Data Package Metadata   View Summary

Fish Food on Floodplain Farm Fields 2021

General Information
Data Package:
Local Identifier:edi.1087.2
Title:Fish Food on Floodplain Farm Fields 2021
Alternate Identifier:DOI PLACE HOLDER
Abstract:

2019 Water Year (October 1, 2018 through September 30, 2019)

In the winter and spring of 2018-2019, 5,000 acres of agricultural land in Yolo County, California was intentionally flooded. These “dry-side” rice fields, although on the former floodplain of the Sacramento River, are separated from the fish-bearing Sacramento River (the “wet-side”) by high flood levees. Today, levees cut off 95% of the Central Valley’s floodplains from river channels so that Central Valley aquatic ecosystems no longer recruit floodplain the food web resources needed to support robust aquatic food webs, create fish biomass and sustain abundant fish populations.

In this experiment we asked whether floodplain food web resources “grown” in intentionally inundated “dry-side” agricultural fields could be exported back to the river via flood drainage infrastructure. If so, we were interested to know whether those resources could improve juvenile salmon foraging success and increase growth rates. In order to test these questions, we caged fish in the floodplain drainage canal, at the location where the floodplain drainage water entered the river and at locations both up- and downstream. We hypothesized that zooplankton abundance and fish growth rates would be elevated at the managed floodplain outfall location, relative to the upstream location. We measured water quality parameters, zooplankton species assemblage and abundance, and juvenile Chinook salmon growth rates with PIT tagged, hatchery-origin fish confined to enclosures at the study locations. The 5,000 acres of managed floodplain was drained over the coarse of 5 weeks in February and March, 2019 at a maximum rate of 1,000 cfs. The Sacramento River flow during the experiment ranged from 20,000-30,000 cfs. Fish growth rates at the floodplain outfall location were up to five times greater than growth rates upstream of the outfall and enclosure fish experienced growth rate benefits at least up to a mile downstream from the managed floodplain outfall.

This study demonstrated a management practice that transfers floodplain food web benefits from managed floodplains without anadromous fish access, to the food-scarce Sacramento River ecosystem. Multiple districts across the Sacramento Valley maintain similar water infrastructure to what was used in this pilot action. If incorporated at large scale into water management practices, fish food production on “dry-side” agricultural fields and wildlife refuges could contribute substantial food resources to rearing and out-migrating juvenile salmon populations in the Sacramento River system.

2020 Water Year (October 1, 2019 through September 30, 2020)

No Fish Food project was implemented this year.

2021 Water Year (October 1, 2020 through September 30, 2021)

In the winter and spring of 2020-2021, 8,775 acres of agricultural land in Yolo County, California was intentionally flooded. These “dry-side” rice fields, although on the former floodplain of the Sacramento River, are separated from the fish-bearing Sacramento River (the “wet-side”) by high flood levees. Today, levees cut off 95% of the Central Valley’s floodplains from river channels so that Central Valley aquatic ecosystems no longer recruit floodplain the food web resources needed to support robust aquatic food webs, create fish biomass and sustain abundant fish populations.

In this experiment we asked whether floodplain food web resources “grown” in intentionally inundated “dry-side” agricultural fields could be exported back to the river via flood drainage infrastructure. If so, we were interested to know whether those resources could improve juvenile salmon foraging success and increase growth rates. In order to test these questions, we caged fish in the floodplain drainage canal, at the location where the floodplain drainage water entered the river and at locations both up- and downstream. We hypothesized that zooplankton abundance and fish growth rates would be elevated at the managed floodplain outfall location, relative to the upstream location. We measured water quality parameters, zooplankton species assemblage and abundance, and juvenile Chinook salmon growth rates with PIT tagged, hatchery-origin fish confined to enclosures at the study locations. The 8,775 acres of managed floodplain was drained over the coarse of 5 weeks in February and March, 2021 at a maximum rate of 1,000 cfs. The Sacramento River flow during the experiment ranged from 3,000-12,000 cfs. Fish growth rates at the floodplain outfall location were up to twelve times greater than growth rates upstream of the outfall and enclosure fish experienced growth rate benefits at least up to six miles downstream from the managed floodplain outfall.

This study demonstrated a management practice that transfers floodplain food web benefits from managed floodplains without anadromous fish access, to the food-scarce Sacramento River ecosystem. Multiple districts across the Sacramento Valley maintain similar water infrastructure to what was used in this pilot action. If incorporated at large scale into water management practices, fish food production on “dry-side” agricultural fields and wildlife refuges could contribute substantial food resources to rearing and out-migrating juvenile salmon populations in the Sacramento River system.

2022 Water Year (October 1, 2021 through September 30, 2022)

In the winter and spring of 2021-2022, 9,943 acres of agricultural land in Yolo County, California was intentionally flooded. These “dry-side” rice fields, although on the former floodplain of the Sacramento River, are separated from the fish-bearing Sacramento River (the “wet-side”) by high flood levees. Today, levees cut off 95% of the Central Valley’s floodplains from river channels so that Central Valley aquatic ecosystems no longer recruit floodplain the food web resources needed to support robust aquatic food webs, create fish biomass and sustain abundant fish populations.

In this experiment we asked whether floodplain food web resources “grown” in intentionally inundated “dry-side” agricultural fields could be exported back to the river via flood drainage infrastructure. If so, we were interested to know whether those resources could improve juvenile salmon foraging success and increase growth rates. In order to test these questions, we caged fish in the floodplain drainage canal, at the location where the floodplain drainage water entered the river and at locations both up- and downstream. We hypothesized that zooplankton abundance and fish growth rates would be elevated at the managed floodplain outfall location, relative to the upstream location. We measured water quality parameters, zooplankton species assemblage and abundance, and juvenile Chinook salmon growth rates with PIT tagged, hatchery-origin fish confined to enclosures at the study locations. The 9,943 acres of managed floodplain was drained over the coarse of 5 weeks in February and March, 2022 at a maximum rate of 300 cfs. The Sacramento River flow during the experiment ranged from 3,000-5,000 cfs. Fish growth rates at the floodplain outfall location were up to three times greater than growth rates upstream of the outfall.

