Articles | Volume 13, issue 12
https://doi.org/10.5194/gmd-13-6077-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-6077-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
02 Dec 2020
Development and technical paper |
| 02 Dec 2020
| 02 Dec 2020
Simulating second-generation herbaceous bioenergy crop yield using the global hydrological model H08 (v.bio1)
Center for Climate Change Adaptation, National Institute for
Environmental Studies, 16-2, Onogawa, Tsukuba 305-8506, Japan
Naota Hanasaki
Center for Climate Change Adaptation, National Institute for
Environmental Studies, 16-2, Onogawa, Tsukuba 305-8506, Japan
Vera Heck
Potsdam Institute for Climate Impact Research, Telegraphenberg A 31,
Potsdam 14473, Germany
Tomoko Hasegawa
Department of Civil and Environmental Engineering, Ritsumeikan
University, 56-1, Toji-in Kitamachi, Kita-ku, Kyoto 603-8577, Japan
Shinichiro Fujimori
Department of Environmental Engineering, Kyoto University, Building
C1-3, C-cluster, Kyoto-Daigaku-Katsura, Nishikyo-ku, Kyoto 615-8504, Japan
Related authors
Zhipin Ai and Naota Hanasaki
Geosci. Model Dev., 16, 3275–3290, https://doi.org/10.5194/gmd-16-3275-2023, https://doi.org/10.5194/gmd-16-3275-2023, 2023
Short summary
Short summary
Simultaneously simulating food production and the requirements and availability of water resources in a spatially explicit manner within a single framework remains challenging on a global scale. Here, we successfully enhanced the global hydrological model H08 that considers human water use and management to simulate the yields of four major staple crops: maize, wheat, rice, and soybean. Our improved model will be beneficial for advancing global food–water nexus studies in the future.
Qing He, Naota Hanasaki, Akiko Matsumura, Edwin H. Sutanudjaja, and Taikan Oki
EGUsphere, https://doi.org/10.5194/egusphere-2025-2952, https://doi.org/10.5194/egusphere-2025-2952, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
This work presents a global groundwater modeling framework at 5-arcminute resolution, developed through an offline coupling of the H08 water resource model and MODFLOW6. The model includes a single-layer aquifer and is designed to capture long-term mean groundwater dynamics under varying climate types. The manuscript describes the model structure, input datasets, and evaluation against available observations.
Xin Huang, Qing He, Naota Hanasaki, Rolf H. Reichle, and Taikan Oki
EGUsphere, https://doi.org/10.5194/egusphere-2025-2004, https://doi.org/10.5194/egusphere-2025-2004, 2025
Preprint archived
Short summary
Short summary
This study demonstrates a new method using SMAP soil moisture products to identify irrigation effects, tested to be valid in an example region in California's Central Valley and showed great potential for application in arid/ semi-arid regions. The approach offers a simple, straightforward approach to monitoring irrigation signals without additional in-situ data or model tuning, providing a useful tool to extract irrigation water use data in observation-scarce regions.
Hannes Müller Schmied, Simon Newland Gosling, Marlo Garnsworthy, Laura Müller, Camelia-Eliza Telteu, Atiq Kainan Ahmed, Lauren Seaby Andersen, Julien Boulange, Peter Burek, Jinfeng Chang, He Chen, Lukas Gudmundsson, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Aristeidis Koutroulis, Rohini Kumar, Guoyong Leng, Junguo Liu, Xingcai Liu, Inga Menke, Vimal Mishra, Yadu Pokhrel, Oldrich Rakovec, Luis Samaniego, Yusuke Satoh, Harsh Lovekumar Shah, Mikhail Smilovic, Tobias Stacke, Edwin Sutanudjaja, Wim Thiery, Athanasios Tsilimigkras, Yoshihide Wada, Niko Wanders, and Tokuta Yokohata
Geosci. Model Dev., 18, 2409–2425, https://doi.org/10.5194/gmd-18-2409-2025, https://doi.org/10.5194/gmd-18-2409-2025, 2025
Short summary
Short summary
Global water models contribute to the evaluation of important natural and societal issues but are – as all models – simplified representation of reality. So, there are many ways to calculate the water fluxes and storages. This paper presents a visualization of 16 global water models using a standardized visualization and the pathway towards this common understanding. Next to academic education purposes, we envisage that these diagrams will help researchers, model developers, and data users.
