IGSNRR OpenIR
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
2017
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume38Issue:11Pages:3236-3252
Corresponding AuthorDai, Junhu(daijh@igsnrr.ac.cn)
AbstractPlant 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.
KeywordPhenology growing season remote sensing climate change
DOI10.1080/01431161.2017.1292070
WOS KeywordGREEN-UP DATE ; CLIMATE-CHANGE ; SPRING PHENOLOGY ; AUTUMN PHENOLOGY ; PLANT PHENOLOGY ; GROWING-SEASON ; METAANALYSIS ; SENSITIVITY ; ECOSYSTEMS ; LENGTH
Indexed BySCI
Language英语
Funding ProjectNational Program on Key Basic Research Project of China[2012CB955304] ; National Natural Science Foundation of China[41427805] ; National Natural Science Foundation of China[41171043] ; National Natural Science Foundation of China[41601047] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA05090301]
Funding OrganizationNational Program on Key Basic Research Project of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000397995400003
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64680
Collection中国科学院地理科学与资源研究所
Corresponding AuthorDai, Junhu
Affiliation1.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
Recommended Citation
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]. INTERNATIONAL JOURNAL OF REMOTE SENSING,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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