Assessing impacts of bioenergy crops and climate change on hydrometeorology in the Yazoo River Basin, Mississippi
Abstract
The objective of this study was to assess the impacts of bioenergy crop production, such as switchgrass (Panicum virgatum L.) and miscanthus (Miscanthus×giganteus), and climate change on hydrometeorology. The soil and water assessment tool (SWAT) model was used to simulate hydrometeorological consequences and crop yields in the Yazoo River Basin (YRB) in northwestern Mississippi. Modeling results of streamflow and soybean and corn yields during the calibration and validation periods were consistent with the observed data. The yields of bioenergy crops were predicted using the calibrated SWAT model. In order to generate future climate change data, the Geophysical Fluid Dynamics Lab (GFDL) CM2.1 global coupled climate model was selected as a general circulation model (GCM). The output of the GFDL CM2.1 with the Special Report on Emissions Scenarios (SRES) A1B emission was downscaled by LARS-WG stochastic weather generator. Eight scenarios including bioenergy crop production and climate change were evaluated using the SWAT model. The results of this study indicate that the bioenergy crops will increase annual evapotranspiration and decrease annual surface water, water yield and streamflow. Furthermore, the future climate change scenarios showed that the increase in atmospheric carbon dioxide (CO2) concentrations will decrease annual evapotranspiration, which eventually will lead to an increase in annual surface runoff, water yield, and streamflow. However, decreased precipitation in the future periods will be the dominant cause of a decrease in annual evapotranspiration, surface runoff, water yield, and streamflow. Comparison of all scenarios showed that climate change is likely to affect hydrometeorology more significantly than bioenergy crop production, and the scenarios of the conversion of soybean and corn to miscanthus are more significant than the switchgrass scenarios. This study will help to develop future watershed management programs related to bioenergy crop production and climate change conditions within the Yazoo River Basin, which may also be applied in other geographic areas in the country and abroad.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Land conversion from native grass to bioenergy plants or growing bioenergy plants (switchgrass or Miscanthus) on low-productive land in the Mississippi River Basin can decrease water yield, surface runoff, and streamflow, and increase evapotranspiration and nitrogen loss.
“the land conversion from native grass to bioenergy plants or growing bioenergy plants (switchgrass or Miscanthus) on the low-productive land in the Mississippi River Basin can indeed decrease water yield, surface runoff, and streamflow, and increase the evapotranspiration (ET) and nitrogen loss”
From Bioenergy production and environmental impacts (2018) · cites this paper as Kim et al. 2013
Wide plantation of bioenergy crops will increase evapotranspiration and decrease annual surface water and water yield in the Yazoo River Basin of the Mississippi River.
“wide plantation of bioenergy crops will increase the amount of ET, decrease annual surface water and water yield in the Yazoo River Basin of Mississippi River”
From Bioenergy production and environmental impacts (2018) · cites this paper as Kim et al. (2013)
Cites
River flow forecasting through conceptual models part I — A discussion of principles
Nash, J. E., & Sutcliffe, J. V. (1970) · Journal of Hydrology · doi:10.1016/0022-1694(70)90255-6 · Cited by 23,830 · see citing works
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,398 · see citing works
Climate Change 2007: The Physical Science Basis.