Joško Trošelj and Naota Hanasaki
Hydrol. Earth Syst. Sci., 29, 753–766, https://doi.org/10.5194/hess-29-753-2025, https://doi.org/10.5194/hess-29-753-2025, 2025
Short summary
Short summary
This study presents the first distributed hydrological simulation which confirms claims raised by historians that the eastward diversion project of the Tone River in Japan was conducted 4 centuries ago to increase low flows and subsequent travelling possibilities surrounding the capital, Edo (Tokyo), using inland navigation. We showed that great steps forward can be made for improving quality of life with small human engineering waterworks and small interventions in the regime of natural flows.
Detlef van Vuuren, Brian O'Neill, Claudia Tebaldi, Louise Chini, Pierre Friedlingstein, Tomoko Hasegawa, Keywan Riahi, Benjamin Sanderson, Bala Govindasamy, Nico Bauer, Veronika Eyring, Cheikh Fall, Katja Frieler, Matthew Gidden, Laila Gohar, Andrew Jones, Andrew King, Reto Knutti, Elmar Kriegler, Peter Lawrence, Chris Lennard, Jason Lowe, Camila Mathison, Shahbaz Mehmood, Luciana Prado, Qiang Zhang, Steven Rose, Alexander Ruane, Carl-Friederich Schleussner, Roland Seferian, Jana Sillmann, Chris Smith, Anna Sörensson, Swapna Panickal, Kaoru Tachiiri, Naomi Vaughan, Saritha Vishwanathan, Tokuta Yokohata, and Tilo Ziehn
EGUsphere, https://doi.org/10.5194/egusphere-2024-3765, https://doi.org/10.5194/egusphere-2024-3765, 2025
Short summary
Short summary
We propose a set of six plausible 21st century emission scenarios, and their multi-century extensions, that will be used by the international community of climate modeling centers to produce the next generation of climate projections. These projections will support climate, impact and mitigation researchers, provide information to practitioners to address future risks from climate change, and contribute to policymakers’ considerations of the trade-offs among various levels of mitigation.
Xuanming Su, Kiyoshi Takahashi, Tokuta Yokohata, Katsumasa Tanaka, Shinichiro Fujimori, Jun'ya Takakura, Rintaro Yamaguchi, and Weiwei Xiong
EGUsphere, https://doi.org/10.5194/egusphere-2024-1640, https://doi.org/10.5194/egusphere-2024-1640, 2024
Preprint archived
Short summary
Short summary
We created a new model combining socioeconomic data and climate projections. Using multiple future scenarios, we calculated new costs for reducing emissions, estimated damage based on the latest impacts, and extended our analysis to the year 2450. Our results show different ways to control emissions and their effects on future temperatures. This highlights the importance of adapting climate policies to different economic growth scenarios for better long-term planning.
Kedar Otta, Hannes Müller Schmied, Simon N. Gosling, and Naota Hanasaki
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-215, https://doi.org/10.5194/hess-2023-215, 2023
Revised manuscript not accepted
Short summary
Short summary
Reservoirs play important roles in hydrology and water resources management globally and are incorporated into many Global Hydrological Models. Their simulations are, however, poorly validated due to the lack of available long-term in-situ observation data globally. Here we investigated the applicability of the latest satellite-based reservoir storage estimations in the contiguous US. We found that those products are useful for validating reservoir storage simulations when they are normalized.
Zhipin Ai and Naota Hanasaki
Geosci. Model Dev., 16, 3275–3290, https://doi.org/10.5194/gmd-16-3275-2023, https://doi.org/10.5194/gmd-16-3275-2023, 2023
Short summary
Short summary
Simultaneously simulating food production and the requirements and availability of water resources in a spatially explicit manner within a single framework remains challenging on a global scale. Here, we successfully enhanced the global hydrological model H08 that considers human water use and management to simulate the yields of four major staple crops: maize, wheat, rice, and soybean. Our improved model will be beneficial for advancing global food–water nexus studies in the future.
