2017
DOI: 10.3133/sir20175071
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An introduction to high-frequency nutrient and biogeochemical monitoring for the Sacramento–San Joaquin Delta, northern California

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Cited by 7 publications
(5 citation statements)
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“…In particular, during nonstorm periods, when upstream NO3 concentrations are low and residence times are longer, much of the NO3 entering the Delta, as well as the downstream regions of the estuary, originates from nitrogen originally discharged from the WWTP as NH4+. This has important repercussions for future nutrient supplies to the estuary, especially in light of forthcoming upgrades to Sacramento's WWTP that are expected to dramatically decrease total N inputs by 2021 (Dahm et al, ; Kraus et al, ; Novick et al, ).…”
Section: Conclusion and Ecological Implicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In particular, during nonstorm periods, when upstream NO3 concentrations are low and residence times are longer, much of the NO3 entering the Delta, as well as the downstream regions of the estuary, originates from nitrogen originally discharged from the WWTP as NH4+. This has important repercussions for future nutrient supplies to the estuary, especially in light of forthcoming upgrades to Sacramento's WWTP that are expected to dramatically decrease total N inputs by 2021 (Dahm et al, ; Kraus et al, ; Novick et al, ).…”
Section: Conclusion and Ecological Implicationsmentioning
confidence: 99%
“…The advent of high frequency nutrient sensors that collect high temporal resolution data in situ is providing new opportunities to gain insight into the processes affecting nutrients (see reviews by Blaen et al, ; Kirchner et al, ; Kraus et al, ; Pellerin et al, ; Rode et al, ). For example, the use of in situ NO3 sensors has proven useful in other systems for characterizing short‐term changes in NO3 concentration, more accurately calculating NO3 fluxes and loads, and for quantifying ecosystem NO3 uptake (e.g., Alexander et al, ; Crawford et al, ; Downing et al, ; Gilbert et al, ; Heffernan & Cohen, ; Hensley et al, ; Pellerin et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…A growing number of eddycovariance greenhouse-gas flux towers coupled with PhenoCams provide distributed information about micrometeorology, carbon exchange, and vegetation dynamics (Knox et al 2015; Knox et al 2017; Dronova et al 2021). High-throughput in situ sensing via high-speed watercraft can rapidly map large areas for a key suite of aquatic physical and biogeochemical parameters (Downing et al 2017;Kraus et al 2017), providing an excellent complement to regional remote-sensing products (Fichot et al 2016).…”
Section: What Is Remote Sensing? a Beginner's Guidementioning
confidence: 99%
“…Discrete measurement collection in particular can be costly because of staff time for sample collection, specialized field equipment, and analytical costs. Furthermore, laboratory analytical results can take days to months to obtain, precluding their use to inform real‐time sampling or management decisions (Kraus et al 2017 a ). In addition, studies that utilize discrete or batch sampling techniques may not provide enough spatially or temporally resolved information to adequately document NH4+ gradients or patchiness in a water body and may thus be insufficient for identifying specific sources, understanding drivers, and quantifying transformation rates (Andres et al 2018).…”
mentioning
confidence: 99%
“…There has been much published on the impacts of elevated NH4+ concentrations on phytoplankton productivity downstream from the Sacramento Regional Wastewater Treatment Plant, with some studies suggesting NH4+ disrupts aquatic food webs by negatively affecting phytoplankton community structure and productivity (e.g., Dugdale et al 2007; Parker et al 2012; Wilkerson and Dugdale 2016), while others find this concept debatable and attribute declines in phytoplankton abundance and shifts to less nutritious and potentially harmful species to other factors (e.g., Senn and Novick 2014; Kraus et al 2017 b ; Cloern 2021; Kudela et al 2023). Ammonium monitoring in the Delta has predominantly consisted of intermittent discrete sampling, which misses key spatial and temporal information (Novick et al 2015; Kraus et al 2017 a , c ). Thus, instruments with high‐frequency continuous monitoring capabilities could improve our ability to assess relations between N—both its concentration and form—and important habitat metrics like phytoplankton abundance, phytoplankton species composition, and primary productivity.…”
mentioning
confidence: 99%