Seasonal variabilities in sources, distribution and transport of dissolved organic carbon from a rapidly eroding coastal estuary in Mississippi River delta plain

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 965, P. 178631 - 178631

Published: Jan. 31, 2025

Language: Английский

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Predictions of saltwater intrusion in the Changjiang Estuary: Integrating Machine learning methods with FVCOM

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132739 - 132739

Published: Jan. 1, 2025

Language: Английский

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Upriver migrating sea lamprey exhibit similar responses to hydrodynamic features as other up and downriver-moving species

Frontiers in Freshwater Science, Journal Year: 2025, Volume and Issue: 3

Published: April 14, 2025

Identifying commonalities in how fish navigate rivers near infrastructure will enhance water operations and design by improving our ability to predict engineering outcomes (e.g., barrier construction/removal, passage installation) novel settings before the cost of real-world implementation. Evidence from intermediate-scale computer models (time scales minutes days spatial <2 km) suggests that movement behavior is frequently governed responses one or more following hydrodynamic features: (1) flow direction (i.e., rheotaxis), (2) velocity magnitude, (3) turbulence, (4) depth, plus (5) integration information over recent time periods memory/experience). However, lack consistent modeling approaches, infrequent assessment each response isolation combination, a focus on limited number species means generality these uncertain. We use model, specifically pattern-oriented approach incorporating individual based (IBMs), apply four features memory/experience different combinations study their value for reproducing an infrequently modeled lifestage, upriver migrating adult sea lamprey, Petromyzon marinus . The site was region downstream Sault Ste. Marie lock dam complex located between Canada U.S.A St. Marys River joining Lake Superior Huron. Our analysis indicates rheotaxis magnitude as well past experience improve lamprey spatio-temporal prediction compared other, simpler forms behavior. Sea also biased toward lower levels turbulence turbulent kinetic energy) its precursor gradient speed). A depth not found be important, but domain two-dimensional which assessment. As similar are very fish, appear underlie river navigation across range life stages share goal-oriented downriver movement. systematic highlights accuracy trade-offs response, individually often accompany alternative behavioral formulations model structure provides framework future findings analyses additional contexts can added.

Language: Английский

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Carbonate and Nutrient Dynamics in a Mississippi River Influenced Eutrophic Estuary

Estuaries and Coasts, Journal Year: 2025, Volume and Issue: 48(3)

Published: Feb. 15, 2025

Language: Английский

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The Effects of a Storm Surge Event on Salt Intrusion: Insights From the Rhine‐Meuse Delta

Journal of Geophysical Research Oceans, Journal Year: 2025, Volume and Issue: 130(4)

Published: April 1, 2025

Abstract The Rhine‐Meuse Delta is a low‐lying delta in the Netherlands that subject to both salt intrusion events and storm surges. Typically, surges only temporarily cause increased do not severe problems for freshwater availability. However, during surge of December 2013, reached closed southern branch higher salinities were observed weeks after surge. purpose this study examine mechanisms controlling event. A three‐dimensional hydrodynamic model (Delft3D‐FM) was developed successfully reproduces normal conditions. During storm, high water levels northern caused flux toward branch. off by an estuarine dam, consequently retained landward dam. Local stratification remain deeper parts, limiting effectiveness flushing In post‐storm period, gradually released from branch, raising salinity adjacent channel. river discharge just below yearly average, showing prolonged can also occur outside dry periods.

Language: Английский

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Development and Application of a Simplified Biophysical Model to Study Deltaic and Coastal Ecosystems

Estuarine Coastal and Shelf Science, Journal Year: 2024, Volume and Issue: 306, P. 108899 - 108899

Published: Aug. 1, 2024

Language: Английский

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Vegetation Loss Following Vertical Drowning of Mississippi River Deltaic Wetlands Leads to Faster Microbial Decomposition and Decreases in Soil Carbon

Journal of Geophysical Research Biogeosciences, Journal Year: 2024, Volume and Issue: 129(4)

Published: April 1, 2024

Abstract Wetland ecosystems hold nearly a third of the global soil carbon pool, but as wetlands rapidly disappear fate this stored is unclear. The aim study was to quantify and then link potential rates microbial decomposition after vertical drowning vegetated tidal marshes in coastal Louisiana known drivers anaerobic altered by vegetation loss. Profiles CH 4 CO 2 production (surface 60 cm deep) were measured during incubations, organic matter chemistry assessed with infrared spectroscopy, porewater nutrients redox potentials field along chronosequence wetland After drowning, pond soils had lower potentials, higher pH values, nitrogen concentrations, lignin: polysaccharide ratios, more NH + PO 3− , release than marsh soils. Potential similar open water ponds, depth‐dependent decreases concentrations increased. In these anoxic soils, loss exerts primary control on because flooding drives sustained increases nutrient availability (NH 3 dissolved carbon) (from −150 −500 mV) that lead fluxes within few years. Without new inputs following loss, ponds may losses could influence budgets.

Language: Английский

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Consistencies in the dietary and isotopic niche of spotted seatrout, Cynoscion nebulosus, across a salinity gradient within a coastal Louisiana estuary

Journal of Fish Biology, Journal Year: 2024, Volume and Issue: 105(2), P. 459 - 471

Published: July 4, 2024

Estuaries are essential habitats for recreational and commercial fish that shaped by both natural anthropogenic processes. In Louisiana a combination of climate change planned coastal restoration actions is predicted to increase freshwater introduction estuaries. As such there need quantify the relationships between estuarine ecology salinity aid in predicting how species will respond shifts salinity. We investigated relative abundance dietary niches adult (24.5 ± 5.4 cm standard length) spotted seatrout Cynoscion nebulosus across varying regimes (oligohaline, mesohaline, polyhaline) within Barataria Bay, Louisiana, using net sampling gut content stable isotopes analysis. found C. was lowest at oligohaline site, translating approximately five fewer captured every single psu decrease site's average annual contrast, we diets and, lesser extent, isotopic had high degree overlap sites with differing regimes. Fish penaeid shrimp were most common important prey taxa recovered from guts all sites. The small differences among likely due spatial variation hydrogeochemical baselines, observed provides support idea move adjacent forage throughout Bay. Our results contribute greater understanding preference trophic can their responses future habitat changes Bay associated actions.

Language: Английский

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Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(10)

Published: Oct. 1, 2024

Abstract Transformer neural networks (TNNs) have caused a paradigm shift in deep learning domains like natural language processing, gathering immense interest due to their versatility other fields such as time series forecasting (TSF). Most current TSF applications of TNNs use only historic observations predict future events, ignoring information available weather forecasts inform better predictions, and with little attention given the interpretability model's explanatory inputs. This work explores potential for perform across multiple environmental variables (streamflow, stage, water temperature, salinity) two ecologically important regions: Peace River watershed (Florida) northern Gulf Mexico (Louisiana). The TNN was tested its prediction uncertainty quantified each response variable from one‐to fourteen‐day‐ahead using past spatially distributed forecasts. A sensitivity analysis (SA) performed on trained TNNs' weights identify relative influence input windows. Overall model performance ranged good very (0.78 < NSE 0.99 all forecast horizons). Through SA, we found that able learn physical patterns behind data, adapt forecast, increasingly windows increased. TNN's excellent flexibility, along intuitive highlighting logic models' decision‐making process, provide evidence applicability this architecture locations.

Language: Английский

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Real time forecasting in the coastal zone: Stream power in the lower Mississippi River

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 57, P. 102088 - 102088

Published: Dec. 12, 2024

Language: Английский

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