This study demonstrated a management practice that transfers floodplain food web benefits from managed floodplains without anadromous fish access, to the food-scarce Sacramento River ecosystem. Multiple districts across the Sacramento Valley maintain similar water infrastructure to what was used in this pilot action. If incorporated at large scale into water management practices, fish food production on “dry-side” agricultural fields and wildlife refuges could contribute substantial food resources to rearing and out-migrating juvenile salmon populations in the Sacramento River system.

Short Name:F4F2021
Publication Date:2023-08-21
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2020-11-02
End:
2022-04-25

People and Organizations
Contact:Montgomery, Jacob (California Trout) [  email ]
Creator:Montgomery, Jacob (California Trout)

Data Entities
Data Table Name:
F4F2021_FishGrowth2022.csv
Description:
Fish Growth Data
Data Table Name:
F4F2021_ContinuousTempDO2022.csv
Description:
Continuous Temperature Data
Data Table Name:
F4F2021_Complete2021ZoopsPerM3andWaterQuality2022.csv
Description:
Zooplankton Density and Water Quality Data
Data Table Name:
F4F2021_LocationLookupTable_2022.csv
Description:
Location Lookup Table for Sample Site
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1087/2/32feb548edee336ead04bf94169fc493
Name:F4F2021_FishGrowth2022.csv
Description:Fish Growth Data
Number of Records:3416
Number of Columns:5

Table Structure
Object Name:F4F2021_FishGrowth2022.csv
Size:110636 bytes
Authentication:f684784da43e3fe4fd22cd82bdd7f4f7 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 
Column Name:Date  
LOCATION  
PIT  
Length.mm  
Weight.g  
Definition:date sample was collectedsample site code identifierPassive integrated transmitter identifierLength of fish measured in millimetersweight of fish measured in grams
Storage Type:          
Measurement Type:dateTimenominalnominalratioratio
Measurement Values Domain:
FormatYYYY-MM-DD
PrecisionYYYY-MM-DD
Definitionsample site code identifier
DefinitionPassive integrated transmitter identifier
Unitmillimeter
Typereal
Min49 
Max93 
Unitgram
Typereal
Min0.74 
Max8.01 
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1087/2/df6a7da04b129fe9fb11dc98cf2129fb
Name:F4F2021_ContinuousTempDO2022.csv
Description:Continuous Temperature Data
Number of Records:116275
Number of Columns:4

Table Structure
Object Name:F4F2021_ContinuousTempDO2022.csv
Size:4588105 bytes
Authentication:e070eb9ca9a9ffb2f0855bd17e09c73e Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 
Column Name:LOCATION  
DateTime  
DO.mgL  
Temp.F  
Definition:sample site code identifiertime sample was collecteddissolved oxygen of water at time of sample collectionwater temperature at time of sample collection
Storage Type:        
Measurement Type:nominaldateTimeratiointerval
Measurement Values Domain:
Definitionsample site code identifier
Formatmm/dd/yyyy hh:mm
Precisionmm/dd/yyyy hh:mm
UnitmilligramPerLiter
Typereal
Min
Max20 
Unitfahrenheit
Typereal
Min
Max30 
Missing Value Code:        
Accuracy Report:        
Accuracy Assessment:        
Coverage:        
Methods:        

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1087/2/d0dcd51b56c2fa57eb775ec4bbdfe0ef
Name:F4F2021_Complete2021ZoopsPerM3andWaterQuality2022.csv
Description:Zooplankton Density and Water Quality Data
Number of Records:1735
Number of Columns:73

