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

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

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

Open access

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

DOI 10.1073/pnas.1107177108PMC PMC3174653

Open this paper in CoChat — free account

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1073/pnas.1107177108

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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
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
An Introduction to Environmental Biophysics
Campbell, G. S. (1977) · Heidelberg science library · doi:10.1007/978-1-4684-9917-9 · Cited by 3,247
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
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
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
Evaporation into the Atmosphere: Theory, History and Applications
Brutsaert, W. H. (2013) · Cited by 1,248
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
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
Tillage systems and soil ecology
Kladivko, E. J. (2001) · Soil and Tillage Research · doi:10.1016/s0167-1987(01)00179-9 · Cited by 753

Show all 46 references

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
Cellulosic biofuel contributions to a sustainable energy future: Choices and outcomes
Robertson, G. P., Hamilton, S. K., Barham, B. L., Dale, B. E., Izaurralde, R. C., Jackson, R. D., Landis, D. A., Swinton, S. M., Thelen, K. D., & Tiedje, J. M. (2017) · Science · doi:10.1126/science.aal2324 · Cited by 440
Understanding and managing the food-energy-water nexus – opportunities for water resources research
Cai, X., Wallington, K., Shafiee‐Jood, M., & Marston, L. T. (2017) · Advances in Water Resources · doi:10.1016/j.advwatres.2017.11.014 · Cited by 325
Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment
Qin, Z., Zhuang, Q., Cai, X., He, Y., Huang, Y., Jiang, D., Lin, E., Liu, Y., Tang, Y., & Wang, M. Q. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.08.073 · Cited by 174
Decreasing, not increasing, leaf area will raise crop yields under global atmospheric change.
Srinivasan, V., Kumar, P., & Long, S. P. (2017) · Global Change Biology · doi:10.1111/gcb.13526 · Cited by 164
Self-citation
A regional comparison of water use efficiency for miscanthus, switchgrass and maize
VanLoocke, A. D., Twine, T. E., Zeri, M., & Bernacchi, C. J. (2012) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2012.05.016 · Cited by 152
Terrestrial Ecosystems in a Changing Environment: A Dominant Role for Water
Bernacchi, C. J., & VanLoocke, A. D. (2015) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-043014-114834 · Cited by 152
Site-specific global warming potentials of biogenic CO 2 for bioenergy: contributions from carbon fluxes and albedo dynamics
Cherubini, F., Bright, R. M., & Strømman, A. H. (2012) · Environmental Research Letters · doi:10.1088/1748-9326/7/4/045902 · Cited by 151
Modeling spatial and dynamic variation in growth, yield, and yield stability of the bioenergy crops M iscanthus × giganteusand P anicum virgatumacross the conterminous U nited S tates
Miguez, F. E., Maughan, M. W., Bollero, G. A., & Long, S. P. (2011) · GCB Bioenergy · doi:10.1111/j.1757-1707.2011.01150.x · Cited by 111
The Role of Critical Zone Observatories in Critical Zone Science
White, T. S., Brantley, S. L., Banwart, S. A., Chorover, J., Dietrich, W. E., Derry, L. A., Lohse, K. A., Anderson, S. P., Aufdendkampe, A., Bales, R. C., et al. (2015) · Developments in earth surface processes · doi:10.1016/b978-0-444-63369-9.00002-1 · Cited by 116
Self-citation
Critical transition in critical zone of intensively managed landscapes
Kumar, P., Le, P. V. V., Papanicolaou, A. N., Rhoads, B. L., Anders, A. M., Stumpf, A. J., Wilson, C. G., Bettis, E. A., Blair, N. E., Ward, A. S., et al. (2018) · Anthropocene · doi:10.1016/j.ancene.2018.04.002 · Cited by 111
