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Isotopic signals in an agricultural watershed suggest denitrification is locally intensive in riparian areas but extensive in upland soils – data and code
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| Type: | Resource | |
| Storage: | The size of this resource is 344.8 KB | |
| Created: | Dec 16, 2020 at 4:44 p.m. (UTC) | |
| Last updated: | Feb 03, 2022 at 3:58 p.m. (UTC) (Metadata update) | |
| Published date: | Feb 03, 2022 at 3:57 p.m. (UTC) | |
| DOI: | 10.4211/hs.f9f36a39190e4cc6a7cdc0cd0cc9bdd6 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 2568 |
| Downloads: | 62 |
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Abstract
The data and R code provided here are the underpinnings of a manuscript in the journal, Biogeochemistry (the manuscript title is parallel to resource title). Nitrogen use efficiency in cultivated agriculture is reduced by denitrification and by leaching of nitrate, which reduces water quality and is subject to denitrification downstream. Denitrification and leaching losses from dryland farming during fallow periods (no crop growing) can play a disproportionately large role in cropping system nitrogen losses. This work combines nitrogen mass balance with δ15N mass balance to estimate denitrification rates in soil relative to groundwater and streams.
Data includes solute concentrations and isotopic composition of nitrate and water in water samples collected from soil, groundwater and surface water. Soil solution chemistry was characterized in samples from tension lysimeters installed in two non-irrigated fields operated by cooperating farmers. Groundwater and surface water sampling between 2012 and 2017 included two wells, five springs, and three stream sites. Solute concentration and water isotope analysis was conducted in the Montana State University Environmental Analytical Laboratory. Nitrate isotope analyses were conducted at Woods Hole Oceanographic Institution. For detailed analytical methods, see the main manuscript.
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Additional Metadata
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| Purpose | The objective of this work is to understand the role of denitrification as a pathway of nitrogen loss across hydrologically connected soils, groundwater, and stream corridors in non-irrigated agricultural systems. The study area in the Judith River Watershed is in the headwaters of the Missouri River with a semi-arid climate (mean annual precipitation = 389 mm). The shallow aquifers and streams in the study area are well-suited to research on variation in the controls on denitrification due to well-defined hydrologic boundaries, and soils of varying thicknesses and textures that dictate a range of water storage and biogeochemical conditions. This resource provides the chemical and isotopic data as well as the code for conducting the Monte Carlo analysis for estimating soil denitrification rates and data visualization. |
Related Resources
| This resource is referenced by | Sigler, W. Adam, Stephanie A. Ewing, Scott D. Wankel, Clain A Jones, Sam Leuthold, E. N. Jack Brookshire, Robert A. Payn. 2022. Isotopic signals in an agricultural watershed suggest denitrification is locally intensive in riparian areas but extensive in upland soils. Biogeochemistry, in press. https://doi.org/10.1007/s10533-022-00898-9 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Montana State University Extension | ||
| United States Department of Agriculture, National Institute of Food and Agriculture | 2011-51130-31121, 2016-67026-25067 | |
| Montana Fertilizer Advisory Committee | ||
| Montana Agricultural Experiment Station | ||
| Montana State University Vice President for Research | ||
| Montana State University College of Agriculture | ||
| Montana Institute on Ecosystems | ||
| National Science Foundation | RII Track 1: Consortium for Research on Environmental Water Systems | OIA-1757351 |
| National Science Foundation | OIA-1443108 | |
| National Science Foundation | EPS-1101342 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Simon Fordyce | Montana State University | |||
| Venice Bayrd | Montana State University;Montana EPSCoR |
How to Cite
The original data presented here are available under CC-BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
The code presented here is available under the MIT license.
https://opensource.org/licenses/MIT
R packages used within the code (lubridate; reshape2; modeest, plotrix) all carry GPL-2, GPL-3, or MIT licenses.
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