Data Package Metadata   View Summary

Water quality, phytoplankton, and zooplankton in the Sacramento Deep Water Ship Channel, CA

General Information
Data Package:
Local Identifier:edi.1319.2
Title:Water quality, phytoplankton, and zooplankton in the Sacramento Deep Water Ship Channel, CA
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Drivers of phytoplankton and zooplankton dynamics vary spatially and temporally in estuaries due to variation in hydrodynamic exchange and residence time, complicating efforts to understand controls on food web productivity. We conducted approximately monthly (2012 – 2019; n = 74) longitudinal sampling at ten fixed stations along a freshwater tidal terminal channel in the San Francisco Estuary, California, characterized by seaward to landward gradients in water residence time, turbidity, nutrient concentrations, and plankton community composition. We used multivariate autoregressive state space (MARSS) models to quantify environmental (abiotic) and biotic controls on phytoplankton and mesozooplankton biomass. The importance of specific abiotic drivers (e.g. water temperature, turbidity, nutrients) and trophic interactions differed significantly among hydrodynamic exchange zones with different mean residence times. Abiotic drivers explained more variation in phytoplankton and zooplankton dynamics than a model including only trophic interactions, but individual phytoplankton-zooplankton interactions explained more variation than individual abiotic drivers. Interactions between zooplankton and phytoplankton were strongest in landward reaches with the longest residence times and the highest zooplankton biomass. Interactions between cryptophytes and both copepods and cladocerans were stronger than interactions between bacillariophytes (diatoms) and zooplankton taxa, despite contributing less biovolume in all but the most landward reaches. Our results demonstrate that trophic interactions and their relative strengths vary in a hydrodynamic context, contributing to food web heterogeneity within estuaries at spatial scales smaller than the freshwater to marine transition.

Publication Date:2023-01-23
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2012-05-08
End:
2019-08-27

People and Organizations
Contact:Smits, Adrianne P (University of California Davis) [  email ]
Creator:Smits, Adrianne P (University of California Davis)
Creator:VanNieuwenhuyse, Erwin (US Bureau of Reclamation)
Creator:Dahlgren, Randy (University of California Davis)
Creator:Stumpner, Paul (US Geological Survey)

Data Entities
Data Table Name:
Dataset S1 water quality and plankton
Description:
Sacramento Deep Water Ship Channel water quality and plankton
Data Table Name:
Sampling Station Coordinates
Description:
Sampling Station Coordinates
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1319/2/ef121e5a5de54e025c93fb8955fb2253
Name:Dataset S1 water quality and plankton
Description:Sacramento Deep Water Ship Channel water quality and plankton
Number of Records:743
Number of Columns:19

Table Structure
Object Name:DWSC_waterquality_plankton.csv
Size:137141 byte
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Table Column Descriptions
 