Table Structure
Object Name:F4F2021_Complete2021ZoopsPerM3andWaterQuality2022.csv
Size:689932 bytes
Authentication:504b7ef7da7eaf159a3e458e44db4a39 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 
Column Name:ID  
Pseudodiptomus.Adult  
Psedodiptomus.copepidite  
Acanthocyclops.adult  
Acanthocyclops.copepididte  
Cyclopoid.sp.  
Cyclopoid.nauplii  
Calanoid.naulpii  
Harpaticoid  
Daphnia.pulex  
Daphnia.laevis  
Daphnia.magna  
Daphnia.mendotea  
Ceriodaphnia.sp.  
Simocephalus.sp.  
Bosmina.sp.  
Sididae  
Chydorus.sphaericus  
Eurycercus  
Alona  
Chydoridae  
Diaphanosoma  
Scapholeberis  
Cladocera.embryo  
Eucypris  
Illyocypris  
Cypridopsis  
Gammarus  
Rotifer  
Polychaete  
Acari  
Chironomid.larvae  
Oliogochaete  
Gastropod  
Tardigrade  
Nematode  
Hyallela  
Hydra  
Terrestrial.insect  
Collembola  
Baetidae  
Diptera  
Hydroptilidae  
Coleoptera  
Ephemerellidae  
Odonata  
Bivalve  
Trichoptera  
Corixidae  
Fish.larvae  
Ilyocryptus  
Streblocerus  
Moina  
DATE  
LOCATION  
TIME  
TEMP..C.  
EC...s.cm.  
SPC...s.cm.  
TDS..mg.L.  
SALINITY..PSU.  
DO....sat.  
DO..mg.L.  
pH  
TURBIDITY..NTU.  
CHL...g.L.  
BGA...g.L.  
Start.Rotation  
End.Rotation  
ZOOP.SCORE..1.10.  
Notes  
VolumeSampled  
Amphipod  
Definition:unique site_date_time row identifiercount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampledcount of zooplankton species standardized to one cubic meter of water sampleddate sample was collectedsample site code identifiertime sample was collectedwater temperature at time of sample collectionelectrical conductivity of water at time of sample collectionspecific conductivity of water at time of sample collectiontotal dissolved solids in water at time of sample collectionsalinity of water at time of sample collectiondissolved oxygen of water at time of sample collectiondissolved oxygen of water at time of sample collectionpH of water at time of sample collectionturbidity of water at time of sample collectionchlorophyll-a fluorescence of water at time of sample collectionblue-green algae fluorescence of water at time of sample collectionflowmeter rotor start numberflowmeter rotor end numbersubjective rank score of zooplankton density at time of sample collectionsample collection and/or sample processing notscalculated water volume sampled during zooplankton collectioncount of zooplankton species standardized to one cubic meter of water sampled
Storage Type:                                                                                                                                                  
Measurement Type:nominalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratiodateTimenominaldateTimeintervalratioratioratioratioratioratiointervalratioratioratioratioratiorationominalratioratio
Measurement Values Domain:
Definitionunique site_date_time row identifier
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
Unitdimensionless
Typereal
Min
Max1000000 
FormatYYYY-MM-DD
PrecisionYYYY-MM-DD
Definitionsample site code identifier
Formathh:mm
Precisionhh:mm
Unitcelsius
Typereal
Min
Max30 
Unitmicroseimens per centimeter
Typereal
Min
Max2000 
Unitmicroseimens per centimeter
Typereal
Min
Max1500 
UnitmilligramPerLiter
Typewhole
Min
Max1500 
Unitparts per thousand
Typereal
Min
Max
Unitpercent saturation
Typereal
Min
Max150 
UnitmilligramPerLiter
Typereal
Min
Max20 
UnitpH
Typereal
Min
Max14 
UnitNephelometric Turbidity unit
Typereal
Min
Max1000 
UnitmicrogramPerLiter
Typereal
Min
Max100 
UnitmicrogramPerLiter
Typereal
Min
Max10 
Unitrotation start
Typewhole
Min
Max1000000 
Unitrotation end
Typewhole
Min
Max1000000 
Unitrank score
Typewhole
Min
Max10 
Definitionsample collection and/or sample processing nots
UnitcubicMeter
Typereal
Min
Max
Unitdimensionless
Typereal
Min
Max1000000 
Missing Value Code:                                                                                                                                                  
Accuracy Report:                                                                                                                                                  
Accuracy Assessment:                                                                                                                                                  
Coverage:                                                                                                                                                  
Methods:                                                                                                                                                  

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1087/2/8985a04b62b2d42f7b013f7cf8c8a14f
Name:F4F2021_LocationLookupTable_2022.csv
Description:Location Lookup Table for Sample Site
Number of Records:79
Number of Columns:5

Table Structure
Object Name:F4F2021_LocationLookupTable_2022.csv
Size:5930 bytes
Authentication:1951666f975d0985ee384ceb29cf6073 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 
Column Name:Location  
Lat Long UTM  
Habitat Type  
Purpose  
Habitat Type 2  
Definition:sample site code identifierLatitude and Longitude at sample sitesample site habitat type, broadmonitoring or experimentalsample site habitat type, refined
Storage Type:          
Measurement Type:nominalnominalnominalnominalnominal
Measurement Values Domain:
Definitionsample site code identifier
DefinitionLatitude and Longitude at sample site
Definitionsample site habitat type, broad
Definitionmonitoring or experimental
Definitionsample site habitat type, refined
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Package Usage Rights

This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). It is considered professional etiquette to provide attribution of the original work if this data package is shared in whole or by individual components. A generic citation is provided for this data package on the website https://portal.edirepository.org (herein "website") in the summary metadata page. Communication (and collaboration) with the creators of this data package is recommended to prevent duplicate research or publication. This data package (and its components) is made available "as is" and with no warranty of accuracy or fitness for use. The creators of this data package and the website shall not be liable for any damages resulting from misinterpretation or misuse of the data package or its components. Periodic updates of this data package may be available from the website. Thank you.

Keywords

By Thesaurus:
LTERaquatic ecosystems, fishes, aquatic invertebrates, rivers, agriculture, floodplains, wetlands, zooplankton, food webs
AGROVOCfloodplains, wetlands, constructed wetlands, flooded land, marshes, rice, agroecosystems, agropisciculture, ricefield aquaculture, flood control, levee management, freshwater management, hydrological restoration

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:

METHODS - Water Year 2019 (October 1, 2018 through September 30, 2019)

Study location

Flooding for the Pilot Action experiment took place in the Colusa Basin on 5,435 acres owned by Reclamation District 108 (RD 108) near Knights Landing, CA. Sampling was conducted in the RD108 canal system immediately before canal water was pumped into the Sacramento River at the Rough and Ready pumping facility (approximately river mile 100), and in the River up- and downstream of the pump discharge location (Fig.1).

Figure 1: Study location in western Sacramento Valley just north of Knights Landing; The 5,435 acres of Reclamation District 108 and River Garden Farms fields inundated and drained as part of the experiment are shaded in blue, water drains via gravity from fields through canals to the Rough and Ready pumping station (yellow star) where it is pumped into the Sacramento River (flowing from north to south). Sample locations within the river where juvenile Chinook salmon were caged are labeled “upstream”, “outfall”, and “one-mile downstream”. See Figure 1 here: https://cvpia-data-stewardship.s3.us-west-1.amazonaws.com/figures-for-edi/fig_1.png

Water management

Starting on December 15, 2018, 7,175 acre-feet of water was used to flood the 5,435 participating managed floodplain acres. Flood-up was completed by January 15, 2019. Drainage began February 8, 2019 and ended March 8, 2019. Approximately one-quarter of the flooded acreage was drained each week. The Rough and Ready pumping facility can operate over a broad range of export discharge rates between 80-955cfs. For baseline conditions, a single 80cfs pump can be used. For higher discharge rates the facility has five 175cfs pumps which can be run individually or together in various combinations.

