Nutrient retention is governed by the interplay between physical processes that control the throughput of water and materials (i.e., water residence time), and by biological processes that govern transformation and uptake (e.g., microbial denitrification). A partial breach of the dam located on Kimages Creek (VA) re-established the historical (pre-1920) connection to the James River and provided a well-defined channel to gauge tidal exchange. We quantified tidal exchange as well as non-tidal (watershed) inputs on a monthly basis to assess Nitrogen (N) retention. Water and N fluxes were dominated by tidal exchange which was typically three times greater than inputs from the upper watershed. Exchange volumes varied by 20-fold in response to seasonal variation in water elevation of the James River Estuary. Comparison of input and output fluxes suggest that the tidal segment of Kimages Creek acted as a source of dissolved inorganic N in the winter and a N sink in other months. Seasonal variation in N retention was significantly related to water temperature and estimates of ecosystem metabolism derived from diel dissolved oxygen data.

No description available.

abstract: Dissolved organic matter (DOM) is an important part of aquatic foodwebs because it contains carbon, nitrogen, and other elements required by heterotrophic organisms. It has many sources that determine its molecular composition, nutrient content, and biological lability and in turn, influence whether it is retained and processed in the stream reach or exported downstream. I examined the composition of DOM from vascular wetland plants, filamentous algae, and riparian tree leaf litter in Sonoran Desert streams and its decomposition by stream microbes. I used a combination of field observations, in-situ experiments, and a manipulative laboratory incubation to test (1) how dominant primary producers influence DOM chemical composition and ecosystem metabolism at the reach scale and (2) how DOM composition and nitrogen (N) content control microbial decomposition and stream uptake of DOM. I found that differences in streamwater DOM composition between two distinct reaches of Sycamore Creek did not affect in-situ stream respiration and gross primary production rates. Stream sediment microbial respiration rates did not differ significantly when incubated in the laboratory with DOM from wetland plants, algae, and leaf litter, thus all sources were similarly labile. However, whole-stream uptake of DOM increased from leaf to algal to wetland plant leachate. Desert streams have the potential to process DOM from leaf, wetland, and algal sources, though algal and wetland DOM, due to their more labile composition, can be more readily retained and mineralized. / Dissertation/Thesis / Masters Thesis Biology 2018

<p>As the human population continues to increase, the effects of land use change on streams and their watersheds will be one of the central problems facing humanity, as we strive to find ways to preserve important ecosystem services, such as drinking water, irrigation, and wastewater processing. This dissertation explores the effects of land use change on watershed nitrate concentrations, and on several biogeochemical ecosystem functions in streams, including nitrate uptake, ecosystem metabolism, and heterotrophic carbon processing. </p><p>In a literature synthesis, I was able to conclude that nitrate concentrations in streams in forested watersheds tend to be correlated with soil solution and shallow groundwater nitrate concentrations in those watersheds. Watershed disturbances, such as ice storms or clear-cutting, did not alter this relationship. However both urban and agricultural land use change increased the nitrate concentrations in streams, soil solution, and groundwater, and altered the correlation between them, increasing the slope and intercept of the regression line. I conclude that although the correlation between these concentrations allows for predictions to be made, further research is needed to better understand the importance of dilution, removal, and transformation along the flowpaths from uplands to streams.</p><p>From a multi-site comparison of forested, urban, and urban restored streams, I demonstrated that ecosystem functions like nitrate uptake and ecosystem metabolism do not change in a linear unidirectional way with increasing urbanization. I also showed that Natural Channel Design stream restoration as practiced at my study sites had no net effect on ecosystem function, except those effects that came from clearing the riparian vegetation for restoration construction. This study suggested further consideration is needed of the ecosystem effects of stream restoration as it was practiced at these sites. It also suggested that more study was needed of the effects of urbanization on ecosystem metabolism and heterotrophic processes in streams.</p><p>In a 16-month study of ecosystem metabolism at four sites along an urbanization gradient, I demonstrated that ecosystem metabolism in urban streams may be controlled by multiple separate effects of urbanization, including eutrophication, light, temperature, hydrology, and geomorphology. One site, with high nutrients, high light, and stable substrate for periphyton growth but flashy hydrology, demonstrated a boom-bust cycle of gross primary production. At another site, high benthic organic matter standing stocks combined with low velocities and high depths to create hypoxic conditions when temperature increased. I propose a new conceptual framework representing different trajectories of these effects based on the balance of increases in scour, thermal energy and light, eutrophication, and carbon loading. </p><p>Finally, in a study of 50 watersheds across a landscape urbanization gradient, I show that urbanization is correlated with a decrease in particulate carbon stocks. I suggest that an increase in dissolved organic matter quality may serve to compensate for the loss of particulate carbon as fuel for heterotrophic microbial activity. Although I saw no differences among watershed landuses in microbial activity per gram of sediment, there was a strong increase in the efficiency of microbial activity per unit organic sediment with increasing watershed urbanization. Ultimately, I hope that this research contributes to our understanding of stream ecosystem functions and the way land use change can alter these functions, with the possibility of better environmental management of urban streams in the future.</p> / Dissertation

