Reconstructing primary production in a changing estuary: A mass balance modeling approach

Kim, Jongsun; Brush, Mark J.; Song, Bongkeun; Anderson, Iris C.

doi:10.1002/lno.11771

Cited by 4 publications

(1 citation statement)

References 55 publications

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“…Other studies capitalize on differential biological fractionation of natural-abundance isotopes to discriminate cycling processes (Dähnke et al 2008;Wankel et al 2009;Oakes et al 2010;Glibert et al 2019;Fackrell et al 2022). In some cases, whole-stream amendments of isotopically distinct nutrients are used (Mulholland et al 2004;Cohen et al 2012;Glibert et al 2019;Kim et al 2021;Ledford et al 2021). These studies provide constraints on net rates and sometimes on individual process rates.…”

Section: Introductionmentioning

confidence: 99%

Estimating Biogeochemical Rates Using a Computationally Efficient Lagrangian Approach

Gross,

Holleman,

Kimmerer

et al. 2024

Estuaries and Coasts

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Nutrient concentrations in many estuaries have increased over the past century due to increases in wastewater discharge and increased agricultural intensity, contributing to multiple environmental problems. Numerous biogeochemical and physical processes in estuaries influence nutrient concentrations during transport, resulting in complex spatial and temporal variability and challenges identifying predominant processes and their rates. Mechanistic models which require these rates to quantify biogeochemical processes become complex and difficult to calibrate as the number of processes and parameters grows, owing to the high dimensionality of the parameter space and the computational cost of simultaneously modeling the transport and transformations of constituents. We developed a modeling approach that decouples transport from transformations, enabling fast, data-driven exploration of the parameter space. The approach extracted information including water age, cumulative exposure to specific habitats, and mean water depth exposure from a hydrodynamic model. Using this information, a biogeochemical model was implemented to predict ammonium and nitrate concentrations in a Lagrangian frame. The model performed each simulation in milliseconds on a laptop computer, allowing the fitting of rate parameters for key transformations by optimization. The optimization used fixed station nitrate observations and the model was then validated against high-resolution mapping observations of ammonium and nitrate. The results suggest that the observed spatial and temporal variation can be largely represented with five transformation processes and their associated rates. Dissolved inorganic nitrogen (DIN) losses occurred only in shallow vegetated areas in the model, highlighting that biogeochemical processes in these areas should be included in DIN models.

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Section: Introductionmentioning

confidence: 99%

Estimating Biogeochemical Rates Using a Computationally Efficient Lagrangian Approach

Gross,

Holleman,

Kimmerer

et al. 2024

Estuaries and Coasts

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Influence of Rivers, Tides, and Tidal Wetlands on Estuarine Carbonate System Dynamics

Da,

Friedrichs,

St-Laurent

et al. 2024

Estuaries and Coasts

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Variations in estuarine carbonate chemistry can have critical impacts on marine calcifying organisms, yet the drivers of this variability are difficult to quantify from observations alone, due to the strong spatiotemporal variability of these systems. Terrestrial runoff and wetland processes vary year to year based on local precipitation, and estuarine processes are often strongly modulated by tides. In this study, a 3D-coupled hydrodynamic-biogeochemical model is used to quantify the controls on the carbonate system of a coastal plain estuary, specifically the York River estuary. Experiments were conducted both with and without tidal wetlands. Results show that on average, wetlands account for 20–30% of total alkalinity (TA) and dissolved inorganic carbon (DIC) fluxes into the estuary, and double-estuarine CO2 outgassing. Strong quasi-monthly variability is driven by the tides and causes fluctuations between net heterotrophy and net autotrophy. On longer time scales, model results show that in wetter years, lower light availability decreases primary production relative to biological respiration (i.e., greater net heterotrophy) resulting in substantial increases in CO2 outgassing. Additionally, in wetter years, advective exports of DIC and TA to the Chesapeake Bay increase by a factor of three to four, resulting in lower concentrations of DIC and TA within the estuary. Quantifying the impacts of these complex drivers is not only essential for a better understanding of coastal carbon and alkalinity cycling, but also leads to an improved assessment of the health and functioning of coastal ecosystems both in the present day and under future climate change.

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Climate Change Drove the Decline in Yangtze Estuary Net Primary Production Over the Past Two Decades

Wang,

Sun,

Jia

et al. 2024

Environ. Sci. Technol.

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Reconstructing primary production in a changing estuary: A mass balance modeling approach

Cited by 4 publications

References 55 publications

Estimating Biogeochemical Rates Using a Computationally Efficient Lagrangian Approach

Estimating Biogeochemical Rates Using a Computationally Efficient Lagrangian Approach

Influence of Rivers, Tides, and Tidal Wetlands on Estuarine Carbonate System Dynamics

Climate Change Drove the Decline in Yangtze Estuary Net Primary Production Over the Past Two Decades

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