Vili Virkki, Elina Alanärä, Miina Porkka, Lauri Ahopelto, Tom Gleeson, Chinchu Mohan, Lan Wang-Erlandsson, Martina Flörke, Dieter Gerten, Simon N. Gosling, Naota Hanasaki, Hannes Müller Schmied, Niko Wanders, and Matti Kummu
Hydrol. Earth Syst. Sci., 26, 3315–3336, https://doi.org/10.5194/hess-26-3315-2022, https://doi.org/10.5194/hess-26-3315-2022, 2022
Short summary
Short summary
Direct and indirect human actions have altered streamflow across the world since pre-industrial times. Here, we apply a method of environmental flow envelopes (EFEs) that develops the existing global environmental flow assessments by methodological advances and better consideration of uncertainty. By assessing the violations of the EFE, we comprehensively quantify the frequency, severity, and trends of flow alteration during the past decades, illustrating anthropogenic effects on streamflow.
Inne Vanderkelen, Shervan Gharari, Naoki Mizukami, Martyn P. Clark, David M. Lawrence, Sean Swenson, Yadu Pokhrel, Naota Hanasaki, Ann van Griensven, and Wim Thiery
Geosci. Model Dev., 15, 4163–4192, https://doi.org/10.5194/gmd-15-4163-2022, https://doi.org/10.5194/gmd-15-4163-2022, 2022
Short summary
Short summary
Human-controlled reservoirs have a large influence on the global water cycle. However, dam operations are rarely represented in Earth system models. We implement and evaluate a widely used reservoir parametrization in a global river-routing model. Using observations of individual reservoirs, the reservoir scheme outperforms the natural lake scheme. However, both schemes show a similar performance due to biases in runoff timing and magnitude when using simulated runoff.
Saritha Padiyedath Gopalan, Adisorn Champathong, Thada Sukhapunnaphan, Shinichiro Nakamura, and Naota Hanasaki
Hydrol. Earth Syst. Sci., 26, 2541–2560, https://doi.org/10.5194/hess-26-2541-2022, https://doi.org/10.5194/hess-26-2541-2022, 2022
Short summary
Short summary
The modelling of diversion canals using hydrological models is important because they play crucial roles in water management. Therefore, we developed a simplified canal diversion scheme and implemented it into the H08 global hydrological model. The developed diversion scheme was validated in the Chao Phraya River basin, Thailand. Region-specific validation results revealed that the H08 model with the diversion scheme could effectively simulate the observed flood diversion pattern in the basin.
Naota Hanasaki, Hikari Matsuda, Masashi Fujiwara, Yukiko Hirabayashi, Shinta Seto, Shinjiro Kanae, and Taikan Oki
Hydrol. Earth Syst. Sci., 26, 1953–1975, https://doi.org/10.5194/hess-26-1953-2022, https://doi.org/10.5194/hess-26-1953-2022, 2022
Short summary
Short summary
Global hydrological models (GHMs) are usually applied with a spatial resolution of about 50 km, but this time we applied the H08 model, one of the most advanced GHMs, with a high resolution of 2 km to Kyushu island, Japan. Since the model was not accurate as it was, we incorporated local information and improved the model, which revealed detailed water stress in subregions that were not visible with the previous resolution.
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021, https://doi.org/10.5194/gmd-14-3843-2021, 2021
Short summary
Short summary
We analyse water storage compartments, water flows, and human water use sectors included in 16 global water models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b. We develop a standard writing style for the model equations. We conclude that even though hydrologic processes are often based on similar equations, in the end these equations have been adjusted, or the models have used different values for specific parameters or specific variables.
Jun'ya Takakura, Shinichiro Fujimori, Kiyoshi Takahashi, Naota Hanasaki, Tomoko Hasegawa, Yukiko Hirabayashi, Yasushi Honda, Toshichika Iizumi, Chan Park, Makoto Tamura, and Yasuaki Hijioka
Geosci. Model Dev., 14, 3121–3140, https://doi.org/10.5194/gmd-14-3121-2021, https://doi.org/10.5194/gmd-14-3121-2021, 2021
Short summary
Short summary
To simplify calculating economic impacts of climate change, statistical methods called emulators are developed and evaluated. There are trade-offs between model complexity and emulation performance. Aggregated economic impacts can be approximated by relatively simple emulators, but complex emulators are necessary to accommodate finer-scale economic impacts.
Fabian Stenzel, Dieter Gerten, and Naota Hanasaki
Hydrol. Earth Syst. Sci., 25, 1711–1726, https://doi.org/10.5194/hess-25-1711-2021, https://doi.org/10.5194/hess-25-1711-2021, 2021
Short summary
Short summary
Ideas to mitigate climate change include the large-scale cultivation of fast-growing plants to capture atmospheric CO2 in biomass. To maximize the productivity of these plants, they will likely be irrigated. However, there is strong disagreement in the literature on how much irrigation water is needed globally, potentially inducing water stress. We provide a comprehensive overview of global irrigation demand studies for biomass production and discuss the diverse underlying study assumptions.
