Contact information about the submitter of this metadata record:
Author list: Maggie Davis, Matt Langholtz, Laurence Eaton, Chad Hellwinkel
Who should be contacted with questions relating to the data? (Principal investigator or primary developer of data product): Maggie Davis, email@example.com
What format is your data presented in? .csv .xls
Date data created 1/26-29/2016
Please include a description of the data set (abstract):
As part of the Billion Ton resource assessment projections created in 2016 (see https://www.energy.gov/sites/prod/files/2016/12/f34/2016_billion_ton_re…), this dataset was produced and titled a "base-case" scenario. This broader dataset provided an updated assessment of the potential economic availability of biomass resources from agricultural lands reported at the farmgate under conservative assumptions. Crop residues quantified in this dataset include corn stover, cereal (wheat, oats, and barley) straws, and sorghum stubble. We have isolated corn stover in this dataset.
What is the purpose of the data set? Why were the data collected?*
Per request for use in subsequent research, we have isolated corn stover in 2019 from the broader base-case projections and have provided tillage classification details from this projection. Tillage classification assumptions in this scenario allow a moderate deviation from a baseline situation (using historic CTIC data on tillage type used in counties for each crop). This dataset allowed moderate flexibility of farmers to put land into another tillage type (no till, conservation till, and reduced till) where a higher net present value was calculated.
Were data created or processed with a model or other analytical tool? Yes
Version POLYSYS v10_1-22-16b
Assumptions: Cumulative (energy crops and residues). Base-case (1% yield growth scenario), Tillage Flex = 1, across offered prices of $40-$60 in $5 increments from 2015 to 2040.
Should other organizations/individuals get credit for support, funding, or data collection and analysis? Yes, the USDOE BioEnergy Technologies Office (BETO) and the Oak Ridge National Laboratory (ORNL)