Spatiotemporal Variations and Driving Mechanisms of Vegetation Phenology Across Different Vegetation Types in Yan Mountain from 2000 to 2022
文献类型：期刊论文
| 作者 | Huang, Rong2,4; Luo, Wenxing1,3; Liu, Yu2,4; Wang, Junbang2,4; Zhang, Leiming2,4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-09-02 |
| 卷号 | 17期号:17页码:3051 |
| 关键词 | vegetation phenology spatiotemporal variation climate drivers Yan Mountain |
| DOI | 10.3390/rs17173051 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Yan Mountain, located in the northern part of the Beijing-Tianjin-Hebei economic zone in northern China, serves as a crucial ecological barrier for this densely populated and industrialized region. However, vegetation phenology and its responses to climate change in this region remain unclear. This study utilized MODIS EVI data to extract key phenological metrics and identify dominant vegetation types in Yan Mountain from 2000 to 2022. We analyzed spatiotemporal dynamics and driving mechanisms of vegetation phenology by examining relationships among phenological parameters and their responses to climatic variables. Results revealed significant spatial heterogeneity and interannual variation in vegetation phenology. The start of the growing season (SOS) and peak of the growing season (POS) advanced significantly at rates of 0.54 and 0.19 days/year, respectively. Meanwhile, the end of the growing season (EOS) was delayed by 0.38 days/year, and the growing season length (GSL) was extended by 0.97 days/year. These shifts were more pronounced in grasslands and shrublands than in forests. Significant physiological correlations existed among phenological parameters. Earlier green-up probably advanced POS and significantly delayed EOS. SOS advancement exerted a greater influence on GSL extension than EOS delay, with variations across vegetation types. Mean annual temperature and precipitation jointly regulated phenological shifts; precipitation primarily drove SOS advancement and GSL extension, while temperature mainly advanced POS and delayed EOS. This study elucidates spatiotemporal changes in vegetation phenology and its climate change response patterns in Yan Mountain, providing a crucial reference for ecological management and climate change adaptation strategies. |
| URL标识 | 查看原文 |
| WOS关键词 | AUTUMN PHENOLOGY ; GROWING-SEASON ; CLIMATE-CHANGE ; SPRING PHENOLOGY ; LEAF SENESCENCE ; TIBETAN PLATEAU ; MANN-KENDALL ; RESPONSES ; DYNAMICS ; EARLIER |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001570145900001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216140]  |
| 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, Leiming |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China; 2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Univ Chinese Acad Sci, Yanshan Mt Earth Crit Zone & Surface Flux Res Stn, Beijing 100049, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Huang, Rong,Luo, Wenxing,Liu, Yu,et al. Spatiotemporal Variations and Driving Mechanisms of Vegetation Phenology Across Different Vegetation Types in Yan Mountain from 2000 to 2022[J]. REMOTE SENSING,2025,17(17):3051. |
| APA | Huang, Rong,Luo, Wenxing,Liu, Yu,Wang, Junbang,&Zhang, Leiming.(2025).Spatiotemporal Variations and Driving Mechanisms of Vegetation Phenology Across Different Vegetation Types in Yan Mountain from 2000 to 2022.REMOTE SENSING,17(17),3051. |
| MLA | Huang, Rong,et al."Spatiotemporal Variations and Driving Mechanisms of Vegetation Phenology Across Different Vegetation Types in Yan Mountain from 2000 to 2022".REMOTE SENSING 17.17(2025):3051. |
入库方式： OAI收割
来源：地理科学与资源研究所
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