Schiavon, S., & Zecchin, R. (2007) · eScholarship (California Digital Library) · Cited by 16,994 · see citing works
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
Moriasi, D. N., Arnold, J. G., Liew, M. W. V., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007) · Transactions of the ASABE · doi:10.13031/2013.23153 · Cited by 13,446 · see citing works
LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT <sup>1</sup>
Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1998.tb05961.x · Cited by 7,945 · see citing works
Soil and Water Assessment Tool Theoretical Documentation Version 2009
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Williams, J. T. (2011) · OakTrust (Texas A&M University Libraries) · Cited by 3,980 · see citing works
Gassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007) · Transactions of the ASABE · doi:10.13031/2013.23637 · Cited by 3,040 · see citing works
Evidence for intensification of the global water cycle: Review and synthesis
Huntington, T. G. (2005) · Journal of Hydrology · doi:10.1016/j.jhydrol.2005.07.003 · Cited by 2,375 · see citing works
GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and Simulation Characteristics
Delworth, T., Broccoli, A., Rosati, A., Stouffer, R., Balaji, V., Beesley, J. A., Cooke, W., Dixon, K., Dunne, J., Dunne, K., et al. (2006) · Journal of Climate · doi:10.1175/jcli3629.1 · Cited by 1,807 · see citing works
Williams, J. R., Jones, C., Kiniry, J. R., & Spanel, D. (1989) · Transactions of the ASAE · doi:10.13031/2013.31032 · Cited by 1,078 · 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
Prediction of the distribution of Arctic‐nesting pink‐footed geese under a warmer climate scenario
Jensen, R. A., Madsen, J. J., O’Connell, M., Wisz, M. S., Tømmervik, H., & Mehlum, F. (2007) · Global Change Biology · doi:10.1111/j.1365-2486.2007.01461.x · Cited by 830 · see citing works
USE OF A STOCHASTIC WEATHER GENERATOR IN THE DEVELOPMENT OF CLIMATE CHANGE SCENARIOS
Semenov, M. A., & Barrow, E. (1997) · Climatic Change · doi:10.1023/a:1005342632279 · Cited by 766 · see citing works
EPIC-erosion/productivity impact calculator: 1. Model documentation.
Sharpley, A. N., & Williams, J. R. (1990) · Cited by 704 · 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
Use of multi-model ensembles from global climate models for assessment of climate change impacts
Semenov, M. A., & Stratonovitch, P. (2009) · Climate Research · doi:10.3354/cr00836 · Cited by 577 · see citing works
Freund, R. J., Wilson, W. J., & Mohr, D. L. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-374970-3.00001-9 · Cited by 574 · see citing works
Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications
Douglas‐Mankin, K. R., Srinivasan, R., & Arnold, J. G. (2010) · Transactions of the ASABE · doi:10.13031/2013.34915 · Cited by 550 · see citing works
A serial approach to local stochastic weather models
Racsko, P., Szeidl, L., & Semenov, M. A. (1991) · Ecological Modelling · doi:10.1016/0304-3800(91)90053-4 · Cited by 507 · see citing works
Mango, L. M., Melesse, A. M., McClain, M. E., Gann, D., & Setegn, S. G. (2011) · Hydrology and earth system sciences · doi:10.5194/hess-15-2245-2011 · Cited by 475 · see citing works
Schilling, K. E., Jha, M. K., Zhang, Y., Gassman, P. W., & Wolter, C. F. (2008) · Water Resources Research · doi:10.1029/2007wr006644 · Cited by 453 · see citing works
Costs of producing miscanthus and switchgrass for bioenergy in Illinois
Khanna, M., Dhungana, B., & Clifton-Brown, J. (2008) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2007.11.003 · Cited by 425 · see citing works
More Productive Than Maize in the Midwest: How Does Miscanthus Do It?
Dohleman, F. G., & Long, S. P. (2009) · PLANT PHYSIOLOGY · doi:10.1104/pp.109.139162 · Cited by 396 · see citing works
SWAT Ungauged: Hydrological Budget and Crop Yield Predictions in the Upper Mississippi River Basin
Srinivasan, R., Zhang, X., & Arnold, J. (2010) · Transactions of the ASABE · doi:10.13031/2013.34903 · Cited by 385 · see citing works
Climate change sensitivity assessment of a highly agricultural watershed using SWAT
Ficklin, D. L., Luo, Y., Luedeling, E., & Zhang, M. (2009) · Journal of Hydrology · doi:10.1016/j.jhydrol.2009.05.016 · Cited by 370 · see citing works
Miscanthus for renewable energy generation: European Union experience and projections for Illinois.