Sampling dates and locations

Weekly sampling to assess conditions before and after the Pilot Action in the Sacramento River began November 13, 2018 and continued through April 8, 2019. Sampling for the experimental flood/drain cycle began February 5, 2019 and continued weekly through March 10, 2019.

Site locations (Fig. 1, Table 1) included the drainage canal at the export pumps (RRCAN), in the Sacramento River upstream of the pump discharge (RRSAC1), two locations in the Sacramento River at the pump outfall (RRSAC2A and RRSAC2B), in the Sacramento River a half mile downstream of the export pumps (RRSAC3), and in the Sacramento River one mile downstream of the pumps (RRSAC4). Two cage locations were selected at the pump outfall site in the Sacramento River in order to protect against damaged or lost cages at a location that 1) is a popular public fishing spot where potential vandalism was a concern, 2) is located on an outside bend in the river prone to debris accumulation, and 3) where a turbulent upstream eddy forms when the pumps are discharging making tethering cages particularly challenging. The second location (RRSAC2B), immediately upstream of the export pumps and within the upstream eddy and protected from view and from debris by riparian vegetation, was added to create redundancy and alleviate some of these concerns.

Table 1: Sample location codes and descriptions. See Table 1 here: https://cvpia-data-stewardship.s3.us-west-1.amazonaws.com/figures-for-edi/table_1.png

Water quality and zooplankton sampling

At each sample location, water quality data was collected with a YSI Exo2 multi-parameter sonde. Water quality parameters collected were: temperature (degrees C), dissolved oxygen (mg/L), turbidity (NTU), chlorophyl-a fluorescence (µg/L), blue-green algae fluorescence (µg/L), electrical conductivity (µg/cm), salinity (PSU), and pH. Onset HOBO dissolved oxygen and temperature data loggers were deployed at all locations collecting continuous data at 15-minute intervals.

All sites were sampled for zooplankton diversity and abundance using net tows. In the river, a 30-cm diameter x 150 µm mesh zooplankton net fitted with a flowmeter was thrown five meters and retrived through the water column four times orthogonal to water flow, accounting for drift. Flow meter data was recorded to quantify the volume of water sampled. In the canal site where water stage fluctuations occasionally limit the use of a larger net, a 15-cm diameter x 150 µm mesh zooplankton net was thrown five meters and retrieved through the water column four times. Shallow-water nets cannot be fitted with a flowmeter and the volume of water sampled can be determined by the area of the mouth of the net multiplied by the distance towed (π*.0752*20 ~ 0.35m3). All zooplankton samples were preserved in 95% ethanol. Zooplankton were identified to the lowest taxonomic level possible and counted using a dissecting microscope at 8x magnification. Dry carbon biomass conversions either taken from the literature (Dumont 1975) or measured empirically by the Kimmerer Laboratory at San Francisco State’s Romber Tiburon Center were applied to zooplankton species counts to estimate zooplaknton biomass.

Fish growth

Two or three enclosures were deployed at each site (two each at RRSAC2A and RRSAC2B and three everywhere else), each containing 10 PIT-tagged Feather River hatchery-origin juvenile Chinook salmon. Fish enclosures were built with 1-inch PVC, measured 4-feet wide by 4-feet long by 2-feet deep, and encased in ¼-inch black plastic square mesh with a re-sealable access door on the top panel. Fish enclosures were equipped with four bullet-shaped crab floats and tethered to shore. Each week, fish were caught out of their enclosures, scanned for PIT identification, measured for fork length in millimeters, and weighed for mass in grams on an OHAUS Scout Pro portable electronic balance with 0.01g precision. If there was fish mortality, “placebo fish” were added to an enclosure to maintain fish density at 10 fish per enclosure. placebo fish were of identical origin to enclosure fish and were maintained at the UC Davis Center for Aquatic Biology and Aquaculture for the duration of the Pilot Action.

Fish growth data was analyzed in rate of change metrics for fork length, weight, and Fulton’s condition factor. Rate of change (i.e., growth rate) was used to eliminate magnitude of change differences from smaller or larger starting points. Fork length is the most commonly used metric for salmonid size and is useful for comparing to other data. Weight is an important indicator, particularly for floodplain growth, because fish typically put on more mass relative to length in high-food density environments. And Fulton’s condition factor (K = [weight (g) * 100,000]/[fork length3]) is useful for integrating both length and weight metrics into a single unit.

METHODS - Water Year 2021 (October 1, 2020 through September 30, 2021)

Study location

Flooding for the Pilot Action experiment took place in the Colusa Basin on 8,775 acres owned by Reclamation District 108 (RD 108) near Knights Landing, CA. Sampling was conducted in the RD108 canal system immediately before canal water was pumped into the Sacramento River at the Rough and Ready pumping facility (approximately river mile 100), and in the River up- and downstream of the pump discharge location (Figs.2,3).

