Geology topics

Lukas T. WinklerPrins

Publications and source records attributed to Lukas T. WinklerPrins.

4 recordsLinked to original sources

USGS2026

Biophysical controls on sediment erodibility in shallow estuarine embayments

The erodibility of cohesive sediment is known to vary both spatially and temporally but the factors governing its variation are not well understood. We conducted a field investigation of the influence of hydrodynamic forcing, sediment properties, and benthic infauna on erodibility in the muddy shallows of San Pablo and Grizzly Bays in northern San Francisco Bay in summer 2019 and winter 2020. An erosion rate parameter M c was determined from regressions between near-bed vertical turbulent sediment flux, as a proxy for erosion, and bed shear stress due to currents. During each 2-month study period, we measured benthic infauna abundance and dry bulk density, particle size distribution, percent organic carbon, chlorophyll a , pheophytin a , and carbohydrates carbon concentrations of surficial bed sediments five or six times. M c increased with bed shear stress due to waves in both embayments. In San Pablo Bay, erodibility was approximately 50% lower during the winter than the summer deployment, whereas in Grizzly Bay, there was no significant difference. The factor most strongly related to the decrease in M c in San Pablo Bay was increased abundance of the amphipod Ampelisca abdita . The observed reduction in erodibility may occur in many muddy estuaries because A. abdita is broadly distributed in the coastal waters of North America. Erodibility was also directly related to biomass of the invasive clam Potamocorbula amurensis . Erodibility did not depend on dry bulk density: bulk density did not vary seasonally in San Pablo Bay and was lower in winter than summer in Grizzly Bay.

California↗

USGS2025

Comparison of creek and bay influences on salt marsh sediment budget and deposition patterns

The resilience of salt marshes with low organic production depends on their effective capture and retention of mineral sediment from adjacent waters. Little prior work has directly compared mechanisms of sediment import from wave-influenced marsh boundaries against those of tidal creeks. We used simultaneous deployment of net-deposition tiles and oceanographic sensors to identify the timing and magnitude of sediment import/export to, and redistribution within, a marsh in south San Francisco Bay. As the marsh has both an eroding bay-exposed scarp and a prominent tidal creek, we investigated the mechanisms and magnitudes of sediment import from the marsh-bay versus the marsh-creek interface. The strong daily sea breezes of the summer season produced most of the wave-driven erosion of the marsh scarp and controlled suspended sediment concentrations; the winter season had weaker winds punctuated by a few storms. A large seasonal difference in suspended sediment concentrations influenced both flood and ebb sediment fluxes to the marsh and led to much higher rates of import in the summer. Both bay-side and creek-side processes were important to total marsh sediment budget. Bay-side sediment contributions were more variable in time due to the bay-influenced environment, and creek-side contributions were overall larger, reflecting the large proportion of the marsh fed by creek water. Sediment was redistributed throughout the system, with erosion near the bay-edge, accretion near the creek-edge and slow import to the marsh interior. The marsh was net importing sediment in the summer and exporting in the winter from different rates of these processes; on an annual scale, the marsh was net importing despite rapid lateral marsh loss. These findings emphasize that a positive sediment budget does not imply a stable marsh and that both creek- and edge-side dynamics are important for marsh sedimentation and geomorphic trajectories. Further, we expand understandings of non-storm and seasonal controls on marsh sedimentation.

California↗

USGS2024

Seasonality of retreat rate of a wave-exposed marsh edge

Wave-driven erosion of marsh boundaries is a major cause of marsh loss, but little research has captured the effect of seasonal differences on marsh-edge retreat rates to illuminate temporal patterns of when the majority of this erosion is occurring. Using five surface models captured over a study year of a marsh with a steep escarped boundary in South San Francisco Bay, we find a pronounced seasonal signal, where rapid marsh retreat in the spring and summer is driven by a strong sea breeze but little change is found in the marsh-edge position in the fall and winter. We found accretion in the mudflat transition region close to the marsh boundary in the calmer seasons however, suggesting intertwined morphodynamics of mudflats and the eroding marsh-scarp. We observed large spatial heterogeneity in retreat rates within seasons, but less on longer (annual and decadal) timescales. The relationship between marsh-edge retreat rates and properties of the wave field nearby is explored and contextualized against extant relationships, but our results speak to the difficulty in addressing spatial erosion/accretion variability on short (seasonal) timescales with simple models.

JGR Earth Surface↗

USGS2024

Seasonal and spatial patterns in sediment transport in an erosional marsh system

Salt marshes provide expansive ecosystem services to coastal regions, including serving as bird and fish habitat, providing flood protection, and sequestering carbon and toxins (Barbier et al. 2011). While marshes are naturally dynamic, they are undergoing net loss in the 21st century largely due to lateral erosion (Camp- bell et al. 2022). In regions where marsh migration is constrained by built infrastructure, or where sediment resources may be insufficient for vertical or lateral expansion, approaches to prevent net marsh loss against lateral erosion are limited. To better understand and strategize around these conditions, detailed studies of marsh-edge loss mechanisms and their connections to sediment transport dynamics are necessary (Smith et al. 2021).

California↗