Diagnose the dominant climate factors and periods of spring phenology in Qinling Mountains, China
文献类型：期刊论文
| 作者 | Yin, Cong1,2,3; Yang, Yaping1,2,4; Yang, Fei2,4; Chen, Xiaona1,2; Xin, Ying1,2,3; Luo, Peixian1,2,3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 131页码:12 |
| 关键词 | Spring phenology Climate change Vegetation Land cover Qinling Mountains |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2021.108211 |
| 通讯作者 | Yang, Yaping(yangyp@igsnrr.ac.cn) |
| 英文摘要 | The important effect of climate factors on spring phenology has been confirmed by numerous studies, but its temporal variation remains unclear. Based on the daily meteorological observation data and annual vegetation phenology data from 1987 to 2016, this study proposes a Time Window Sliding Fitting (TWSF) method. Partial Least Squares (PLS) regression is used to investigate the relationship between spring phenology and five climate factors, including mean temperature, total precipitation, mean photoperiod, chilling index and forcing index, in all time windows from December to next May with 7-day interval in Qinling Mountains (QLMs) of China. The results show that: (1) Temperature in QLMs has an increasing trend with 0.41 degrees C/10a, and precipitation decreases with 400 mm/a. Moreover, spring phenology in QLMs is advancing with 4 days/10a. (2) Temperature is found having dominant effect on spring phenology in QLMs, and photoperiod has a significant effect on spring phenology in grassland area. (3) Temperature's impact increases in cultivated land and grassland after March 25 but a consecutive decrease trend in forest, while photoperiod's explanatory ability on grassland spring phenology is highlighted in early January, early February and early April. Chilling has the best explanatory ability on crop spring phenology in early March and early May. Additionally, forcing can significantly influence spring phenology in early March for cultivated land and late May for forest. The results of this study are beneficial to understand the mechanism of plant-climate interaction. |
| WOS关键词 | VEGETATION GREEN-UP ; TEMPERATURE SENSITIVITY ; PLANT PHENOLOGY ; WINTER ; TREES ; EXTREME ; IMPACTS ; SHIFTS ; DATE ; CO2 |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000704554400003 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167030]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Yaping |
| 作者单位 | 1.Natl Earth Syst Sci Data Ctr, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A,Datun Rd, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Cong,Yang, Yaping,Yang, Fei,et al. Diagnose the dominant climate factors and periods of spring phenology in Qinling Mountains, China[J]. ECOLOGICAL INDICATORS,2021,131:12. |
| APA | Yin, Cong,Yang, Yaping,Yang, Fei,Chen, Xiaona,Xin, Ying,&Luo, Peixian.(2021).Diagnose the dominant climate factors and periods of spring phenology in Qinling Mountains, China.ECOLOGICAL INDICATORS,131,12. |
| MLA | Yin, Cong,et al."Diagnose the dominant climate factors and periods of spring phenology in Qinling Mountains, China".ECOLOGICAL INDICATORS 131(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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