Browsing by Subject "Nitrogen"
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Item Open Access A multilevel model of field-scale nitrogen export from agricultural areas(2010-04-27T00:00:30Z) Jones, PhillipAgricultural lands contribute significant nitrogen loads to surface waters. Excessive nitrogen input leads to eutrophication, the process by which aquatic ecosystems become nutrient rich. Eutrophication is associated with a wide range of undesirable changes, including shifts in physical and chemical states, changes in species composition, and the loss of ecosystem services. In agricultural areas, excessive nutrient loading is addressed through the implementation of Best Management Practices (BMPs). However, field-scale nutrient export is controlled by a complex array of interacting factors that operate at different spatial scales. Multilevel regression is a statistical technique that allows for the exploration of group-level factors that may explain variation in the overall model coefficients. In this study, multilevel regression models for dissolved and particulate nitrogen loading are fit to USDA agricultural data. The results indicate that the impact of management practice depends on the form of nitrogen as well as predictors such as soil texture that operate on large spatial scales. Specific management recommendations include soil nitrogen testing and the use of conservation measures that address water runoff. Management applications of the fitted models include load estimation as part of watershed leveling modeling efforts as well as the evaluation of proposed policy guidelines for nutrient control.Item Open Access Assessing Nutrient Retention of Restored Wetlands in North Carolina(2019-04-25) Bognar, Sebastian; Chen, Siying; Lanier, SarahWetlands are among the most productive and dynamic ecosystems in the world; biogeochemical cycling and storage processes are crucial for nutrient retention in wetland systems. This study aims to test if restored wetlands improve downstream water quality by reducing nutrient concentrations, to determine which variables are important for nutrient retention, and to analyze the temporal trend of wetland nutrient retention. We gathered water quality data from three locations in North Carolina, for a total of 13 restored and constructed wetlands. We compared nitrogen and phosphorous concentrations in the inflow and outflow of each wetland and determined the significance of other categorical and continuous variables. The results of our study can help ascertain the most important variables for choosing potential wetland restoration sites, and lead to a better understanding of how nutrient removal changes over time.Item Open Access Connectivity Drives Function: Carbon and Nitrogen Dynamics in a Floodplain-Aquifer Ecosystem(2012) Appling, Alison PaigeRivers interact with their valleys from headwaters to mouth, but nowhere as dynamically as in their floodplains. Rivers deliver water, sediments, and solutes onto the floodplain land surface, and the land in turn supplies solutes, leaves, and woody debris to the channel. These reciprocal exchanges maintain both aquatic and terrestrial biodiversity and productivity. In this dissertation I examine river-floodplain exchanges on the well-studied Nyack Floodplain, a dynamic, gravel-bedded floodplain along the Middle Fork Flathead River in the mountains of northwest Montana. I quantify exchanges at multiple timescales, from moments to centuries, to better understand how connectivity between aquatic and terrestrial habitats shapes their ecology.
I first address connectivity in the context of a long-standing question in ecosystem ecology: What determines the rate of ecosystem development during primary succession? Rivers have an immediate effect on floodplains when scouring floods remove vegetation and nutrients such as nitrogen (N) and leave only barren soils, but they might also affect the ensuing primary succession through the gradual delivery of N and other materials to floodplain soils. I quantify N inputs to successional floodplain forest soils of the Nyack Floodplain and find that sediment deposition by river flood water is the dominant source of N to soils, with lesser contributions from dissolved N in the river, biological N fixation, and atmospheric deposition. I also synthesize published rates of soil N accumulation in floodplain and non-floodplain primary-successional systems around the world, and I find that western floodplains often accumulate soil N faster than non-floodplain primary successional systems. My results collectively point to the importance of riverine N inputs in accelerating ecosystem development during floodplain primary succession.
I next investigate the role of river-floodplain exchanges in shaping the spatial distribution of a suite of soil properties. Even after flood waters have receded, dissolved N, carbon (C), and moisture could be delivered from the river to floodplain soils via belowground water flow. Alternatively, C inputs and N withdrawals by floodplain vegetation might be a dominant influence on soil properties. To test these hypotheses, I excavated and sampled soil pits from the soil surface to the water table (50-270 cm) under forests, meadows, and gravel bars of the Nyack Floodplain. Near-surface soils had C and N pools and N flux rates that varied predictably with vegetation cover, but soil properties below ~50 cm reflected influence by neither vegetation cover nor aquifer delivery. Instead, soil properties at these depths appear to relate to soil texture, which in turn is structured by the river's erosional and depositional activities. This finding suggests the revised hypothesis that soil properties in gravel-bedded alluvial floodplains may depend more on the decadal-scale geomorphic influences of floods than on short-term vertical interactions with floodplain vegetation or aquifer water.