Heaton, E. A., Long, S. P., Voigt, T. B., Jones, M. B., & Clifton-Brown, J. (2004) · Mitigation and Adaptation Strategies for Global Change · doi:10.1023/b:miti.0000038848.94134.be · Cited by 293 · see citing works
Farm-Scale Production Cost of Switchgrass for Biomass
Perrin, R. K., Vogel, K. P., Schmer, M. R., & Mitchell, R. B. (2008) · BioEnergy Research · doi:10.1007/s12155-008-9005-y · Cited by 270 · see citing works
A review of hydrological modelling of basin-scale climate change and urban development impacts
Praskievicz, S. J., & Chang, H. (2009) · Progress in Physical Geography Earth and Environment · doi:10.1177/0309133309348098 · Cited by 239 · see citing works
CLIMATE CHHANGE SENSITIVITY ASSESSMENT ON UPPER MISSISSIPPI RIVER BASIN STREAMFLOWS USING SWAT
Jha, M. K., Arnold, J. G., Gassman, P. W., Giorgi, F., & Gu, R. R. (2006) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.2006.tb04510.x · Cited by 216 · see citing works
Franczyk, J. J., & Chang, H. (2008) · Hydrological Processes · doi:10.1002/hyp.7176 · Cited by 201 · see citing works
Fike, J. H., Parrish, D. J., Wolf, D. D., Balasko, J. A., Green, J. T., Rasnake, M., & Reynolds, J. H. (2006) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2005.10.008 · Cited by 200 · see citing works
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
Parajuli, P. B., Nelson, N. O., Frees, L. D., & Mankin, K. R. (2008) · Hydrological Processes · doi:10.1002/hyp.7174 · Cited by 185 · see citing works
Self-citationImpacts of climate change on runoffs in East Azerbaijan, Iran
Zarghami, M., Abdi, A., Babaeian, I., Hassanzadeh, Y., & Kanani, R. (2011) · Global and Planetary Change · doi:10.1016/j.gloplacha.2011.06.003 · Cited by 169 · see citing works
Wilson, C. O., & Weng, Q. (2011) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2011.07.001 · Cited by 161 · see citing works
Neukirchen, D., Himken, M., Lammel, J., Czypionka-Krause, U., & Olfs, H.-W. (1999) · European Journal of Agronomy · doi:10.1016/s1161-0301(99)00031-3 · Cited by 159 · see citing works
Wu, Y., Liu, S., & Abdul‐Aziz, O. I. (2011) · Climatic Change · doi:10.1007/s10584-011-0087-8 · Cited by 157 · see citing works
Jain, A. K., Khanna, M., Erickson, M. J., & Huang, H. (2010) · GCB Bioenergy · doi:10.1111/j.1757-1707.2010.01041.x · Cited by 151 · see citing works
Maurer, E. P., Adam, J. C., & Wood, A. W. (2009) · Hydrology and earth system sciences · doi:10.5194/hess-13-183-2009 · Cited by 149 · see citing works
Le, P. V. V., Kumar, P., & Drewry, D. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1107177108 · Cited by 146 · see citing works
Nelson, R., Ascough, J. C., & Langemeier, M. R. (2005) · Journal of Environmental Management · doi:10.1016/j.jenvman.2005.07.013 · Cited by 121 · see citing works
Ng, T. L., Eheart, J. W., Cai, X., & Miguez, F. E. (2010) · Environmental Science & Technology · doi:10.1021/es9039677 · Cited by 119 · see citing works
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
Rosenberg, N. J., Brown, R. A., Izaurralde, R. C., & Thomson, A. M. (2003) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(03)00025-x · Cited by 111 · see citing works
Impacts of biofuels production alternatives on water quantity and quality in the Iowa River Basin
Wu, Y., & Liu, S. (2011) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2011.10.030 · Cited by 102 · see citing works
Source specific fecal bacteria modeling using soil and water assessment tool model
Parajuli, P. B., Mankin, K. R., & Barnes, P. L. (2008) · Bioresource Technology · doi:10.1016/j.biortech.2008.06.045 · Cited by 96 · see citing works
Self-citationHerron, N., Davis, R. B., & Jones, R. N. (2002) · Journal of Environmental Management · doi:10.1006/jema.2002.0562 · Cited by 96 · see citing works
Importance of Crop Yield in Calibrating Watershed Water Quality Simulation Tools1
Nair, S. S., King, K. W., Witter, J. D., Sohngen, B., & Fausey, N. R. (2011) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.2011.00570.x · Cited by 88 · see citing works
Modeling Riverine Nitrate Export from an East‐Central Illinois Watershed Using SWAT
Hu, X., McIsaac, G. F., David, M. B., & Louwers, C. A. L. (2007) · Journal of Environmental Quality · doi:10.2134/jeq2006.0228 · Cited by 88 · see citing works
