Data and code from: Predictions of Aboveground Herbaceous Production from Satellite-Derived APAR Are More Sensitive to Ecosite than Grazing Management Strategy in Shortgrass Steppe
<p dir="ltr">This study set out to accurately estimate the amount of herbaceous biomass grown in rangelands, which is difficult to observe directly. Herbaceous biomass is the total weight of all living plant material, such as grasses, forbs, and small shrubs, some of which are edible forage for livestock. We used a combination of satellite data and ground-based measurements to estimate herbaceous biomass.</p><p dir="ltr">The data provided here allows others to reproduce our statistical analysis. We also provide cleaned datasets for herbaceous biomass, grazing periods, satellite, and photosynthetic active radiation collected at the Central Plains Experimental Range, which is a Long-Term Agroecosystem Research network site. The time frame for this data spans 2014 – 2022.</p><p dir="ltr">The .zip archive </p><p dir="ltr"><code>Peirce_etal_2024_APAR_grazing.zip</code></p><p dir="ltr"> contains data and code files.</p><p dir="ltr">This dataset contains all code and data necessary to reproduce the statistical analyses in the manuscript:</p><p dir="ltr">Peirce, E.S.; Kearney, S.P.; Santamaria, N.; Augustine, D.J.; Porensky, L.M. Predictions of Aboveground Herbaceous Production from Satellite-Derived APAR Are More Sensitive to Ecosite than Grazing Management Strategy in Shortgrass Steppe. Remote Sens. 2024, 16, 2780.</p><p dir="ltr"><a href="https://doi.org/10.3390/rs16152780" target="_blank">https://doi.org/10.3390/rs16152780</a></p><p dir="ltr"><br></p><p dir="ltr">This research used resources provided by the SCINet project and/or the AI Center of Excellence of the USDA Agricultural Research Service, ARS project numbers 0201-88888-003-000D and 0201-88888-002-000D.</p>
Funding
Foundation for Food and Agriculture Research: DSnew-0000000028
The data and code presented here reproduce data processing, statistical analysis including linear mixed-effects models and post hoc comparisons of estimated marginal means for hypothesis testing, and visualization of results including graphs and tables. All analysis from the manuscript is included.
Use limitations
The data and code presented here are only for reproducing the analyses in the cited manuscript and would require modification to be applied to new input data.
Central Plains Experimental Range:
The Station Is 15,500 acres (6280 ha), with an elevation of 5250-5550 ft and annual Precipitation of 12.8 inches (historical).