Robert Reinecke, Hannes Müller Schmied, Tim Trautmann, Lauren Seaby Andersen, Peter Burek, Martina Flörke, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Wim Thiery, Yoshihide Wada, Satoh Yusuke, and Petra Döll
Hydrol. Earth Syst. Sci., 25, 787–810, https://doi.org/10.5194/hess-25-787-2021, https://doi.org/10.5194/hess-25-787-2021, 2021
Short summary
Short summary
Billions of people rely on groundwater as an accessible source of drinking water and for irrigation, especially in times of drought. Groundwater recharge is the primary process of regenerating groundwater resources. We find that groundwater recharge will increase in northern Europe by about 19 % and decrease by 10 % in the Amazon with 3 °C global warming. In the Mediterranean, a 2 °C warming has already lead to a reduction in recharge by 38 %. However, these model predictions are uncertain.
George C. Hurtt, Louise Chini, Ritvik Sahajpal, Steve Frolking, Benjamin L. Bodirsky, Katherine Calvin, Jonathan C. Doelman, Justin Fisk, Shinichiro Fujimori, Kees Klein Goldewijk, Tomoko Hasegawa, Peter Havlik, Andreas Heinimann, Florian Humpenöder, Johan Jungclaus, Jed O. Kaplan, Jennifer Kennedy, Tamás Krisztin, David Lawrence, Peter Lawrence, Lei Ma, Ole Mertz, Julia Pongratz, Alexander Popp, Benjamin Poulter, Keywan Riahi, Elena Shevliakova, Elke Stehfest, Peter Thornton, Francesco N. Tubiello, Detlef P. van Vuuren, and Xin Zhang
Geosci. Model Dev., 13, 5425–5464, https://doi.org/10.5194/gmd-13-5425-2020, https://doi.org/10.5194/gmd-13-5425-2020, 2020
Short summary
Short summary
To estimate the effects of human land use activities on the carbon–climate system, a new set of global gridded land use forcing datasets was developed to link historical land use data to eight future scenarios in a standard format required by climate models. This new generation of land use harmonization (LUH2) includes updated inputs, higher spatial resolution, more detailed land use transitions, and the addition of important agricultural management layers; it will be used for CMIP6 simulations.
Tokuta Yokohata, Tsuguki Kinoshita, Gen Sakurai, Yadu Pokhrel, Akihiko Ito, Masashi Okada, Yusuke Satoh, Etsushi Kato, Tomoko Nitta, Shinichiro Fujimori, Farshid Felfelani, Yoshimitsu Masaki, Toshichika Iizumi, Motoki Nishimori, Naota Hanasaki, Kiyoshi Takahashi, Yoshiki Yamagata, and Seita Emori
Geosci. Model Dev., 13, 4713–4747, https://doi.org/10.5194/gmd-13-4713-2020, https://doi.org/10.5194/gmd-13-4713-2020, 2020
Short summary
Short summary
The most significant feature of MIROC-INTEG-LAND is that the land surface model that describes the processes of the energy and water balances, human water management, and crop growth incorporates a land-use decision-making model based on economic activities. The future simulations indicate that changes in climate have significant impacts on crop yields, land use, and irrigation water demand.
Cited articles
Ai, Z., Hanasaki, N., Heck, V., Hasegawa, T., and Fujimori, S.: H08 (v.bio1), Zenodo, https://doi.org/10.5281/zenodo.3521407, 2019.
Ai, Z., Wang, Q., Yang, Y., Manevski, K., Yi, S., and Zhao, X.: Variation of
gross primary production, evapotranspiration and water use efficiency for
global croplands, Agr. Forest Meteorol., 287, 107935,
https://doi.org/10.1016/j.agrformet.2020.107935, 2020.
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A., and Kustas,
W. P. A.: A climatological study of evapotranspiration and moisture stress
across the continental United States based on thermal remote sensing: 1.
Model formulation, JGR Atmospheres, 112, D10117, https://doi.org/10.1029/2006jd007506,
2007.
