Implications for the hydrologic cycle under climate change due to the expansion of bioenergy crops in the Midwestern United States

Le, Phong V. V.; Kumar, Praveen; Drewry, Darren T.

doi:10.1073/pnas.1107177108

Cited by 146Bioenergy crop production and managementPlant Water Relations and Carbon DynamicsHydrology and Watershed Management Studies

Implications for the hydrologic cycle under climate change due to the expansion of bioenergy crops in the Midwestern United States

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Le, Phong V. V., Kumar, Praveen, Drewry, Darren T.·2011·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.1107177108PMC PMC3174653

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Abstract

To meet emerging bioenergy demands, significant areas of the large-scale agricultural landscape of the Midwestern United States could be converted to second generation bioenergy crops such as miscanthus and switchgrass. The high biomass productivity of bioenergy crops in a longer growing season linked tightly to water use highlight the potential for significant impact on the hydrologic cycle in the region. This issue is further exacerbated by the uncertainty in the response of the vegetation under elevated CO(2) and temperature. We use a mechanistic multilayer canopy-root-soil model to (i) capture the eco-physiological acclimations of bioenergy crops under climate change, and (ii) predict how hydrologic fluxes are likely to be altered from their current magnitudes. Observed data and Monte Carlo simulations of weather for recent past and future scenarios are used to characterize the variability range of the predictions. Under present weather conditions, miscanthus and switchgrass utilized more water than maize for total seasonal evapotranspiration by approximately 58% and 36%, respectively. Projected higher concentrations of atmospheric CO(2) (550 ppm) is likely to decrease water used for evapotranspiration of miscanthus, switchgrass, and maize by 12%, 10%, and 11%, respectively. However, when climate change with projected increases in air temperature and reduced summer rainfall are also considered, there is a net increase in evapotranspiration for all crops, leading to significant reduction in soil-moisture storage and specific surface runoff. These results highlight the critical role of the warming climate in potentially altering the water cycle in the region under extensive conversion of existing maize cropping to support bioenergy demand.

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Land and climate are two major resources required for additional biomass production.
“Land and climate are two major resources required for additional biomass production [44,61,62].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [62]

