This is digital research data corresponding to a manuscript, Precipitation manipulation experiments may be confounded by water source, accepted for publication in Journal of Soil Science & Plant Nutrition.
Files for a 3x2x2 factorial field experiment and water quality data used to create Table 1. Data for the experiment were used for the statistical analysis and generation of summary statistics for Figure 2.
This study aims to investigate the consequences of performing precipitation manipulation experiments with mineralized water in place of rainwater (i.e. demineralized water). Limited attention has been paid to the effects of water mineralization on plant and soil properties, even when the experiments are in a rainfed context.
We conducted a 6-yr experiment with a gradient in spring rainfall (70, 100, and 130% of ambient). We tested effects of rainfall treatments on plant biomass and six soil properties and interpreted the confounding effects of dissolved solids in irrigation water.
Rainfall treatments affected all response variables. Sulfate was the most common dissolved solid in irrigation water and was 41 times more abundant in irrigated (i.e. 130% of ambient) than other plots. Soils of irrigated plots also had elevated iron (16.5 µg × 10 cm-2 × 60-d vs 8.9) and pH (7.0 vs 6.8). The rainfall gradient also had a nonlinear (hump-shaped) effect on plant available phosphorus (P). Plant and microbial biomasses are often limited by and positively associated with available P, suggesting the predicted positive linear relationship between plant biomass and P was confounded by additions of mineralized water. In other words, the unexpected nonlinear relationship was likely driven by components of mineralized irrigation water (i.e. calcium, iron) and/or shifts in soil pH that immobilized P.
Our results suggest robust precipitation manipulation experiments should either capture rainwater when possible (or use demineralized water) or consider the confounding effects of mineralized water on plant and soil properties.
Resources in this dataset:
Resource Title: Readme file- Data dictionary
File Name: README.txt
Resource Description: File contains data dictionary to accompany data files for a research study.
Resource Title: 3x2x2 factorial dataset.csv
File Name: 3x2x2 factorial dataset.csv
Resource Description: Dataset is for a 3x2x2 factorial field experiment (factors: rainfall variability, mowing seasons, mowing intensity) conducted in northern mixed-grass prairie vegetation in eastern Montana, USA. Data include activity of 5 plant available nutrients, soil pH, and plant biomass metrics. Data from 2018.
Resource Title: water quality dataset.csv
File Name: water quality dataset.csv
Resource Description: Water properties (pH and common dissolved solids) of samples from Yellowstone River collected near Miles City, Montana.
Data extracted from Rinella MJ, Muscha JM, Reinhart KO, Petersen MK (2021) Water quality for livestock in northern Great Plains rangelands. Rangeland Ecol. Manage. 75: 29-34.
- Readme file- Data dictionarytxt Dataset data dictionary
File contains data dictionary to accompany data files for a research study...MD5:Explore Data2.45 KB
- 3x2x2 factorial dataset.csvcsv
Dataset is for a 3x2x2 factorial field experiment (factors: rainfall...MD5:Explore Data4.31 KB
- water quality dataset.csvcsv
Water properties (pH and common dissolved solids) of samples from...MD5:Explore Data852 bytes
|Release Date|| |
|Spatial / Geographical Coverage Area|| |
POINT (-105.96641666667 46.4068889)
Ag Data Commons
|Spatial / Geographical Coverage Location|| |
Miles City, Montana, USA
|Temporal Coverage|| |
April 16, 2018
|Contact Name|| |
|Public Access Level|| |
|Program Code|| |
005:040 - Department of Agriculture - National Research
|Bureau Code|| |
005:18 - Agricultural Research Service