Lastly, I explore the potential sources of organic C to the diverse and active community of aquatic organisms in the floodplain aquifer, where the lack of light prohibits in-situ organic C production by photosynthesis. I quantify floodplain carbon pools and the fluxes of organic carbon connecting the aquifer, river, and overlying forest. Spring flood waters infiltrating the soil are responsible for the largest dissolved carbon flux into the aquifer, while very large floods are essential for the other major C input, the burial of woody carbon in the aquifer. These findings emphasize the importance of a dynamic river hydrograph - in particular, annual floods and extreme annual floods - in delivering organic C to the aquifer community.
Overall, this dissertation draws our attention not just to the current exchanges of C, N, water, and sediment but to the episodic nature of those exchanges. To fully understand floodplain ecosystems, we have to consider not just present-day interactions but also the legacies of past floods and their roles in delivering solutes, eroding forests, depositing sediments, and physically shaping the floodplain environment.
Item Open Access Contingency in ecosystem but not plant community response to multiple global change factors(New Phytologist, 2012) Bradford, MA; Wood, SA; Maestre, FT; REYNOLDS, JF; Warren, RJCommunity and ecosystem responses to global environmental change are contingent on the magnitude of change and interacting global change factors. To reveal whether responses are also contingent on the magnitude of each interacting factor, multifactor, multilevel experiments are required, but are rarely conducted. We exposed model grassland ecosystems to six levels of atmospheric CO2 and six levels of nitrogen enrichment, applying the latter both chronically (simulating deposition) and acutely (simulating fertilization). The 66 treatments were maintained for 6 months under controlled growing conditions, with biomass harvested every 28 d and sorted to species. Aboveground plant productivity responses to CO2 were contingent on nitrogen amount, and the responses to nitrogen amount were dependent on whether applications were chronic or acute. Specifically, productivity responses to increasing CO2 concentrations were accentuated with higher nitrogen enrichments, and productivity was greater when higher nitrogen enrichments were applied acutely. Plant community composition was influenced only by nitrogen enrichment, where the co-dominant grass species with the greatest leaf trait plasticity increasingly dominated with higher nitrogen amounts. Community processes are considered to be unpredictable, but our data suggest that the prediction of the impacts of simultaneous global changes is more complex for ecosystem processes, given that their responses are contingent on the levels of interacting factors.Item Open Access Differential nutrient limitation of soil microbial biomass and metabolic quotients (qCO2): is there a biological stoichiometry of soil microbes?(PLoS One, 2013) Hartman, Wyatt H; Richardson, Curtis JBACKGROUND: Variation in microbial metabolism poses one of the greatest current uncertainties in models of global carbon cycling, and is particularly poorly understood in soils. Biological Stoichiometry theory describes biochemical mechanisms linking metabolic rates with variation in the elemental composition of cells and organisms, and has been widely observed in animals, plants, and plankton. However, this theory has not been widely tested in microbes, which are considered to have fixed ratios of major elements in soils. METHODOLOGY/ PRINCIPAL FINDINGS: To determine whether Biological Stoichiometry underlies patterns of soil microbial metabolism, we compiled published data on microbial biomass carbon (C), nitrogen (N), and phosphorus (P) pools in soils spanning the global range of climate, vegetation, and land use types. We compared element ratios in microbial biomass pools to the metabolic quotient qCO2 (respiration per unit biomass), where soil C mineralization was simultaneously measured in controlled incubations. Although microbial C, N, and P stoichiometry appeared to follow somewhat constrained allometric relationships at the global scale, we found significant variation in the C∶N∶P ratios of soil microbes across land use and habitat types, and size-dependent scaling of microbial C∶N and C∶P (but not N∶P) ratios. Microbial stoichiometry and metabolic quotients were also weakly correlated as suggested by Biological Stoichiometry theory. Importantly, we found that while soil microbial biomass appeared constrained by soil N availability, microbial metabolic rates (qCO2) were most strongly associated with inorganic P availability. CONCLUSIONS/ SIGNIFICANCE: Our findings appear consistent with the model of cellular metabolism described by Biological Stoichiometry theory, where biomass is limited by N needed to build proteins, but rates of protein synthesis are limited by the high P demands of ribosomes. Incorporation of these physiological processes may improve models of carbon cycling and understanding of the effects of nutrient availability on soil C turnover across terrestrial and wetland habitats.Item Open Access Ecosystem recovery from acid precipitation: Carbon and nitrogen cycling in the soil-stream continuum(2018) Marinos, RichardWhile the problem of acid precipitation has been greatly reduced across the developed world, acid-impaired ecosystems still bear important legacies of historic acid deposition, and these ecosystems are only slowly beginning to recover. Early evidence suggests that this recovery may have multiple unexpected, substantial impacts on ecosystem carbon (C) and nitrogen (N) cycling, including large reductions in soil organic C and N pools and greatly increased export of dissolved organic C to aquatic ecosystems. These losses of soil C and N, driven by ecosystem recovery from acid precipitation, have the potential to dwarf any gains in biomass pools due to enhanced forest growth. The mechanisms driving these changes remain poorly understood, however. In this work, I ask the following questions: a) How does ecosystem recovery from acid precipitation alter soil C and N cycling, and b) what are the consequences of these changes for ecosystem N retention?