Figure 2: The 8,775 acres of Reclamation District 108 and River Garden Farms fields inundated and drained as part of the experiment are shaded in blue, water drains via gravity from fields through canals to the Rough and Ready pumping station (yellow star) where it is pumped into the Sacramento River (flowing from north to south). See Figure 2 here: https://cvpia-data-stewardship.s3.us-west-1.amazonaws.com/figures-for-edi/fig_2.png

Figure 3: River monitoring sites with site codes, and approximate RD 108 acreage with distributary canals. See Figure 3 here: https://cvpia-data-stewardship.s3.us-west-1.amazonaws.com/figures-for-edi/fig_3.png

Water management

Starting on October 23, 2020, 14,836 acre-feet of water was used to flood the 8,775 participating managed floodplain acres, and 2,164 of those acres flooded and drained twice during the management period. That twice-drained subset completed the first drain by January 5, 2021 and was reflooded by January 25, 2021. The complete drainage of participating acres February 15 and ended March 8, 2021. Approximately one-quarter of the flooded acreage was drained each week. The Rough and Ready pumping facility can operate over a broad range of export discharge rates between 80-955cfs. For baseline conditions, a single 80cfs pump can be used. For higher discharge rates the facility has five 175cfs pumps which can be run individually or together in various combinations.

Sampling dates and locations

Weekly sampling to assess conditions before and after the Fish Food Management Action in the Sacramento River began November 9, 2020 and continued through March 29, 2021. Sampling for the experimental flood/drain cycles began January 5, 2021 and continued weekly through March 8, 2021.

Site locations (Fig. 3, Table 2) included the drainage canal at the export pumps (RRCAN), in the Sacramento River upstream of the pump discharge (RRSAC1), two locations in the Sacramento River at the pump outfall (RRSAC2A and RRSAC2C), in the Sacramento River one mile downstream of the export pumps (RRSAC4), in the Sacramento River two miles downstream of the pumps (RRSAC5), in the Sacramento River three miles downstream of the pumps (RRSAC6), in the Sacramento River four miles downstream of the pumps (RRSAC7), and in the Sacramento River six miles downstream of the pumps (RRSAC8). Two cage locations were selected at the pump outfall site in the Sacramento River in order to protect against damaged or lost cages at a location that 1) is a popular public fishing spot where potential vandalism was a concern, 2) is located on an outside bend in the river prone to debris accumulation, and 3) where a turbulent upstream eddy forms when the pumps are discharging making tethering cages particularly challenging. The second location (RRSAC2C), immediately downstream of the export pumps and within the outflow plume from the pumping station, was added to create redundancy and alleviate some of these concerns.

Table 2: Sample location codes and descriptions. Site codes with an * next to the code are identical to those sampled in the 2019 Pilot Action.

See Table 2 here: https://cvpia-data-stewardship.s3.us-west-1.amazonaws.com/figures-for-edi/table_2.png

Water quality and Zooplankton sampling

At each sample location, water quality data was collected with a YSI Exo2 multi-parameter sonde. Water quality parameters collected were: temperature (degrees C), dissolved oxygen (mg/L), turbidity (NTU), chlorophyl-a fluorescence (µg/L), blue-green algae fluorescence (µg/L), electrical conductivity (µg/cm), salinity (PSU), and pH. Onset HOBO dissolved oxygen and temperature data loggers were deployed at all locations collecting continuous data at 15-minute intervals.

All sites were sampled for zooplankton diversity and abundance using net tows. In the river, a 30-cm diameter x 150 µm mesh zooplankton net fitted with a flowmeter was thrown five meters and retrived through the water column four times orthogonal to water flow, accounting for drift. Flow meter data was recorded to quantify the volume of water sampled. In the canal site where water stage fluctuations occasionally limit the use of a larger net, a 15-cm diameter x 150 µm mesh zooplankton net was thrown five meters and retrieved through the water column four times. Shallow-water nets cannot be fitted with a flowmeter and the volume of water sampled can be determined by the area of the mouth of the net multiplied by the distance towed (π*.0752*20 ~ 0.35m3). All zooplankton samples were preserved in 95% ethanol. Zooplankton were identified to the lowest taxonomic level possible and counted using a dissecting microscope at 8x magnification. Dry carbon biomass conversions either taken from the literature (Dumont 1975) or measured empirically by the Kimmerer Laboratory at San Francisco State’s Romber Tiburon Center were applied to zooplankton species counts to estimate zooplaknton biomass.

Fish growth

Three enclosures were deployed at each site, each containing 5 PIT-tagged Coleman Hatchery-origin juvenile Chinook salmon. Fish enclosures were built with 1-inch PVC, measured 2-feet wide by 4-feet long by 2-feet deep, and encased in ¼-inch black plastic square mesh with a re-sealable access door on the top panel. Fish enclosures were equipped with four bullet-shaped crab floats and tethered to shore. Each week, fish were caught out of their enclosures, scanned for PIT identification, measured for fork length in millimeters, and weighed for mass in grams on an OHAUS Scout Pro portable electronic balance with 0.01g precision. If there was fish mortality, “placebo fish” were added to an enclosure to maintain fish density at 10 fish per enclosure. placebo fish were of identical origin to enclosure fish and were maintained at the UC Davis Center for Aquatic Biology and Aquaculture for the duration of the Pilot Action.

Fish growth data was analyzed in rate of change metrics for fork length, weight, and Fulton’s condition factor. Rate of change (i.e., growth rate) was used to eliminate magnitude of change differences from smaller or larger starting points. Fork length is the most commonly used metric for salmonid size and is useful for comparing to other data. Weight is an important indicator, particularly for floodplain growth, because fish typically put on more mass relative to length in high-food density environments. And Fulton’s condition factor (K = [weight (g) * 100,000]/[fork length3]) is useful for integrating both length and weight metrics into a single unit.

METHODS - Water Year 2022 (October 1, 2021 through September 30, 2022)

Study location

Flooding for the fish growth experiment took place in the Colusa Basin on 9,943 acres owned by Reclamation District 108 (RD 108) near Knights Landing, CA. Sampling was conducted in the RD108 canal system and in the Sacramento River at the Rough and Ready pumping facility (approximately river mile 100), and in the River up- and downstream of the pump discharge location (Fig.4).

