Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau
文献类型：期刊论文
| 作者 | Diao, Chan2,3,4,5; Liu, Yu2,6; Zhao, Liang7,8; Zhuo, Ga1; Zhang, Yongqing5 |
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 65页码:10 |
| 关键词 | Vegetation dynamics Climatic change Cumulative effect Time-lag effect |
| ISSN号 | 1574-9541 |
| DOI | 10.1016/j.ecoinf.2021.101413 |
| 通讯作者 | Liu, Yu(liuyu@igsnrr.ac.cn) |
| 英文摘要 | Response and feedback of vegetation growth to climate change are a series biogeophysical processes from local to regional scales. Revealing the vegetation-climate interaction is fundamental to understand the evolution of earth surface system in the context of global climate change. Due to the low temperature and vulnerable biotic and abiotic settings, the alpine ecosystems are sensitive to climate change, peculiarly in the Qinghai-Tibet Plateau (QTP). By combining the climate factors (precipitation and temperature) and vegetation state indicated by the Enhanced Vegetation Index (EVI) data we try to reveal the pertinent temporal reaction mode of vegetation to climate change on the QTP. The vegetation-climate interactions were investigated by using the Granger causality test technique. The prime findings of this study are: (1) vegetation showed a strong sensitivity to warmingwetting climate in most arid and semi-arid areas of the QTP; (2) the reaction patterns of EVI to precipitation show a temporal lag of 0-1 months, which was strongest to the cumulative precipitation within 1-2 months; (3) The time lag effect and cumulative effect of temperature on vegetation both occurred within 1 to 2 months; (4) The unidirectional Granger causes of precipitation and temperature to vegetation accounted for 17.65% and 8.66% of the entire QTP, respectively. This study emphasizes a sensitive response of the vegetation to climate change (precipitation and temperature) in the QTP. Vegetation feedback makes the fluctuations and effects of climate more complicated. The results indicated that more insights into the future forecasting of climate change and vegetation dynamics can be acquired by a specific and comprehensive analysis of vegetation-climate coupled feedback. |
| WOS关键词 | GROWING-SEASON ; SOIL-MOISTURE ; GREEN-UP ; CHINA ; TERRESTRIAL ; PRECIPITATION ; FEEDBACKS ; WATER ; NDVI ; IMPACT |
| 资助项目 | International Partnership Program of the Chinese Academy of Sciences[121311KYSB20170004] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000703703200008 |
| 出版者 | ELSEVIER |
| 资助机构 | International Partnership Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165974]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Yu |
| 作者单位 | 1.Tibet Inst Plateau Atmospher & Environm Sci, Lasa 850100, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 3.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China 4.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resources Ecol, Beijing 100875, Peoples R China 5.Shanxi Normal Univ, Coll Geog Sci, Linfen 041000, Shanxi, Peoples R China 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 7.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 8.Beijing Normal Univ, Fac Geog Sci, Beijing Engn Res Ctr Global Land Remote Sensing P, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Diao, Chan,Liu, Yu,Zhao, Liang,et al. Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau[J]. ECOLOGICAL INFORMATICS,2021,65:10. |
| APA | Diao, Chan,Liu, Yu,Zhao, Liang,Zhuo, Ga,&Zhang, Yongqing.(2021).Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau.ECOLOGICAL INFORMATICS,65,10. |
| MLA | Diao, Chan,et al."Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau".ECOLOGICAL INFORMATICS 65(2021):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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