Data Package Metadata   View Summary

Dissolved CO2 and CH4 dynamics in Delmarva headwater wetlands, 2020-2022

General Information
Data Package:
Local Identifier:edi.1601.1
Title:Dissolved CO2 and CH4 dynamics in Delmarva headwater wetlands, 2020-2022
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This data product includes measurements of dissolved CO2 and CH4 in surface water and groundwater, along with hydrological and biogeochemical variables, across 20 headwater wetlands in the Delmarva Peninsula in the Mid-Atlantic region of the United States. Greenhouse gas samples and water chemistry samples were collected every 1-3 months over a period of 2 years. We also monitored water level at each of the wetlands with a pressure transducer.

Publication Date:2024-03-14
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2020-08-01
End:
2022-12-15

People and Organizations
Contact:López Lloreda, Carla (Virginia Tech) [  email ]
Creator:López Lloreda, Carla (Virginia Tech)
Creator:Maze, James (University of Oregon)
Creator:Wardinski, Katherine (Virginia Tech)
Creator:Corline, Nicholas (Virginia Tech)
Creator:McLaughlin, Daniel (Virginia Tech)
Creator:Jones, C Nathan (University of Alabama)
Creator:Scott, Durelle (Virginia Tech)
Creator:Palmer, Margaret (University of Maryland)
Creator:Hotchkiss, Erin R (Virginia Tech)

Data Entities
Data Table Name:
Merged_synoptic
Description:
Water chemistry and field physicochemical measurements for all sampling dates and sites, including samples for groundwater and surface water
Data Table Name:
Wetland_info
Description:
Topographical metrics for each wetland site
Data Table Name:
Daily mean water level
Description:
Wetland surface water level for synoptic sites. This is data corrected for atmospheric pressure.
Other Name:
01-GHG-processing
Description:
Script used to calculate CO2 and CH4 concentrations from headspace samples
Other Name:
02-Site boxplots
Description:
Script to evaluate and plot differences in CO2 and CH4 between wetlands
Other Name:
03a-Calculating-CVs
Description:
Script to calculate spatial and temporal coefficients of variation
Other Name:
03b-Plotting-CVs
Description:
Script to plot coefficients of variation
Other Name:
04-SW-GW comparison
Description:
Script to evaluate and plot differences between surface water and groundwater
Other Name:
05-Plotting-wetland-characteristics
Description:
Script to evaluate and plot relationships between CO2 and CH4 with wetland variables
Other Name:
06-Time-series
Description:
Script to plot time-series of CO2 and CH4
Other Name:
07-LME-DMV
Description:
Script for linear mixed-effects model
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1601/1/e429714213f15475ff904f557918e21b
Name:Merged_synoptic
Description:Water chemistry and field physicochemical measurements for all sampling dates and sites, including samples for groundwater and surface water
Number of Records:566
Number of Columns:46

