Evaluation of a large-scale flow manipulation to the upper San Francisco Estuary: Response of habitat conditions for an endangered native fish

Sommer, Ted; Hartman, Rosemary; Koller, Michal; Koohafkan, Michael; Conrad, J. Louise; MacWilliams, Michael L.; Bever, Aaron J.; Burdi, Christina; Beakes, Michael P.

doi:10.1101/2020.06.02.129429

2020

DOI: 10.1101/2020.06.02.129429

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Evaluation of a large-scale flow manipulation to the upper San Francisco Estuary: Response of habitat conditions for an endangered native fish

Ted Sommer¹,

Rosemary Hartman²,

Michal Koller³

et al.

Abstract: 19While flow is known to be a major driver of estuarine ecosystems, targeted flow manipulations 20 are rare because tidal systems are extremely variable in space and time, and because the necessary 21 infrastructure is rarely available. In summer 2018 we used a unique water control structure in the San 22

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Using Age Tracers to Estimate Ecological Rates in a Phytoplankton Model

Gross

Holleman

Kimmerer

et al. 2023

Water

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The phytoplankton distribution in estuaries is influenced by multiple spatially variable growth and loss processes. As phytoplankton are transported by tidal and net flows, they are exposed to changing conditions of turbidity, depth, temperature, stratification, and grazing. Understanding the factors influencing the observed phytoplankton distribution patterns will allow better-informed restoration and water management efforts. We developed a Lagrangian approach driven by three-dimensional hydrodynamic model results and a simple representation of the production and losses of phytoplankton, allowing a highly efficient closed-form solution for phytoplankton biomass. Our analysis used continuous observations of chlorophyll concentration at four stations and a near-synoptic chlorophyll dataset collected underway from a boat in the channels of Suisun Marsh in the San Francisco Estuary. We divided the study region into four compartments defined by the water depth and location. For each observation location, hydrodynamic model simulations calculated the time that water parcels spent in each of these compartments and the mean depth encountered by water parcels in those compartments. Then, using that information and continuous monitoring data, we inferred compartment-specific grazing rates and two additional ecological parameters. The underway chlorophyll dataset was used for model validation. The model predicted patterns of observed spatial and tidal variability in chlorophyll in Suisun Marsh. The modeling indicated that the chlorophyll concentration at a point in space in time depends largely on the relative exposure to shallow areas, with positive net productivity and deep areas having negative net productivity.

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Using Age Tracers to Estimate Ecological Rates in a Phytoplankton Model

Gross

Holleman

Kimmerer

et al. 2023

Water

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show abstract

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Evaluation of a large-scale flow manipulation to the upper San Francisco Estuary: Response of habitat conditions for an endangered native fish

Cited by 1 publication

References 48 publications

Using Age Tracers to Estimate Ecological Rates in a Phytoplankton Model

Using Age Tracers to Estimate Ecological Rates in a Phytoplankton Model

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