Figure 4: Study location in western Sacramento Valley just north of Knights Landing; The 9,943 acres of Reclamation District 108 and participating farm fields inundated and drained as part of the experiment are shaded in blue, water drains via gravity from fields through canals to the Rough and Ready pumping station (blue star), where it is pumped into the Sacramento River (flowing from north to south). Yellow circles denote zooplankton sample sites. Yellow triangles denote fish cage with zooplankton sample site. Water icons denote agricultural drain/tributary confluences with the river system that were monitored. See Figure 4 here: https://cvpia-data-stewardship.s3.us-west-1.amazonaws.com/figures-for-edi/fig_4.png

Water management – two flood/drain cycles

Starting on November 8, 2021, 12,059 acre-feet of water was used to flood the 9,943 participating managed floodplain acres. Resource managers achieved multiple flood/drain cycles on most of the acreage enrolled in the Fish Food program this year. After fields were drained they were immediately refilled and remained inundated for at least an additional 3 weeks to allow invertebrate food webs to rapidly return to pre-drain densities before being drained again. 8,784 acres was drained starting January 3, 2022 and re-flooded by January 31, 2022. The second, complete drainage began February 7, 2027 and ended March 7, 2022. Approximately one-quarter of the flooded acreage was drained each week. The Rough and Ready pumping facility can operate over a range of export discharge rates between 80-955 cubic feet per second (cfs). For baseline conditions, a single 80cfs pump can be used. For higher discharge rates the facility has five 175cfs pumps that can be run individually or together in various combinations.

Sampling dates and locations

Weekly sampling at all sites in the Rough and Ready canal and Sacramento River began November 8, 2021 and continued through March 28, 2022.

Site locations (Fig. 4, Table 3) include: the drainage canal at the export pumps (RRCAN), Sacramento River upstream of the pump discharge (RRSAC1), Sacramento River upstream at Tyndall Landing (TLSAC), Sacramento River upstream at the Wilkins Slough CDEC station (WLKSAC), two Sacramento River locations at the pump outfall (RRSAC2A and RRSAC2C), Sacramento River one mile downstream of the pumps (RRSAC4), Sacramento River two miles downstream of the pumps (RRSAC5), Sacramento River three miles downstream of the pumps (RRSAC6), Sacramento River four miles downstream of the pumps (RRSAC7), and Sacramento River six miles downstream of the pumps (RRSAC8). Two cage locations were selected at the pump outfall site in the Sacramento River in order to protect against damaged or lost cages at a location that 1) is a popular public fishing spot where potential vandalism was a concern, 2) is located on an outside bend in the river prone to debris accumulation, and 3) where a turbulent upstream eddy forms when the pumps are discharging, making tethering cages particularly challenging. The second location selected this year was different than in 2019 because the dramatic difference in river flow changed the dynamics in the eddy. The second location (RRSAC2C), immediately downstream of the export pumps and within the tail of the eddy, was added to create redundancy and alleviate some of these concerns.

Table 3: Sample location codes and descriptions. Site codes with an * next to the code are identical to those sampled in the 2019 Fish Food program. Site codes with an x next to the code are identical to those sampled in the 2021 Fish Food program.

See Table 3 here: https://cvpia-data-stewardship.s3.us-west-1.amazonaws.com/figures-for-edi/table_3.png

Water quality and zooplankton sampling

At each sample location, water quality data was collected with a YSI Exo2 multi-parameter sonde. Water quality parameters collected were: temperature (degrees C), dissolved oxygen (mg/L), turbidity (NTU), chlorophyl-a fluorescence (µg/L), electrical conductivity (µg/cm), salinity (PSU), and pH. Onset HOBO dissolved oxygen and temperature data loggers were deployed at all locations collecting continuous data at 15-minute intervals. Two oxygen loggers had battery failures during the experiment and their data could not be retrieved, from sites RRSAC1 and RRSAC4.

All sites were sampled for zooplankton diversity and abundance using net tows. A 30-cm diameter x 150 µm mesh zooplankton net fitted with a flowmeter was thrown five meters and retrieved through the water column four times orthogonal to water flow, accounting for drift. Flow meter data was recorded to quantify the volume of water sampled. All zooplankton samples were preserved in 95% ethanol. Zooplankton were identified to the lowest taxonomic level possible and counted using a dissecting microscope at 8x magnification. Dry carbon biomass conversions either taken from the literature (Dumont 1975) or measured empirically by the Kimmerer Laboratory at San Francisco State’s Romber Tiburon Center were applied to zooplankton species counts to estimate zooplankton biomass.

Fish growth

Three fish growth enclosures were deployed at each site, each containing 5 PIT-tagged Coleman Hatchery-origin juvenile Chinook salmon. Fish enclosures were built with 1-inch PVC, measured 2-feet wide by 4-feet long by 2-feet deep, and encased in ¼-inch black plastic square mesh with a re-sealable access door on the top panel. Fish enclosures were equipped with three bullet-shaped crab floats and tethered to shore. Each week, fish were caught out of their enclosures, scanned for PIT identification, measured for fork length in millimeters, and weighed for mass in grams on an OHAUS Scout Pro portable electronic balance with 0.01g precision. If there was fish mortality, “placebo fish” were added to an enclosure to maintain fish density at 5 fish per enclosure. Placebo fish were of identical origin to enclosure fish and were maintained at the UC Davis Center for Aquatic Biology and Aquaculture for the duration of the experiment.