A watershed acid remediation experiment, performed at Hubbard Brook, White Mountains National Forest, New Hampshire, offers an opportunity to study now processes of ecosystem recovery from acid precipitation that will take decades to centuries to occur naturally. In this experiment, researchers applied calcium (Ca) silicate to a watershed to restore soil Ca fertility and raise soil pH. This treatment caused a rapid, substantial decrease in soil organic C, and greatly increased streamwater export of inorganic nitrogen. My dissertation examines my research questions through the lens of this experiment.
In the first part of my dissertation (Chapter 2), I examined how changes to soil pH and Ca fertility, individually and together, drive changes in the solubility and respiration of soil C, and how vegetation mediates these effects. I examined this topic through a soil mesocosm experiment in which I modified soil pH and soil Ca status individually and in combination. I found that there was a strong interactive effect between increases in soil pH and the presence of vegetation. Increasing soil pH increased soil respiration and soil C solubility, but only in the presence of sugar maple (Acer saccharum) roots. I also found that Ca fertilization stimulated plant growth, but had no effect on soil C dynamics. This suggests that vegetation and soil microbiota may respond to different aspects of ecosystem recovery from acid precipitation, with vegetation sensitive to changes in soil Ca content and microbiota sensitive to changes in soil pH.
In the second part of my dissertation (Chapter 3), I performed a field-based study to examine how the acid remediation treatment altered soil N cycling. I found that the acid remediation treatment increased both gross N mineralization and N uptake in the leaf litter, causing an accelerated N cycle. This accelerated N cycling resulted in larger inorganic N pools throughout the soil profile. These observed changes in N cycling contrast with earlier studies showing no treatment effect on N cycling rates, and this lag may be coupled to changes in plant community structure.
In the last part of my dissertation (Chapter 4), I examined how these changes in soil N cycling resulted in changes to ecosystem N export, using a combination of re-analysis of long term data sets and intensive stream monitoring. I found that, as a result of the Ca treatment, flushing of inorganic N during storms became a substantially more important mechanism of ecosystem N loss. I found evidence that the flushing of N during stormflow was the result of the mobilization of distal, hydrologically disconnected pools of soil N. This suggests that changes in forest floor N cycling, observed in Chapter 3, were responsible for this response. Finally, I found that in-stream uptake of N was significantly enhanced during baseflow conditions in the Ca-enriched watershed, reducing N export during baseflow.
This dissertation adds new mechanistic insight into the drivers by which ecosystem recovery from acid precipitation will affect C and N cycling. It demonstrates that, while acid precipitation has abated in the developed world, its legacy effects will remain with us for a long while. The changes to ecosystem C and N cycling studied here are concerning from the perspectives of climate change and loading of nutrients to aquatic ecosystems. This suggests the need for further work that couples vegetation dynamics, changes to geochemical properties of soils, and watershed hydrology.
