Mapping vegetation phenology and its response to climate change in Southwest China using solar-induced chlorophyll fluorescence
文献类型:期刊论文
| 作者 | Tang, Feng1,2; Ge, Zhongxi1,2; Tang, Bohui1,2,3; Fang, Liuyang2; Zhang, Zhen1,2; Fan, Dong1,2; Chen, Junyi1,2; Zhu, Xinming1,2 |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
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| 出版日期 | 2026 |
| 卷号 | 23期号:1页码:97-117 |
| 关键词 | Carbon stability Mountain area Vegetation phenology Evergreen vegetation Solar induced chlorophyll fluorescence |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-025-9700-6 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Accurate phenological information is essential for measuring ecosystem dynamics and carbon uptake. Southwest China is one of the country's largest terrestrial carbon sink regions and plays a crucial role in carbon peaking and neutrality. However, its complex terrain, fragile ecosystem, and variable climate challenge carbon sink stability. Vegetation phenology significantly impacts carbon absorption and release, making accurate phenological data essential for understanding carbon sequestration dynamics. The widespread distribution of evergreen forests and their weak seasonal variation in canopy introduce significant uncertainties in extracting phenology using traditional remote sensing information in this region. These limitations can lead to inaccurate assessments of carbon sink dynamics. Therefore, precise phenology extraction and analysis are vital for improving ecosystem dynamics and the carbon cycle in Southwest China. Firstly, we employed different ways to evaluate the ability of solar-induced chlorophyll fluorescence (SIF) and traditional remote sensing information to extract phenology. Secondly, based on SIF, we analyzed the spatial and temporal changes in the start of the growing season (SOS), the end of the growing season (EOS), and the length of the growing season (LOS) from 2001 to 2020. Finally, we systematically analyzed the response of SOS and EOS to five preseason climatic factors. The results showed that (1) SIF outperformed traditional remote sensing information in extracting phenology. (2) Vegetation phenology exhibited significant spatial heterogeneity. Moreover, SOS, EOS, and LOS showed trends of advancement, delay, and extension both overall and across all vegetation types. (3) Precipitation was the main factor influencing SOS, while surface downward solar radiation and mean temperature were the main factors affecting EOS, and the phenology of different vegetation types showed a great difference in response to preseason climate factors. These findings improve our understanding of vegetation phenology and its dynamics over Southwest China. |
| URL标识 | 查看原文 |
| WOS关键词 | SUN-INDUCED FLUORESCENCE ; GROWING-SEASON ; CARBON BALANCE ; TEMPERATURE ; FORESTS ; INDEXES ; MODIS ; PHOTOSYNTHESIS ; DYNAMICS ; AUTUMN |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001663114300008 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219643] ![]() |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Ge, Zhongxi |
| 作者单位 | 1.Yunnan Prov Dept Educ, Key Lab Plateau Remote Sensing, Kunming 650093, Peoples R China; 2.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China; 3.Inst Geog Sci & Nat Resources Res, Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Beijing 100000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Feng,Ge, Zhongxi,Tang, Bohui,et al. Mapping vegetation phenology and its response to climate change in Southwest China using solar-induced chlorophyll fluorescence[J]. JOURNAL OF MOUNTAIN SCIENCE,2026,23(1):97-117. |
| APA | Tang, Feng.,Ge, Zhongxi.,Tang, Bohui.,Fang, Liuyang.,Zhang, Zhen.,...&Zhu, Xinming.(2026).Mapping vegetation phenology and its response to climate change in Southwest China using solar-induced chlorophyll fluorescence.JOURNAL OF MOUNTAIN SCIENCE,23(1),97-117. |
| MLA | Tang, Feng,et al."Mapping vegetation phenology and its response to climate change in Southwest China using solar-induced chlorophyll fluorescence".JOURNAL OF MOUNTAIN SCIENCE 23.1(2026):97-117. |
入库方式: OAI收割
来源:地理科学与资源研究所
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