Table Structure
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Table Column Descriptions
 Site_IDDate_correctedSiteSample_TypeCO2_uMCH4_uMSite_newmonthyearwatershedwetland_complexTimeUW_SWpHSpCDO_percentDO_mgLTemp_CGen_NotesField_flagField_Flag_NotesGrab_flagGrab_Flag_NotesAtm_pressure_mBarMonthwell_typeSite_dryClSO4d18Od2HNPOCNH4NO3oPO4TDNTDPTNTPDICX54FeX55MnyymmdCH4_CO2NH4_NO3
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Date_corrected  
Site  
Sample_Type  
CO2_uM  
CH4_uM  
Site_new  
month  
year  
watershed  
wetland_complex  
Time  
UW_SW  
pH  
SpC  
DO_percent  
DO_mgL  
Temp_C  
Gen_Notes  
Field_flag  
Field_Flag_Notes  
Grab_flag  
Grab_Flag_Notes  
Atm_pressure_mBar  
Month  
well_type  
Site_dry  
Cl  
SO4  
d18O  
d2H  
NPOC  
NH3  
NO3  
oPO4  
TDN  
TDP  
TN  
TP  
DIC  
Fe  
Mn  
yymm  
d  
CH4_CO2  
NH4_NO3  
Definition:Wetland site IDDate the sample was takenWetland site name included its sample type (surface water, groundwater, river, or channel well)Indicates where the sample was taken from (surface water, groundwater, river, or channel well)Concentrations of carbon dioxide (CO2)Concentrations of methane in water (CH4)Wetland ID number without site nameMonth of the yearSampling yearThe wetland complex each wetland is a part ofThe watershed each wetland is inTime of samplingWhether the sample is collected from surface water or groundwater (UW)pH of the water sample, taken with a YSI ProDssSpecific conductivity of the water sampleDissolved oxygen from the water sampleDissolved oxygen concentrations in the water samplesTemperature of the water sampleGeneral lab notesField flagsNotes on the field flagFlag for sample collectionNotes on the sampling flagAtmospheric pressureSampling monthDenotes if a well was a channel, groundwater or wetland wellIndicates whether wetland was dry or inundatedChloride concentrations in water sampleSulfate concentrations in water sampleDelta 18O in water sampleDelta 2H in water sampleDissolved organic carbonAmmonium (NH4) in water sampleNitrate (NO3) in water sampleOrthophosphate in water sampleTotal dissolved nitrogen in water sampleTotal dissolved phosphorus in water sampleTotal nitrogenTotal phosphorusDissolved inorganic carbon in water sampleDissolved iron in water sampleConcentrations of manganese (Mn) in water samplesColumn for year/monthDeuterium excessThe ratio of methane (CH4) to carbon dioxide (CO2)The ratio of ammonium (NH4) to nitrate (NO3)
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Coverage:                                                                                            
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Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1601/1/56b8bd8d9f3d8c5d94a8e4b00a41893a
Name:Wetland_info
Description:Topographical metrics for each wetland site
Number of Records:20
Number of Columns:22

Table Structure
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Table Column Descriptions
 wetland_IDwetland_namenew_site_IDsite_IDLatitudeLongitudepropertymean_gap_fracsd_gap_fracsubshed_area_m2watershed_area_m2wetland_storage_volume_m3wetland_hsc_cmwatershed_hsc_cmperimeter_marea_m2p_a_ratiohand_mmean_elevation_mwet_orderveg_typewl_mean_m
Column Name:wetland_ID  
wetland_name  
new_site_ID  
site_ID  
Latitude  
Longitude  
property  
mean_gap_frac  
sd_gap_frac  
subshed_area_m2  
watershed_area_m2  
wetland_storage_volume_m3  
wetland_hsc_cm  
watershed_hsc_cm  
perimeter_m  
area_m2  
p_a_ratio  
hand_m  
mean_elevation_m  
wet_order  
veg_type  
wl_mean_m  
Definition:Wetland name IDFull wetland nameNumbered site IDWetland site IDLatitudeLongitudeProperty the wetland is located inMean canopy coverStandard deviation of the canopy coverSubshed areaWatershed areaWetland maximum storage volumeWetland HAND-based storage capacityWatershed HAND-based storage capacityWetland perimeterWetland maximum inundated areaRatio of wetland perimeter to wetland areaHeight above the nearest drainageMean wetland elevation (ASL)Wetland orderDominant vegetation typeWetland water level mean
Storage Type:string  
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Accuracy Report:                                            
Accuracy Assessment:                                            
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Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1601/1/072fcfee3e303a0c27f3c6dc703e1d29
Name:Daily mean water level
Description:Wetland surface water level for synoptic sites. This is data corrected for atmospheric pressure.
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Table Column Descriptions
 DateSite_IDdly_mean_wtrlvlFlagNotes
Column Name:Date  
Site_ID  
dly_mean_wtrlvl  
Flag  
Notes  
Definition:Measurement dateWetland site IDDaily mean water levelData flagNotes on the data
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Non-Categorized Data Resource

Name:01-GHG-processing
Entity Type:.R
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Name:05-Plotting-wetland-characteristics
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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:
(No thesaurus)spatiotemporal variability, greenhouse gases
LTER Controlled Vocabularycarbon, wetlands, biogeochemistry, carbon dioxide, methane

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:

Synoptic sampling: Surface water and groundwater collection

We sampled surface and groundwater at 20 wetland sites 11 times from November 2020 to December 2022, every 1-3 months. Surface water samples were collected from the center of each wetland using a bucket attached to a long pole to gently bring water to the wetland’s edge for processing (see below) to minimize sediment disturbance or reaeration. When the wetland was dry, we sampled from a well located near the middle of the wetland. To sample groundwater, we pumped water from each well using a peristaltic pump (Geopump Peristaltic DC pump, Geotech, Denver, CO, USA). Wells were purged for two to five minutes or until dry and after purging, wells were left to rebound before sampling. We then used the pump at the lowest rate to slowly collect groundwater into the sampling bucket. During surface water and groundwater sampling, we measured dissolved oxygen (DO), pH, water temperature, and conductivity using a YSI ProDSS handheld meter (YSI, Yellowsprings, OH, USA) after water was removed for CO2 and CH4 samples and other water chemistry analyses.

