Environmental limitation mapping of potential biomass resources across the conterminous United States. Issue 10 (15th January 2018)

• Record Type: Journal Article
• Authors: Daly, Christopher; Halbleib, Michael D.; Hannaway, David B.; Eaton, Laurence M.
• Is Part Of: Global change biology. Volume 10:Issue 10(2018)
• Page Start: 717
• Page End: 734
• Publication Date: 2018-01-15
• Subjects: biomass crop -- biomass production potential -- biomass resource map -- biomass resources -- biomass sorghum -- energycane -- miscanthus -- PRISM‐ELM -- Sun Grant -- switchgrass; Biomass energy -- Periodicals; Biomass energy -- Environmental aspects -- Periodicals; Energy crops -- Periodicals; 662.88
• DOI: 10.1111/gcbb.12496
• Languages: English
• ISSNs: 1757-1693

Abstract

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‐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. Abstract : Several dedicated biomass crops have been identified as potential feedstocks for the production of power, fuels, and bioproducts in the US. However, a consistent method for estimating, mapping, and comparing their long‐term production potentials is lacking. To address this need, a synergistic mapping approach was developed that combines an environmental limitation model (PRISM‐ELM) with coordinated field trials and close interaction with expert agronomists.