Variation in plant phenological changes and contributions by climatic drivers across six grassland and desert ecosystems in China
文献类型:期刊论文
| 作者 | Zheng, Yuanhao6,7; Zhang, Li1,6,8; He, Honglin1,6,8; Ren, Xiaoli1,6; Xu, Qian1,6; Zhang, Zhenhua5; Bai, Yongfei2; Li, Xinrong3; Li, Yuqiang3; Tian, Changyan4 |
| 刊名 | INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
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| 出版日期 | 2026 |
| 卷号 | 70期号:1页码:3 |
| 关键词 | Phenological variation Grassland Desert ecosystems Soil moisture Daytime temperature |
| ISSN号 | 0020-7128 |
| DOI | 10.1007/s00484-025-03096-y |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Plant spring phenology advancements have been broadly observed, but the change in autumn phenology has varied greatly among different regions and species under global warming. Moreover, how plant phenology responds to climate change in grasslands and deserts is not well understood compared with that in forests. Here, we used long-term (2005 similar to 2020) phenological and climatic in situ observation data from six grassland and desert sites in China to analyze temporal trends in the start (SOS) and end (EOS) of the growing season for 27 herbaceous and shrub species and their responses to climatic factors. The results demonstrated that 70% of the species presented an earlier SOS and that 59% of the species presented an earlier EOS, which resulted in a shortened growing season (LOS) for 41% of the species. The LOS trends were driven by EOS trends, which had greater variation (1.2 days yr(- 1)) than did the SOS trends (0.5 days yr(- 1)). The significant changes in EOS were associated mainly with soil moisture in autumn for shrub species. We should be cautious in using the relationship between EOS and SOS to simulate the EOS in models because their correlation is statistically significant only for a small subset of species. This study highlights a greater variability of autumn phenological changes in grassland and desert ecosystems and reveals the critical contributions of spring daytime temperature and autumn soil moisture to phenological changes. We recommend considering the divergent autumn phenological responses to climate factors, especially soil moisture, among plant life forms and species in terrestrial ecosystem models by improving the model structure and involving species-specific parameters. |
| URL标识 | 查看原文 |
| WOS关键词 | LEAF SENESCENCE ; AUTUMN PHENOLOGY ; SPRING PHENOLOGY ; RESPONSES |
| WOS研究方向 | Biophysics ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences ; Physiology |
| 语种 | 英语 |
| WOS记录号 | WOS:001653287500007 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219734] ![]() |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Li |
| 作者单位 | 1.Natl Ecosyst Sci Data Ctr, Beijing 100101, Peoples R China; 2.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China; 3.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; 4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 5.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 7.Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China; 8.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zheng, Yuanhao,Zhang, Li,He, Honglin,et al. Variation in plant phenological changes and contributions by climatic drivers across six grassland and desert ecosystems in China[J]. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,2026,70(1):3. |
| APA | Zheng, Yuanhao.,Zhang, Li.,He, Honglin.,Ren, Xiaoli.,Xu, Qian.,...&Huang, Zhenying.(2026).Variation in plant phenological changes and contributions by climatic drivers across six grassland and desert ecosystems in China.INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,70(1),3. |
| MLA | Zheng, Yuanhao,et al."Variation in plant phenological changes and contributions by climatic drivers across six grassland and desert ecosystems in China".INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 70.1(2026):3. |
入库方式: OAI收割
来源:地理科学与资源研究所
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