Self-citation
Review of scenario analyses to reduce agricultural nitrogen and phosphorus loading to the aquatic environment
Hashemi, F., Olesen, J. E., Dalgaard, T., & Børgesen, C. D. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.08.141 · Cited by 102
An environmental cost-benefit analysis of alternative green roofing strategies
William, R., Goodwell, A. E., Richardson, M., Le, P. V. V., Kumar, P., & Stillwell, A. S. (2016) · Ecological Engineering · doi:10.1016/j.ecoleng.2016.06.091 · Cited by 101
Self-citation
A synthesis of the ecosystem services impact of second generation bioenergy crop production
Holland, R. A., Eigenbrod, F., Muggeridge, A. H., Brown, G., Clarke, D., & Taylor, G. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.02.003 · Cited by 109
Watershed‐scale impacts of bioenergy crops on hydrology and water quality using improved SWAT model
Cibin, R., Trybula, E., Chaubey, I., Brouder, S. M., & Volenec, J. J. (2016) · GCB Bioenergy · doi:10.1111/gcbb.12307 · Cited by 97
Biofuel, land and water: maize, switchgrass or Miscanthus?
Zhuang, Q., Qin, Z., & Chen, M. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/1/015020 · Cited by 96
Bioenergy with Carbon Capture and Storage (BECCS): Finding the win–wins for energy, negative emissions and ecosystem services—size matters
Donnison, C. L., Holland, R. A., Hastings, A., Armstrong, L., Eigenbrod, F., & Taylor, G. (2020) · GCB Bioenergy · doi:10.1111/gcbb.12695 · Cited by 97
Predicting the direct and indirect impacts of climate change on malaria in coastal Kenya
Le, P. V. V., Kumar, P., Ruiz, M. O., Mbogo, C. N. M., & Muturi, E. J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211258 · Cited by 99
Self-citation
Water use efficiency of perennial and annual bioenergy crops in central Illinois
Zeri, M., Hussain, M. Z., Anderson‐Teixeira, K. J., DeLucia, E. H., & Bernacchi, C. J. (2013) · Journal of Geophysical Research Biogeosciences · doi:10.1002/jgrg.20052 · Cited by 88
Bioenergy, Food Production and Biodiversity – An Unlikely Alliance?
Manning, P., Taylor, G., & E. Hanley, M. (2015) · GCB Bioenergy · doi:10.1111/gcbb.12173 · Cited by 88
Land-use and environmental pressures resulting from current and future bioenergy crop expansion: A review
Miyake, S., Renouf, M. A., Peterson, A. E., McAlpine, C., & Smith, C. S. (2012) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2012.09.002 · Cited by 98
Energy, water and carbon exchange over a perennial Kernza wheatgrass crop
de Oliveira, G. D., Brunsell, N., Sutherlin, C. E., Crews, T., & DeHaan, L. (2018) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2017.11.022 · Cited by 70
Agave as a model CAM crop system for a warming and drying world
Stewart, J. R. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00684 · Cited by 82
Potential impacts on ecosystem services of land use transitions to second‐generation bioenergy crops in GB
Milner, S., Holland, R. A., Lovett, A. A., Sünnenberg, G., Hastings, A., Smith, P., Wang, S., & Taylor, G. (2015) · GCB Bioenergy · doi:10.1111/gcbb.12263 · Cited by 87
Comparative water use by maize, perennial crops, restored prairie, and poplar trees in the US Midwest
Hamilton, S. K., Hussain, M. Z., Bhardwaj, A. K., Basso, B., & Robertson, G. P. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/6/064015 · Cited by 77
Influence of spatially dependent, modeled soil carbon emission factors on life‐cycle greenhouse gas emissions of corn and cellulosic ethanol
Qin, Z., Dunn, J. B., Kwon, H., Mueller, S., & Wander, M. M. (2016) · GCB Bioenergy · doi:10.1111/gcbb.12333 · Cited by 72
“…a possible water input, impacts LUC prediction (Taheripour et al., 2013), biomass production, soil carbon dynamics, and overall GHG emissions from the ecosystem (Le et al., 2011; Qin & Zhuang, 2014) and therefore should be incorporated in the LUC and SOC modeling when spatial data become available.”
