Redefining seasons: Dynamic meteorological delineation unveils novel patterns in vegetation phenology responses to climate change
文献类型：期刊论文
| 作者 | Fan, Xinyi1,2; Hao, Zhixin1,2; Liu, Yang1,2 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 171页码:113214 |
| 关键词 | Vegetation phenology Climate change Seasonal variations Dynamic meteorological model |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2025.113214 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Vegetation phenology is a sensitive indicator of climate change, and the impact of large-scale meteorological seasonal variations on phenological patterns remains understudied because traditional seasonal divisions fail to capture the dynamics of rapid phenological change. Utilizing CN05 gridded temperature data, we applied a dynamic meteorological model to analyze the spatial distribution and trends of spring and autumn, revealing their influence on regional vegetation phenology. We revealed that the start of spring and end of spring advanced at rates of -0.19 d center dot yr- 1 and -0.15 d center dot yr- 1, respectively, affecting 92.57 % and 82.85 % of the study area. Conversely, the start and end of autumn were delayed by + 0.06 d center dot yr- 1 and + 0.10 d center dot yr- 1, impacting 54.05 % and 89.96 % of the region. The length of spring and length of autumn increased at rates of + 0.05 d center dot yr- 1 and + 0.02 d center dot yr- 1, respectively, across 55.93 % and 53.97 % of the area. These changes exhibited a clear latitudinal gradient, with a decreasing duration from south to north. Significant correlations were observed between seasonal variations and vegetation phenology; earlier spring onset corresponded to an earlier start of the growing season in 71.58 % of the study area, while a later end of autumn correlated with a delayed end of the growing season in 59.72 % of the region. This study systematically demonstrates, for the first time, the extensive influence of climate-driven seasonal changes on vegetation phenology, offering valuable insights for weather forecasting, climate zoning, and phenology management. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; SPRING PHENOLOGY ; CAMBIAL ACTIVITY ; SOLAR-RADIATION ; CHINA ; TEMPERATURE ; MODIS ; COEFFICIENT ; VARIABILITY ; FEEDBACKS |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001426098800001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212338]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Hao, Zhixin |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Fan, Xinyi,Hao, Zhixin,Liu, Yang. Redefining seasons: Dynamic meteorological delineation unveils novel patterns in vegetation phenology responses to climate change[J]. ECOLOGICAL INDICATORS,2025,171:113214. |
| APA | Fan, Xinyi,Hao, Zhixin,&Liu, Yang.(2025).Redefining seasons: Dynamic meteorological delineation unveils novel patterns in vegetation phenology responses to climate change.ECOLOGICAL INDICATORS,171,113214. |
| MLA | Fan, Xinyi,et al."Redefining seasons: Dynamic meteorological delineation unveils novel patterns in vegetation phenology responses to climate change".ECOLOGICAL INDICATORS 171(2025):113214. |
入库方式： OAI收割
来源：地理科学与资源研究所
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