Item Open Access Environmental and genetic determinants of colony morphology in yeast.(PLoS Genet, 2010-01-22) Granek, JA; Magwene, PMNutrient stresses trigger a variety of developmental switches in the budding yeast Saccharomyces cerevisiae. One of the least understood of such responses is the development of complex colony morphology, characterized by intricate, organized, and strain-specific patterns of colony growth and architecture. The genetic bases of this phenotype and the key environmental signals involved in its induction have heretofore remained poorly understood. By surveying multiple strain backgrounds and a large number of growth conditions, we show that limitation for fermentable carbon sources coupled with a rich nitrogen source is the primary trigger for the colony morphology response in budding yeast. Using knockout mutants and transposon-mediated mutagenesis, we demonstrate that two key signaling networks regulating this response are the filamentous growth MAP kinase cascade and the Ras-cAMP-PKA pathway. We further show synergistic epistasis between Rim15, a kinase involved in integration of nutrient signals, and other genes in these pathways. Ploidy, mating-type, and genotype-by-environment interactions also appear to play a role in the controlling colony morphology. Our study highlights the high degree of network reuse in this model eukaryote; yeast use the same core signaling pathways in multiple contexts to integrate information about environmental and physiological states and generate diverse developmental outputs.Item Open Access ESTIMATES OF FACTORS DIRECTLY RELATED TO FINE ROOT LONGEVITY USING A HIERARCHICAL BAYESIAN MODEL(2008-08-29T18:30:31Z) Zhang, SiYaoFine root longevity, measured using minirhizotrons, range from days to years (Hendrick & Pregitzer, 1992; Eissenstat et al., 2000). Although there are several hypotheses that relate to root tissue lifespan (Ryser, 1996), very few long-term studies have examined the factors that may be directly related to survivorship of individual roots. It is known that atmospheric CO2, which is the major greenhouse gas, directly affects plant photosynthesis and water use. As an important plant tissue that acquires water and nutrients, fine roots may limit the forest productivity by limiting plant absorptive capacity under the enriched atmospheric CO2 concentration. Moreover, the turnover time of fine roots, which are the major component of carbon input to the soil carbon pool, may respond to this enriched CO2 effect and thus have impact on belowground carbon balance. Free air CO2 enrichment (FACE) facilities enable research on the effects of elevated atmospheric CO2 concentrations over extended periods of time at ecosystem scale. By using a hierarchical Bayesian model with covariance variable estimates, we were able to identify this CO2 effect as well as several other covariates that correlate with fine root persistence. According to our result, enriched CO2 did not have an immediate effect on fine-root longevity; rather, it increased longevity with time over the 8.2-year study period. Furthermore, fine root longevity increased with soil depth, yet the effects of CO2-enrichment on longevity decreased with increasing depth. Coarser roots and roots grown in plots with higher N-mineralization rate had longer life spans. Nitrogen fertilization enhanced fine-root lifespan only in CO2-enriched plots.Item Open Access Evaluation of 11 terrestrial carbon-nitrogen cycle models against observations from two temperate Free-Air CO2 Enrichment studies.(The New phytologist, 2014-05) Zaehle, Sönke; Medlyn, Belinda E; De Kauwe, Martin G; Walker, Anthony P; Dietze, Michael C; Hickler, Thomas; Luo, Yiqi; Wang, Ying-Ping; El-Masri, Bassil; Thornton, Peter; Jain, Atul; Wang, Shusen; Warlind, David; Weng, Ensheng; Parton, William; Iversen, Colleen M; Gallet-Budynek, Anne; McCarthy, Heather; Finzi, Adrien; Hanson, Paul J; Prentice, I Colin; Oren, Ram; Norby, Richard JWe analysed the responses of 11 ecosystem models to elevated atmospheric [CO2 ] (eCO2 ) at two temperate forest ecosystems (Duke and Oak Ridge National Laboratory (ORNL) Free-Air CO2 Enrichment (FACE) experiments) to test alternative representations of carbon (C)-nitrogen (N) cycle processes. We decomposed the model responses into component processes affecting the response to eCO2 and confronted these with observations from the FACE experiments. Most of the models reproduced the observed initial enhancement of net primary production (NPP) at both sites, but none was able to simulate both the sustained 10-yr enhancement at Duke and the declining response at ORNL: models generally showed signs of progressive N limitation as a result of lower than observed plant N uptake. Nonetheless, many models showed qualitative agreement with observed component processes. The results suggest that improved representation of above-ground-below-ground interactions and better constraints on plant stoichiometry are important for a predictive understanding of eCO2 effects. Improved accuracy of soil organic matter inventories is pivotal to reduce uncertainty in the observed C-N budgets. The two FACE experiments are insufficient to fully constrain terrestrial responses to eCO2 , given the complexity of factors leading to the observed diverging trends, and the consequential inability of the models to explain these trends. Nevertheless, the ecosystem models were able to capture important features of the experiments, lending some support to their projections.Item Open Access Functional Traits Exert More Control on Root Carbon Exudation than Do Short-Term Light and Nitrogen Availability in Four Herbaceous Plant Species(2011) Thorsos, Eileen RoseanneRoot carbon exudation is a critical element of the soil carbon cycle, and how both environmental conditions and plant traits influence exudation remains uncertain. I studied relationships between environmental conditions, plant traits, and carbon exudation in four herbaceous plant species: Asclepias incarnata, Microstegium vimineum, Panicum virgatum, and Scirpus cyperinus. Mature individuals were given short-term factorial light and N treatments, and exudates were collected from 8-hour carbon-free hydroponic incubations. I measured size traits (biomass, leaf area, root length, and root volume), photosynthesis (leaf-level and whole-plant), and tissue N traits (root, stem, and leaf percent N and C:N ratio). Neither light nor N treatments affected exudation, while exudation varied with species and traits. Species alone substantially explained mass-specific exudation (estimated R2 = 0.38). Size strongly predicted both total and mass-specific exudation, interacting with species (estimated R2 = 0.52 and 0.48, respectively). Generally, larger individuals exuded more overall but less per unit mass, although larger M. vimineum plants exuded more per unit mass. Whole-plant photosynthetic rate was weakly related to total exudation (estimated R2 = 0.17), and tissue N concentration moderately predicted mass-specific exudation (estimated R2 = 0.23). Other researchers have found that high light and low nitrogen availability stimulate exudation; my results indicate that this relationship is not straightforward. Plant traits, however, significantly explained variation in exudation, including some variation across species, supporting trait-based analyses of plant species' effects on ecosystem processes.
