Contrasting Trends in Onset of Spring Green‐Up Between Grasslands and Forests in China

Abstract Spring vegetation phenology (green‐up onset date, GUD) exhibits notable sensitivity to climate change, serving as a critical indicator of ecosystem dynamics. However, long‐term changes and drivers of GUD remain unclear. Here we showed that satellite‐derived GUD averaged over China forests and grasslands advanced by −1.3 ± 0.4 (mean ± SD) days decade −1 during 1982–2022, but with contrasting trends between forests (−5.0 ± 0.6 days decade −1 ) and grasslands (2.8 ± 0.6 days decade −1 ), despite similarly increasing temperature and precipitation. Such contrasting trends were caused by different responses to higher preseason mean temperature and more total precipitation. Moreover, sensitivities of GUD to temperature and precipitation showed different patterns with respect to spatial gradient of background climate conditions between forests and grasslands. Our study elucidates different mechanisms behind forests and grasslands responding to climate change, which could help optimize land‐management strategies and anticipate vegetation distribution under climate change.

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Publication Details

Journal
Earth s Future
Published
2025-03-01
DOI
https://doi.org/10.1029/2024ef005379
Citations
13
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
14.37

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article

Contrasting Trends in Onset of Spring Green‐Up Between Grasslands and Forests in China

Wenmin Zhang, Miaogen Shen, Jian Wang, Martin G. De Kauwe et al.
13 citations
Earth s Future
Plant Water Relations and Carbon Dynamics
14.37
article

Contrasting Trends in Onset of Spring Green‐Up Between Grasslands and Forests in China

Wenmin Zhang, Miaogen Shen, Jian Wang, Martin G. De Kauwe, Ying Hu, Yongzhe Chen, Yuanwei Qin, Chaoyang Wu, Lingfan Wan, Bo Fu, Katerina Michaelides, Yue Wang, Xiangming Xiao, Zhuangzhuang Wang, Xiaoming Feng
article en
13 citations

Abstract

Abstract Spring vegetation phenology (green‐up onset date, GUD) exhibits notable sensitivity to climate change, serving as a critical indicator of ecosystem dynamics. However, long‐term changes and drivers of GUD remain unclear. Here we showed that satellite‐derived GUD averaged over China forests and grasslands advanced by −1.3 ± 0.4 (mean ± SD) days decade −1 during 1982–2022, but with contrasting trends between forests (−5.0 ± 0.6 days decade −1 ) and grasslands (2.8 ± 0.6 days decade −1 ), despite similarly increasing temperature and precipitation. Such contrasting trends were caused by different responses to higher preseason mean temperature and more total precipitation. Moreover, sensitivities of GUD to temperature and precipitation showed different patterns with respect to spatial gradient of background climate conditions between forests and grasslands. Our study elucidates different mechanisms behind forests and grasslands responding to climate change, which could help optimize land‐management strategies and anticipate vegetation distribution under climate change.

Earth s FutureVol. 13(3)
University of California, Santa Barbara (US), Chinese Academy of Sciences (CN), Beijing Normal University (CN), University of Bristol (GB), Research Center for Eco-Environmental Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), East China Normal University (CN), University of Oklahoma (US), Shaanxi Normal University (CN), University of Hong Kong (HK)
China Scholarship Council
Openalex Percentile: Top 1%
Plant Water Relations and Carbon Dynamics
14.37
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