Data from: Multitrophic responses to tidal marsh restoration: Early effects of channel configuration on water quality, aquatic food web structure, and fish communities
Data files
May 13, 2026 version files 51.47 MB
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DS_fish_2021-2023.csv
7.29 MB
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DS_metabarcoding_2021_2023.csv
4.30 MB
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DS_metadata_2021-2023.csv
39.72 KB
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DS_waterquality_2021-2023.csv
39.79 MB
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DS_zoops_2021-2023.csv
46.31 KB
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README.md
6.45 KB
Abstract
Introduction: Tidal wetland restoration is critical for reversing habitat loss and enhancing estuarine resilience under accelerating sea‑level rise and climate variability. Dutch Slough in the San Francisco Estuary served as a living laboratory for adaptive management and ecosystem recovery.
Objectives: We assessed early ecological outcomes of a tidal wetland restoration design, focusing on how channel length, complexity, connectivity influence functional recovery and habitat quality across variable climate.
Methods: Two constructed tidal channels and one large open-water feature were monitored from 2021 to 2023 using a Before–After–Reference–Impact (BA:RI) framework. Mixed-effects BA:RI models isolated restoration effects. Data collection integrated continuous water-quality sensors, machine-learning-based zooplankton imaging, and video sampling and environmental DNA (eDNA) for fish. Here, we evaluate aquatic food‑web responses using coordinated indicators spanning primary producer biomass, zooplankton assemblages, and fish abundance and composition during early restoration.
Results: Pre‑breach (2021): Three isolated aquatic food webs formed, and water quality differed significantly from reference sites. Post-breach (2022–23): Conditions shifted toward reference states, with improved dissolved oxygen, dynamic turbidity, and reduced chlorophyll-a linked to shorter residence times and enhanced tidal mixing. Despite lower chlorophyll-a concentrations, observed patterns were consistent with our expectation of altered production pathways characterized by rapid turnover rather than reduced production, suggesting a shift from biomass accumulation toward rapid export and trophic transfer rather than diminished productivity. Longer, more complex channels supported greater habitat heterogeneity, higher zooplankton and juvenile fish densities, especially near vegetated margins, and increased species richness. eDNA and video surveys detected rapid fish taxa increases post-breach, including seasonal expansion of native taxa amid persistent non-native dominance.
Conclusions: Channel length, complexity, and connectivity strongly influence ecological rehabilitation. Adaptive management accelerates functional restoration and improves nursery habitat quality.
Implications for Practice: Restoration designs should prioritize structural complexity, dendritic channels, and vegetated margins to enhance food web support and fish recruitment. Connectivity reduces residence time and drives measurable shifts in water‑quality conditions toward reference states (e.g., dissolved oxygen, turbidity variability, salinity gradients, and chlorophyll‑a), while potentially enhancing nutrient exchange. These strategies increase ecological return on investment by fostering biodiversity and resilience in subsided, highly invaded landscapes. Adaptive management (integrating monitoring with iterative design refinements) remains essential for sustaining benefits under climate change. Practitioners should pair physical complexity with long-term data collection to ensure restored wetlands deliver ecosystem services such as carbon sequestration, flood protection, and fisheries support.
Dataset DOI: 10.5061/dryad.p2ngf1w61
Description of the data and file structure
Data from: Multitrophic responses to tidal marsh restoration: early effects of channel configuration on water quality, aquatic food web structure, and fish communities
Below is a brief summary of dataset contents, contextualized in experimental procedures and results.
All data were collected by Cramer Fish Sciences or from publicly available federal and state datasets.
Five files were uploaded including: fish observation, zooplankton observations, water quality, metadata, and metabarcoding data.
Files and variables
File: DS_fish_2021-2023.csv
Description: fish observation identification, lengths, and counts
Variables
- skeleton: joiner for all tables; consists of "collection date (YYYYMMDD) + Site + Habitat Type + Transect Number"
- Code: short hand code for taxa that corresponds with CommonName
- AMS: American Shad
- BAS: Unknown Bass
- BGS: Bluegill Sunfish
- BKB: Black Bullhead
- BKF: Bluefin Killifish
- BKS: Black Crappie
- BRB: Brown Bullhead
- C: Carp
- CAT: Unknown Catfish
- CRP: Crappie spp.