Item Open Access Global nitrogen budgets in cereals: A 50-year assessment for maize, rice, and wheat production systems.(Scientific reports, 2016-01-18) Ladha, JK; Tirol-Padre, A; Reddy, CK; Cassman, KG; Verma, Sudhir; Powlson, DS; van Kessel, C; de B Richter, Daniel; Chakraborty, Debashis; Pathak, HimanshuIndustrially produced N-fertilizer is essential to the production of cereals that supports current and projected human populations. We constructed a top-down global N budget for maize, rice, and wheat for a 50-year period (1961 to 2010). Cereals harvested a total of 1551 Tg of N, of which 48% was supplied through fertilizer-N and 4% came from net soil depletion. An estimated 48% (737 Tg) of crop N, equal to 29, 38, and 25 kg ha(-1) yr(-1) for maize, rice, and wheat, respectively, is contributed by sources other than fertilizer- or soil-N. Non-symbiotic N2 fixation appears to be the major source of this N, which is 370 Tg or 24% of total N in the crop, corresponding to 13, 22, and 13 kg ha(-1) yr(-1) for maize, rice, and wheat, respectively. Manure (217 Tg or 14%) and atmospheric deposition (96 Tg or 6%) are the other sources of N. Crop residues and seed contribute marginally. Our scaling-down approach to estimate the contribution of non-symbiotic N2 fixation is robust because it focuses on global quantities of N in sources and sinks that are easier to estimate, in contrast to estimating N losses per se, because losses are highly soil-, climate-, and crop-specific.Item Open Access IDENTIFYING POTENTIAL TIME LAG RESPONSES THROUGH LONG-TERM WATER QUALITY TRENDS IN A RESTORED RIPARIAN WETLAND STREAM COMPLEX IN THE PIEDMONT OF NORTH CAROLINA(2021-04-29) Dunn, AutumnRestoration of impaired ecosystems often experience hydrological and biogeochemical time lags between the restoration implementation and ecosystem recovery and water quality improvements, but there is a lack of long-term studies that have adequately evaluated completed projects to identify these time lags. Water quality is strongly tied to biogeochemical and hydrological functions, so one the best ways to see delayed responses of streams or rivers to nutrient and sediment changes is to assess data pre- and post- restoration. Duke’s SWAMP project has been monitoring pre- and post- construction responses, but water quality has not been fully analyzed since SWAMP’s initial five-year assessment in 2011. Since 2011, Duke campus has expanded and SWAMP underwent two additional phases. Water collection and monitoring has been ongoing since 2000, providing enough time and data to identify lag times or water quality trends. This report analyzes SWAMP from 2008 to 2020 to determine water quality, ecosystem efficiency in retaining nutrients or sediments, and seasonal trends. The first section of the report is a site analysis of water quality variables at the SWAMP site that compares Pre-2008 and Post-2008 water quality based on the Richardson (2011) study. Results showed Pre-2008 and Post-2008 water quality was not statistically different, which may be evidence of a lag time in ecosystem response to nitrogen and phosphorus or a change in input concentrations. Comparing individual site mean differences indicate SWAMP may be receiving worse water quality inputs despite treating nutrients. The second section of the report is a water quality assessment for SWAMP. Fecal coliform and total suspended solids are greatly reduced in SWAMP, primarily due to the completion of Phase 5 built in 2014. Nitrogen and phosphorus have large loading rates which is negatively impacting the removal rate of nutrients. Nutrient sources for SWAMP are from inlet water from Duke campus, primarily athletic fields carrying stormwater and fertilizer. The third section of the report analyzes seasonal trends for water quality variables at the inflow and outflow of SWAMP. Total nitrogen had an increasing monotonic trend that was not significantly influenced by seasonality and Phase 3 was the main source of nitrogen. Phase 3 caries Duke Campus water, so it is likely runoff transported by rain events is the cause of nitrogen’s upward trend. Total phosphorus has a downward monotonic trend with seasonal influences likely due to rain events. Not all phosphorus trends were significant, because phosphorus concentrations have changed depending on stream flow and rain events. Ultimately, SWAMP water quality has improved. There has been significant storage of nitrogen and phosphorus in the restored wetlands and holding pond, but high loading rates prevent increased nutrient removal efficiency values. However, total suspended solids are being stored or deposited along SWAMP and SWAMP is effectively treating fecal coliform. After the construction of Phase 5 in 2014, fecal coliform and total suspended solids dramatically decreased, indicating no lag period. Phosphorus and nitrogen have complex cycles, so their response is unclear without flow data and mass nutrient budgets.Item Open Access Is there foul play in the leaf pocket? The metagenome of floating fern Azolla reveals endophytes that do not fix N2 but may denitrify.