Herron, N. (2002) · Journal of Environmental Management · doi:10.1016/s0301-4797(02)90562-1 · Cited by 86 · see citing works
Love, B. J., & Nejadhashemi, A. P. (2011) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2011.02.041 · Cited by 85 · see citing works
Qin, Z., Zhuang, Q., & Chen, M. (2012) · GCB Bioenergy · doi:10.1111/j.1757-1707.2011.01129.x · Cited by 79 · see citing works
Hydrological impact of biofuel production: A case study of the Khlong Phlo Watershed in Thailand
Babel, M. S., Shrestha, B., & Perret, S. (2011) · Agricultural Water Management · doi:10.1016/j.agwat.2011.08.019 · Cited by 74 · see citing works
Modeling the Impacts of Climate Change on Water Supply Reliabilities
Muttiah, R. S., & Wurbs, R. A. (2002) · Water International · doi:10.1080/02508060208687020 · Cited by 66 · see citing works
Parajuli, P. B. (2010) · Hydrological Processes · doi:10.1002/hyp.7793 · Cited by 64 · see citing works
Self-citationImpacts of Climate Change and Land Use Change on Runoff from a Great Lakes Watershed
Barlage, M. J., Richards, P. L., Sousounis, P. J., & Brenner, A. J. (2002) · Journal of Great Lakes Research · doi:10.1016/s0380-1330(02)70606-0 · Cited by 57 · see citing works
Park, J.-Y., Park, M.-J., Joh, H.-K., Shin, H.-J., Kwon, H., Srinivasan, R., & Kim, S. (2011) · Transactions of the ASABE · doi:10.13031/2013.39842 · Cited by 55 · see citing works
Baskaran, L. M., Jager, H. I., Schweizer, P. E., & Srinivasan, R. (2010) · Transactions of the ASABE · doi:10.13031/2013.34905 · Cited by 50 · see citing works
Review of the effects of energy crops on hydrology
Stephens, W. E., Hess, T. M., & Knox, J. W. (2001) · CERES (Cranfield University) · Cited by 47 · see citing works
Chen, J., Avise, J. C., Guenther, A., Wiedinmyer, C., Salathé, E. P., Jackson, R. B., & Lamb, B. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.08.015 · Cited by 44 · see citing works
Biofuels and water quality: challenges and opportunities for simulation modeling
Engel, B. A., Chaubey, I., Thomas, M., Saraswat, D., Murphy, P. T., & Bhaduri, B. (2010) · Biofuels · doi:10.4155/bfs.10.17 · Cited by 29 · see citing works
The Effects of Landscape Transformation in a Changing Climate on Local Water Resources
Todd, C. E. D., Goss, A. M., Tripathy, D., & Harbor, J. (2007) · Physical Geography · doi:10.2747/0272-3646.28.1.21 · Cited by 28 · see citing works
Effect of Climate Change on Low-Flow Conditions in the Ruscom River Watershed, Ontario
Rahman, M., Bolisetti, T., & Balachandar, R. (2010) · Transactions of the ASABE · doi:10.13031/2013.34904 · Cited by 23 · see citing works
Planting and Managing Switchgrass as a Biomass Energy Crop
Lehr, J. H., Keeley, J. W., & Kingery, T. B. (2016) · Wiley eBooks · doi:10.1002/9781119066354.ch63 · Cited by 20 · see citing works
Busby, D. P., Little, R. D., Shaik, S., Martins, A., Epplin, F. M., Hwang, S., Baldwin, B. S., & Taliaferro, C. M. (2007) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.34854 · Cited by 5 · see citing works
Flagged first, then by citations
2 of the 68 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Bioenergy production and environmental impacts
Wu, Y., Zhao, F., Liu, S., Wang, L., Qiu, L., Alexandrov, G., & Jothiprakash, V. (2018) · Geoscience Letters · doi:10.1186/s40562-018-0114-y · Cited by 138 · see citing works
“For example, the land conversion from native grass to bioenergy plants or growing bioenergy plants (switchgrass or Miscanthus) on the low-productive land in the Mississippi River Basin can indeed decrease water yield, surface runoff, and streamflow, and increase the evapotranspiration (ET) and nitrogen loss (Hejazi et…”
BackgroundNeupane, R. P., & Kumar, S. (2015) · Journal of Hydrology · doi:10.1016/j.jhydrol.2015.07.050 · Cited by 134 · see citing works
Evaluation of Using Remote Sensing Evapotranspiration Data in SWAT
Parajuli, P. B., Jayakody, P., & Ouyang, Y. (2017) · Water Resources Management · doi:10.1007/s11269-017-1850-z · Cited by 99 · see citing works
“2016), and crop growth functions (Masih et al. 2011; Kim et al. 2013; Parajuli et al. 2013, 2016; Kim and Parajuli 2014) studies in various watersheds.”
