Estimates of Biomass Yield for Perennial Bioenergy

Authors: Yang Song Atul K Jain William Landuyt Haroon S Kheshgi Madhu Khanna

Publish Date: 2014/11/12

Volume: 8, Issue: 2, Pages: 688-715

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Abstract

Perennial grasses such as switchgrass Panicum viragatum and Miscanthus Miscanthus × giganteus are potential choices for biomass feedstocks with lowinput and high dry matter yield per hectare in the USA and Europe However the biophysical potential to grow bioenergy grasses varies with time and space due to changes in environmental conditions Here we integrate the dynamic crop growth processes for Miscanthus and two different cultivars of switchgrass CaveinRock and Alamo into a land surface model the Integrated Science Assessment Model ISAM to estimate the spatial and temporal variations of biomass yields over the period 2001–2012 in the eastern USA The validation with observed data from sites across diverse environmental conditions suggests that the model is able to simulate the dynamic response of bioenergy grass growth to changes in environmental conditions in the central and south of the USA The model is applied to identify four spatial zones characterized by their average yield amplitude and temporal yield variance or stability over 2001–2012 in the USA a high and stable yield zone HS a high and unstable yield zone HU a low and stable yield zone LS and a low and unstable yield zone LU The HS zones are mainly distributed in the regions with precipitation larger than 600 mm and mean temperature range 292–294 K during the growing season including southern Missouri northwestern Arkansas southern Illinois southern Indiana southern Ohio western Kentucky and parts of northern Virginia The LU yield zones are distributed in southern parts of Great Plains with water stress conditions and higher temporal variances in precipitation such as Oklahoma and Kansas Three bioenergy grasses may not grow in the LS yield zones including western parts of Great Plains due to extreme low precipitation and poor soil texture and upper part of north central northeastern and northern New England due to extreme cold conditionsThis work was partly supported by the US National Science Foundation No NSFAGS1243071 and NSFEFRI083598 the USDA National Institute of Food and Agriculture NIFA 20116800230220 and US Department of Energy DOE Office of Science DOEDESC0006706

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