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Water chemistry data including nitrate stable isotopes sampled from zero-tension lysimeters in an Iowa corn-soybean field in 2017 and 2018

General Information
Data Package:
Local Identifier:edi.1674.1
Title:Water chemistry data including nitrate stable isotopes sampled from zero-tension lysimeters in an Iowa corn-soybean field in 2017 and 2018
Alternate Identifier:DOI PLACE HOLDER
Abstract:

These data were used in the manuscript titled "Mechanisms underlying episodic nitrate and phosphorus leaching from poorly drained agricultural soils" published in the Journal of Environmental Quality. We measured nitrate, ammonium, and phosphate concentrations in zero-tension lysimeters installed along a topographic gradient in a corn and soybean field in north-central Iowa, USA, during 2017 and 2018. We measured nitrate stable isotope compositions in a subset of lysimeter samples. Concentrations of nitrate, ammonium, and ferrous and ferric iron were measured in periodic soil extractions co-located with the lysimeters.

Publication Date:2024-06-14
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2017
End:
2018

People and Organizations
Contact:Hall, Steven J (University of Wisconsin-Madison) [  email ]
Creator:Hall, Steven J (University of Wisconsin-Madison)
Creator:Lawrence, Nathaniel C (Savanna Institute)

Data Entities
Data Table Name:
lysimeter_data_EDI
Description:
Water chemistry data from 2017-2018 lysimeter samples
Data Table Name:
soil_extraction_for_EDI
Description:
Soil chemical extraction data from samples collected adjacent to lysimeters
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1674/1/b654c82b5b50b3312e8f6a5bea994a5b
Name:lysimeter_data_EDI
Description:Water chemistry data from 2017-2018 lysimeter samples
Number of Records:921
Number of Columns:15

Table Structure
Object Name:lysimeter_data_EDI.csv
Size:60591 byte
Authentication:98f589812c4432c43aadd1f85dcd5860 Calculated By MD5
Text Format:
Number of Header Lines:1
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Simple Delimited:
Field Delimiter:,
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Table Column Descriptions
 dateplotelevation_mdrainage_mmnitrateN_mgLammoniumN_mgLSRP_mgLnitrate_d15NAirnitrate_d18OVSMOWnitrateN_kg_haammoniumN_kg_haSRP_kg_hadaily_precip_mmcumulative_precip_mminundation_mm
Column Name:date  
plot  
elevation_m  
drainage_mm  
nitrateN_mgL  
ammoniumN_mgL  
SRP_mgL  
nitrate_d15NAir  
nitrate_d18OVSMOW  
nitrateN_kg_ha  
ammoniumN_kg_ha  
SRP_kg_ha  
daily_precip_mm  
cumulative_precip_mm  
inundation_mm  
Definition:DateSampling plot, where 1 is the bottom of the transect and 8 is the top, and 0 refers to measurements independent of any sampling plotElevation of each sampling plot relative to the bottom of the transectDrainage measured in each lysimeterNitrate-nitrogen concentration of lysimeter sampleAmmonium-nitrogen concentration of lysimeter sampleSoluble reactive phosphorus concentration in lysimeter sampleNitrogen isotope composition of nitrate expressed as delta value relative to the atmospheric air standardOxygen isotope composition of nitrate expressed as delta value relative to VSMOW standardNitrate-nitrogen mass yield measured in a lysimeter sampleAmmonium-nitrogen mass yield of a lysimeter sampleSoluble reactive phosphorus mass yield in a lysimeter sampleDaily precipitationCumulative annual precipitationStanding water measured at the bottom of the depression
Storage Type:dateTime  
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float  
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Measurement Type:dateTimeratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
FormatYYYY-MM-DD
Precision
Unitdimensionless
Typeinteger
Unitmeter
Typereal
Unitmillimeter
Typereal
UnitmilligramPerLiter
Typereal
UnitmilligramPerLiter
Typereal
UnitmilligramPerLiter
Typereal
Unitpermil
Typereal
Unitpermil
Typereal
UnitkilogramPerHectare
Typereal
UnitkilogramPerHectare
Typereal
UnitkilogramPerHectare
Typereal
Unitmillimeter
Typereal
Unitmillimeter
Typereal
Unitmillimeter
Typereal
Missing Value Code:    
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CodeNA
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Accuracy Report:                              
Accuracy Assessment:                              
Coverage:                              
Methods:                              