Column Name:Date  
Station  
Zone  
TidalAmp_norm  
Temp_C  
SpCond_uS  
Turbidity_ntu  
NO3N_ppm  
NH4N_ppm  
PO4P_ppm  
Si_ppm  
Chla_ugL  
Bacillariophyta  
Chlorophyta  
Cryptophyta  
Phyto_biovolume  
Cladocera  
Copepoda  
Zoop_biomass  
Definition:Sampling dateSampling station (channel marker)Hydrodynamic exchange zoneNormalized tidal amplitudeWater temperatureSpecific conductanceTurbidityNitrate concentrationAmmonium concentrationPhosphate concentrationSilica concentrationChlorophyll-a concentrationBiovolume of BacillariophytaBiovolume of ChlorophytaBiovolume of CryptophytaTotal phytoplankton biovolumeCladoceran biomass (dry weight)Copepod biomass (dry weight)Total zooplankton biomass (dry weight)
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float  
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Measurement Type:dateTimenominalnominalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
FormatYYYY-MM-DD
Precision
Allowed Values and Definitions
Enumerated Domain 
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DefinitionChannel Marker 16
Source
Code Definition
Code34
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Source
Code Definition
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Code Definition
Code56
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Source
Code Definition
Code62
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Source
Code Definition
Code66
DefinitionChannel Marker 66
Source
Code Definition
Code70
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Source
Code Definition
Code74
DefinitionChannel Marker 74
Source
Code Definition
Code76
DefinitionChannel Marker 76
Source
Code Definition
Code84
DefinitionChannel Marker 84
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeHE
DefinitionHigh Exchange Zone
Source
Code Definition
CodeLE
DefinitionLow Exchange Zone
Source
Code Definition
CodeNE
DefinitionNo Exchange Zone
Source
Unitdimensionless
Typereal
Min0.373510556 
Max1.188898265 
Unitcelsius
Typereal
Min7.539999723 
Max28.3 
UnitmicroSiemensPerCentimeter
Typereal
Min99 
Max6311.5 
Unitntu
Typereal
Min2.1 
Max209 
UnitmilligramsPerLiter
Typereal
Min-0.000483986 
Max1.044744918 
UnitmilligramsPerLiter
Typereal
Min-2e-04 
Max0.421637245 
UnitmilligramsPerLiter
Typereal
Min0.006164 
Max0.156904 
UnitmilligramsPerLiter
Typereal
Min3.749978641 
Max10.29145389 
UnitmicrogramsPerLiter
Typereal
Min0.2 
Max34.01850419 
UnittenToNinthMicroMetersCubedPerLiter
Typereal
Min2.22e-05 
Max43.19067388 
UnittenToNinthMicroMetersCubedPerLiter
Typereal
Min
Max26.43501294 
UnittenToNinthMicroMetersCubedPerLiter
Typereal
Min
Max9.084409553 
UnittenToNinthMicroMetersCubedPerLiter
Typereal
Min0.011903997 
Max43.23123023 
UnitmicrogramsPerLiter
Typereal
Min
Max274.5976272 
UnitmicrogramsPerLiter
Typereal
Min
Max441.7275868 
UnitmicrogramsPerLiter
Typereal
Min
Max599.2604142 
Missing Value Code:        
CodeNA
ExplNot Applicable
CodeNA
ExplNot Applicable
CodeNA
ExplNot Applicable
     
CodeNA
ExplNot Applicable
               
Accuracy Report:                                      
Accuracy Assessment:                                      
Coverage:                                      
Methods:                                      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1319/2/f4e17cbf79b2202faf71cbe25fd2fa8c
Name:Sampling Station Coordinates
Description:Sampling Station Coordinates
Number of Records:10
Number of Columns:3

Table Structure
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Table Column Descriptions
 
Column Name:Station  
Latitude  
Longitude  
Definition:Sampling stationLatitude (decimal degrees)Longitude (decimal degrees)
Storage Type:string  
float  
float  
Measurement Type:nominalratioratio
Measurement Values Domain:
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code16
DefinitionChannel Marker 16
Source
Code Definition
Code34
DefinitionChannel Marker 34
Source
Code Definition
Code44
DefinitionChannel Marker 44
Source
Code Definition
Code56
DefinitionChannel Marker 56
Source
Code Definition
Code62
DefinitionChannel Marker 62
Source
Code Definition
Code66
DefinitionChannel Marker 66
Source
Code Definition
Code70
DefinitionChannel Marker 70
Source
Code Definition
Code74
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Source
Code Definition
Code76
DefinitionChannel Marker 76
Source
Code Definition
Code84
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Unitdegree
Typereal
Min38.0889 
Max38.5593 
Unitdegree
Typereal
Min-121.7425 
Max-121.5677 
Missing Value Code:      
Accuracy Report:      
Accuracy Assessment:      
Coverage:      
Methods:      

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabularyestuary, food web, phytoplankton, zooplankton
(No thesaurus)hydrodynamics, San Francisco Estuary

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

<emphasis role="strong">Methods</emphasis>

Study system

We conducted our study in the northern Delta, a freshwater tidal portion of the SFE, a large and highly altered estuary on the Pacific coast of North America. Our study sites were located in a terminal channel formed by the upper portions of the Sacramento River Deep Water Ship Channel (DWSC), which connects the West Sacramento Port to the Sacramento River and San Francisco Bay/Pacific Ocean. The 69 km long channel has a width of ~150 m, depth of ~10 m, and has one set of non-operational ships locks at its northern terminus.