- Fish: Unknown Fish
- GOB: Unknown Goby
- GSN: Golden Shiner
- HCH: Hitch
- ISS: Inland Silverside
- KLF: Killifish Unknown
- LMB: Largemouth Bass
- LP: Logperch
- LRV: Larval Unknown
- MIN: Unknown Minnow
- MQK: Mosquitofish
- NO: No Catch
- RES: Redear Sunfish
- RKF: Rainwater Killifish
- SASQ: Sacramento Pikeminnow
- SCP: Unknown Sculpin
- SHD: Unknown Shad
- SHM: Shimofuri Goby
- SNF: Unknown Sunfish
- SPTB: Spotted Bass
- TFS: Threadfin Shad
- TP: Tule Perch
- TSS: Threespine Stickleback
- UCT: Unknown Centrarchid
- WAR: Warmouth
- WHC: White Catfish
- WHS: White Crappie
- Number: count of individuals per observation
- Length: measured length of individual in video observation; mm
- CommonName: common name for species
Null Values: All null values for Length variable were not able to be recorded
File: DS_metadata_2021-2023.csv
Description: metadata for all transects
Variables
- skeleton: joiner for all tables; consists of "collection date (YYYYMMDD) + Site + Habitat Type + Transect Number"
- start_time: transect start time; hh:mm:ss
- end_time: transect end time; hh:mm:ss
- volume: volume of water sampled for a given transect; cubic meters
Null Values: All null values for volume variable were not able to be calculated; all start_time and end_time null values were not recorded
File: DS_waterquality_2021-2023.csv
Description: water quality data
Variables
- Phycocyanin: phycocyacin; relative fluorescence units
- Date: date reading was recorded; mm:dd:yyyy
- Time: time reading was recorded; hh:mm:ss
- Temp.C: temperature; celcius
- mmHg: pressure; millimeter mercury
- DO_perc: dissolved oxygen; percent
- DO.mg.L: dissolved oxygen; milligram per Liter
- SPC: specific conductance; microsiemens per centimeter
- Cond: conductance; microsiemens per centimeter
- TDS: total dissolved solids; milligram per liter
- SAL: salinity; practical salinity units
- pH: potential of hydrogen; millivolts
- Turb_FNU: turbidity; formazin nephelometric units
- BGA.PC.ug.L: blue green algae; micrograms per liter
- Chlorophyll: chlorophyll a; relative fluorescence units
- Lat: latitude
- Lon: longitude
- skeleton: joiner for all tables; consists of "collection date (YYYYMMDD) + Site + Habitat Type + Transect Number"
File: DS_zoops_2021-2023.csv
Description: zooplankton observation counts, totals, and cpue
Variables
- skeleton: joiner for all tables; consists of "collection date (YYYYMMDD) + Site + Habitat Type + Transect Number"
- total_copes: total copepods identified in a given transect
- total_clads: total cladocerans identified in a given transect
- total_amphs: total amphipods identified in a given transect
- total_zoops: sum of all total copepods, cladocerans, and amphipods idenitified in a given transect
- num_images: number of images processed per transect
- zoops_p_image: CPUE calculate by taking total_zoops and dividing it by the number of images for a given transect
- vol_cm3: volume water sampled in front of camera per transect
- zoop_CPUE: zooplankton catch per unit volume per transect
File: DS_metabarcoding_2021_2023.csv
Description: eDNA/metabarcoding
Variables
- MetabarcodingID: Unique sample identifier
- Report_CommonName_nosymbol: Common name of the detected species
- Report_SciName_nosymbol: Scientific name of the detected species
- Type: Organism type: fish, mammal, herp or bird
- Status: For fish, designates if the species is native of non-native
- date: Date of sample collection YYYYMMDD format
- year: Year of sample collection YYYY format
- name: Site code, specific sampling location, and placement of transect in relation to shoreline: EM=Emerson, GB=Gilbert, DB=Deep Borrow, C1-4=creek segments, DS=Dutch Slough, CT=Control sites 1-4, NS=Near Shore, OW=Open Water, PT=point sample (collected from shore)
- date_format: Date of sample collection reformatted as a date object, yyyy-mm-dd
- date_site: Date and site combined into one field
- filter_rep: Filter replicate (A, B, C or D)
- vol_filtered_ml: Volume of water filtered through each filter replicate at a given date and site
- location: Site code and specific sampling location only: EM=Emerson, GB=Gilbert, DB=Deep Borrow, C1-4=creek segments, DS=Dutch Slough, CT=Control sites 1-4
- location_broad: Broad location classification (Emerson, Gilbert, Deep Borrow or Control 1-4)
- month: Sample collection month
- year_month: Sample collection month and year combined
- ESVsize_corrected_final: Count of DNA sequences (ESVs) detected within the given sample ID for the listed species
- breach_status: Designates whether the levees were breached or intact for the restored sites. Post-breach indicates that the levees were breached and the restored sites were connected to the references (control, Delta)
Null Values: All null values for vol_filtered_ml variable were not recorded
Code/software
All data packages are viewable using Microsoft Excel or any text reader.