Fish growth data was analyzed in rate of change metrics for fork length and weight. Rate of change (i.e., growth rate) was used to eliminate magnitude of change differences from smaller or larger starting points. Only fish that were originally placed in cages and survived the duration of the experiment, i.e. not placebo fish, were used for growth metric data.

Data analysis

Water quality and zooplankton sampling occurred throughout the multiple cycles however fish from the hatchery only became large enough to tag in early February and were therefore only placed in cages during the second drain cycle. For this reason, analysis of zooplankton and fish data are grouped differently with respect to drainage timing. The fish data were grouped into distinct "before", "during", and "after" drainage event bins. The zooplankton data bins were also named with respect to their coincidence with drainage events, but in only two bins: "during" and "before/after" - including all samples collected before the first drain event started, after the second drain event ended, and between the end of the first event and the start of the second event.

Fork length is the most commonly used metric for salmonid size and is useful for comparing to other data. However, high food-density environments fish typically put on more mass relative to length. Weight metrics are also bi-directional, e.g. in contrast to length, weight can record negative growth in response to poor foraging conditions. Overall, we feel that weight is a more descriptive bioenergetic metric of fish growth and performance in response to biophysical habitat conditions. For these reasons, while we will report both fork length and weight data, we will primarily focus on weight as the response variable in our food web and bioenergetic analyses.

Raw data for temperature, oxygen, zooplankton biomass, and fish growth were plotted over time for a visual assessment of ecosystem effects throughout the experiment. Statistical significance of zooplankton biomass and fish growth results was determined by pairwise ANOVA and Tukey multiple comparison of means testing. Because only one integrated zooplankton sample was collected at each site per week, statistical tests on zooplankton data was done comparing sites during periods of export (n=9) with periods of no export (i.e., “before/after”; n=13) over the entire season in a single test. Because the primary question of this study is focused on effects on in-river fish and ecosystem response as a result of the management action, data from the canal site are displayed on data visualizations but not included in statistical analyses to avoid extraneous sources of variability for both fish and zooplankton analyses.

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: Jacob Montgomery
Organization:California Trout
Email Address:
jacob@caltrout.org
Contacts:
Individual: Jacob Montgomery
Organization:California Trout
Email Address:
jacob@caltrout.org

