Perennial rhizomatous grasses as bioenergy feedstock in SWAT: parameter development and model improvement

Trybula, Elizabeth M.; Cibin, Raj; Burks, Jennifer L.; Chaubey, Indrajeet; Brouder, Sylvie M.; Volenec, Jeffrey J.

doi:10.1111/gcbb.12210

Perennial rhizomatous grasses as bioenergy feedstock in SWAT: parameter development and model improvement

Journal Article · Fri Jun 13 00:00:00 EDT 2014 · Global Change Biology. Bioenergy

DOI:https://doi.org/10.1111/gcbb.12210· OSTI ID:1437637

Trybula, Elizabeth M. ^[1]; Cibin, Raj ^[2]; Burks, Jennifer L. ^[3]; Chaubey, Indrajeet ^[4]; Brouder, Sylvie M. ^[3]; Volenec, Jeffrey J. ^[3]

Purdue Univ., West Lafayette, IN (United States). Dept. of Agricultural and Biological Engineering. Dept. of Agronomy; Purdue University
Purdue Univ., West Lafayette, IN (United States). Dept. of Agricultural and Biological Engineering
Purdue Univ., West Lafayette, IN (United States). Dept. of Agronomy
Purdue Univ., West Lafayette, IN (United States). Dept. of Agricultural and Biological Engineering. Dept. of Earth, Atmospheric and Planetary Sciences

The Soil and Water Assessment Tool (SWAT) is increasingly used to quantify hydrologic and water quality impacts of bioenergy production, but crop-growth parameters for candidate perennial rhizomatous grasses (PRG) Miscanthus × giganteus and upland ecotypes of Panicum virgatum (switchgrass) are limited by the availability of field data. Crop-growth parameter ranges and suggested values were developed in this study using agronomic and weather data collected at the Purdue University Water Quality Field Station in northwestern Indiana. During the process of parameterization, the comparison of measured data with conceptual representation of PRG growth in the model led to three changes in the SWAT 2009 code: the harvest algorithm was modified to maintain belowground biomass over winter, plant respiration was extended via modified-DLAI to better reflect maturity and leaf senescence, and nutrient uptake algorithms were revised to respond to temperature, water, and nutrient stress. Parameter values and changes to the model resulted in simulated biomass yield and leaf area index consistent with reported values for the region. Code changes in the SWAT model improved nutrient storage during dormancy period and nitrogen and phosphorus uptake by both switchgrass and Miscanthus.

View Accepted Manuscript (DOE)

Research Organization:: Purdue Univ., West Lafayette, IN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B); USDA National Inst. of Food and Agriculture (NIFA)

Grant/Contract Number:: EE0004396

OSTI ID:: 1437637

Alternate ID(s):: OSTI ID: 1400445

Journal Information:: Global Change Biology. Bioenergy, Journal Name: Global Change Biology. Bioenergy Journal Issue: 6 Vol. 7; ISSN 1757-1693

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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