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1674/1/ee8c10870966b0104e0212fcc49ceaf9
Name:soil_extraction_for_EDI
Description:Soil chemical extraction data from samples collected adjacent to lysimeters
Number of Records:112
Number of Columns:8

Table Structure
Object Name:soil_extraction_for_EDI.csv
Size:4169 byte
Authentication:10de6b2f5a28aaae94c913dd42da546b Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 DOYyearplotelevation_mnitrateN_mg_kgammoniumN_mg_kgFeII_mg_kgFeIII_mg_kg
Column Name:DOY  
year  
plot  
elevation_m  
nitrateN_mg_kg  
ammoniumN_mg_kg  
FeII_mg_kg  
FeIII_mg_kg  
Definition:Day of yearYearSampling plot, where 1 is the bottom of the transect and 8 is the top,Elevation of each sampling plot relative to the bottom of the transectNitrate-nitrogen in a 2 M potassium chloride extractionAmmonium-nitrogen concentration measured in a 2 M potassium chloride extractionFerrous iron concentration measured in a 0.5 M hydrochloric acid extractionFerric iron concentration measured in a 0.5 M hydrochloric acid extraction
Storage Type:float  
dateTime  
float  
float  
float  
float  
float  
float  
Measurement Type:ratiodateTimeratioratioratioratioratioratio
Measurement Values Domain:
UnitDay of year
Typeinteger
FormatYYYY
Precision
Unitdimensionless
Typeinteger
Unitmeter
Typereal
UnitmilligramPerKilogram
Typereal
UnitmilligramPerKilogram
Typereal
UnitmilligramPerKilogram
Typereal
UnitmilligramPerKilogram
Typereal
Missing Value Code:                
Accuracy Report:                
Accuracy Assessment:                
Coverage:                
Methods:                

Data Package Usage Rights

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

Keywords

By Thesaurus:
(No thesaurus)tile drainage, subsurface drainage, wetland, nitrate stable isotope
LTER Controlled Vocabularywater quality, phosphorus, nitrate, redox, agriculture, iron

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:

These methods are duplicated from the manuscript by Lawrence and Hall in Journal of Environmental Quality. We sampled a traditional corn-soybean (Zea mays-Glycine max) cropping system near Ames, IA, USA (41.982 °N, 93.687 °W). Soils spanned very poorly drained Okoboji series (fine, smectitic, mesic Cumulic Vertic Endoaquolls) in the depression to moderately well drained Clarion series (fine-loamy, mixed, superactive, mesic Typic Hapludolls) in the upland. This depression often floods for days to weeks during wet periods despite subsurface tile drainage and a surface inlet (Martin et al. 2019). Corn and soybean were grown in 2017 and 2018, respectively. Monoammonium phosphate (MAP) fertilizer was broadcast in December 2016 (18 kg N ha-1 and 39 kg P ha-1). Urea ammonium nitrate (UAN) was applied on 4 April 2017 (112 kg N ha-1) and again on 9 June 2017 (67 kg N ha-1). The field was chisel-plowed after corn harvest in 2017 and was cultivated before planting in both years.

