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

Abstract

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. PRISM Climate Group, Northwest Alliance for Computational Science and Engineering, 2000 Kelley Engineering Center, Oregon State University, Corvallis OR USA
  2. Department of Crop and Soil Science, Oregon State University, 125 Crop Science Building Corvallis OR USA
  3. Bioenergy Resource and Engineering Systems Group, Environmental Sciences Division, Oak Ridge National Laboratory, PO BOX 2008 MS6036 Oak Ridge TN 37831-6036 USA
Publication Date:
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)
OSTI Identifier:
1417003
Alternate Identifier(s):
OSTI ID: 1423054; OSTI ID: 1460580
Grant/Contract Number:  
FC36-05GO85041; AC05-00OR22725; PO 4500073924
Resource Type:
Published Article
Journal Name:
Global Change Biology. Bioenergy
Additional Journal Information:
Journal Name: Global Change Biology. Bioenergy Journal Volume: 10 Journal Issue: 10; Journal ID: ISSN 1757-1693
Publisher:
Wiley-Blackwell
Country of Publication:
United Kingdom
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

Citation Formats

Daly, Christopher, Halbleib, Michael D., Hannaway, David B., and Eaton, Laurence M. Environmental limitation mapping of potential biomass resources across the conterminous United States. United Kingdom: N. p., 2018. Web. doi:10.1111/gcbb.12496.
Daly, Christopher, Halbleib, Michael D., Hannaway, David B., & Eaton, Laurence M. Environmental limitation mapping of potential biomass resources across the conterminous United States. United Kingdom. doi:10.1111/gcbb.12496.
Daly, Christopher, Halbleib, Michael D., Hannaway, David B., and Eaton, Laurence M. Mon . "Environmental limitation mapping of potential biomass resources across the conterminous United States". United Kingdom. doi:10.1111/gcbb.12496.
@article{osti_1417003,
title = {Environmental limitation mapping of potential biomass resources across the conterminous United States},
author = {Daly, Christopher and Halbleib, Michael D. and Hannaway, David B. and Eaton, Laurence M.},
abstractNote = {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-temperature 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.},
doi = {10.1111/gcbb.12496},
journal = {Global Change Biology. Bioenergy},
number = 10,
volume = 10,
place = {United Kingdom},
year = {2018},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1111/gcbb.12496

Citation Metrics:
Cited by: 4 works
Citation information provided by
Web of Science

Figures / Tables:

Fig. 1 Fig. 1: Schematic of the Parameter-elevation Regressions on Independent Slopes Model Environmental Limitation Model (PRISMELM) workflow for mapping bioenergy resources. Inputs to PRISM-ELM were gridded climate and soils data, and a preliminary parameter file for the crop being modeled. An initial Environmental Suitability Index (ESI) grid was produced, and duringmore » a face-toface meeting with agronomists, the ESI grid was evaluated against observed yield data to help understand data outliers and adjust model parameters. Once an agreement was reached on model parameters and yield data to be used, a final regression function was developed and applied to the ESI grid to produce a potential biomass yield grid.« less

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    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.