Description:

Greenhouse gas and water chemistry sampling and analysis

We sampled dissolved CO2 and CH4 using the headspace equilibration method (Bansal and others 2023). A 20ml bubble-free sample of surface water or groundwater from the sampling bucket was pulled into a 60mL syringe, and 20mL of headspace as ambient air was added to each syringe before closing the syringe off from the atmosphere with a stopcock. The water samples were then equilibrated by shaking for 2-3 minutes. Headspace samples were then transferred to sealed 20ml glass vials filled with ambient air while simultaneously flushing which displaces the air in the vial with the gas sample (Bretz and others 2021). Ambient air samples were taken to account for air CO2 and CH4 concentrations when converting equilibrated headspace concentrations to wetland water concentrations. All samples, including air samples, were collected in triplicates. We analyzed headspace samples and ambient air samples for CO2 and CH4 on a gas chromatograph (Shimadzu Nexis GC-2030).

To assess parameters that may be associated with CO2 and CH4 dynamics, we took samples for dissolved organic carbon (DOC), water isotopes (d18O and d2H), nutrients, and ions. DOC samples were filtered through a 0.7μM pre-ashed glass fiber filter (GFF) into acid washed and ashed amber glass vials in the field, kept on ice until acidified with HCl to a pH of ~2, and refrigerated at 4℃ until analysis. DOC samples were analyzed within two weeks of collection by measuring non-purgeable organic carbon on a Shimadzu TOC-Vcph Carbon Analyzer. Water isotope samples were filtered with 0.45μm polyethersulfone (PES) membrane filters into clear, glass vials in the field and stored at room temperature until analysis on a Picarro L1102-i Isotopic Liquid Water and Water Vapor Analyzer. Triplicate nutrient samples (total dissolved nitrogen [TDN], total dissolved phosphorus [TDP], and ammonium [NH4+]) and ions (chloride [Cl-], sulfate [SO42-], and nitrate [NO3-]) were filtered through 0.45μm PES filters into 60 ml acid-washed HDPE bottles in the field, kept on ice in the field and then frozen at -20℃ until analysis. TDN, TDP, NO3-, and NH4+ were analyzed on a SEAL AutoAnalyzer 3 within two months of collection. Chloride (Cl-) and sulfate (SO42-) were analyzed on a Dionex ICS-3000. Sodium (Na+), dissolved iron (Fe), and dissolved manganese (Mn) were analyzed on a Thermo iCAP RQ inductively coupled plasma with mass spectrometer (ICP-MS).

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: Carla López Lloreda
Organization:Virginia Tech
Email Address:
carlalopez@vt.edu
Id:https://orcid.org/0000-0002-7983-1741
Individual: James Maze
Organization:University of Oregon
Email Address:
jmaze@uoregon.edu
Id:https://orcid.org/0009-0002-3368-5870
Individual: Katherine Wardinski
Organization:Virginia Tech
Email Address:
wardinskik@vt.edu
Id:https://orcid.org/0000-0002-3722-5663
Individual: Nicholas Corline
Organization:Virginia Tech
Email Address:
njcorline@vt.edu
Id:https://orcid.org/0000-0001-7236-7758
Individual: Daniel McLaughlin
Organization:Virginia Tech
Email Address:
mclaugd@vt.edu
Id:https://orcid.org/0000-0001-7394-4780
Individual: C Nathan Jones
Organization:University of Alabama
Email Address:
cnjones7@ua.edu
Id:https://orcid.org/0000-0002-5804-0510
Individual: Durelle Scott
Organization:Virginia Tech
Email Address:
dscott@vt.edu
Id:https://orcid.org/0000-0002-5792-789X
Individual: Margaret Palmer
Organization:University of Maryland
Email Address:
mpalmer@umd.edu
Id:https://orcid.org/0000-0003-1468-7993
Individual: Erin R Hotchkiss
Organization:Virginia Tech
Email Address:
ehotchkiss@vt.edu
Id:https://orcid.org/0000-0001-6132-9107
Contacts:
Individual: Carla López Lloreda
Organization:Virginia Tech
Email Address:
carlalopez@vt.edu
Id:https://orcid.org/0000-0002-7983-1741