BackgroundMethodSelf-citationBioenergy: a foundation to environmental sustainability in a changing global climate scenario
Rather, R. A., Wani, A. W., Mumtaz, S., Padder, S. A., Khan, A. H., Almohana, A. I., Almojil, S. F., Alam, S. S., & Baba, T. R. (2021) · Journal of King Saud University - Science · doi:10.1016/j.jksus.2021.101734 · Cited by 92 · see citing works
Ahiablame, L. M., Sinha, T., Paul, M., Ji, J.-H., & Rajib, A. (2017) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2017.11.004 · Cited by 78 · see citing works
Bioenergy Crops: Recent Advances and Future Outlook
Yadav, P., Priyanka, P., Kumar, D., Yadav, A., & Yadav, K. (2019) · Biofuel and biorefinery technologies · doi:10.1007/978-3-030-14463-0_12 · Cited by 67 · see citing works
Giri, S., Arbab, N. N., & Lathrop, R. G. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.123955 · Cited by 65 · see citing works
Dakhlalla, A. O., & Parajuli, P. B. (2018) · Information Processing in Agriculture · doi:10.1016/j.inpa.2018.08.007 · Cited by 63 · see citing works
Self-citationParajuli, P. B., Jayakody, P., Sassenrath, G. F., & Ouyang, Y. (2016) · Agricultural Water Management · doi:10.1016/j.agwat.2016.02.005 · Cited by 56 · see citing works
Self-citationLi, 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 · see citing works
“The dramatically elevated atmospheric CO 2 concentration was the major reason for the decrease in ET a (Kim et al., 2013).”
BackgroundDagnew, A., Gassman, P. W., Schoof, J. T., & Secchi, S. (2016) · Hydrology and earth system sciences · doi:10.5194/hess-20-3325-2016 · Cited by 49 · see citing works
“Various researchers (e.g., Parajuli et al., 2013; Tomer et al. 2008; Andraski et al., 2003; Bundy et al., 2001) have demonstrated similar effects of tillage practices on sediment and/or phosphorous outputs from agricultural fields.”