Arnold, J. G., Kiniry, J. R., Srinivasan, R., Williams, J. R., and Haney, E. B.,
and Neitsch, S. L.: SWAT 2012 Input/Output Documentation, Texas Water
Resources Institute, Tamu, USA, 650 pp., 2013.
Bauer, N., Rose, S. K., Fujimori, S., Van Vuuren, D. P., Weyant, J., Wise,
M., Cui, Y., Daioglou, V., Gidden, M. J., Kato, E., Kitous, A., Leblanc, F.,
Sands, R., Sano, F., Strefler, J., Tsutsui, J., Bibas, R., Fricko, O.,
Hasegawa, T., Klein, D., Kurosawa, A., Mima, S., and Muratori, M.: Global energy
sector emission reductions and bioenergy use: overview of the bioenergy
demand phase of the EMF-33 model comparison, Climatic Change, 1–16,
https://doi.org/10.1007/s10584-018-2226-y, 2018.
Beale, C. V. and Long, S. P.: Can perennial C4 grasses attain high
efficiencies of radiant energy conversion in cool climates?, Plant. Cell
Environ., 18, 641–650, https://doi.org.10.1111/j.1365-3040.1995.tb00565.x.,
1995.
Beale C. V., Bint, D. A., and Long, S. P.: Leaf photosynthesis in the C4-grass
Miscanthus x giganteus, growing in the cool temperate climate of southern
England, J. Exp. Bot., 47, 267–273, https://doi.org/10.1093/jxb/47.2.267,
1996.
Beringer, T. I. M., Lucht, W., and Schaphoff, S.: Bioenergy production
potential of global biomass plantations under environmental and agricultural
constraints, GCB Bioenergy, 3, 299–312,
https://doi.org/10.1111/j.1757-1707.2010.01088.x, 2011.
Bondeau, A., Smith, P. C., Zaehle, S., Schaphoff, S., Lucht, W., Cramer, W.,
Gerten, D., Lotze-Campen, H., Müller, C., Reichstein, M., and Smith, B.:
Modelling the role of agriculture for the 20th century global terrestrial
carbon balance, Glob. Change Biol., 13, 679–706,
https://doi.org/10.1111/j.1365-2486.2006.01305.x, 2007.
Bonsch, M., Humpenöder, F., Popp, A., Bodirsky, B., Dietrich, J. P.,
Rolinski, S., Biewald, A., Lotze-Campen, H., Weindl, I., Gerten, D., and
Stevanovic, M.: Trade-offs between land and water requirements for
large-scale bioenergy production, GCB Bioenergy, 8, 11–724,
https://doi.org/10.1111/gcbb.12226, 2016.
Cheng, Y., Huang, M., Chen, M., Guan, K., Bernacchi, C., Peng, B., and Tan,
Z.: Parameterizing perennial bioenergy crops in Version 5 of the Community
Land Model based on site-level observations in the Central Midwestern United
States, J. Adv. Model. Earth Sy., 12, 1–24, https://doi.org/10.1029/2019MS001719, 2020.
Clifton-Brown, J. C., Neilson, B., Lewandowski, I., and Jones, M. B.: The
modelled productivity of Miscanthus x giganteus (GREEF et DEU) in
Ireland, Ind. Crops Prod., 12, 97–109,
https://doi.org/10.1016/S0926-6690(00)00042-X, 2000.
Clifton-Brown, J. C., Stampfl, P. F., and Jones, M. B.: Miscanthus biomass
production for energy in Europe and its potential contribution to decreasing
fossil fuel carbon emissions, Glob. Change Biol., 10, 509–518,
https://doi.org/10.1111/j.1529-8817.2003.00749.x, 2004.
Giannoulis, K. D., Karyotis, T., Sakellariou-Makrantonaki, M., Bastiaans,
L., Struik, P. C., and Danalatos, N. G.: Switchgrass biomass partitioning
and growth characteristics under different management practices,
NJAS-Wageningen J. Life Sci., 78, 61–67,
https://doi.org/10.1016/j.njas.2016.03.011, 2016.
Hanasaki, N. and Yamamoto, T.: H08 Manual User's Edition, National
Institute for Environmental Studies, Tsukuba, Japan, 76 pp., 2010.
Hanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K., Shirakawa, N., Shen, Y., and Tanaka, K.: An integrated model for the assessment of global water resources – Part 1: Model description and input meteorological forcing, Hydrol. Earth Syst. Sci., 12, 1007–1025, https://doi.org/10.5194/hess-12-1007-2008, 2008a.
Hanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K., Shirakawa, N., Shen, Y., and Tanaka, K.: An integrated model for the assessment of global water resources – Part 2: Applications and assessments, Hydrol. Earth Syst. Sci., 12, 1027–1037, https://doi.org/10.5194/hess-12-1027-2008, 2008b.
Hanasaki, N., Inuzuka, T., Kanae, S., and Oki, T.: An estimation of global
virtual water flow and sources of water withdrawal for major crops and
livestock products using a global hydrological model, J. Hydrol., 384,
232–244, https://doi.org/10.1016/j.jhydrol.2009.09.028, 2010.
Hanasaki, N., Yoshikawa, S., Pokhrel, Y., and Kanae, S.: A global hydrological simulation to specify the sources of water used by humans, Hydrol. Earth Syst. Sci., 22, 789–817, https://doi.org/10.5194/hess-22-789-2018, 2018a.
Hanasaki, N., Yoshikawa, S., Pokhrel, Y., and Kanae, S.: A quantitative
investigation of the thresholds for two conventional water scarcity
indicators using a state-of-the-art global hydrological model with human
activities, Water Resour. Res., 54, 8279–8294,
https://doi.org/10.1029/2018WR022931, 2018b.
Hastings, A., Clifton-Brown, J., Wattenbach, M., Mitchell, C. P., and Smith,
P.: The development of MISCANFOR, a new Miscanthus crop growth model: towards more
robust yield predictions under different climatic and soil conditions, GCB
Bioenergy, 1, 154–170, https://doi.org/10.1111/j.1757-1707.2009.01007.x, 2009.
Heaton, E. A., Dohleman, F. G., and Long, S. P.: Meeting US biofuel goals
with less land: the potential of Miscanthus, Glob. Change Biol., 14,
2000–2014, https://doi.org/10.1111/j.1365-2486.2008.01662.x, 2008.
Heaton, E. A., Boersma, N., Caveny, J. D., Voigt, T. B., and Dohleman, F.
G.: Miscanthus for biofuel production, available at:
https://farm-energy.extension.org/miscanthus-miscanthus-x-giganteus-for-biofuel-production/, last access: 27 December
2019.
Heck, V., Gerten, D., Lucht, W., and Boysen, L. R.: Is extensive terrestrial
carbon dioxide removal a “green” form of geoengineering? A global modelling
study, Global Planet. Change, 137, 123–130,
https://doi.org/10.1016/j.gloplacha.2015.12.008, 2016.
Heck, V., Gerten, D., Lucht, W., and Popp, A.: Biomass-based negative
emissions difficult to reconcile with planetary boundaries, Nat. Clim.
Change, 8, 151–155, https://doi.org/10.1038/s41558-017-0064-y, 2018.
Hejazi, M. I., Voisin, N., Liu, L., Bramer, L. M., Fortin, D. C., Hathaway,
J. E., Huang, M., Kyle, P., Leung, L. R., Li, H. Y., Liu, Y., Patel, P.,
Pulsipher, P. L., Rice, J. S., Tesfa, T. K., Vernon, C. R., and Zhou, Y.: 21st
century United States emissions mitigation could increase water stress more
than the climate change it is mitigating, P. Natl. Acad. Sci. USA,
112, 10635–10640, https://doi.org/10.1073/pnas.1421675112, 2015.
Iizumi, T., Takikawa, H., Hirabayashi, Y., Hanasaki, N., and Nishimori, M.:
Contributions of different bias-correction methods and reference
meteorological forcing data sets to uncertainty in projected temperature and
precipitation extremes, JGR Atmospheres, 122, 7800–7819,
https://doi.org/10.1002/2017JD026613, 2017.
Jans, Y., Berndes, G., Heinke, J., Lucht, W., and Gerten, D.: Biomass production in plantations: Land constraints increase dependency on irrigation water, GCB Bioenergy, 10, 628–644, https://doi.org/10.1111/gcbb.12530, 2018.
Kang, S., Nair, S. S., Kline, K. L., Nichols, J. A., Wang, D., Post, W. M.,
Brandt, C. C., Wullschleger, S. D., Singh, N., and Wei, Y.: Global simulation of
bioenergy crop productivity: analytical framework and case study for
switchgrass, GCB Bioenergy, 6, 14–25, https://doi.org/10.1111/gcbb.12047, 2014.