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Climate change 2001 : the scientific basis
Houghton, J., Ding, Y., Griggs, D., Noguer, M., van der Linden, P. V. D., Dai, X., Maskell, K., & Johnson, C. (2001) · Foreign Affairs · doi:10.2307/20033020 · Cited by 14,162 · see citing works
The Path Forward for Biofuels and Biomaterials
Ragauskas, A. J., Williams, C. K., Davison, B. H., Britovsek, G., Cairney, J., Eckert, C. A., Frederick, W. J., Hallett, J. P., Leak, D. J., Liotta, C. L., et al. (2006) · Science · doi:10.1126/science.1114736 · Cited by 5,741 · see citing works
An Introduction to Environmental Biophysics
Campbell, G. S. (1977) · Heidelberg science library · doi:10.1007/978-1-4684-9917-9 · Cited by 3,247 · see citing works
Carbon-Negative Biofuels from Low-Input High-Diversity Grassland Biomass
Tilman, D., Hill, J., & Lehman, C. (2006) · Science · doi:10.1126/science.1133306 · Cited by 1,813 · see citing works
RISING ATMOSPHERIC CARBON DIOXIDE: Plants FACE the Future
Long, S. P., Ainsworth, E. A., Rogers, A., & Ort, D. R. (2004) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.55.031903.141610 · Cited by 1,715 · see citing works
Elevated CO2 effects on plant carbon, nitrogen, and water relations: six important lessons from FACE
Leakey, A. D. B., Ainsworth, E. A., Bernacchi, C. J., Rogers, A., Long, S. P., & Ort, D. R. (2009) · Journal of Experimental Botany · doi:10.1093/jxb/erp096 · Cited by 1,678 · see citing works
Evaporation into the Atmosphere: Theory, History and Applications
Brutsaert, W. H. (2013) · Cited by 1,248 · see citing works
Net energy of cellulosic ethanol from switchgrass
Schmer, M. R., Vogel, K. P., Mitchell, R. B., & Perrin, R. K. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704767105 · Cited by 1,067 · see citing works
Meeting US biofuel goals with less land: the potential of Miscanthus
HEATON, E. A., DOHLEMAN, F. G., & LONG, S. P. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01662.x · Cited by 886 · see citing works
Tillage systems and soil ecology
Kladivko, E. J. (2001) · Soil and Tillage Research · doi:10.1016/s0167-1987(01)00179-9 · Cited by 753 · see citing works
Meeting US biofuel goals with less land: the potential of Miscanthus
Rank, F., & Gregory, W. F. (2008) · Cited by 684 · see citing works
A quantitative review comparing the yields of two candidate C4 perennial biomass crops in relation to nitrogen, temperature and water
Heaton, E. A., Voigt, T., & Long, S. P. (2003) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2003.10.005 · Cited by 574 · see citing works
Photosynthesis, Productivity, and Yield of Maize Are Not Affected by Open-Air Elevation of CO2 Concentration in the Absence of Drought
Leakey, A. D. B., Uribelarrea, M., Ainsworth, E. A., Naidu, S. L., Rogers, A., Ort, D. R., & Long, S. P. (2006) · PLANT PHYSIOLOGY · doi:10.1104/pp.105.073957 · Cited by 553 · see citing works
Land Availability for Biofuel Production
Cai, X., Zhang, X., & Wang, D. (2011) · Environmental Science & Technology · doi:10.1021/es103338e · Cited by 444 · see citing works
Carbon mitigation by the energy crop, Miscanthus
CLIFTON‐BROWN, J. C., BREUER, J., & JONES, M. B. (2007) · Global Change Biology · doi:10.1111/j.1365-2486.2007.01438.x · Cited by 393 · see citing works
The growth response of C4 plants to rising atmospheric CO2 partial pressure: a reassessment
Ghannoum, O., von Caemmerer, S., Ziska, L. H., & Conroy, J. P. (2000) · Plant Cell & Environment · doi:10.1046/j.1365-3040.2000.00609.x · Cited by 297 · see citing works
Control of transpiration by radiation
Pieruschka, R., Huber, G. J., & Berry, J. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913177107 · Cited by 248 · see citing works
Water Implications of Biofuels Production in the United States
National Research Council (2008) · National Academies Press eBooks · doi:10.17226/12039 · Cited by 231 · see citing works
Root distribution and soil moisture retrieval in perennial and annual energy crops in Northern Italy
Monti, A., & Zatta, A. (2009) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2009.04.007 · Cited by 213 · see citing works
Soil Carbon Storage by Switchgrass Grown for Bioenergy
Liebig, M. A., Schmer, M. R., Vogel, K. P., & Mitchell, R. B. (2008) · BioEnergy Research · doi:10.1007/s12155-008-9019-5 · Cited by 203 · see citing works
Will photosynthesis of maize ( Zea mays ) in the US Corn Belt increase in future [CO 2 ] rich atmospheres? An analysis of diurnal courses of CO 2 uptake under free‐air concentration enrichment (FACE)
Leakey, A. D. B., Bernacchi, C. J., Dohleman, F. G., Ort, D. R., & Long, S. P. (2004) · Global Change Biology · doi:10.1111/j.1529-8817.2003.00767.x · Cited by 198 · see citing works
Miscanthus and Switchgrass Production in Central Illinois: Impacts on Hydrology and Inorganic Nitrogen Leaching
McIsaac, G. F., David, M. B., & Mitchell, C. A. (2010) · Journal of Environmental Quality · doi:10.2134/jeq2009.0497 · Cited by 190 · see citing works
An Introduction to Plant Physiology.
Sybil, E. W., Curtis, O. F., & Clark, D. G. (1951) · The American Midland Naturalist · doi:10.2307/2422006 · Cited by 189 · see citing works
Climate Change Projections for the United States Midwest
Wuebbles, D. J., & Hayhoe, K. (2004) · Mitigation and Adaptation Strategies for Global Change · doi:10.1023/b:miti.0000038843.73424.de · Cited by 183 · see citing works
A model for hydraulic redistribution incorporating coupled soil-root moisture transport
Amenu, G. G., & Kumar, P. (2008) · Hydrology and earth system sciences · doi:10.5194/hess-12-55-2008 · Cited by 171 · see citing works
Self-citation
Soil management impacts on soil carbon sequestration by switchgrass
Ma, Z., Wood, C. W., & Bransby, D. I. (2000) · Biomass and Bioenergy · doi:10.1016/s0961-9534(00)00013-1 · Cited by 166 · see citing works
The modelled productivity of Miscanthus×giganteus (GREEF et DEU) in Ireland
Brown, J. C., Neilson, B., Lewandowski, I. M., & Jones, M. B. (2000) · Industrial Crops and Products · doi:10.1016/s0926-6690(00)00042-x · Cited by 154 · see citing works
Impairment of C4 photosynthesis by drought is exacerbated by limiting nitrogen and ameliorated by elevated [CO2] in maize
Markelz, R. J. C., Strellner, R. S., & Leakey, A. D. B. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/err056 · Cited by 154 · see citing works
The impacts of Miscanthus × giganteus production on the Midwest US hydrologic cycle
VANLOOCKE, A., BERNACCHI, C. J., & TWINE, T. E. (2010) · GCB Bioenergy · doi:10.1111/j.1757-1707.2010.01053.x · Cited by 150 · see citing works
Ecohydrological responses of dense canopies to environmental variability: 1. Interplay between vertical structure and photosynthetic pathway
Drewry, D. T., Kumar, P., Long, S. P., Bernacchi, C. J., Liang, X., & Sivapalan, M. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jg001340 · Cited by 149 · see citing works
Self-citation
Does greater leaf‐level photosynthesis explain the larger solar energy conversion efficiency of Miscanthus relative to switchgrass?
Dohleman, F. G., Heaton, E. A., Leakey, A. D. B., & Long, S. P. (2009) · Plant Cell & Environment · doi:10.1111/j.1365-3040.2009.02017.x · Cited by 134 · see citing works
A comparison of canopy evapotranspiration for maize and two perennial grasses identified as potential bioenergy crops
Hickman, G. C., VanLoocke, A. D., Dohleman, F. G., & Bernacchi, C. J. (2010) · GCB Bioenergy · doi:10.1111/j.1757-1707.2010.01050.x · Cited by 112 · see citing works
Impact of Biofuel Crop Production on the Formation of Hypoxia in the Gulf of Mexico
Costello, C., Griffin, W. M., Landis, A. E., & Matthews, H. S. (2009) · Environmental Science & Technology · doi:10.1021/es9011433 · Cited by 110 · see citing works
Low growth temperatures modify the efficiency of light use by photosystem II for CO2 assimilation in leaves of two chilling‐tolerant C4 species, Cyperus longus L. and Miscanthus × giganteus
Farage, P. K., Blowers, D. A., Long, S. P., & Baker, N. R. (2005) · Plant Cell & Environment · doi:10.1111/j.1365-3040.2005.01460.x · Cited by 110 · see citing works
Photosynthetic and Water Relations Responses to Elevated CO2 in the C4 Grass Andropogon gerardii
Knapp, A. K., Hamerlynck, E. P., & Owensby, C. E. (1993) · International Journal of Plant Sciences · doi:10.1086/297129 · Cited by 105 · see citing works
A weather generator for hydrological, ecological, and agricultural applications
Ivanov, V. Y., Bras, R. L., & Curtis, D. C. (2007) · Water Resources Research · doi:10.1029/2006wr005364 · Cited by 102 · see citing works
Radiation balance and evaporation partitioning in a narrow-row soybean canopy
Sauer, T. J., Singer, J. W., Prueger, J. H., DeSutter, T. M., & Hatfield, J. L. (2007) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2007.04.015 · Cited by 86 · see citing works
Meeting the Mandate for Biofuels: Implications for Land Use, Food and Fuel Prices
Chen, X., Huang, H., Khanna, M., & Önal, H. (2011) · National Bureau of Economic Research · doi:10.3386/w16697 · Cited by 77 · see citing works
Bundle Sheath Leakiness and Light Limitation during C4 Leaf and Canopy CO2 Uptake
Kromdijk, J., Schepers, H. E., Albanito, F., Fitton, N., Carroll, F., Jones, M. B., Finnan, J., Lanigan, G. J., & Griffiths, H. (2008) · PLANT PHYSIOLOGY · doi:10.1104/pp.108.129890 · Cited by 75 · see citing works
Carbon sequestration under Miscanthus : a study of 13 C distribution in soil aggregates
DONDINI, M., VAN GROENIGEN, K., DEL GALDO, I., & JONES, M. B. (2009) · GCB Bioenergy · doi:10.1111/j.1757-1707.2009.01025.x · Cited by 70 · see citing works
Ecohydrological responses of dense canopies to environmental variability: 2. Role of acclimation under elevated CO2
Drewry, D. T., Kumar, P., Long, S. P., Bernacchi, C. J., Liang, X., & Sivapalan, M. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jg001341 · Cited by 67 · see citing works
Self-citation
Leaf Area Development, Light Interception, and Yield among Switchgrass Populations in a Short‐Season Area
Madakadze, I. C., Coulman, B. E., Peterson, P., Stewart, K. A., Samson, R., & Smith, D. L. (1998) · Crop Science · doi:10.2135/cropsci1998.0011183x003800030035x · Cited by 61 · see citing works
Roadmap for Agriculture Biomass Feedstock Supply in the United States
Hess, J. R., Foust, T. D., Hoskinson, R. L., & Thompson, D. N. (2003) · doi:10.2172/963109 · Cited by 53 · see citing works
Water Vapor Conductance and CO"2 Uptake for Leaves of a C"4 Desert Grass, Hilaria Rigida
Nobel, P. S. (1980) · Ecology · doi:10.2307/1935182 · Cited by 40 · see citing works
Bioenergy
(2008) · ASM Press eBooks · doi:10.1128/9781555815547 · Cited by 36 · see citing works
Surf or turf: A shift from feed to food cultivation could reduce nutrient flux to the Gulf of Mexico
Donner, S. D. (2006) · Global Environmental Change · doi:10.1016/j.gloenvcha.2006.04.005 · Cited by 19 · see citing works

Flagged first, then by citations

Research works printed but not linked: 2

[2]Wall JD, Harwood CS, Demain AL. Bioenergy. Washington, DC: ASM Press; 2008. [Google Scholar]
[30]Nobel PST. Water vapor conductance and CO2 uptake for leaves of a C4 desert grass, hilaria rigida. Ecology. 1980;6:252–258. [Google Scholar]

Sorted by citations

An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
Fatichi, S., Vivoni, E. R., Ogden, F. L., Ivanov, V. Y., Mirus, B. B., Gochis, D., Downer, C. W., Camporese, M., Davison, J. H., Ebel, B. A., et al. (2016) · Journal of Hydrology · doi:10.1016/j.jhydrol.2016.03.026 · Cited by 674 · see citing works
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Background
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c ○ 2011 Phong Vu Viet LeEXPANSION OF BIOENERGY CROPS IN THE MIDWESTERN UNITED STATES: IMPLICATIONS FOR THE HYDROLOGIC CYCLE UNDER CLIMATE CHANGE BY
Vu, P., & Le, V. (2012)
Assessing impacts of bioenergy crops and climate change on hydrometeorology in the Yazoo River Basin, Mississippi
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Authors: Le, P. V. V., Kumar, P., & Drewry, D. T.
Affiliations: University of Illinois Urbana-Champaign (US)
Max Planck Society (DE)
ORCID: Le, Phong V. V.
Kumar, Praveen
Drewry, Darren T.
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2011-08-29
Volume: 108
Issue: 37
Pages: 15085-15090
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.1107177108
PMC: PMC3174653
OpenAlex: W2077830781
Cited by: 146
References: 46
Citations by year: 2026: 1 · 2025: 2 · 2024: 10 · 2023: 6 · 2022: 11 · 2021: 5 · 2020: 7 · 2019: 5 · 2018: 9 · 2017: 14 · 2016: 15 · 2015: 23 · 2014: 14 · 2013: 13 · 2012: 10
FWCI: 23.43
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Max Planck Institute for Plasma Physics (submittedVersion)
MPG.PuRe (Max Planck Society) (submittedVersion)
Topics: Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
Keywords: energy crops, Miscanthus, switchgrass, maize, evapotranspiration, soil moisture, surface runoff, climate change, elevated CO2, water consumption, land use conversion, water cycle, Midwestern United States, crop water use
MeSH terms: Air, Carbon Dioxide, Circadian Rhythm, Meteorological Concepts, Models, Theoretical, Photosynthesis, Stochastic Processes, Temperature, Midwestern United States, Reproducibility of Results, Plant Leaves, Plant Transpiration, Crops, Agricultural, Biofuels, Climate Change, Water Cycle

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Implications for the hydrologic cycle under climate change due to the expansion of bioenergy crops in the Midwestern United States

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