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Characterization of greenhouse gas emissions and water requirement of farmland in China's main grain-producing areas under future climate scenarios

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  • Yang, Yuxin
  • Tang, Yihe
  • Sun, Shikun
  • Yang, Zemin
  • Wang, Siya
  • Zhang, Peng
  • Wang, Yubao

Abstract

Addressing the key challenges that climate change posed by agricultural sustainability requires special attention to greenhouse gas emissions and agricultural water use. Differences among crops and regions significantly affect the water‑carbon characteristics of grain production to climate change. However, the mechanisms underlying this impact and its assessment at high resolution over long timescales remain insufficiently understood.

Suggested Citation

  • Yang, Yuxin & Tang, Yihe & Sun, Shikun & Yang, Zemin & Wang, Siya & Zhang, Peng & Wang, Yubao, 2025. "Characterization of greenhouse gas emissions and water requirement of farmland in China's main grain-producing areas under future climate scenarios," Agricultural Systems, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:agisys:v:225:y:2025:i:c:s0308521x25000332
    DOI: 10.1016/j.agsy.2025.104293
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    1. Wang, Jianqing & Liu, Xiaoyu & Cheng, Kun & Zhang, Xuhui & Li, Lianqing & Pan, Genxing, 2018. "Winter wheat water requirement and utilization efficiency under simulated climate change conditions: A Penman-Monteith model evaluation," Agricultural Water Management, Elsevier, vol. 197(C), pages 100-109.
    2. Keith Paustian & Johannes Lehmann & Stephen Ogle & David Reay & G. Philip Robertson & Pete Smith, 2016. "Climate-smart soils," Nature, Nature, vol. 532(7597), pages 49-57, April.
    3. Dang, Chiheng & Zhang, Hongbo & Yao, Congcong & Mu, Dengrui & Lyu, Fengguang & Zhang, Yu & Zhang, Shuqi, 2024. "IWRAM: A hybrid model for irrigation water demand forecasting to quantify the impacts of climate change," Agricultural Water Management, Elsevier, vol. 291(C).
    4. De Liu & Heping Zuo, 2012. "Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia," Climatic Change, Springer, vol. 115(3), pages 629-666, December.
    5. Chen, Xiaoping & Qi, Zhiming & Gui, Dongwei & Gu, Zhe & Ma, Liwang & Zeng, Fanjiang & Li, Lanhai, 2019. "Simulating impacts of climate change on cotton yield and water requirement using RZWQM2," Agricultural Water Management, Elsevier, vol. 222(C), pages 231-241.
    6. Acharjee, Tapos Kumar & Ludwig, Fulco & van Halsema, Gerardo & Hellegers, Petra & Supit, Iwan, 2017. "Future changes in water requirements of Boro rice in the face of climate change in North-West Bangladesh," Agricultural Water Management, Elsevier, vol. 194(C), pages 172-183.
    7. Xu, Hanqing & Tian, Zhan & He, Xiaogang & Wang, Jun & Sun, Laixiang & Fischer, Günther & Fan, Dongli & Zhong, Honglin & Wu, Wei & Pope, Edward & Kent, Chris & Liu, Junguo, 2019. "Future increases in irrigation water requirement challenge the water-food nexus in the northeast farming region of China," Agricultural Water Management, Elsevier, vol. 213(C), pages 594-604.
    8. Gilhespy, Sarah L. & Anthony, Steven & Cardenas, Laura & Chadwick, David & del Prado, Agustin & Li, Changsheng & Misselbrook, Thomas & Rees, Robert M. & Salas, William & Sanz-Cobena, Alberto & Smith, , 2014. "First 20 years of DNDC (DeNitrification DeComposition): Model evolution," Ecological Modelling, Elsevier, vol. 292(C), pages 51-62.
    9. Yuting Yang & Michael L. Roderick & Shulei Zhang & Tim R. McVicar & Randall J. Donohue, 2019. "Hydrologic implications of vegetation response to elevated CO2 in climate projections," Nature Climate Change, Nature, vol. 9(1), pages 44-48, January.
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