Rahmani, M. (2015) · Journal of Environmental Informatics · doi:10.3808/jei.201400285 · Cited by 44 · see citing works
“LARS-WG is a weather generator that is capable of simulating temperature and precipitation with a reasonable confidence in climate change condition, according to former studies (Lawless et al., 2005; Semenov and Doblas-Reyes, 2007; Semenov, 2009; Hashmi et al., 2011; Zarghami et al., 2011; King et al., 2012; Gohari et…”
MethodResultFertilizer placement and application timing as strategies to reduce phosphorus loading to Lake Erie
Gildow, M., Aloysius, N. R., Gebremariam, S. Y., & Martin, J. F. (2016) · Journal of Great Lakes Research · doi:10.1016/j.jglr.2016.07.002 · Cited by 44 · see citing works
Qin, X., & Lu, Y. (2014) · Journal of Hydrometeorology · doi:10.1175/jhm-d-13-0126.1 · Cited by 42 · see citing works
Sha, J., Li, X., & Wang, Z.-L. (2019) · Theoretical and Applied Climatology · doi:10.1007/s00704-019-02781-4 · Cited by 40 · see citing works
Venishetty, V., & Parajuli, P. B. (2022) · Agriculture · doi:10.3390/agriculture12040477 · Cited by 39 · see citing works
Self-citationChen, Y. J., Marek, G. W., Marek, T. H., Porter, D., Bräuer, D., & Srinivasan, R. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108649 · Cited by 35 · see citing works
Marcinkowski, P., & Piniewski, M. (2023) · Agricultural Systems · doi:10.1016/j.agsy.2023.103813 · Cited by 32 · see citing works
Chen, W., Ling, X., Li, Q., Yuan, B., Li, B., & Ma, H. (2019) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2019.04.242 · Cited by 30 · see citing works
Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale
Parajuli, P. B., & Risal, A. (2021) · Climate · doi:10.3390/cli9110165 · Cited by 19 · see citing works
“Climate change analysis for six ground weather stations located within the BSRW was performed based on the two RCP scenarios, RCP 4.5 and RCP 8.5, of GCM models: HadGEM2, and EC Earth.”
MethodInfluentialSelf-citationBioenergy Crops as an Alternate Energy Resource
Pathak, G., & Dudhagi, S. S. (2021) · Wiley eBooks · doi:10.1002/9781119718017.ch18 · Cited by 13 · see citing works
Kumar, E. S., Saraswat, D., & Singh, G. (2020) · Water · doi:10.3390/w12020410 · Cited by 12 · see citing works
“[20] reported that land use change to miscanthus and switchgrass coupled with climate change altered the hydrometeorology of the Yazoo River Basin, Mississippi.”
BackgroundImpact of Bioenergy on Environmental Sustainability
Pathak, K. K., & Das, S. (2019) · Energy, environment, and sustainability · doi:10.1007/978-981-15-0410-5_10 · Cited by 11 · see citing works
Ouyang, Y., Parajuli, P. B., Li, Y., Leininger, T. D., & Feng, G. G. (2017) · Journal of Environmental Management · doi:10.1016/j.jenvman.2017.05.014 · Cited by 10 · see citing works
Self-citationMicrobial biotechnology for bioenergy: general overviews
Aransiola, S. A., Adeniyi, O. S., Omoregie, I. P., Akinhanmi, F. O., Oniha, M. I., & Maddela, N. R. (2024) · Microbial Biotechnology for Bioenergy · doi:10.1016/b978-0-443-14112-6.00001-8 · Cited by 8 · see citing works
Venishetty, V., Parajuli, P. B., & Nepal, D. (2023) · Hydrology · doi:10.3390/hydrology10040092 · Cited by 8 · see citing works
“Several studies show that the use of SWAT contributed to a better water quality analysis and had been used across the world [9–13].”
Self-citationImpacts of Land Use and Climate Changes on Hydrological Processes in South Dakota Watersheds
Paul, M. (2016) · Open PRAIRIE (South Dakota State University) · Cited by 8 · see citing works
Ouyang, Y., Zhang, J., Li, Y., Parajuli, P. B., & Feng, G. G. (2015) · Journal of Water and Climate Change · doi:10.2166/wcc.2015.101 · Cited by 6 · see citing works
Self-citationSwat model simulation of bioenergy crop impacts in a tile-drained watershed
Boles, C. (2013) · Purdue e-Pubs (Purdue University System) · Cited by 6 · see citing works
Li, X., Wei, Z., Cui, J., Yao, R., Feng, P., Liu, D. L., Yuan, C., & Chen, Y. J. (2025) · Agricultural Systems · doi:10.1016/j.agsy.2025.104576 · Cited by 5 · see citing works
Bioenergy Crops in the Perspective of Climate Change
Liaqat, W., Altaf, M. T., Barutçular, C., & Yasmın, S. (2023) · Springer eBooks · doi:10.1007/978-981-99-4954-0_1 · Cited by 5 · see citing works
Garg, J., Barnwal, P. P., Suman, J., & Rakshit, A. (2023) · Springer eBooks · doi:10.1007/978-981-19-7736-7_23-1 · Cited by 5 · see citing works
Agricultural Residues and Manures into Bioenergy
Anand, S. C., Kaur, J., Sarao, L. K., & Singh, A. (2023) · Clean Energy Production Technologies · doi:10.1007/978-981-19-6230-1_3 · Cited by 4 · see citing works
Modeling Future Yield and Irrigation Demand of Rice Paddy in Korea
Nkomozepi, T., & Chung, S.-O. (2014) · Journal of The Korean Society of Agricultural Engineers · doi:10.5389/ksae.2014.56.1.031 · Cited by 4 · see citing works
“The LARS-WG is widely used for climate changes studies to generate daily site-specific scenarios of future and past climate, by considering changes in both mean climate and climate variability (Kim et al., 2013).”