Background
Assessing Regional Hydrology and Water Quality Implications of Large-Scale Biofuel Feedstock Production in the Upper Mississippi River Basin
Demissie, Y. K., Yan, E., & Wu, M. M. (2012) · Environmental Science & Technology · doi:10.1021/es300769k · Cited by 70
Growing season variability in evapotranspiration, ecosystem water use efficiency, and energy partitioning in switchgrass
Wagle, P., & Kakani, V. G. (2012) · Ecohydrology · doi:10.1002/eco.1322 · Cited by 70
Evapotranspiration of annual and perennial biofuel crops in a variable climate
Abraha, M., Chen, J., Chu, H., Zenone, T., John, R., Su, Y., Hamilton, S. K., & Robertson, G. P. (2014) · GCB Bioenergy · doi:10.1111/gcbb.12239 · Cited by 67
Roles of acid-extruding ion transporters in regulation of breast cancer cell growth in a 3-dimensional microenvironment
Andersen, A. P., Flinck, M., Oernbo, E. K., Borbye‐Lorenzen, N., Viuff, B. M., & Pedersen, S. F. (2016) · Molecular Cancer · doi:10.1186/s12943-016-0528-0 · Cited by 67
Quantifying the regional water footprint of biofuel production by incorporating hydrologic modeling
Wu, M. M., Chiu, Y., & Demissie, Y. K. (2012) · Water Resources Research · doi:10.1029/2011wr011809 · Cited by 61
Assessing the temporal variance of evapotranspiration considering climate and catchment storage factors
Zeng, R., & Cai, X. (2015) · Advances in Water Resources · doi:10.1016/j.advwatres.2015.02.008 · Cited by 61
The Cooling Effect of Oasis Reservoir‐Riparian Forest Systems in Arid Regions
Jiao, Y., Zhu, G., Lu, S., Ye, L., Qiu, D., Meng, G., Wang, Q., Li, R., Chen, L., Wang, Y., et al. (2024) · Water Resources Research · doi:10.1029/2024wr038301 · Cited by 60
Soil water uptake and root distribution of different perennial and annual bioenergy crops
Ferchaud, F., Vitte, G., Bornet, F., Strullu, L., & Mary, B. (2014) · Plant and Soil · doi:10.1007/s11104-014-2335-y · Cited by 60
Evapotranspiration partitioning and water use efficiency of switchgrass and biomass sorghum managed for biofuel
Yimam, Y. T., Ochsner, T. E., & Kakani, V. G. (2015) · Agricultural Water Management · doi:10.1016/j.agwat.2015.03.018 · Cited by 60
Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States
Wu, Y., Liu, S., Sohl, T. L., & Young, C. J. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/2/024025 · Cited by 59
Information Theory for Model Diagnostics: Structural Error is Indicated by Trade‐Off Between Functional and Predictive Performance
Ruddell, B. L., Drewry, D. T., & Nearing, G. (2019) · Water Resources Research · doi:10.1029/2018wr023692 · Cited by 59
Self-citation
Increasing canopy photosynthesis in rice can be achieved without a large increase in water use—A model based on free‐air CO 2 enrichment
Ikawa, H., Chen, C. P., Sikma, M., Yoshimoto, M., Sakai, H., Tokida, T., Usui, Y., Nakamura, H., Ono, K., Maruyama, A., et al. (2017) · Global Change Biology · doi:10.1111/gcb.13981 · Cited by 56
Numerical simulations of hydraulic redistribution across climates: The role of the root hydraulic conductivities
Quijano, J. C., & Kumar, P. (2015) · Water Resources Research · doi:10.1002/2014wr016509 · Cited by 55
Self-citation
Wave pattern induced by a localized obstacle in the flow of a one-dimensional polariton condensate
Larré, P.-É., Pavloff, N., & Kamchatnov, A. M. (2012) · Physical Review B · doi:10.1103/physrevb.86.165304 · Cited by 52
Utility of remote sensing-based surface energy balance models to track water stress in rain-fed switchgrass under dry and wet conditions
Bhattarai, N., Wagle, P., Gowda, P. H., & Kakani, V. G. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.10.010 · Cited by 53
Inhibition of microbial biofuel production in drought-stressed switchgrass hydrolysate