We sampled at ten fixed sites along the DWSC, identified by channel marker (CM) number, to characterize water quality parameters and plankton community composition and biomass (depths 9.8-12.8 m). Study sites were located in three distinct hydrodynamic zones: the no-exchange zone (NE), where waters are trapped in the upper, landward section of the DWSC (above CM 70), a zone of mixing and high turbidity in the mid-zone (CM62 - CM66; low-exchange = LE), and the seaward zone that experiences tidal exchange each day (below CM62; high exchange zone = HE; P. R. Stumpner et al. 2020).

Sample Collection and Processing

We collected water chemistry and plankton samples at each station approximately monthly from April 2012 until September 2019 (74 sampling dates). Two YSI 6600 probes were used to collect field measurements of temperature and specific conductance. Turbidity was measured in the field on samples collected from 1 m depth using a Hach 2100P turbidimeter.

Two 1-L water chemistry samples were collected at 1 m depth using a submerged water pumping system and stored in acid-washed HDPE bottles for laboratory analyses. A 500 mL water sample for phytoplankton identification and biovolume quantification was collected at 1-m depth and preserved in 3% Lugol's solution (final concentration). Zooplankton samples were collected by vertical tow using a 150-µm mesh zooplankton net with a retrieval rate of ~0.33 m s -1 . The 150-µm mesh size was selected to avoid complications from high suspended sediment concentrations that frequently occur at some sampling sites, but as a result, smaller life stages (nauplii, early copepodites) and microzooplankton were not sampled effectively (Kayfetz et al., 2020). Zooplankton samples were preserved in a 2% final concentration of Lugol’s solution.

Sample processing was initiated within 24 hours of collection time. A subsample was filtered through a pre-rinsed 0.2 µm polycarbonate membrane (Millipore) for quantification of soluble reactive phosphorus (SR-PO 4 ), nitrate-N (NO 3 -N) + nitrite-N (NO 2 -N), and ammonium (NH 4 -N). SR-PO 4 was determined using the ammonium molybdate spectrophotometric method (limit of detection (LOD) ~0.005 mg LP-1; Clesceri et al., 1998). 3 +NO 2 -N (LOD =0.01 mg L -1 ; 3 -N constituted >95% of the combined NO 3 +NO 2 -N concentration, we report the NO 3 +NO 2 -N concentration as NO 3 -N in this study. NH 4 -N was determined spectroscopically with the Berthelot reaction, using a salicylate analog of indophenol blue (LOD ~ 0.010 mg L-1; Forster 1995). Dissolved Si was determined using the molybdate-reactive spectroscopic method (SM4500-SiO2 C; MRL=0.5 mg L-1; Clesceri et al., 1998).

Chlorophyll-a concentrations were determined from duplicate samples collected on Whatman GF/F filters, following methods in Clesceri et al. (1998). Samples were filtered in the field using low vacuum and stored on ice until storage in a -20ºC freezer. Samples were extracted in 90% ethanol, and filters were freeze dried but not ground (Sartory and Grobselaar, 1984). Samples were analyzed by fluorometric determination with the limit of detection dependent on the volume of water filtered (200 - 1000 mL, generally 0.5 µg L -1 ).

Phytoplankton identification and enumeration were performed using standard membrane filtration (McNabb, 1960). A Leica DMLB compound microscope was used for random field counts of at least 300 natural units and taxa were identified to the lowest possible taxonomic level. Cell biovolumes were quantified on a per milliliter basis (Hillebrand et al., 1999). Zooplankton abundance and identification were measured on three 1-ml aliquots using a Wilovert inverted microscope at 100x with a target tally of 200-400 specimens. Biomass estimates were based on established length/width relationships (Dumont et al., 1975; McCauley, 1984; Lawrence et al., 1987).

Species-level phytoplankton biovolume (μm 3 L -1 ) or mesozooplankton biomass (μg dry weight L -1 ) were summed according to the following taxonomic divisions, which represent the dominant taxa in our study system: Bacillariophyta, Chlorophyta, and Cryptophyta (phytoplankton), and Copepoda and Cladocera (zooplankton).