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2020-11-02
End:
2022-04-25
Geographic Region:
Description:Sacramento Valley, CA
Bounding Coordinates:
Northern:  39.1973Southern:  38.3719
Western:  -122.024Eastern:  -121.6065
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Calanoida
Classification:
Rank Name:Pseudodiaptomidae
Classification:
Rank Name:Pseudodiaptomus
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Pseudodiptomus.Adult ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Calanoida
Classification:
Rank Name:Pseudodiaptomidae
Classification:
Rank Name:Pseudodiaptomus
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Psedodiptomus.copepidite ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Cyclopoida
Classification:
Rank Name:Cyclopidae
Classification:
Rank Name:Acanthocyclops
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Acanthocyclops.adult ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Cyclopoida
Classification:
Rank Name:Cyclopidae
Classification:
Rank Name:Acanthocyclops
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Acanthocyclops.copepididte ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Cyclopoida
Classification:
Rank Name:Cyclopidae
Classification:
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Cyclopoid.sp. ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Cyclopoida
Classification:
Rank Name:Cyclopidae
Classification:
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Cyclopoid.nauplii ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Calanoida
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Calanoid.naulpii ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Hexanauplia
Classification:
Rank Name:Harpacticoida
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:zooplankton
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Harpaticoid ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Daphniidae
Classification:
Rank Name:Daphnia
Classification:
Rank Name:pulex
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Daphnia.pulex ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Daphniidae
Classification:
Rank Name:Daphnia
Classification:
Rank Name:laevis
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Daphnia.laevis ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Daphniidae
Classification:
Rank Name:Daphnia
Classification:
Rank Name:magna
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Daphnia.magna ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Daphniidae
Classification:
Rank Name:Daphnia
Classification:
Rank Name:mendotea
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Daphnia.mendotea ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Daphniidae
Classification:
Rank Name:Ceriodaphnia
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Ceriodaphnia.sp. ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Daphniidae
Classification:
Rank Name:Simocephalus
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Simocephalus.sp. ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Bosminidae
Classification:
Rank Name:Bosmina
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Bosmina.sp. ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Sididae
Classification:
Rank Name:Sida
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Sididae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Chydoridae
Classification:
Rank Name:Chydorus
Classification:
Rank Name:sphaericus
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Chydorus.sphaericus ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Chydoridae
Classification:
Rank Name:Eurycercus
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Eurycercus ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Chydoridae
Classification:
Rank Name:Alona
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Alona ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Chydoridae
Classification:
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Chydoridae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Sididae
Classification:
Rank Name:Diaphanosoma
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Diaphanosoma ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Daphniidae
Classification:
Rank Name:Scapholeberis
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Scapholeberis ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Cladocera.embryo ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Ostracoda
Classification:
Rank Name:Podocopida
Classification:
Rank Name:Cyprididae
Classification:
Rank Name:Eucypris
Classification:
Rank Name:spp
Common Name:seed shrimp
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Eucypris ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Ostracoda
Classification:
Rank Name:Podocopida
Classification:
Rank Name:Cyprididae
Classification:
Rank Name:Ilyocypris
Classification:
Rank Name:spp
Common Name:seed shrimp
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Ilyocypris ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Ostracoda
Classification:
Rank Name:Podocopida
Classification:
Rank Name:Cyprididae
Classification:
Rank Name:Cypridopsis
Classification:
Rank Name:spp
Common Name:seed shrimp
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Cypridopsis ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Malacostraca
Classification:
Rank Name:Amphipoda
Classification:
Rank Name:Gammaridae
Classification:
Rank Name:Gammarus
Classification:
Rank Name:spp
Common Name:scud
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Gammarus ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Rotifera
Rank Value:Chordata
Classification:
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:wheel animal
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Rotifer ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Annelida
Rank Value:Chordata
Classification:
Rank Name:Polychaeta
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:bristle worm
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Polychaete ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Arachnida
Classification:
Rank Name:Trombidiformes
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:water mite
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Acari ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Diptera
Classification:
Rank Name:Chironomidae
Classification:
Classification:
Rank Name:spp
Common Name:midge
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Chironomid.larvae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Annelida
Rank Value:Chordata
Classification:
Rank Name:Clitellata
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:worm
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Oliogochaete ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Molluska
Rank Value:Chordata
Classification:
Rank Name:Gastropoda
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:snail
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Gastropod ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Tardigrada
Rank Value:Chordata
Classification:
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:water bear
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Tardigrade ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Nematoda
Rank Value:Chordata
Classification:
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:roundworm
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Nematode ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Malacostraca
Classification:
Rank Name:Amphipoda
Classification:
Rank Name:Hyalellidae
Classification:
Rank Name:Hyalella
Classification:
Rank Name:spp
Common Name:scud
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Hyalella ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Cnidaria
Rank Value:Chordata
Classification:
Rank Name:Hydrozoa
Classification:
Rank Name:Anthoathecata
Classification:
Rank Name:Hydridae
Classification:
Rank Name:Hydra
Classification:
Rank Name:spp
Common Name:hydra
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Hydra ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:bug
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Terrestrial.insect ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Entognatha
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:springtail
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Collembola ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Ephemoroptera
Classification:
Rank Name:Beatidae
Classification:
Classification:
Rank Name:spp
Common Name:mayfly
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Baetidae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Diptera
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:fly
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Diptera ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Trichoptera
Classification:
Rank Name:Hydroptilidae
Classification:
Classification:
Rank Name:spp
Common Name:caddisfly
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Hydroptilidae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Coleoptera
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:beetle
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Coleoptera ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Ephemoroptera
Classification:
Rank Name:Ephemerellidae
Classification:
Classification:
Rank Name:spp
Common Name:spiny crawler mayfly
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Ephemerellidae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Odonata
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:damselfly
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Odonata ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Molluska
Rank Value:Chordata
Classification:
Rank Name:Bivalvia
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:clam
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Bivalve ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Trichoptera
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:caddisfly
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Trichoptera ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Insecta
Classification:
Rank Name:Hemiptera
Classification:
Rank Name:Corixidae
Classification:
Classification:
Rank Name:spp
Common Name:water boatmen
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Corixidae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Chordata
Rank Value:Chordata
Classification:
Rank Name:Actinopterygii
Classification:
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:larval fish
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Fish.larvae ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Macrothricidae
Classification:
Rank Name:Streblocerus
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Streblocerus ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Malacostraca
Classification:
Rank Name:Amphipoda
Classification:
Classification:
Classification:
Rank Name:spp
Common Name:scud
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Amphipod ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Ilyocryptidae
Classification:
Rank Name:Ilyocryptus
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Ilyocryptus ()
Taxonomic Range:
Classification:
Rank Name:Animalia
Rank Value:Animalia
Classification:
Rank Name:Arthropoda
Rank Value:Chordata
Classification:
Rank Name:Barnchiopoda
Classification:
Rank Name:Cladocera
Classification:
Rank Name:Moinidae
Classification:
Classification:
Rank Name:spp
Common Name:water flea
Identifer:Integrated Taxonomic Information Service (ITIS)
Info for ID: Moina ()

Project

Parent Project Information:

Title:Fish Food on Floodplain Farm Fields 2021
Personnel:
Individual: Jacob Montgomery
Organization:California Trout
Email Address:
jacob@caltrout.org
Role:Project Lead
Additional Award Information:
Funder:United States Bureau of Reclamation
Funder ID:https://www.wikidata.org/wiki/Q1010548
Number:R19AP00036
Title:Food for Fish: Reintegrating floodplain food web productivity into the River Aquatic Ecosystem to Benefit Juvenile Salmon
Additional Award Information:
Funder:United States Bureau of Reclamation
Funder ID:https://www.wikidata.org/wiki/Q1010548
Number:R20AP00312
Title:Food for Fish phase 2: Reintegrating floodplain food web productivity into the River Aquatic Ecosystem to Benefit Juvenile Salmon

Maintenance

Maintenance:
Description:ongoing
Frequency:annually
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'microseimens per centimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = 'siemensPerCentimeter'
        |     |     |     |  \___attribute 'name' = 'microseimens per centimeter'
        |     |     |     |  \___attribute 'unitType' = 'density'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Number of microsiemens per centimeter, conductivity measurement'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'parts per thousand'
        |     |     |     |  \___attribute 'name' = 'parts per thousand'
        |     |     |     |  \___attribute 'unitType' = 'density'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Salinity measure of parts per thousand'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'percent saturation'
        |     |     |     |  \___attribute 'name' = 'percent saturation'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Percent saturation of disolved oxygen'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'pH'
        |     |     |     |  \___attribute 'name' = 'pH'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Measure of potential hydrogen'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Nephelometric Turbidity unit'
        |     |     |     |  \___attribute 'name' = 'Nephelometric Turbidity unit'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Turbidity Units'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'rotation start'
        |     |     |     |  \___attribute 'name' = 'rotation start'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'The start number of the flowmeter rotor'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'rotation end'
        |     |     |     |  \___attribute 'name' = 'rotation end'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'The end number of the flowmeter rotor'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'rank score'
        |     |     |     |  \___attribute 'name' = 'rank score'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Subjective rank score of zooplankton density'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo