Articles | Volume 22, issue 11
https://doi.org/10.5194/bg-22-2637-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-2637-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Duration of vegetation green-up response to snowmelt on the Tibetan Plateau
Jingwen Ni
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Jin Chen
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Yao Tang
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Jingyi Xu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
Jiahui Xu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Linxin Dong
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Qingyu Gu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Bailang Yu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Jianping Wu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
Yan Huang
CORRESPONDING AUTHOR
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
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Cited
4 citations as recorded by crossref.
- Multisource Data Fusion for Snowmelt Runoff Onset Date Estimation in Forested Areas Z. Li et al. https://doi.org/10.1109/JSTARS.2026.3722581
- Downscaled snow depth over the Tibetan Plateau via meteorology- and topography-informed generative adversarial network Z. Ma et al. https://doi.org/10.1016/j.ejrh.2026.103973
- Disentangling Climatic and Anthropogenic Drivers of Vegetation Dynamics in the Upper Indus Basin Using Multi-Source Remote Sensing K. Ahmad et al. https://doi.org/10.3390/w18121451
- Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau L. Yong et al. https://doi.org/10.5194/hess-30-1585-2026
4 citations as recorded by crossref.
- Multisource Data Fusion for Snowmelt Runoff Onset Date Estimation in Forested Areas Z. Li et al. https://doi.org/10.1109/JSTARS.2026.3722581
- Downscaled snow depth over the Tibetan Plateau via meteorology- and topography-informed generative adversarial network Z. Ma et al. https://doi.org/10.1016/j.ejrh.2026.103973
- Disentangling Climatic and Anthropogenic Drivers of Vegetation Dynamics in the Upper Indus Basin Using Multi-Source Remote Sensing K. Ahmad et al. https://doi.org/10.3390/w18121451
- Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau L. Yong et al. https://doi.org/10.5194/hess-30-1585-2026
Saved (final revised paper)
Latest update: 22 Sep 2026
Short summary
The effect of snowmelt on vegetation is not immediate but has a mean response lag of 38.5 d. As precipitation and snowmelt increase, the response time shortens. More complex than these factors, temperature shortens the response time in colder regions while lengthening it in warmer areas. Furthermore, vegetation in arid regions is more dependent on water than heat, and low-vegetation areas rely more on sub-snow habitats than external climatic factors.
The effect of snowmelt on vegetation is not immediate but has a mean response lag of 38.5 d. As...
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