Lewandowski, I., Scurlock, J. M., Lindvall, E., and Christou, M.: The
development and current status of perennial rhizomatous grasses as energy
crops in the US and Europe, Biomass Bioenerg., 25, 335–361,
https://doi.org/10.1016/S0961-9534(03)00030-8, 2003.
Li, W., Ciais, P., Makowski, D., and Peng, S.: A global yield dataset for
major lignocellulosic bioenergy crops based on field measurements, Sci.
Data, 5, 180169, https://doi.org/10.1038/sdata.2018.169, 2018a.
Li, W., Yue, C., Ciais, P., Chang, J., Goll, D., Zhu, D., Peng, S., and Jornet-Puig, A.: ORCHIDEE-MICT-BIOENERGY: an attempt to represent the production of lignocellulosic crops for bioenergy in a global vegetation model, Geosci. Model Dev., 11, 2249–2272, https://doi.org/10.5194/gmd-11-2249-2018, 2018b.
Li, W., Ciais, P., Stehfest, E., van Vuuren, D., Popp, A., Arneth, A., Di Fulvio, F., Doelman, J., Humpenöder, F., Harper, A. B., Park, T., Makowski, D., Havlik, P., Obersteiner, M., Wang, J., Krause, A., and Liu, W.: Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale, Earth Syst. Sci. Data, 12, 789–804, https://doi.org/10.5194/essd-12-789-2020, 2020.
Madakadze, I. C., Stewart, K., Peterson, P. R., Coulman, B. E., Samson, R.,
and Smith, D. L.: Light interception, use-efficiency and energy yield of
switchgrass (Panicum virgatum L.) grown in a short season area, Biomass
Bioenerg., 15, 475–482, https://doi.org/10.1016/S0961-9534(98)00060-9,
1998.
Mclsaac, G. F., David, M. B., and Mitchell, C. A.: Miscanthus and
switchgrass production in central Illinois: impacts on hydrology and
inorganic nitrogen leaching, J. Environ. Qual., 39, 1790–1799,
https://doi.org/10.2134/jeq2009.0497, 2010.
Mo, X., Liu, S., Lin, Z., Xu, Y., Xiang, Y., and McVicar, T. R.: Prediction
of crop yield, water consumption and water use efficiency with a SVAT-crop
growth model using remotely sensed data on the North China Plain, Ecol.
Modell., 183, 301–322, https://doi.org/10.1016/j.ecolmodel.2004.07.032, 2005.
Monteith, J. L., Moss, C. J., Cooke G. W., Pirie, N. W., and Bell,
G. D. H.: Climate and the efficiency of crop production in
Britain, Philos. T. Roy. Soc. B, 281, 277–294, https://doi.org/10.1098/rstb.1977.0140, 1977.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., and Williams, J. R.: Soil and
water assessment tool theoretical documentation version 2009, Texas Water
Resources Institute, Tamu, Texas, USA, 647 pp., 2011.
Nichols, J., Kang, S., Post, W., Wang, D., Bandaru, V., Manowitz, D., Zhang, X., and Izaurralde, R.: HPC-EPIC for high resolution simulations of
environmental and sustainability assessment, Comput. Electron. Agric., 79,
112–115, https://doi.org/10.1016/j.compag.2011.08.012, 2011.
Ojeda, J. J., Volenec, J. J., Brouder, S. M., Caviglia, O. P., and Agnusdei,
M. G.: Evaluation of Agricultural Production Systems Simulator as yield
predictor of Panicum virgatum and Miscanthus x giganteus in several US environments, GCB Bioenergy, 9, 796–816,
https://doi.org/10.1111/gcbb.12384, 2017.
Oweis, T., Zhang, H., and Pala, M.: Water use efficiency of rainfed and
irrigated bread wheat in a Mediterranean environment, Agron. J., 92,
231–238, https://doi.org/10.2134/agronj2000.922231x, 2000.
Rose, S. K., Kriegler, E., Bibas, R., Calvin, K., Popp, A., van Vuuren, D.
P., and Weyant, J.: Bioenergy in energy transformation and climate
management, Climatic Change, 123, 477–493,
https://doi.org/10.1007/s10584-013-0965-3, 2013.
Searle, S. Y. and Malins, C. J.: Will energy crop yields meet
expectations?, Biomass Bioenerg., 65, 3–12,
https://doi.org/10.1016/j.biombioe.2014.01.001, 2014.