Diel dissolved oxygen (DO) data were used to characterize seasonal, inter-annual, and longitudinal variation in production and respiration for the James River Estuary. Two computational methods (Bayesian and bookkeeping) were applied to these data to determine whether inferences regarding DO metabolism are sensitive to methodology. Net metabolism was sensitive to methodology as Bayesian results indicated net heterotrophy (production < respiration) while bookkeeping results indicated net autotrophy (production > respiration). Differences in net metabolism among the methods was due to low seasonal variation in respiration using the Bayesian method, whereas bookkeeping results showed a strong correlation between production and respiration. Bayesian results suggest a dependence on allochthonous organic matter (OM) whereas bookkeeping results suggest that metabolism is dependent on autochthonous OM. This study highlights the importance in considering the method used to derive metabolic estimates as it can impact the assessment of trophic status and sources of OM supporting an estuary.

In urban areas, stormwater management ponds (SWPs) are built to mitigate polluted runoff. Although these ponds are increasing in numbers, their ecology is not well understood. Physical and chemical characteristics of 17 SWPs in the City of Ottawa were measured to determine the drivers of phytoplankton biomass (Chl. a) and primary production (PP). While total phosphorus was the best predictor of algal biomass in the ponds (as in lakes), the imperviousness of the catchment could also predict Chl. a. Planktonic PP in two ponds measured seasonally was more closely related to water residence time than to nutrient concentrations with rates approaching at times the theoretical maximum for aquatic systems. In one pond, whole ecosystem metabolism, estimated using diel changes in dissolved oxygen and δ18O-O2, suggested that these hypereutrophic systems were net sinks for carbon in the summer but likely sources to the atmosphere at other times of the year.

In urban areas, stormwater management ponds (SWPs) are built to mitigate polluted runoff. Although these ponds are increasing in numbers, their ecology is not well understood. Physical and chemical characteristics of 17 SWPs in the City of Ottawa were measured to determine the drivers of phytoplankton biomass (Chl. a) and primary production (PP). While total phosphorus was the best predictor of algal biomass in the ponds (as in lakes), the imperviousness of the catchment could also predict Chl. a. Planktonic PP in two ponds measured seasonally was more closely related to water residence time than to nutrient concentrations with rates approaching at times the theoretical maximum for aquatic systems. In one pond, whole ecosystem metabolism, estimated using diel changes in dissolved oxygen and δ18O-O2, suggested that these hypereutrophic systems were net sinks for carbon in the summer but likely sources to the atmosphere at other times of the year.

In urban areas, stormwater management ponds (SWPs) are built to mitigate polluted runoff. Although these ponds are increasing in numbers, their ecology is not well understood. Physical and chemical characteristics of 17 SWPs in the City of Ottawa were measured to determine the drivers of phytoplankton biomass (Chl. a) and primary production (PP). While total phosphorus was the best predictor of algal biomass in the ponds (as in lakes), the imperviousness of the catchment could also predict Chl. a. Planktonic PP in two ponds measured seasonally was more closely related to water residence time than to nutrient concentrations with rates approaching at times the theoretical maximum for aquatic systems. In one pond, whole ecosystem metabolism, estimated using diel changes in dissolved oxygen and δ18O-O2, suggested that these hypereutrophic systems were net sinks for carbon in the summer but likely sources to the atmosphere at other times of the year.

