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Widespread spring phenology effects on drought recovery of Northern Hemisphere ecosystems

Author

Listed:
  • Yang Li

    (Beijing Normal University
    Beijing Normal University)

  • Wen Zhang

    (University of Arizona)

  • Christopher R. Schwalm

    (Woodwell Climate Research Center)

  • Pierre Gentine

    (Columbia University)

  • William K. Smith

    (University of Arizona)

  • Philippe Ciais

    (Laboratoire des Sciences du Climat et de l’Environnement, CEA/CNRS/UVSQ/Universit ́e Paris Saclay)

  • John S. Kimball

    (University of Montana)

  • Antonio Gazol

    (Pyrenean Institute of Ecology (IPE-CSIC))

  • Steven A. Kannenberg

    (University of Utah
    Colorado State University)

  • Anping Chen

    (Colorado State University)

  • Shilong Piao

    (Peking University)

  • Hongyan Liu

    (Peking University)

  • Deliang Chen

    (University of Gothenburg)

  • Xiuchen Wu

    (Beijing Normal University
    People’s Government of Qinghai Province & Beijing Normal University)

Abstract

The time required for an ecosystem to recover from severe drought is a key component of ecological resilience. The phenology effects on drought recovery are, however, poorly understood. These effects centre on how phenology variations impact biophysical feedbacks, vegetation growth and, ultimately, recovery itself. Using multiple remotely sensed datasets, we found that more than half of ecosystems in mid- and high-latitudinal Northern Hemisphere failed to recover from extreme droughts within a single growing season. Earlier spring phenology in the drought year slowed drought recovery when extreme droughts occurred in mid-growing season. Delayed spring phenology in the subsequent year slowed drought recovery for all vegetation types (with importance of spring phenology ranging from 46% to 58%). The phenology effects on drought recovery were comparable to or larger than other well-known postdrought climatic factors. These results strongly suggest that the interactions between vegetation phenology and drought must be incorporated into Earth system models to accurately quantify ecosystem resilience.

Suggested Citation

  • Yang Li & Wen Zhang & Christopher R. Schwalm & Pierre Gentine & William K. Smith & Philippe Ciais & John S. Kimball & Antonio Gazol & Steven A. Kannenberg & Anping Chen & Shilong Piao & Hongyan Liu & , 2023. "Widespread spring phenology effects on drought recovery of Northern Hemisphere ecosystems," Nature Climate Change, Nature, vol. 13(2), pages 182-188, February.
    • Handle: RePEc:nat:natcli:v:13:y:2023:i:2:d:10.1038_s41558-022-01584-2
    DOI: 10.1038/s41558-022-01584-2
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    References listed on IDEAS

    as
    1. Peng Jiang & Hongyan Liu & Shilong Piao & Philippe Ciais & Xiuchen Wu & Yi Yin & Hongya Wang, 2019. "Enhanced growth after extreme wetness compensates for post-drought carbon loss in dry forests," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    2. Manuel Delgado-Baquerizo & Fernando T. Maestre & Peter B. Reich & Thomas C. Jeffries & Juan J. Gaitan & Daniel Encinar & Miguel Berdugo & Colin D. Campbell & Brajesh K. Singh, 2016. "Microbial diversity drives multifunctionality in terrestrial ecosystems," Nature Communications, Nature, vol. 7(1), pages 1-8, April.
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    Cited by:

    1. Jiao, Yinying & Zhu, Guofeng & Meng, Gaojia & Lu, Siyu & Qiu, Dongdong & Lin, Xinrui & Li, Rui & Wang, Qinqin & Chen, Longhu & Zhao, Ling & Yang, Jiangwei & Sun, Niu, 2023. "Estimating non-productive water loss in irrigated farmland in arid oasis regions: Based on stable isotope data," Agricultural Water Management, Elsevier, vol. 289(C).
    2. Sinan Wang & Xigang Xing & Yingjie Wu & Jianying Guo & Mingyang Li & Bin Fu, 2024. "Seasonal Response of the NDVI to the SPEI at Different Time Scales in Yinshanbeilu, Inner Mongolia, China," Land, MDPI, vol. 13(4), pages 1-17, April.
    3. Xian Liu & Hengkai Li & Yanbing Zhou & Yang Yu & Xiuli Wang, 2024. "The Impact of Seasonal Climate on Dryland Vegetation NPP: The Mediating Role of Phenology," Sustainability, MDPI, vol. 16(22), pages 1-19, November.
    4. Li, Jiale & Li, Yu & Yin, Lei & Zhao, Quanhua, 2024. "A novel composite drought index combining precipitation, temperature and evapotranspiration used for drought monitoring in the Huang-Huai-Hai Plain," Agricultural Water Management, Elsevier, vol. 291(C).

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