Ong, R. G., Higbee, A. J., Bottoms, S., Dickinson, Q., Xie, D., Smith, S. A., Serate, J., Pohlmann, E. L., Jones, A. D., Coon, J. J., et al. (2016) · Biotechnology for Biofuels · doi:10.1186/s13068-016-0657-0 · Cited by 50
Effects of global climate change on the hydrological cycle and crop growth under heavily irrigated management – A comparison between CMIP5 and CMIP6
Li, X., Tan, L., Li, Y., Qi, J., Feng, P., Li, B., Liu, D. L., Zhang, X., Marek, G. W., Zhang, Y., et al. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107408 · Cited by 49
Bioenergy crop productivity and potential climate change mitigation from marginal lands in the United States: An ecosystem modeling perspective
Qin, Z., Zhuang, Q., & Cai, X. (2014) · GCB Bioenergy · doi:10.1111/gcbb.12212 · Cited by 54
Impact of Hydraulic Redistribution on Multispecies Vegetation Water Use in a Semiarid Savanna Ecosystem: An Experimental and Modeling Synthesis
Lee, E., Kumar, P., Barron‐Gafford, G. A., Hendryx, S. M., Sánchez‐Cañete, E. P., Minor, R. L., Colella, T., & Scott, R. L. (2018) · Water Resources Research · doi:10.1029/2017wr021006 · Cited by 49
Self-citation
Hydrocomplexity: Addressing water security and emergent environmental risks
Kumar, P. (2015) · Water Resources Research · doi:10.1002/2015wr017342 · Cited by 48
Self-citation
Perennial biomass crops on marginal land improve both regional climate and agricultural productivity
He, Y., Jaiswal, D., Liang, X., Sun, C., & Long, S. P. (2022) · GCB Bioenergy · doi:10.1111/gcbb.12937 · Cited by 52
Parameterizing Perennial Bioenergy Crops in Version 5 of the Community Land Model Based on Site‐Level Observations in the Central Midwestern United States
Cheng, Y., Huang, M., Chen, M., Guan, K., Bernacchi, C. J., Peng, B., & Tan, Z. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001719 · Cited by 47
Hydrologic and water quality impacts and biomass production potential on marginal land
Feng, Q., Chaubey, I., Her, Y. G., Cibin, R., Engel, B., Volenec, J., & Wang, X. (2015) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2015.07.004 · Cited by 45
Assessing impacts of bioenergy crops and climate change on hydrometeorology in the Yazoo River Basin, Mississippi
Kim, H. K., Parajuli, P. B., & Filip To, S. D. (2013) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2012.10.007 · Cited by 43
Critical Zone services as environmental assessment criteria in intensively managed landscapes
Richardson, M., & Kumar, P. (2017) · Earth s Future · doi:10.1002/2016ef000517 · Cited by 45
Self-citation
Future bioenergy expansion could alter carbon sequestration potential and exacerbate water stress in the United States
Cheng, Y., Huang, M., Lawrence, D. M., Calvin, K., Lombardozzi, D., Sinha, E., Pan, M., & He, X. (2022) · Science Advances · doi:10.1126/sciadv.abm8237 · Cited by 40
Fast Growing Plantations for Wood Production – Integration of Ecological Effects and Economic Perspectives
Bredemeier, M., Busch, G., Hartmann, L., Jansen, M., Richter, F., & Lamersdorf, N. P. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00072 · Cited by 40
Potential productivity of the Miscanthus energy crop in the Loess Plateau of China under climate change
Liu, W., & Sang, T. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/4/044003 · Cited by 37
Interaction Between Ecohydrologic Dynamics and Microtopographic Variability Under Climate Change
Le, P. V. V., & Kumar, P. (2017) · Water Resources Research · doi:10.1002/2017wr020377 · Cited by 34
Self-citation
Managing food and bioenergy crops with declining groundwater levels in the North China Plain
Yang, X., Chen, Y., Pacenka, S., Steenhuis, T. S., & Sui, P. (2019) · Field Crops Research · doi:10.1016/j.fcr.2019.02.003 · Cited by 34
Enhanced environmental and economic benefits of green roofs in a humid subtropical region under future climate
Lee, E., Seo, Y., & Woo, D. K. (2024) · Ecological Engineering · doi:10.1016/j.ecoleng.2024.107221 · Cited by 37