Spatial heterogeneity in ecosystem metabolism may play a critical role in determining ecosystem functions. Variation in ecosystem metabolism between macrophyte patches in shallow wetlands at the extremes of freshwater habitats has not been investigated. We estimated ecosystem metabolism in mesocosms containing different macrophytes using 24-hour oxygen curves to test our hypotheses: (1) net aquatic production (NAP) during spring and summer would be similar among algal patches (metaphyton and Chara), (2) NAP in algal patches would be greater than patches dominated by the vascular plant Potamogeton foliosus, (3) heterotrophy and anaerobiosis would be greatest in patches dominated by Lemna, and (4) the pond would be autotrophic in the spring and fall but heterotrophic in the summer. We found that different patches generated differences in NAP but not always as we predicted. NAP was different among algal patches in the spring and summer, and only metaphyton was more heterotrophic than P. foliosus. In the summer Chara and Lemna patches were heterotrophic and metaphyton became autotrophic. As predicted, the pond was net autotrophic in the spring and heterotrophic in the summer with an absence of patchiness in fall attributed to the dominance of Lemna. This research suggests the importance of macrophyte patchiness in wetlands in determining patterns of ecosystem metabolism despite challenges in measuring 24 hour oxygen curves (e.g. oxygen supersaturation). Consequently, macrophyte traits may be important in determining spatial heterogeneity of ecosystem metabolism in shallow ponds.

Dans le contexte des nouvelles exigences en termes de qualité des eaux du surface, les modèles hydro-écologiques s'avèrent être des outils indispensables pour compléter notre compréhension du fonctionnement du milieu ou prévoir l'impact sur la qualité de l'eau de nouvelles mesures. L'objectif de cette recherche est de tirer parti de l'outil de modélisation ProSe, et de le faire évaluer afin de compléter la compréhension du fonctionnement biogéochimique de la Seine. Dans une première étape, différents processus biogéochimiques sont implémentés, calibrés et validés indépendamment, grâce à des jeux de données disponibles sur un linéaire de 220 km (de Paris jusqu'à l'estuaire), à différents pas de temps, pour la période 2007-2012. Ces améliorations sont réalisées grâce à l'utilisation directe de résultats expérimentaux, à l'extrapolation de résultats de couplage entre expériences de laboratoire et modélisation biogéochimique, ou encore grâce à l'analyse de mesures haute fréquence in-situ. Le modèle ProSe est ensuite utilisé pour établir un bilan du fonctionnement biogéochimique de la Seine dans cette zone fortement anthropisée. L'effet des processus pélagiques et benthiques sur les différents cycles biogéochimiques (carbone, azote, phosphore) est quantifié, pour différentes conditions hydrologiques, en amont et en aval de la plus grosse station d'épuration de l'agglomération parisienne, qui traite les effluents de plus de 5 millions équivalent habitants. La précision spatio-temporelle du modèle est ensuite utilisée pour évaluer l'effet de la fréquence d'échantillonnage sur l'estimation des critères de qualité de l'eau au sens de la Directive Cadre sur l'Eau. Les résultats soulignent l'importance d'une représentation précise des processus physiques (hydrodynamique et processus hydro-sédimentaires) dans les modèles de qualité de l'eau pour parvenir à une simulation fiable des flux biogéochimiques dans le milieu et des échanges entre compartiment benthique et colonne d'eau. Ce travail illustre enfin toute l'utilité des modèles hydro-écologiques pour venir en appui au suivi du milieu dans le cadre des objectifs actuels d'amélioration de la qualité des milieux aquatiques. / Hydro-ecological models are essential to complete our knowledge of the functioning of aquatic systems. They can moreover be used to forecast the impact of new management strategies on the future water quality. The aim of this thesis is to use the hydro-ecological ProSe model to improve our understanding of the biogeochemical functioning of the Seine River downstream the Paris urban area. Simulated biogeochemical processes are first implemented, calibrated, and validated independently for the 2007-2012 period. For each one of these processes, appropriate methodologies are used. These methodologies include the direct use of experimentally obtained parameters, the upscaling of results from coupled laboratory experiments and stand-alone biogeochemical modelling, or the analysis of high frequency in-situ measurements. Different datasets, which are available at various time steps, allow the validation of these processes along the whole 220 km simulated stretch (from Paris to the entrance of the Seine River estuary). Once validated, the ProSe model is then used to assess the biogeochemical functioning of the Seine River along this highly anthropized stretch. The impact of pelagic and benthic processes on the different biogeochemical cycles (carbon, nitrogen, and phosphorus) is quantified for different hydrological conditions, up- and downstream the major waste water treatment plant of the Paris urban area, which treats the effluents of over 5 million population equivalent. The model is then used to assess the effect of the monitoring frequency on the estimation of the water quality as defined by the European Water Framework Directive. The results highlight the importance of a detailed representation of physical processes in hydro-ecological models for a reliable simulation of in-river biogeochemical fluxes and of exchanges at the sediment-water interface. Having in mind the present targets of the improvement of the quality of water bodies, this work illustrates the importance of hydro-ecological modelling as an essential complement to water quality monitoring strategies.