Arid
DOI10.1080/01431161.2017.1292070
Phenological response of different vegetation types to temperature and precipitation variations in northern China during 1982-2012
Tao, Zexing1,2; Wang, Huanjiong1; Liu, Yachen1,3; Xu, Yunjia1,2; Dai, Junhu1
通讯作者Dai, Junhu
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2017
卷号38期号:11页码:3236-3252
英文摘要

Plant phenology is influenced by various climatic factors such as temperature, precipitation, insolation, and humidity, etc. Among these factors, temperature and precipitation are proved to be the most important. However, the relative importance of these two factors is different among various phenophases and regions and is seldom discussed along environmental gradients. Based on normalized difference vegetation index (NDVI) data from the NDVI3g dataset and using the mid-point method, we extracted the start date of the growing season (SOG) and the end date of the growing season (EOG) in northern China during 1982-2012. To determine which climate factor was more influential on plant phenology, partial correlation analysis was applied to analyse the spatial difference between the response of SOG and EOG to temperature and precipitation. Finally, we calculated the temperature and precipitation sensitivities of the SOG and EOG. The results showed that: (1) SOG displayed an advancing trend in most regions, while EOG was delayed for all the vegetation types during 1982-2012. (2) SOG was mainly triggered by preseason temperature. The increase in temperature caused an overall advance in SOG. However, the relationship between SOG and precipitation varied among different vegetation types. Regarding EOG, precipitation had greater impacts than temperature in relatively arid environments, such as deserts, steppes and meadow biomes. (3) The response of vegetation phenology (both SOG and EOG) to temperature became stronger with increasing preseason precipitation across space. The response of EOG to precipitation became weaker from arid regions to relatively humid regions. These results provide a better understanding of the spatial pattern of the phenological response along the precipitation gradient and a reference for assessing impacts of future climate change on vegetation phenology, especially in transitional and fragile zones.


英文关键词Phenology growing season remote sensing climate change
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000397995400003
WOS关键词GREEN-UP DATE ; CLIMATE-CHANGE ; SPRING PHENOLOGY ; PLANT PHENOLOGY ; GROWING-SEASON ; SENSITIVITY ; ECOSYSTEMS ; LENGTH ; SHIFTS ; ONSET
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院地理科学与资源研究所 ; 北京师范大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/199806
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China;
2.Univ Chinese Acad Sci, Beijing, Peoples R China;
3.Beijing Normal Univ, Sch Geog, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Tao, Zexing,Wang, Huanjiong,Liu, Yachen,et al. Phenological response of different vegetation types to temperature and precipitation variations in northern China during 1982-2012[J]. 中国科学院地理科学与资源研究所, 北京师范大学,2017,38(11):3236-3252.
APA Tao, Zexing,Wang, Huanjiong,Liu, Yachen,Xu, Yunjia,&Dai, Junhu.(2017).Phenological response of different vegetation types to temperature and precipitation variations in northern China during 1982-2012.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(11),3236-3252.
MLA Tao, Zexing,et al."Phenological response of different vegetation types to temperature and precipitation variations in northern China during 1982-2012".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.11(2017):3236-3252.
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