Quantifying hydrodynamic conditions

Since hydrodynamic processes can affect constituents over short (hours to days) to long (weeks – months) timescales we used several metrics that vary over longer timescales to more closely align with the time scale (monthly) of sample collection. Tidally averaged discharge (hourly; cubic feet per second) was obtained from two USGS monitoring stations, one near Cache Slough in the HE zone (CM 45, USGS 11455350) and one within the DWSC (CM 54; USGS 11455335; U.S. Geological Survey, 2021). Tidally-averaged discharge at CM 45 was used as a metric of seasonal hydrology for sites in the HE zone—when high flow events through the Yolo Bypass were excluded, it was highly correlated (R=0.81) with Sacramento River discharge at Freeport (USGS 11447650). In the landward LE and NE zones, we used discharge at CM 54 to capture variation in flow conditions (no gauges exist within the NE zone).

Normalized tidal amplitude was computed as a measure of tidal strength that varies from spring-neap (~14 days) to yearly timescales. During periods of higher tidal amplitude (normalized values greater than 1) water parcels are subject to stronger mixing and longer transport, decreasing water residence time. During periods of lower tidal amplitude (normalized values less than 1) water parcels will have less transport and mixing, with commensurately longer water residence time. Normalized tidal amplitude was estimated for each discrete sampling event. Discharge (15 min frequency) at CM 45 and CM 54 was used for the normalized tidal amplitude calculation. Because the discharge time series at CM45 ended prior to the end of the study, we substituted discharge at CM 41 (USGS 11455385) for the four missing dates (May - August 2019). For each discharge signal (Q) the tidally filtered discharge (<Q>) was computed using a Godin filter (Godin, 1972), and the tidal discharge (Q’) was computed as Q’ = Q - <Q>. The Q’ signal was then used to compute the tidal amplitude by finding the outer envelopes (or tidal maxima) using a 30-hr. moving window. The tidal amplitude is the difference between the upper and lower envelope, which was then normalized by median tidal amplitude over the length of the record.

We used tidal excursion length to assign fixed sampling stations to each of the three hydrodynamic zones (HE, LE, or NE) on each sampling date, and designated final site groupings based on a combination of hydrodynamic and environmental characteristics. Exchange zones were defined based on estimates of tidal excursion from the mouth of the DWSC using methods developed in P.R. Stumpner et al. (2020) and Young et al. (2021), and are a proxy for water residence time. The tidal excursion from the mouth of the DWSC was estimated using water velocity data at CM 54, which was then corrected by a scaling factor of 1.54 based on comparison to drifters that travelled up the channel over a course of a single flood tide. Corrected water velocity was then integrated over each tidal period (~25 hours) continuously over the length of the record to provide an estimate of the distance travelled along the DWSC. The distance travelled along the channel defines the upper boundary of the HE zone. The range of tidal excursions, over a month, was used to bound the LE zone. As a result, the boundaries of the HE and LE zones varied based on the tides, and the boundary of the LE zone also varied on monthly timescales due to the variation in the range of tidal excursions across spring-neap cycles.

For stations that switched zones between sampling dates (CM 56, CM 62), group assignment was based on both the proportion of sampling dates the site fell within each zone, as well as by comparing average water quality parameters with nearby stations. CM 56 fell within the HE zone on 57% of sampling dates, within the LE zone on 39% of sampling dates, and the NE zone on 4% of dates, and it was therefore grouped with stations in the HE zone. CM 62 fell within the LE zone on 39% of sampling dates and within the NE on 56% of sampling dates, but was assigned to the LE group based on its high mean turbidity. Although CM 66 technically fell within the NE zone, we assigned it to the LE zone based on its high turbidity.

References

Clesceri, L.S., A.E. Greenberg, and A.D. Eaton (eds.). (1998). Standard Methods for the

Doane, T. A., Horwath, W. R. (2003). Spectrophotometric determination of nitrate with a single

reagent. Analytical Letters, 36:2713-2722.

Dumont, H.J., I. Van de Velde & S. Dumont. (1975). The dry weight estimate of biomass in a

Feyrer, F., Sommer, T., & Slater, S. B. (2009). Old School vs. New school: Status of Threadfin Shad (Dorosoma petenense) Five Decades After its Introduction to the Sacramento–San Joaquin Delta. San Francisco Estuary and Watershed Science , 7 (1). https://doi.org/10.15447/sfews.2009v7iss1art3

Feyrer, F., Slater, S. B., Portz, D. E., Odom, D., Morgan-King, T., & Brown, L. R. (2017). Pelagic Nekton Abundance and Distribution in the Northern Sacramento–San Joaquin Delta, California. Transactions of the American Fisheries Society , 146 (1), 128–135.