Biomass sorghum and maize have similar water-use-efficiency under non-drought conditions in the rain-fed Midwest U.S.
Roby, M. C., Fernandez, M. G. S., Heaton, E. A., Miguez, F. E., & VanLoocke, A. D. (2017) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2017.08.019 · Cited by 33
Assessing the hydrologic and water quality impacts of biofuel‐induced changes in land use and management
Chen, Y., Ale, S., Rajan, N., & Munster, C. L. (2017) · GCB Bioenergy · doi:10.1111/gcbb.12434 · Cited by 33
An integrated modeling framework for exploring flow regime and water quality changes with increasing biofuel crop production in the U.S. C orn B elt
Yaeger, M. A., Housh, M., Cai, X., & Sivapalan, M. (2014) · Water Resources Research · doi:10.1002/2014wr015700 · Cited by 32
Evapotranspiration is resilient in the face of land cover and climate change in a humid temperate catchment
Hamilton, S. K., Hussain, M. Z., Lowrie, C., Basso, B., & Robertson, G. P. (2018) · Hydrological Processes · doi:10.1002/hyp.11447 · Cited by 32
Climate Change Would Increase the Water Intensity of Irrigated Corn Ethanol
Dominguez-Faus, R., Folberth, C., Liu, J., Jaffe, A. M., & Alvarez, P. J. J. (2013) · Environmental Science & Technology · doi:10.1021/es400435n · Cited by 30
Managing multiple mandates: a system of systems model to analyze strategies for producing cellulosic ethanol and reducing riverine nitrate loads in the Upper Mississippi River Basin
Housh, M., Yaeger, M. A., Cai, X., McIsaac, G. F., Khanna, M., Sivapalan, M., Ouyang, Y., Al-Qadi, I., & Jain, A. K. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b02712 · Cited by 30
Hydrological responses of land use change from cotton (Gossypium hirsutum L.) to cellulosic bioenergy crops in the Southern High Plains of Texas, USA
Chen, Y., Ale, S., Rajan, N., Morgan, C. L. S., & Park, J.-Y. (2015) · GCB Bioenergy · doi:10.1111/gcbb.12304 · Cited by 30
The biophysical link between climate, water, and vegetation in bioenergy agro-ecosystems
Bagley, J. E., Davis, S. C., Georgescu, M., Hussain, M. Z., Miller, J. N., Nesbitt, S. W., VanLoocke, A. D., & Bernacchi, C. J. (2014) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2014.10.007 · Cited by 32
Gas exchange and stand-level estimates of water use and gross primary productivity in an experimental pine and switchgrass intercrop forestry system on the Lower Coastal Plain of North Carolina, U.S.A
Albaugh, J. M., Domec, J., Maier, C. A., Sucre, E. B., Leggett, Z. H., & King, J. S. (2014) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2014.02.013 · Cited by 30
Effects of elevated temperature and abnormal precipitation on soil carbon and nitrogen dynamics in a Pinus densiflora forest
Woo, D. K., & Seo, Y. (2022) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2022.1051210 · Cited by 33
A bioenergy-focused versus a reforestation-focused mitigation pathway yields disparate carbon storage and climate responses
Cheng, Y., Lawrence, D. M., Pan, M., Zhang, B., Graham, N. T., Lawrence, P., Liu, Z., & He, X. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2306775121 · Cited by 28
Hydrologic and water-quality impacts of agricultural land use changes incurred from bioenergy policies
Lin, Z., Anar, M. J., & Zheng, H. (2015) · Journal of Hydrology · doi:10.1016/j.jhydrol.2015.04.001 · Cited by 32
Long‐term evapotranspiration rates for rainfed corn versus perennial bioenergy crops in a mesic landscape
Abraha, M., Chen, J., Hamilton, S. K., & Robertson, G. P. (2019) · Hydrological Processes · doi:10.1002/hyp.13630 · Cited by 29
Can Common Pool Resource Theory Catalyze Stakeholder-Driven Solutions to the Freshwater Salinization Syndrome?
Grant, S. B., Rippy, M. A., Birkland, T. A., Schenk, T., Rowles, K., Misra, S., Aminpour, P., Kaushal, S. S., Vikesland, P. J., Berglund, E. Z., et al. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c01555 · Cited by 30
