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Title: Environmental limitation mapping of potential biomass resources across the conterminous United States

Several crops have recently been identified as potential dedicated bioenergy feedstocks for the production of power, fuels, and bioproducts. Despite being identified as early as the 1980s, no systematic work has been undertaken to characterize the spatial distribution of their long-term production potentials in the United states. Such information is a starting point for planners and economic modelers, and there is a need for this spatial information to be developed in a consistent manner for a variety of crops, so that their production potentials can be intercompared to support crop selection decisions. As part of the Sun Grant Regional Feedstock Partnership (RFP), an approach to mapping these potential biomass resources was developed to take advantage of the informational synergy realized when bringing together coordinated field trials, close interaction with expert agronomists, and spatial modeling into a single, collaborative effort. A modeling and mapping system called PRISM-ELM was designed to answer a basic question: How do climate and soil characteristics affect the spatial distribution and long-term production patterns of a given crop? This empirical/mechanistic/biogeographical hybrid model employs a limiting factor approach, where productivity is determined by the most limiting of the factors addressed in submodels that simulate water balance, winter low-temperaturemore » response, summer high-temperature response, and soil pH, salinity, and drainage. Yield maps are developed through linear regressions relating soil and climate attributes to reported yield data. The model was parameterized and validated using grain yield data for winter wheat and maize, which served as benchmarks for parameterizing the model for upland and lowland switchgrass, CRP grasses, Miscanthus, biomass sorghum, energycane, willow, and poplar. The resulting maps served as potential production inputs to analyses comparing the viability of biomass crops under various economic scenarios. The modeling and parameterization framework can be expanded to include other biomass crops.« less
Authors:
ORCiD logo [1] ;  [1] ;  [2] ;  [3]
  1. Oregon State Univ., Corvallis, OR (United States). PRISM Climate Group. Northwest Alliance for Computational Science and Engineering
  2. Oregon State Univ., Corvallis, OR (United States). Dept. of Crop and Soil Science
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Bioenergy Resource and Engineering Systems Group. Environmental Sciences Division
Publication Date:
Grant/Contract Number:
AC05-00OR22725; FC36-05GO85041; PO 4500073924
Type:
Accepted Manuscript
Journal Name:
Global Change Biology. Bioenergy
Additional Journal Information:
Journal Name: Global Change Biology. Bioenergy; Journal ID: ISSN 1757-1693
Publisher:
Wiley
Research Org:
Oregon State Univ., Corvallis, OR (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B); United States Dept. of Agriculture (USDA); Oregon State Univ. (United States)
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; biomass crop; biomass production potential; biomass resource map; biomass resources; biomass sorghum; energycane; miscanthus; PRISM-ELM; Sun Grant; switchgrass
OSTI Identifier:
1423054