(The New phytologist, 2018-01) Dijkhuizen, LW; Brouwer, P; Bolhuis, H; Reichart, G; Koppers, N; Huettel, B; Bolger, AM; Li, F; Cheng, S; Liu, XDinitrogen fixation by Nostoc azollae residing in specialized leaf pockets supports prolific growth of the floating fern Azolla filiculoides. To evaluate contributions by further microorganisms, the A. filiculoides microbiome and nitrogen metabolism in bacteria persistently associated with Azolla ferns were characterized. A metagenomic approach was taken complemented by detection of N2 O released and nitrogen isotope determinations of fern biomass. Ribosomal RNA genes in sequenced DNA of natural ferns, their enriched leaf pockets and water filtrate from the surrounding ditch established that bacteria of A. filiculoides differed entirely from surrounding water and revealed species of the order Rhizobiales. Analyses of seven cultivated Azolla species confirmed persistent association with Rhizobiales. Two distinct nearly full-length Rhizobiales genomes were identified in leaf-pocket-enriched samples from ditch grown A. filiculoides. Their annotation revealed genes for denitrification but not N2 -fixation. 15 N2 incorporation was active in ferns with N. azollae but not in ferns without. N2 O was not detectably released from surface-sterilized ferns with the Rhizobiales. N2 -fixing N. azollae, we conclude, dominated the microbiome of Azolla ferns. The persistent but less abundant heterotrophic Rhizobiales bacteria possibly contributed to lowering O2 levels in leaf pockets but did not release detectable amounts of the strong greenhouse gas N2 O.Item Open Access Leaf Traits, Neighbors, and Abiotic Factors: Ways That Context Can Mediate the Impact of Invasive Species on Nitrogen Cycling(2016) Lee, Marissa RuthSpecies invasions are more prevalent than ever before. While the addition of a species can dramatically change critical ecosystem processes, factors that mediate the direction and magnitude of those impacts have received less attention. A better understanding of the factors that mediate invasion impacts on ecosystem functioning is needed in order to target which exotic species will be most harmful and which systems are most vulnerable. The role of invasion on nitrogen (N) cycling is particularly important since N cycling controls ecosystem services that provision human health, e.g. nutrient retention and water quality.
We conducted a meta-analysis and in-depth studies focused on the invasive grass species, Microstegium vimineum, to better understand how (i) plant characteristics, (ii) invader abundance and neighbor identity, and (iii) environmental conditions mediate the impacts of invasion on N pools and fluxes. The results of our global meta-analysis support the concept that invasive species and reference community traits such as leaf %N and leaf C:N are useful for understanding invasion impacts on soil N cycling, but that trait dissimilarities between invaded and reference communities are most informative. Regarding the in-depth studies of Microstegium, we did not find evidence to suggest that invasion increases net nitrification as other studies have shown. Instead, we found that an interaction between its abundance and the neighboring plant identify were important for determining soil nitrate concentrations and net nitrification rates in the greenhouse. In field, we found that variability in environmental conditions mediated the impact of Microstegium invasion on soil N pools and fluxes, primarily net ammonification, between sites through direct, indirect, and interactive pathways. Notably, we detected a scenario in which forest openness has a negative direct effect and indirect positive effect on ammonification in sites with high soil moisture and organic matter. Collectively, our findings suggest that dissimilarity in plant community traits, neighbor identity, and environmental conditions can be important drivers of invasion impacts on ecosystem N cycling and should be considered when evaluating the ecosystem impacts of invasive species across heterogeneous landscapes.