Assessing Long-Term Hydrological Impact of Climate Change Using an Ensemble Approach and Comparison with Global Gridded Model-A Case Study on Goodwater Creek Experimental Watershed
Gautam, S., Costello, C., Baffaut, C., Thompson, A. L., Svoma, B. M., Phung, Q., & Sadler, E. J. (2018) · Water · doi:10.3390/w10050564 · Cited by 27
The Interplay Between Bioenergy Grass Production and Water Resources in the United States of America
Song, Y., Cervarich, M. C., Jain, A. K., Kheshgi, H. S., Landuyt, W., & Cai, X. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b05239 · Cited by 26
Long-term water balance and sustainable production of Miscanthus energy crops in the Loess Plateau of China
Liu, W., Mi, J., Song, Z., Yan, J., Li, J., & Sang, T. (2014) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2014.01.018 · Cited by 26
Role of Micro‐Topographic Variability on the Distribution of Inorganic Soil‐Nitrogen Age in Intensively Managed Landscape
Woo, D. K., & Kumar, P. (2017) · Water Resources Research · doi:10.1002/2017wr021053 · Cited by 26
Self-citation
Bioenergy Development Policy and Practice Must Recognize Potential Hydrologic Impacts: Lessons from the Americas
Watkins, D., de Moraes, M. M. G. A., Asbjornsen, H., Mayer, A., Licata, J., López, J. G., Pypker, T. G., Molina, V. G., Marques, G. F., Carneiro, A. C. G., et al. (2015) · Environmental Management · doi:10.1007/s00267-015-0460-x · Cited by 28
Study on the characteristics of climate change in Changbai Mountain National Natural Reserve from 1958 to 2017
Wang, H., Xu, J., Sheng, L., Ma, L., & Liu, X. (2020) · Arabian Journal of Geosciences · doi:10.1007/s12517-020-05808-7 · Cited by 25
Impact of irrigation scheduling methods on corn yield under climate change
Nandan, R., Woo, D. K., Kumar, P., & Adinarayana, J. (2021) · Agricultural Water Management · doi:10.1016/j.agwat.2021.106990 · Cited by 24
Self-citation
Mean age distribution of inorganic soil‐nitrogen
Woo, D. K., & Kumar, P. (2016) · Water Resources Research · doi:10.1002/2015wr017799 · Cited by 24
Self-citation
On the Long-Term Hydroclimatic Sustainability of Perennial Bioenergy Crop Expansion over the United States
Wang, M., Wagner, M., Miguez‐Macho, G., Kamarianakis, Y., Mahalov, A., Moustaoui, M., Miller, J. N., VanLoocke, A. D., Bagley, J. E., Bernacchi, C. J., et al. (2016) · Journal of Climate · doi:10.1175/jcli-d-16-0610.1 · Cited by 25
Comparative analysis of hydrologic signatures in two agricultural watersheds in east-central Illinois: legacies of the past to inform the future
Yaeger, M. A., Sivapalan, M., McIsaac, G. F., & Cai, X. (2013) · Hydrology and Earth System Sciences · doi:10.5194/hess-17-4607-2013 · Cited by 23
A graphical user interface for numerical modeling of acclimation responses of vegetation to climate change
Le, P. V. V., Kumar, P., Drewry, D. T., & Quijano, J. C. (2012) · Computers & Geosciences · doi:10.1016/j.cageo.2012.07.007 · Cited by 21
Self-citation
Landscape and climate conditions influence the hydrological sensitivity to climate change in eastern Canada
Aygün, O., Kinnard, C., Campeau, S., & Pomeroy, J. W. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.128595 · Cited by 20
Modeling Water Quality Impacts of Growing Corn, Switchgrass, and Miscanthus on Marginal Soils
Thomas, M. A., Ahiablame, L. M., Engel, B. A., & Chaubey, I. (2014) · Journal of Water Resource and Protection · doi:10.4236/jwarp.2014.614125 · Cited by 20
Hydrologic and water quality impacts of biofuel feedstock production in the Ohio River Basin
Demissie, Y. K., Yan, E., & Wu, M. M. (2017) · GCB Bioenergy · doi:10.1111/gcbb.12466 · Cited by 19
Stochastic lattice-based modelling of malaria dynamics
Le, P. V. V., Kumar, P., & Ruiz, M. O. (2018) · Malaria Journal · doi:10.1186/s12936-018-2397-z · Cited by 18
Self-citation
Co-elevation of atmospheric [CO2] and temperature alters photosynthetic capacity and instantaneous water use efficiency in rice cultivars in a cold-temperate region
