ABSTRACT:

Code provided here was used for processing and analyses of data for a manuscript published in Hydrological Processes entitled, 'Water isotopic composition traces source and dynamics of water supply in a semi-arid agricultural landscape'. Data visualizations and analyses were performed in R programming software (version 4.2.1). Generalized linear mixed model statistical analysis was performed using R package 'nlme' (version 3.1-160). Data analyzed for this manuscript include isotopic compositions of water collected from rain, snowmelt, terrace soil water, terrace groundwater, riparian ground and surface water, and stream water. Volume of terrace soil water was also collected. We analyzed meteorological and soil climate variables, including cumulative snow water equivalent, precipitation volume, atmospheric temperature, relative humidity, soil moisture content, and soil temperature. Data collection methods are described in detail in the referenced manuscript and dataset. Data were analyzed to understand soil, aquifer, and stream hydrological processes and integration of source waters in a semi-arid, non-irrigated agricultural landscape.

ABSTRACT:

Data and code provided here were used for analyses for a manuscript published in JGR Biogeosciences entitled, 'Riparian Processes in Semi-Arid Landscapes: Understanding Controls on Nitrate Loss and Sulfate Production in Agricultural Stream Corridors'. Data were collected at variable frequencies between 2013 and 2022. Terrace groundwater was collected from 2013 to 2022 from wells and springs (n = 6) across the Moccasin terrace landform. Riparian groundwater was collected from 2021 to 2022 across three stream corridors on the Moccasin terrace. Stream water was collected from 2013 to 2022 from streams draining the Moccasin terrace. All groundwater and surface water were sampled using a peristaltic pump (Geotech Environmental Equipment; Denver, CO) and pumped through a 0.45-μm capsule filter (Geotech Environmental Equipment; Denver, CO) into 24 mL glass vials without headspace and 60 mL HDPE vials with headspace with duplicates. Data were collected to assess geochemical composition of landscape water to understand soil, aquifer, and stream biogeochemical processes in a semi-arid, non-irrigated agricultural landscape. Data visualizations and analyses were performed in R programming software (version 4.2.2). Generalized linear mixed model statistical analysis was performed using R package 'lme4' (version 1.1–35.1).

ABSTRACT:

Data were collected at variable frequencies between 2012 and 2022. Rain water was collected from 2013 to 2016 near the towns of Stanford, Moccasin, and Moore, MT using precipitation collectors and a mineral oil coating to limit evaporation (Product Alternatives, Inc.; Fergus Falls, MN). Snow water was collected in 2014 near Moore, MT and from 2019 to 2022 near Moccasin, MT using a 10 cm-diameter metal core inserted vertically in the snowpack to sample the entire snow column. Snow samples were sealed in Ziploc bags, weighed, and allowed to melt before thorough mixing and pouring an aliquot into 20 mL scintillation vials. A monthly precipitation composite sample was collected from 2021-2022 near Moccasin, MT. Terrace soil water was collected from 2013 to 2016 in a privately owned field near Moore, MT using porous cup tension lysimeters (PTFE/silica; Prenart Equipment; Frederiksberg, Denmark). Terrace groundwater was collected from 2013 to 2022 from wells and springs across the Moccasin terrace landform. Riparian groundwater and surface water were collected from 2020 to 2022 from three stream corridors on the Moccasin terrace. Stream water was collected from 2012 to 2022 from streams on the Moccasin terrace. All groundwater and surface water were sampled using a peristaltic pump (Geotech Environmental Equipment; Denver, CO) and pumped through a 0.45-μm capsule filter (Geotech Environmental Equipment; Denver, CO) into 20 mL glass scintillation vials. Data were collected to assess water isotopic compositions of precipitation and landscape water to understand soil, aquifer, and stream hydrological processes and integration of source waters in a semi-arid, non-irrigated agricultural landscape.