotrophic biofilm, or CNP: heterotrophic biofilm) dominated the overall pattern of limitation over time and space. However, results from the spatial survey suggested that the identity of the primary limiting nutrient can change from N to P, based on differences in chemistry that arise from varying catchment features. As arctic studies are often conducted at individual sites during summer, they may miss shifts in the drivers of stream productivity that arise from variable nutrient, temperature, and light regimes. This study attempted to capture those changes and identify conditions where one might expect to see transitions in the relative importance of physical and chemical factors that limit biofilm development. These results also highlight the challenge of identifying the single most important limiting nutrient (e.g., N versus P) in streams and rivers across the Arctic, as I found that both nutrients could play this role within a single, relatively small drainage system.

abstract: Marine pico-cyanobacteria of the genera Synechococcus and Prochlorococcus carry out nearly two thirds of the primary production in oligotrophic oceans. These cyanobacteria are also considered an important constituent of the biological carbon pump, the photosynthetic fixation of CO2 to dissolved and particulate organic carbon and subsequent export to the ocean’s interior. But single cells of these cyanobacteria are too small to sink, so their carbon export has to be mediated by aggregate formation and/or consumption by zooplankton that produce sinking fecal pellets. In this dissertation, I investigated for the first time the aggregation of these cyanobacteria by studying the marine Synechococcus sp. strain WH8102 as a model organism. I first found in culture experiments that Synechococcus cells aggregated and that such aggregation of cells was related to the production of transparent exopolymeric particles (TEP), known to provide the main matrix of aggregates of eukaryotic phytoplankton. I also found that despite the lowered growth rates, cells in the nitrogen or phosphorus limited cultures had a higher cell-normalized TEP production and formed a greater total volume of aggregates with higher settling velocities compared to cells in the nutrient replete cultures. I further studied the Synechococcus aggregation in roller tanks that allow the simulation of aggregates settling in the water column, and investigated the effects of the clays kaolinite and bentonite that are commonly found in the ocean. In the roller tanks, Synechococcus cells formed aggregates with diameters of up to 1.4 mm and sinking velocities of up to 440 m/d, comparable to those of larger eukaryotic phytoplankton such as diatoms. In addition, the clay minerals increased the number but reduced the size of aggregates, and their ballasting effects increased the sinking velocity and the carbon export potential of the aggregates. Lastly, I investigated the effects of heterotrophic bacteria on the Synechococcus aggregation, and found that heterotrophic bacteria generally resulted in the formation of fewer, but larger and faster sinking aggregates, and eventually led to an enhanced aggregation of cells and particles. My study contributes to the understanding of the role of marine pico-cyanobacteria in the ecology and biogeochemistry of oligotrophic oceans. / Dissertation/Thesis / Doctoral Dissertation Biology 2016

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In the field of marine microbial ecology, many questions remain unanswered with regards to the physiological trade-offs made by phytoplankton to maximize growth (e.g., nutrient acquisition) and minimize loss (e.g., predation defenses). These tradeoffs, which occur at the cellular level, have wide reaching impacts on food web dynamics and global biogeochemical cycles. In the first chapter, we explored the use of a non-canonical amino acid (NCAA) technique, bioorthogonal non-canonical amino-acid tagging (BONCAT), in phytoplankton model systems. This technique has potential to work well in natural systems by enabling isolation of only newly synthesized proteins during an incubation period with the NCAA, reducing the complexity of natural proteomics and easing the elucidation of patterns. However, in testing BONCAT across several groups of cultured phytoplankton, we discovered that the NCAA molecule induced a stress response in the globally ubiquitous marine picocyanobacteria, Synechococcus sp. Therefore, in addition to confirming the uptake of modified amino acids by phytoplankton, chapter one investigated the implications of this stress response and limitations when using this technique to study marine microbial communities. In chapter two, we addressed our initial question by exploring tradeoffs at the protein level in a simplified culture system. This approach revealed insights into metabolic tradeoffs in response to predation pressure and nutrient stress. These insights into how phytoplankton negotiate these physiological tradeoffs at the protein level could ultimately allow for targeted proteomic studies in natural systems.

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