Zhang, C., Li, Y., Yu, Z., Wang, G., Liu, X., Liu, J., Liu, J., Zhang, X., Yin, K., & Jin, J. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1037720 · Cited by 17
Hydraulic redistribution by deeply rooted grasses and its ecohydrologic implications in the southern Great Plains of North America
Oerter, E., Slessarev, E. W., Visser, A., Min, K., Kan, M., McFarlane, K. J., Saha, M. C., Berhe, A. A., Pett‐Ridge, J., & Nuccio, E. (2021) · Hydrological Processes · doi:10.1002/hyp.14366 · Cited by 15
Development and preliminary evaluation of an integrated field scale model for perennial bioenergy grass ecosystems in lowland areas
Tian, S., Youssef, M. A., Chescheir, G. M., Skaggs, R. W., Cacho, J., & Nettles, J. E. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.06.029 · Cited by 15
A county‐level estimation of renewable surface water and groundwater availability associated with potential large‐scale bioenergy feedstock production scenarios in the United States
Hui, X., Wu, M. M., & Ha, M. (2018) · GCB Bioenergy · doi:10.1111/gcbb.12576 · Cited by 14
New approach to soil fertility management: Biogeosystem Technique methodology (critical review)
Kalinitchenko, V., Swidsinski, A. V., Glinushkin, A. P., OVERCASH, M. R., Meshalkin, V. P., Minkina, T., Rajput, V. D., Chernenko, V. V., Манджиева, С. С., Sushkova, S. N., et al. (2024) · Land Degradation and Development · doi:10.1002/ldr.5065 · Cited by 13
Transpiration and biomass production of the bioenergy crop Giant Knotweed Igniscum under various supplies of water and nutrients
Mantovani, D., Veste, M., Gypser, S., Halke, C., Koning, L. A., Freese, D., & Lebzien, S. (2014) · Journal of Hydrology and Hydromechanics · doi:10.2478/johh-2014-0028 · Cited by 13
Effects of Land Use Change for Crops on Water and Carbon Budgets in the Midwest USA
Sun, J., Twine, T. E., Hill, J., Noe, R. R., Shi, J., & Li, M. (2017) · Sustainability · doi:10.3390/su9020225 · Cited by 15
Water impacts of U.S. biofuels: Insights from an assessment combining economic and biophysical models
Teter, J., Yeh, S., Khanna, M., & Berndes, G. (2018) · PLoS ONE · doi:10.1371/journal.pone.0204298 · Cited by 14
An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015
Zheng, H., Fei, W., Yang, Z., Wei, J., Zhao, L., Li, L., & Wang, S. (2023) · Earth system science data · doi:10.5194/essd-15-2755-2023 · Cited by 11
Effect of Forecast Climate Changes on Water Needs of Giant Miscanthus Cultivated in the Kuyavia Region in Poland
Rolbiecki, S., Biniak-Pieróg, M., Żyromski, A., Kasperska-Wołowicz, W., Jagosz, B., Stachowski, P., Liberacki, D., Kanecka‐Geszke, E., Sadan, H. A., Rolbiecki, R., et al. (2021) · Energies · doi:10.3390/en14206628 · Cited by 12
Streamflow Impacts of Biofuel Policy-Driven Landscape Change
Khanal, S., Anex, R. P., Anderson, C. J., & Herzmann, D. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109129 · Cited by 10
Improved hydrological modeling with APEX and EPIC: Model description, testing, and assessment of bioenergy producing landscape scenarios
Jones, C. D., Reddy, A., Jeong, J., Williams, J. R., Hamilton, S. K., Hussain, M. Z., Bandaru, V., & Izaurralde, R. C. (2021) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2021.105111 · Cited by 12
Thermodynamic basis for the demarcation of Arctic and alpine treelines
Richardson, M., Kumar, P., Sonnentag, O., & Marsh, P. (2022) · Scientific Reports · doi:10.1038/s41598-022-16462-2 · Cited by 8
Self-citation
Quantifying Hydrologic and Water Quality Responses to Bioenergy Crops in Town Creek Watershed in Mississippi
Parajuli, P. B., & Duffy, S. E. (2013) · Journal of Sustainable Bioenergy Systems · doi:10.4236/jsbs.2013.33028 · Cited by 9

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

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

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks