Global warming intensity of biofuel derived from switchgrass grown on marginal land in Michigan

Energy crops for biofuel production, especially switchgrass (Panicum virgatum), are of interest from a climate change perspective. Here, we use outputs from a crop growth model and life cycle assessment (LCA) to examine the global warming intensity (GWI; g CO2 MJ−1) and greenhouse gas (GHG) mitigation potential (Mg CO2 year−1) of biofuel systems based on a spatially explicit analysis of switchgrass grown on marginal land (abandoned former cropland) in Michigan, USA. We find that marginal lands in Michigan can annually produce over 0.57 hm3 of liquid biofuel derived from nitrogen‐fertilized switchgrass, mitigating 1.2–1.5 Tg of CO2 year−1. About 96% of these biofuels can meet the Renewable Fuel Standard (60% reduction in lifecycle GHG emissions compared with conventional gasoline; GWI ≤37.2 g CO2 MJ−1). Furthermore, 73%–75% of these biofuels are carbon‐negative (GWI less than zero) due to enhanced soil organic carbon (SOC) sequestration. However, simulations indicate that SOC levels would fail to increase and even decrease on the 11% of lands where SOC stocks >>200 Mg C ha−1, leading to carbon intensities greater than gasoline. Results highlight the strong climate mitigation potential of switchgrass grown on marginal lands as well as the needs to avoid carbon rich soils such as histosols and wetlands and to ensure that productivity will be sufficient to provide net mitigation.

[1]  K. Paustian,et al.  Land‐based climate solutions for the United States , 2022, Global change biology.

[2]  B. Basso,et al.  Boosting climate change mitigation potential of perennial lignocellulosic crops grown on marginal lands , 2022, Environmental Research Letters.

[3]  John L. Field,et al.  Redefining marginal land for bioenergy crop production , 2021, GCB Bioenergy.

[4]  M. Khanna,et al.  Assessing the Returns to Land and Greenhouse Gas Savings from Producing Energy Crops on Conservation Reserve Program Land. , 2021, Environmental science & technology.

[5]  Tyler J. Lark,et al.  Cropland expansion in the United States produces marginal yields at high costs to wildlife , 2020, Nature Communications.

[6]  Xuesong Zhang,et al.  Carbon-Negative Biofuel Production. , 2020, Environmental science & technology.

[7]  B. Basso,et al.  Predicting soil carbon changes in switchgrass grown on marginal lands under climate change and adaptation strategies , 2020 .

[8]  M. Firestone,et al.  Quantifying the effects of switchgrass (Panicum virgatum) on deep organic C stocks using natural abundance 14C in three marginal soils , 2020, bioRxiv.

[9]  Peter Saling,et al.  Temporal issues in life cycle assessment—a systematic review , 2020, The International Journal of Life Cycle Assessment.

[10]  S. Hamilton,et al.  Empirical Evidence for the Potential Climate Benefits of Decarbonizing Light Vehicle Transport in the U.S. with Bioenergy from Purpose-Grown Biomass with and without BECCS. , 2020, Environmental science & technology.

[11]  Joshua Sohn,et al.  Defining Temporally Dynamic Life Cycle Assessment: A Review , 2019, Integrated environmental assessment and management.

[12]  Candiss O. Williams,et al.  Management controls the net greenhouse gas outcomes of growing bioenergy feedstocks on marginally productive croplands , 2019, Science Advances.

[13]  A. Hélias,et al.  Modelling dynamic soil organic carbon flows of annual and perennial energy crops to inform energy-transport policy scenarios in France. , 2019, The Science of the total environment.

[14]  Xuesong Zhang,et al.  Integration in a depot‐based decentralized biorefinery system: Corn stover‐based cellulosic biofuel , 2019, GCB Bioenergy.

[15]  William F. Lamb,et al.  Negative emissions—Part 2: Costs, potentials and side effects , 2018 .

[16]  William F. Lamb,et al.  Negative emissions—Part 3: Innovation and upscaling , 2018 .

[17]  Felix Creutzig,et al.  Negative emissions—Part 1: Research landscape and synthesis , 2018 .

[18]  M. Margni,et al.  Implementing a Dynamic Life Cycle Assessment Methodology with a Case Study on Domestic Hot Water Production , 2017 .

[19]  B. Basso,et al.  Spatial evaluation of switchgrass productivity under historical and future climate scenarios in Michigan , 2017 .

[20]  S. Hamilton,et al.  Cellulosic biofuel contributions to a sustainable energy future: Choices and outcomes , 2017, Science.

[21]  Christos T. Maravelias,et al.  A co-solvent hydrolysis strategy for the production of biofuels: process synthesis and technoeconomic analysis , 2017 .

[22]  Richard A. Venditti,et al.  Dynamic greenhouse gas accounting for cellulosic biofuels: implications of time based methodology decisions , 2017, The International Journal of Life Cycle Assessment.

[23]  Budiman Minasny,et al.  Soil carbon 4 per mille , 2017 .

[24]  Isaac Emery,et al.  Evaluating the Potential of Marginal Land for Cellulosic Feedstock Production and Carbon Sequestration in the United States. , 2017, Environmental science & technology.

[25]  C. Masiello,et al.  Soil Carbon and Nitrogen Responses to Nitrogen Fertilizer and Harvesting Rates in Switchgrass Cropping Systems , 2017, BioEnergy Research.

[26]  N. Hölzel,et al.  Potential of temperate agricultural soils for carbon sequestration: A meta-analysis of land-use effects. , 2016, The Science of the total environment.

[27]  Ligia Tiruta-Barna,et al.  Framework and computational tool for the consideration of time dependency in Life Cycle Inventory: proof of concept , 2016 .

[28]  B. Muys,et al.  Greenhouse gas emission timing in life cycle assessment and the global warming potential of perennial energy crops , 2015 .

[29]  B. Dale,et al.  All biomass is local: The cost, volume produced, and global warming impact of cellulosic biofuels depend strongly on logistics and local conditions , 2015 .

[30]  W. Parton,et al.  Cost of abating greenhouse gas emissions with cellulosic ethanol. , 2015, Environmental science & technology.

[31]  Fan Yang,et al.  Temporal discounting in life cycle assessment: A critical review and theoretical framework , 2015 .

[32]  G. Richter,et al.  Carbon Sequestration by Perennial Energy Crops: Is the Jury Still Out? , 2015, BioEnergy Research.

[33]  Bin Chen,et al.  Global warming impact assessment of a crop residue gasification project—A dynamic LCA perspective , 2014 .

[34]  Ryan Davis,et al.  NREL 2012 Achievement of Ethanol Cost Targets: Biochemical Ethanol Fermentation via Dilute-Acid Pretreatment and Enzymatic Hydrolysis of Corn Stover , 2014 .

[35]  R. Follett,et al.  Energy Potential and Greenhouse Gas Emissions from Bioenergy Cropping Systems on Marginally Productive Cropland , 2014, PloS one.

[36]  S. Swinton,et al.  Profitability of Cellulosic Biomass Production in the Northern Great Lakes Region , 2014 .

[37]  Tracy K. Teal,et al.  Perennial grasslands enhance biodiversity and multiple ecosystem services in bioenergy landscapes , 2014, Proceedings of the National Academy of Sciences.

[38]  Enli Wang,et al.  Impact of agricultural management practices on soil organic carbon: simulation of Australian wheat systems , 2013, Global change biology.

[39]  Xuesong Zhang,et al.  Sustainable bioenergy production from marginal lands in the US Midwest , 2013, Nature.

[40]  J. Abatzoglou Development of gridded surface meteorological data for ecological applications and modelling , 2013 .

[41]  H. Cai,et al.  Well-to-wheels energy use and greenhouse gas emissions of ethanol from corn, sugarcane and cellulosic biomass for US use , 2012 .

[42]  Robert B. Mitchell,et al.  Soil Carbon Sequestration by Switchgrass and No-Till Maize Grown for Bioenergy , 2012, BioEnergy Research.

[43]  Zhengwei Yang,et al.  Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program , 2011 .

[44]  L. Wright,et al.  Switchgrass selection as a "model" bioenergy crop: A history of the process , 2010 .

[45]  M. Margni,et al.  Considering time in LCA: dynamic LCA and its application to global warming impact assessments. , 2010, Environmental science & technology.

[46]  K. Van Oost,et al.  Driving forces of soil organic carbon evolution at the landscape and regional scale using data from a stratified soil monitoring , 2009 .

[47]  D. Brownell ANALYSIS OF BIOMASS HARVEST, HANDLING, AND COMPUTER MODELING , 2009 .

[48]  R. B. Mitchell,et al.  Soil Carbon Storage by Switchgrass Grown for Bioenergy , 2008, BioEnergy Research.

[49]  C. Walter,et al.  Changes in soil organic carbon in a mountainous French region, 1990–2004 , 2008 .

[50]  John A. Mathews,et al.  Carbon-negative biofuels , 2008 .

[51]  R. Perrin,et al.  Net energy of cellulosic ethanol from switchgrass , 2008, Proceedings of the National Academy of Sciences.

[52]  W. Parton,et al.  Life-cycle assessment of net greenhouse-gas flux for bioenergy cropping systems. , 2007, Ecological applications : a publication of the Ecological Society of America.

[53]  Vance N. Owens,et al.  Switchgrass and Soil Carbon Sequestration Response to Ammonium Nitrate, Manure, and Harvest Frequency on Conservation Reserve Program Land , 2007 .

[54]  D. Tilman,et al.  Carbon-Negative Biofuels from Low-Input High-Diversity Grassland Biomass , 2006, Science.

[55]  L. A. Kszos,et al.  Development of switchgrass (Panicum virgatum) as a bioenergy feedstock in the United States. , 2005 .

[56]  R. Lal,et al.  Bioenergy Crops and Carbon Sequestration , 2005 .

[57]  P. Sollins,et al.  Stabilization and destabilization of soil organic matter: mechanisms and controls , 1996 .

[58]  Reinout Heijungs,et al.  A generic method for the identification of options for cleaner products , 1994 .

[59]  L. Mann,et al.  CHANGES IN SOIL CARBON STORAGE AFTER CULTIVATION , 1986 .

[60]  G. S. Dheri,et al.  Soil carbon stocks and water stable aggregates under annual and perennial biofuel crops in central Ohio , 2022, Agriculture, Ecosystems & Environment.

[61]  D. Bastviken,et al.  2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Volume 4: Agriculture, Forestry and Other Land Use. Chapter 7: Wetlands , 2019 .

[62]  Ming Hu,et al.  Dynamic life cycle assessment integrating value choice and temporal factors—A case study of an elementary school , 2018 .

[63]  Bruno Basso,et al.  Simulating crop growth and biogeochemical fluxes in response to land management using the SALUS model , 2015 .

[64]  Min Zhang,et al.  Techno‐economic analysis and life‐cycle assessment of cellulosic isobutanol and comparison with cellulosic ethanol and n‐butanol , 2014 .

[65]  A. Turhollow,et al.  Techno-economic analysis of using corn stover to supply heat and power to a corn ethanol plant - Part 1: Cost of feedstock supply logistics , 2010 .