Experimental design

Between January 2017 and December 2018, we monitored 8 plots along a linear topographic gradient from the bottom of a depression into the surrounding upland. The transect spanned 120 m with 2.25 m of elevation change. Plots 1–3 were located within the depression and were most likely to pond water, plots 4 and 5 were in the transition zone between the depression and the upland, and plots 6–8 were in upland soils. Lysimeters were installed at 35 cm depth, chosen because soil organic carbon and N, denitrification rate, and extractable nitrate were greatest above 30 cm (McCarty and Bremner 1992; Cambardella et al. 1999). Similarly, most root biomass in Iowa fields was above 30 cm (Nichols et al. 2019), and much of the annual nutrient leaching occurs during spring before roots have established (Daigh et al. 2015). Finally, the 35 cm lysimeter depth was chosen to enable sampling above typical groundwater depth, acknowledging that surface water often ponds from above in depressions due to accumulation of overland flow, and that groundwater rise may sometimes contribute to depressional ponding (Khan and Fenton 1994; Arenas et al. 2018; Schilling et al. 2018). In cases where groundwater rise contributed to lysimeter samples, we would not necessarily expect systematic changes in measured nutrient concentrations, since the groundwater is predominantly derived from nearby infiltration and its chemical composition may be influenced by biogeochemical processes near the lysimeter (Figure S1).

To capture drainage, we used zero-tension lysimeters that diverted infiltration to a buried container. Lysimeters were constructed from 35-cm lengths of 20.3-cm diameter polyvinylchloride (PVC) tubing cut lengthwise to create a half cylinder (Williams et al. 1996; Figure S1). One side was sealed with a halved PVC socket cap and a hose barb outlet was threaded into the base. The top of each lysimeter was installed at 35 cm depth into the sidewall of a soil pit excavated by shovel to ~1 m depth; pits were dug downslope to avoid disturbing overlying soil. Each lysimeter was filled with washed sand and pressed from below into overlying soil (Figure S2). Subsamples of washed sand yielded no measurable nitrate (<0.1 mg N L-1). Quartz wool was installed at the lysimeter outlet, which was connected to a 2 L high-density polyethylene bottle with compression couplings and vinyl tubing (Figure S2). Separate vinyl tubing extended from the bottle to the soil surface, protected by an external PVC tube. Field operations sometimes broke the sampling tubing, and plots 4 and 8 could not be sampled during early summer of 2017, so these data were not reported in 2017. Several additional sampling tubes were destroyed by tillage in November 2017 and these lysimeters were replaced prior to 2018.

Lysimeters were sampled within 24 h of snowmelt or rainfall and at 2-d intervals thereafter using a peristaltic pump until lysimeters did not yield water. A 35 mL subsample was filtered through pre-combusted Whatman GF/F glass fiber filters (0.7 µm pore size) and frozen at -20° C. The P in these samples is interpreted as SRP. Total sample volume was recorded and nutrient yield was calculated as the product of analyte concentration and sample volume divided by lysimeter area (724 cm2). Sample volume was occasionally limited by the collection bottle, which was full for 37 samples. Drainage was likely underestimated in these cases, and we do not report total cumulative nutrient mass yields in this study because of this uncertainty. Another assumption of the method is that soil water generally moves downward; this may be violated in wet conditions when a high water table in the uplands produces groundwater flow into the depressions (Arenas et al. 2018; Schilling et al. 2018). When soils were saturated, our measurements might overestimate true infiltration volume as sampling may have promoted flow into the lysimeter. To provide additional context, we report surface water ponding depth measured during the growing season (mid-May through mid-October) as previously reported by Martin et al. (2019). Briefly, a vented pressure transducer (corrected for barometric pressure) was installed in a stilling well to measure water depth above the soil surface at the depression bottom.

Soil measurements

We collected soil samples to understand how soil nutrient concentrations and redox state related to leaching. Three cores (7.3 cm diameter x 10 cm depth) were collected adjacent to each lysimeter at approximately monthly intervals when soil was not frozen. Soils were collected immediately adjacent to the crop rows, at the midpoint between rows, and at one intermediate location. Values from the three cores were averaged by sampling plot. Six sampling dates from 2017 and eight from 2018 yielded 336 soil samples. We measured Fe(III) and Fe(II) extracted by 0.5 M hydrochloric acid (HCl). The anaerobic metabolic process of Fe reduction is less energetically favorable than denitrification and increased Fe(II) can indicate soils where denitrification was likely to occur or had recently occurred, evidenced by a strong correlation between Fe(II) and denitrification enzyme activity in a previous study (Hall et al. 2016).