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2020-08-01
End:
2022-12-15
Geographic Region:
Description:Locations for wetlands in the Delmarva Peninsula
Bounding Coordinates:
Northern:  39.0652752Southern:  39.05331
Western:  -75.8352278Eastern:  -75.7445578

Project

Parent Project Information:

Title:Hydrologic Connectivity and Water Storage as Drivers of Carbon Export and Emissions from Wetland-Dominated Catchments
Personnel:
Individual: James Maze
Email Address:
jmaze@uoregon.edu
Id:https://orcid.org/0009-0002-3368-5870
Role:Technician
Abstract:

Worldwide, rich forested wetlands have been converted to agriculture through ditching and draining. These wetlands are important for regional water and carbon cycles. They reduce downstream flooding through water storage, providing dissolved organic carbon to downstream ecosystems, and contributing to carbon storage. While efforts are being made to restore drained wetlands, recovery of ecosystem services has lagged. Research is urgently needed to understand how hydrology influences delivery of wetland ecosystem services to guide future restoration and management. This project will investigate water movement and carbon cycling in wetland-rich Delmarva Bay. Research will focus on freshwater wetlands that are often isolated from adjacent rivers. These small wetlands are vulnerable to land-use change, and their impact on regional water and carbon cycling is poorly understood. This research will inform management, contribute to meeting national research priorities, and build capacity in the scientific workforce. Students will be engaged in all aspects of the research, as well as in interactive meetings with managers and training workshops on actionable science. This project will also provide data on carbon budgets and in advancing next-generation models to estimate carbon dynamics.

This research will test the hypothesis that water storage capacity (WSC), or the amount of water a single wetland or group of wetlands can store, is a principal driver of wetland- and catchment-scale hydrology, carbon emissions, and downstream carbon export. Using coupled empirical and modeling components, this project will quantify: (1) WSC at wetland and catchment scales and resulting variation in water levels, residence time, and water export; and (2) consequent influences to carbon dynamics at both wetland (DOC concentration and composition, CH4 and CO2 emissions) and catchment scales (DOC export and composition, CH4 and CO2 export). Linked hydrologic and biogeochemical data will be collected in 18 wetlands across six study catchments that vary in WSC, with more intensive data collection (e.g., in situ, high temporal resolution) within one wetland per catchment. At the catchment scale, each catchment outlet will be monitored for time series of water discharge and carbon composition and export. Derived empirical relationships and calibrated process-based hydrologic models will advance predictive understanding of wetland carbon emissions and the shunting of DOC, CO2, and CH4 from upstream wetlands to catchment outlets. Expected outcomes linking WSC and associated hydrologic controls on carbon biogeochemistry are required to inform restoration practice and global carbon models.

Additional Award Information:
Funder:National Science Foundation Division of Environmental Biology
Number:1856560
Title:Hydrologic Connectivity and Water Storage as Drivers of Carbon Export and Emissions from Wetland-Dominated Catchments

Maintenance

Maintenance:
Description:

Data collection is completed

Frequency:asNeeded
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'microsiemensPerCentimeter'
        |     |     |     |  \___attribute 'name' = 'microsiemensPerCentimeter'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'month'
        |     |     |     |  \___attribute 'name' = 'month'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'pH'
        |     |     |     |  \___attribute 'name' = 'pH'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'miligramNPerLiter'
        |     |     |     |  \___attribute 'name' = 'miligramNPerLiter'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'miligramPPerLiter'
        |     |     |     |  \___attribute 'name' = 'miligramPPerLiter'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'miligramCPerLiter'
        |     |     |     |  \___attribute 'name' = 'miligramCPerLiter'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'wetland order'
        |     |     |     |  \___attribute 'name' = 'wetland order'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.02.21'
        |     |___text '\n      '
        |___text '\n   '

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

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