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Modeling Impacts of Climate Change and Adaptation Measures on Rice Growth in Hainan, China

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  • Rongchang Yang

    (Zhai Mingguo Academician Workstation, University of Sanya, Sanya 572000, China
    Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    These authors contributed equally to this work.)

  • Yahui Guo

    (Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    State Environmental Protection Key Laboratory of Monitoring for Heavy Metal Pollutants, Changsha 410019, China
    These authors contributed equally to this work.)

  • Jiangwen Nie

    (Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou 434025, China)

  • Wei Zhou

    (Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    State Environmental Protection Key Laboratory of Monitoring for Heavy Metal Pollutants, Changsha 410019, China)

  • Ruichen Ma

    (Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    State Environmental Protection Key Laboratory of Monitoring for Heavy Metal Pollutants, Changsha 410019, China)

  • Bo Yang

    (Zhai Mingguo Academician Workstation, University of Sanya, Sanya 572000, China
    Environmental Big Data and Digital Governance Key Laboratory of Philosophy and Social Sciences in Hainan Province, Sanya 572022, China)

  • Jinhe Shi

    (School of Foreign Language, Beijing Institute of Technology, Zhuhai 519088, China)

  • Jing Geng

    (Zhai Mingguo Academician Workstation, University of Sanya, Sanya 572000, China
    Environmental Big Data and Digital Governance Key Laboratory of Philosophy and Social Sciences in Hainan Province, Sanya 572022, China)

  • Wenxiang Wu

    (Zhai Mingguo Academician Workstation, University of Sanya, Sanya 572000, China
    Environmental Big Data and Digital Governance Key Laboratory of Philosophy and Social Sciences in Hainan Province, Sanya 572022, China)

  • Ji Liu

    (State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China)

  • W. M. W. W. Kandegama

    (Department of Horticulture and Landscape Gardening, Faculty of Agriculture and Plantation Management, Wayamba University of Sri Lanka, Makandura, Gonawila 60170, Sri Lanka)

  • Mario Cunha

    (Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua do Campo Alegre, S/N, 4169-007 Porto, Portugal)

Abstract

Rising temperatures, extreme precipitation events such as excessive or insufficient rainfall, increasing levels of carbon dioxide, and associated climatic factors will persistently impact crop growth and agricultural production. The warming temperatures have reduced the agricultural crop yields. Rice ( Oryza sativa L.) is the major food crop, which is particularly susceptible to the effects of climate change. It is very important to accurately evaluate the impacts of climate change on rice growth and rice yield. In this study, the rice growth during 1981–2018 (baseline period) and 2041–2100 (future period) were separately simulated and compared within the CERES-Rice model (v4.6) using high-quality weather data, soil, and field experimental data at six agro-meteorological stations in Hainan Province. For the climate data of the future period, the SSP1-2.6, SSP3-7.0, and SSP5-8.5 scenarios were applied, with carbon dioxide (CO 2 ) fertilization effects considered. The adaptation strategies such as adjusting planting dates and switching rice cultivars were also assessed. The simulation results indicated that the early rice yields in the 2050s, 2070s, and 2090s were projected to decrease by 6.2%, 11.8%, and 20.0% when the CO 2 fertilization effect was not considered, compared with the results of the baseline period, respectively, while late rice yields would decline by 9.9%, 23.4%, and 36.3% correspondingly. When accounting for the CO 2 fertilization effect, the yields of early rice and late rice in the 2090s increased 16.9% and 6.2%, respectively. Regarding adaptation measures, adjusting planting dates and switching rice cultivars could increase early rice yields by 22.7% and 43.3%, respectively, while increasing late rice yields by 20.2% and 34.2% correspondingly. This study holds substantial scientific importance for elucidating the mechanistic pathways through which climate change influences rice productivity in tropical agro-ecosystems, and provides a critical foundation for formulating evidence-based adaptation strategies to mitigate climate-related risks in a timely manner. Cultivar substitution and temporal shifts in planting dates constituted two adaptation strategies for attenuating the adverse impacts of anthropogenic climate change on rice.

Suggested Citation

  • Rongchang Yang & Yahui Guo & Jiangwen Nie & Wei Zhou & Ruichen Ma & Bo Yang & Jinhe Shi & Jing Geng & Wenxiang Wu & Ji Liu & W. M. W. W. Kandegama & Mario Cunha, 2025. "Modeling Impacts of Climate Change and Adaptation Measures on Rice Growth in Hainan, China," Sustainability, MDPI, vol. 18(1), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:18:y:2025:i:1:p:115-:d:1823766
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