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Increasing impacts of extreme droughts on vegetation productivity under climate change

Author

Listed:
  • Chonggang Xu

    (Los Alamos National Laboratory)

  • Nate G. McDowell

    (Pacific Northwest National Laboratory)

  • Rosie A. Fisher

    (National Center for Atmospheric Research
    Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique)

  • Liang Wei

    (Los Alamos National Laboratory
    College of Earth and Environmental Sciences, Lanzhou University)

  • Sanna Sevanto

    (Los Alamos National Laboratory)

  • Bradley O. Christoffersen

    (The University of Texas Rio Grande Valley)

  • Ensheng Weng

    (Columbia University and NASA Goddard Institute for Space Studies)

  • Richard S. Middleton

    (Los Alamos National Laboratory)

Abstract

Terrestrial gross primary production (GPP) is the basis of vegetation growth and food production globally1 and plays a critical role in regulating atmospheric CO2 through its impact on ecosystem carbon balance. Even though higher CO2 concentrations in future decades can increase GPP2, low soil water availability, heat stress and disturbances associated with droughts could reduce the benefits of such CO2 fertilization. Here we analysed outputs of 13 Earth system models to show an increasingly stronger impact on GPP by extreme droughts than by mild and moderate droughts over the twenty-first century. Due to a dramatic increase in the frequency of extreme droughts, the magnitude of globally averaged reductions in GPP associated with extreme droughts was projected to be nearly tripled by the last quarter of this century (2075–2099) relative to that of the historical period (1850–1999) under both high and intermediate GHG emission scenarios. By contrast, the magnitude of GPP reductions associated with mild and moderate droughts was not projected to increase substantially. Our analysis indicates a high risk of extreme droughts to the global carbon cycle with atmospheric warming; however, this risk can be potentially mitigated by positive anomalies of GPP associated with favourable environmental conditions.

Suggested Citation

  • Chonggang Xu & Nate G. McDowell & Rosie A. Fisher & Liang Wei & Sanna Sevanto & Bradley O. Christoffersen & Ensheng Weng & Richard S. Middleton, 2019. "Increasing impacts of extreme droughts on vegetation productivity under climate change," Nature Climate Change, Nature, vol. 9(12), pages 948-953, December.
  • Handle: RePEc:nat:natcli:v:9:y:2019:i:12:d:10.1038_s41558-019-0630-6
    DOI: 10.1038/s41558-019-0630-6
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    Citations

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    Cited by:

    1. Yiping Wu & Xiaowei Yin & Guoyi Zhou & L. Adrian Bruijnzeel & Aiguo Dai & Fan Wang & Pierre Gentine & Guangchuang Zhang & Yanni Song & Decheng Zhou, 2024. "Rising rainfall intensity induces spatially divergent hydrological changes within a large river basin," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Yanxi Zhao & Dengpan Xiao & Huizi Bai & Jianzhao Tang & De Li Liu & Yongqing Qi & Yanjun Shen, 2022. "The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms," Agriculture, MDPI, vol. 13(1), pages 1-19, December.
    3. Yabin Da & Yangyang Xu & Bruce McCarl, 2022. "Effects of Surface Ozone and Climate on Historical (1980–2015) Crop Yields in the United States: Implication for Mid-21st Century Projection," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(2), pages 355-378, February.
    4. Yaoping Wang & Jiafu Mao & Forrest M. Hoffman & Céline J. W. Bonfils & Hervé Douville & Mingzhou Jin & Peter E. Thornton & Daniel M. Ricciuto & Xiaoying Shi & Haishan Chen & Stan D. Wullschleger & Shi, 2022. "Quantification of human contribution to soil moisture-based terrestrial aridity," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Huang, Wenhuan & Wang, Hailong, 2021. "Drought and intensified agriculture enhanced vegetation growth in the central Pearl River Basin of China," Agricultural Water Management, Elsevier, vol. 256(C).
    6. Adama A. Gross & Uriah G. Bailey & Inioluwa Ogunseye, 2024. "Corruption, Prebendalism and the Fragile State: A Case Study on Liberia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(2), pages 1445-1457, February.
    7. Xiangtao Wang & Zhigang Hu & Ziwei Zhang & Jiwang Tang & Ben Niu, 2024. "Altitude-Shifted Climate Variables Dominate the Drought Effects on Alpine Grasslands over the Qinghai–Tibetan Plateau," Sustainability, MDPI, vol. 16(15), pages 1-16, August.
    8. Cai, Qingyin & Çakır, Metin & Beatty, Timothy & Park, Timothy A., 2022. "Drought and the Specialty Crops Production in California," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322530, Agricultural and Applied Economics Association.
    9. Taofeek O. Muraina, 2020. "Frameworks on Patterns of Grasslands’ Sensitivity to Forecast Extreme Drought," Sustainability, MDPI, vol. 12(19), pages 1-13, September.
    10. David L. Miller & Sebastian Wolf & Joshua B. Fisher & Benjamin F. Zaitchik & Jingfeng Xiao & Trevor F. Keenan, 2023. "Increased photosynthesis during spring drought in energy-limited ecosystems," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    11. Houkun Chu & Hong Ni & Jingyong Ma & Yuying Shen, 2022. "Effect of Precipitation Variation on Soil Respiration in Rain-Fed Winter Wheat Systems on the Loess Plateau, China," IJERPH, MDPI, vol. 19(11), pages 1-18, June.
    12. Zefeng Chen & Weiguang Wang & Giovanni Forzieri & Alessandro Cescatti, 2024. "Transition from positive to negative indirect CO2 effects on the vegetation carbon uptake," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    13. Lilian Wangui Ndungu & John Bosco Kyalo Kiema & David Nyangau Siriba & Denis Macharia Muthike & Samuel Wamathai Ndungu, 2022. "A Forward Future-Based Approach to Optimizing Agriculture and Climate Change Adaptation in Lower Eastern Kenya," Land, MDPI, vol. 11(12), pages 1-14, November.

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