Item Open Access Modeling land use patterns and water quality: An evaluation of the pySPARROW model(2008-04-24T15:26:23Z) Chambliss, EmilyModeling the effects of land use and land cover changes on water quality is important for watershed managers to better understand how human modifications to land surfaces may alter stream nutrient loads. One model available to resource managers for this purpose is the U.S. Geological Survey's SPARROW (Spatially Referenced Regressions on Watershed Attributes) model. SPARROW estimates total nitrogen and total phosphorus loads for watersheds by relating water quality information to nutrient sources, land-surface characteristics, stream connectivity, and downstream travel time. This project evaluates the pySPARROW model, which is an application of SPARROW written in the Python programming language for North Carolina's non-tidal stream network. By analyzing estimated nutrient loads of the Falls Lake subbasin under current land uses, this project assesses how well pySPARROW predicts the long term mean total nitrogen concentration. A regression analysis of the observed versus predicted total nitrogen concentrations shows that pySPARROW most likely needs to be recalibrated to improve its accuracy. The model is also used to assess watershed impacts of a development scenario under which forests and agricultural lands are converted to urban uses. Under this scenario, the total nitrogen loading of the Falls Lake subbasin increases and the loading of most catchments which experienced some development also increases. With the population of the Falls Lake subbasin expected to increase by 50 percent from 2000 to 2025, it is especially important that watershed managers have tools, such as pySPARROW, that may be used to predict the impact of land use changes on water quality in this region.Item Open Access Modeling nitrogen fate in supercritical water oxidation(2020) Fan, JinzhouSupercritical water oxidation (SCWO) had been investigated as an advanced technology for the removal of inert and stable organics found in wide range of wastes. Ammonia and nitrous oxide are confirmed in outlet of SCWO system treating municipal sludge. In this study, a mathematical model was established to simulate nitrogen reaction, in order to explore the kinetics of ammonia reaction and reduce the nitrous oxide generation. This developed mathematical model was trained by data from Duke Sanitation Solution group where a pilot-scale supercritical water oxidation facility is invested to treat municipal sludge. The final model was validated by practical data obtained from this facility, and give instruction on SCWO operation.
Item Open Access Organic nitrogen enhances nitrogen nutrition and early growth of Pinus sylvestris seedlings.(Tree physiology, 2022-03) Lim, Hyungwoo; Jämtgård, Sandra; Oren, Ram; Gruffman, Linda; Kunz, Sabine; Näsholm, TorgnyBoreal trees are capable of taking up organic nitrogen (N) as effectively as inorganic N. Depending on the abundance of soil N forms, plants may adjust physiological and morphological traits to optimize N uptake. However, the link between these traits and N uptake in response to soil N sources is poorly understood. We examined Pinus sylvestris L. seedlings' biomass growth and allocation, transpiration and N uptake in response to additions of organic N (the amino acid arginine) or inorganic N (ammonium nitrate). We also monitored in situ soil N fluxes in the pots following an addition of N, using a microdialysis system. Supplying organic N resulted in a stable soil N flux, whereas the inorganic N resulted in a sharp increase of nitrate flux followed by a rapid decline, demonstrating a fluctuating N supply and a risk for loss of nitrate from the growth medium. Seedlings supplied with organic N achieved a greater biomass with a higher N content, thus reaching a higher N recovery compared with those supplied inorganic N. In spite of a higher N concentration in organic N seedlings, root-to-shoot ratio and transpiration per unit leaf area were similar to those of inorganic N seedlings. We conclude that enhanced seedlings' nutrition and growth under the organic N source may be attributed to a stable supply of N, owing to a strong retention rate in the soil medium.Item Open Access Plant species' origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands.(Nat Commun, 2015-07-15) Seabloom, Eric W; Borer, Elizabeth T; Buckley, Yvonne M; Cleland, Elsa E; Davies, Kendi F; Firn, Jennifer; Harpole, W Stanley; Hautier, Yann; Lind, Eric M; MacDougall, Andrew S; Orrock, John L; Prober, Suzanne M; Adler, Peter B; Anderson, T Michael; Bakker, Jonathan D; Biederman, Lori A; Blumenthal, Dana M; Brown, Cynthia S; Brudvig, Lars A; Cadotte, Marc; Chu, Chengjin; Cottingham, Kathryn L; Crawley, Michael J; Damschen, Ellen I; Dantonio, Carla M; DeCrappeo, Nicole M; Du, Guozhen; Fay, Philip A; Frater, Paul; Gruner, Daniel S; Hagenah, Nicole; Hector, Andy; Hillebrand, Helmut; Hofmockel, Kirsten S; Humphries, Hope C; Jin, Virginia L; Kay, Adam; Kirkman, Kevin P; Klein, Julia A; Knops, Johannes MH; La Pierre, Kimberly J; Ladwig, Laura; Lambrinos, John G; Li, Qi; Li, Wei; Marushia, Robin; McCulley, Rebecca L; Melbourne, Brett A; Mitchell, Charles E; Moore, Joslin L; Morgan, John; Mortensen, Brent; O'Halloran, Lydia R; Pyke, David A; Risch, Anita C; Sankaran, Mahesh; Schuetz, Martin; Simonsen, Anna; Smith, Melinda D; Stevens, Carly J; Sullivan, Lauren; Wolkovich, Elizabeth; Wragg, Peter D; Wright, Justin; Yang, LouieExotic species dominate many communities; however the functional significance of species' biogeographic origin remains highly contentious. This debate is fuelled in part by the lack of globally replicated, systematic data assessing the relationship between species provenance, function and response to perturbations. We examined the abundance of native and exotic plant species at 64 grasslands in 13 countries, and at a subset of the sites we experimentally tested native and exotic species responses to two fundamental drivers of invasion, mineral nutrient supplies and vertebrate herbivory. Exotic species are six times more likely to dominate communities than native species. Furthermore, while experimental nutrient addition increases the cover and richness of exotic species, nutrients decrease native diversity and cover. Native and exotic species also differ in their response to vertebrate consumer exclusion. These results suggest that species origin has functional significance, and that eutrophication will lead to increased exotic dominance in grasslands.Item Open Access Response of Southern Shrub Peatland Phenolics and Carbon Dioxide Flux to Drought and Nitrogen Additions(2013-04-26) Burke, MeaghanPeat forms under wetland conditions where flooding obstructs flows of oxygen from the atmosphere and reduces the decomposition rate of plant litter. Peatlands only cover three percent of land area worldwide, yet they store one third of all terrestrial carbon due to thwarted decay. Wetlands are currently threatened by increasingly severe and frequent drought as well as nitrogen loading from agriculture and atmospheric deposition. Furthermore, the length of exposure to these inputs may produce varying outcomes. The degradation of critical wetland ecosystems amplifies carbon dioxide emissions and dissolved organic carbon release. Existing research focuses on sphagnum or grassland peat while this study examines shrub peatland soil from the Pocosin Lakes region of Eastern North Carolina. This project utilizes chemical and statistical analyses to determine the impacts of drought and nitrogen on the biogeochemical processes that occur within a shrub peatland.Item Open Access Sensor-mediated granular sludge reactor for nitrogen removal and reduced aeration demand using a dilute wastewater.(Water environment research : a research publication of the Water Environment Federation, 2020-07) Bekele, Zerihun A; Delgado Vela, Jeseth; Bott, Charles B; Love, Nancy GA sensor-mediated strategy was applied to a laboratory-scale granular sludge reactor (GSR) to demonstrate that energy-efficient inorganic nitrogen removal is possible with a dilute mainstream wastewater. The GSR was fed a dilute wastewater designed to simulate an A-stage mainstream anaerobic treatment process. DO, pH, and ammonia/nitrate sensors measured water quality as part of a real-time control strategy that resulted in low-energy nitrogen removal. At a low COD (0.2 kg m-3 day-1 ) and ammonia (0.1 kg-N m-3 day-1 ) load, the average degree of ammonia oxidation was 86.2 ± 3.2% and total inorganic nitrogen removal was 56.7 ± 2.9% over the entire reactor operation. Aeration was controlled using a DO setpoint, with and without residual ammonia control. Under both strategies, maintaining a low bulk oxygen level (0.5 mg/L) and alternating aerobic/anoxic cycles resulted in a higher level of nitrite accumulation and supported shortcut inorganic nitrogen removal by suppressing nitrite oxidizing bacteria. Furthermore, coupling a DO setpoint aeration strategy with residual ammonia control resulted in more stable nitritation and improved aeration efficiency. The results show that sensor-mediated controls, especially coupled with a DO setpoint and residual ammonia controls, are beneficial for maintaining stable aerobic granular sludge. PRACTITIONER POINTS: Tight sensor-mediated aeration control is need for better PN/A. Low DO intermittent aeration with minimum ammonium residual results in a stable N removal. Low DO aeration results in a stable NOB suppression. Using sensor-mediated aeration control in a granular sludge reactor reduces aeration cost.