Smith, P., Davis, S. J., Creutzig, F., Fuss, S., Minx, J., Gabrielle, B.,
Kato, E., Jackson, R. B., Cowie, A., Kriegler, E., van Vuuren, D. P.,
Rogelj, J., Ciais, P., Milne, J., Canadell, J. G., McCollum, D., Peters, G.,
Andrew, R., Krey, V., Shrestha, G., Friedlingstein, P., Gasser, T.,
Grubler, A., Heidug, W. K., Jonas, M., Jones, C. D.,
Kraxner, F., Littleton, E., Lowe, J., Moreira, J. R., Nakicenovic, N.,
Obersteiner, M., Patwardhan, A., Rogner, M., Rubin, E., Sharifi, A.,
Torvanger, A., Yamagata, Y., Edmonds, J., and Yongsung, C.: Biophysical and
economic limits to negative CO2 emissions, Nat. Clim. Change, 6, 42–50,
https://doi.org/10.1038/nclimate2870, 2015.
Stenzel, F., Gerten, D., Werner, C., and Jägermeyr, J.: Freshwater requirements of large-scale bioenergy plantations for limiting global warming to 1.5 ∘C, Environ. Res. Lett., 14, 084001, https://doi.org/10.1088/1748-9326/ab2b4b, 2019.
Trybula, E. M., Cibin, R., Burks, J. L., Chaubey, I., Brouder, S. M., and
Volenec, J. J.: Perennial rhizomatous grasses as bioenergy feedstock in
SWAT: parameter development and model improvement, GCB Bioenergy, 7,
1185–1202, https://doi.org/10.1111/gcbb.12210, 2015.
van der Werf, H. M. G., Meijer, W. J. M., Mathijssen, E. W. J. M., and
Darwinkel, A.: Potential dry matter production of Miscanthus sinensis in the
Netherlands, Ind. Crops Prod., 1, 203–210,
https://doi.org/10.1016/0926-6690(92)90020-V, 1992.
Van Loocke, A., Twine, T. E., Zeri, M., and Bernacchi, C. J.: A regional
comparison of water use efficiency for Miscanthus, switchgrass and maize, Agr.
Forest Meteorol., 164, 82–95,
https://doi.org/10.1016/j.agrformet.2012.05.016, 2012.
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and
Viterbo, P.: The WFDEI meteorological forcing data set: WATCH Forcing Data
methodology applied to ERA-Interim reanalysis data, Water Resour. Res.,
50, 7505–7514, https://doi.org/10.1002/2014WR015638, 2014.
Wu, W., Hasegawa, T., Ohashi, H., Hanasaki, N., Liu, J., Matsui, T.,
Fujimori, S., and Takahashi, K.: Global advanced bioenergy potential under
environmental protection policies and societal transformation measures, GCB
Bioenergy, 11, 1041–1055, https://doi.org/10.1111/gcbb.12614, 2019.
Yamagata, Y., Hanasaki, N., Ito, A., Kinoshita, T., Murakami, D., and Zhou,
Q.: Estimating water-food-ecosystem trade-offs for the global negative
emission scenario (IPCC-RCP2.6), Sustainability Sci., 13, 301–313,
https://doi.org/10.1007/s11625-017-0522-5, 2018.
Yao, Y., Liang, S., Qin, Q., and Wang, K.: Monitoring drought over the
conterminous United States using MODIS and NCEP Reanalysis-2 data, J. Appl.
Meteorol. Clim., 49, 1665–1680, https://doi.org/10.1175/2010jamc2328.1,
2010.
Zeri, M., Hussain, M. Z., Anderson-Teixeira, K. J., Delucia, E., and
Bernacchi, C. J.: Water use efficiency of perennial and annual bioenergy
crops in central Illinois, J. Geophys. Res.-Biogeo., 118, 581–589,
https://doi.org/10.1002/jgrg.20052, 2013.
Short summary
Incorporating bioenergy crops into the well-established global hydrological models is seldom seen today. Here, we successfully enhance a state-of-the-art global hydrological model H08 to simulate bioenergy crop yield. We found that unconstrained irrigation more than doubled the yield under rainfed conditions while simultaneously reducing the water use efficiency by 32 % globally. Our enhanced model provides a new tool for the future assessment of bioenergy–water tradeoffs.
Incorporating bioenergy crops into the well-established global hydrological models is seldom...