BackgroundMethodGorelick, D. E., Baskaran, L. M., & Jager, H. I. (2019) · Land Use Policy · doi:10.1016/j.landusepol.2019.104201 · Cited by 3 · see citing works
Hydrological impacts of land use and land cover changes in the Upper Kızılırmak Basin, Türkiye
SELÇUK, S. F., & Cebeci, M. S. (2025) · Hydrological Sciences Journal · doi:10.1080/02626667.2025.2549424 · Cited by 2 · see citing works
“Grassland and herbaceous plants have high crop density and LAI values (Kim et al .”
Morphological and Physiological Traits for High Bioenergy Production in Biofuel Crops
Meena, S. K., Meena, H. S., Singhal, R. K., Mehta, B. K., Shashikumara, P., Singh, M., & Ahmed, S. (2025) · Springer eBooks · doi:10.1007/978-981-96-2536-9_16 · Cited by 3 · see citing works
Statistical downscaling and disaggregation for supporting regional climate change impact studies
Lu, Y. N. (2015) · doi:10.32657/10356/62187
“LARS-WG is also widely used in many regions with different climate conditions around the world (Zarghami et al., 2011; Xu et al., 2012; Kim et al., 2013).”
Kim, H., Parajuli, P. B., & Suh, K. (2020) · Desalination and Water Treatment · doi:10.5004/dwt.2020.26116
Self-citationGovender, N., Dorairaj, D., Mohamed‐Hussein, Z., Osman, N., & Ratnam, W. (2021) · Annual Plant Reviews online · doi:10.1002/9781119312994.apr0732
Climate Change Effects on Watershed Processes and Resilience
Parajuli, P. B. (2022) · Modern Concepts & Developments in Agronomy · doi:10.31031/mcda.2022.10.000738
Self-citationYaseen, S., Azhar, U., Arif, M. Z., Saqib, M., Riaz, A., & Yaqub, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13500-2.00002-x
Potential Bioenergy Crops: Sweet Sorghum and Globe Artichoke
Güden, B., & KILIÇ, T. Ö. (2024) · Black Sea Journal of Agriculture · doi:10.47115/bsagriculture.1535854
- Authors
- Kim, H. K., Parajuli, P. B., & Filip To, S. D.
- Affiliations
- Mississippi State University (US)
- ORCID
- Parajuli, Prem B.
- Venue
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 169
- Pages
- 61-73
- ISSN
- 0168-1923 (ISSN-L)
- OpenAlex
- W2019557260
- Cited by
- 43
- References
- 68
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 5 · 2022: 3 · 2021: 5 · 2020: 2 · 2019: 6 · 2018: 2 · 2017: 3 · 2016: 4 · 2015: 4 · 2014: 2 · 2013: 1
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Agricultural and Forest Meteorology (publishedVersion)
- Funders
- Department of Energy
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
- Keywords
- energy crops, switchgrass, Miscanthus, climate change impacts, hydrometeorology, river discharge, evapotranspiration, surface runoff, water yield, crop yield, soybean, maize, crop conversion, GFDL CM2.1, SRES A1B, LARS-WG weather generator, Yazoo River Basin, watershed management
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