Godin, G. (1972). The analysis of tides . University of Toronto Press.

Hillenbrand, H., C.D. Dürselen, D. Kirschtel, U. Pollingher, and T. Zohary. (1999). Biovolume

calculation for pelagic and benthic microalgae. Journal of Phycology 35:403-424.

Kayfetz, K., Bashevkin, S. M., Thomas, M., Hartmann, R., Burdi, C. E., Hennessy, A., et al. (2020). Zooplankton Integrated Dataset Metadata Report . IEP Technical Report 93. California Department of Water Resources, Sacramento, CA.

Lawrence, S. G., D.F. Malley, W.J. Findlay, M.A. MacIver & I.L. Delbaere. (1987). Method for

McCauley, E. (1984). The estimation of the abundance and biomass of zooplankton in samples.

pp. 228-265, In: J.A. Downing & F.H. Rigler (eds.) A Manual for the Assessment of Secondary Productivity in Fresh Waters. Blackwell Scientific Publishers.

McNabb, C.D. (1960). Enumeration of freshwater phytoplankton concentrated on the membrane

filter. Limnology and Oceanography 5:57-61.

Sartory, D.P., and J.U. Grobbelaar. (1984). Extraction of chlorophyll-a from freshwater

phytoplankton for spectrophotometric analysis. Hydrobiologia . 114:177-187.

Stumpner, P. R., Burau, J. R., & Forrest, A. L. (2020). A Lagrangian-to-Eulerian Metric to Identify Estuarine Pelagic Habitats. Estuaries and Coasts , 44 (5), 1231–1249. https://doi.org/10.1007/s12237-020-00861-7

United States Geological Survey. (2021). USGS water data for the Nation: U.S. Geological Survey National Water Information System database. . https://doi.org/http://dx.doi.org/10.5066/F7P55KJN

Young, M. J., Feyrer, F., Stumpner, P. R., Larwood, V., Patton, O., & Brown, L. R. (2021).

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Adrianne P Smits
Organization:University of California Davis
Email Address:
asmits@ucdavis.edu
Id:https://orcid.org/0000-0001-9967-5419
Individual: Erwin VanNieuwenhuyse
Organization:US Bureau of Reclamation
Individual: Randy Dahlgren
Organization:University of California Davis
Individual: Paul Stumpner
Organization:US Geological Survey
Contacts:
Individual: Adrianne P Smits
Organization:University of California Davis
Email Address:
asmits@ucdavis.edu
Id:https://orcid.org/0000-0001-9967-5419

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2012-05-08
End:
2019-08-27
Geographic Region:
Description:Sacramento Deep Water Ship Channel, California, USA
Bounding Coordinates:
Northern:  38.559Southern:  38.088
Western:  -121.742Eastern:  -121.567

Project

Parent Project Information:

Title:Investigating the Role of Nutrients (N & P) in Food Resource Dynamics of the Sacramento-San Joaquin Delta
Personnel:
Individual: Adrianne P Smits
Organization:University of California Davis
Email Address:
asmits@ucdavis.edu
Role:Principal Investigator
Funding: US Bureau of Reclamation R18AC00040
Related Project:
Title:Investigating the Role of Nutrients (N & P) in Food Resource Dynamics of the Sacramento-San Joaquin Delta
Personnel:
Individual: Erwin VanNieuwenhuyse
Organization:US Bureau of Reclamation
Role:Principal Investigator
Funding: US Bureau of Reclamation R18AC00040
Related Project:
Title:Investigating the Role of Nutrients (N & P) in Food Resource Dynamics of the Sacramento-San Joaquin Delta
Personnel:
Individual: Randy Dahlgren
Organization:University of California Davis
Role:Principal Investigator
Funding: US Bureau of Reclamation R18AC00040

Maintenance

Maintenance:
Description:complete
Frequency:
Other Metadata

Additional Metadata

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Additional Metadata

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Additional Metadata

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