Immediately after soil sampling, a subsample was immersed in the field in a centrifuge tube with 0.5 M HCl in a 1:10 soil to solution ratio, solubilizing adsorbed Fe and highly reactive Fe minerals (Thompson et al. 2011) while suppressing Fe(II) oxidation due to low pH. Soil mass was calculated by weighing tubes before and after sampling and correcting for gravimetric moisture measured on separate subsamples. Tubes were processed within 6 h as described below.

We used 2 M potassium chloride (KCl) extractions in a 1:5 soil to solution ratio to quantify ammonium and nitrate. These data were previously published in a study on nitrous oxide emissions (Lawrence et al. 2021) and are used here to interpret nutrient leaching dynamics. The HCl and KCl extraction data were also used as covariates in a published study focused on microbial community analysis (Yu et al. 2021), but spatiotemporal trends were not analyzed. The slurries of soil and HCl or KCl were vortexed for 1 min, extracted for 1 h on a rotary shaker, centrifuged at 10,000 g for 10 min, and solutions were decanted to clean containers for storage at 4° C (HCl) and -20° C (KCl).

Chemical analysis

Nitrate, ammonium, SRP, and Fe(II) and Fe(III) were quantified colorimetrically on a 96-well microplate reader (Biotek Synergy HT, Winooski, VT) with standards in appropriate matrices included on each individual plate (D’Angelo et al. 2001; Doane and Horwáth 2003; Huang and Hall 2017b). SRP could not be measured on six leachate samples with insufficient sample volume.

A subset of lysimeter samples (130 of 180 total) spanning the study period was analyzed for nitrate d15N and d18O at the University of California-Davis using the bacterial denitrification method (Sigman et al. 2001). Isotope ratios are reported using δ notation relative to air for 15N and Vienna Standard Mean Ocean Water for 18O. Bulk δ15N in soils collected at 0–10 cm, 10–20 cm, and 20–30 cm from eight plots spaced equally along the transect was measured using an elemental analyzer and isotope ratio mass spectrometer at Iowa State University. The soil d15N data are discussed in greater detail by Huang et al. (2023).

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: Steven J Hall
Organization:University of Wisconsin-Madison
Email Address:
steven.hall@wisc.edu
Id:https://orcid.org/0000-0002-7841-2019
Individual: Nathaniel C Lawrence
Organization:Savanna Institute
Email Address:
nate@savannainstitute.org
Id:https://orcid.org/0000-0001-6775-514X
Contacts:
Individual: Steven J Hall
Organization:University of Wisconsin-Madison
Email Address:
steven.hall@wisc.edu
Id:https://orcid.org/0000-0002-7841-2019

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2017
End:
2018
Geographic Region:
Description:An agricultural field in north-central Iowa, USA
Bounding Coordinates:
Northern:  41.985Southern:  41.981
Western:  -93.688Eastern:  -93.686

Project

Parent Project Information:

Title:Topgraphic impacts on water quality in a poorly drained agricultural field
Personnel:
Individual: Steven J Hall
Organization:University of Wisconsin-Madison
Email Address:
steven.hall@wisc.edu
Id:https://orcid.org/0000-0002-7841-2019
Role:PI
Individual: Nathaniel C Lawrence
Organization:Savanna Institute
Email Address:
nate@savannainstitute.org
Id:https://orcid.org/0000-0001-6775-514X
Role:Graduate Student
Abstract:

Poorly drained depressions within tile-drained croplands can have disproportionate environmental and agronomic impacts, but mechanisms controlling nutrient leaching remain poorly understood. We monitored nitrate and soluble reactive phosphorus (SRP) leaching using zero-tension soil lysimeters across a depression to upland gradient over two years in a corn–soybean (Zea mays L.–Glycine max [L.] Merr.) field in Iowa, USA.

Additional Award Information:
Funder:Iowa Nutrient Research Center
Title:Impacts of prairie pothole hydrology on field-scale nitrogen and phosphorus losses

Maintenance

Maintenance:
Description:

We do not anticipate updating this dataset

Frequency:
Other Metadata

Additional Metadata

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Additional Metadata

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

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