Interannual variability and correlation of vegetation cover and precipitation in Eastern China

doi:10.1007/s00704-013-1054-2

	Interannual variability and correlation of vegetation cover and precipitation in Eastern China
	Jiang, Dejuan1 ; Zhang, Hua1 ; Zhang, Yong2 ; Wang, Kun 3,4; Jiang, DJ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China. djjiang@yic.ac.cn
发表期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
	2014-10-01
卷号	118 期号:1-2 页码:93-105
关键词	Net Primary Production Climate-change Tibetan Plateau Time-series Ndvi Data Dynamics Index Temperature Avhrr Evapotranspiration
DOI	10.1007/s00704-013-1054-2
产权排序	[Jiang, Dejuan; Zhang, Hua] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China; [Zhang, Yong] Shandong Prov Land Surveying & Planning Inst, Jinan 250014, Peoples R China; [Wang, Kun] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Wang, Kun] Beijing Normal Univ, Beijing 100101, Peoples R China
作者部门	中科院海岸带环境过程与生态修复重点实验室
英文摘要	Based on the SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) data and daily precipitation data of 357 meteorological stations, the spatial and temporal variability of vegetation cover, measured by NDVI, and precipitation as well as their relationships are investigated in Eastern China, which is portioned into three subregions (regions I, II, and III), for the period 1998-2010. The results show that high NDVI values appear mainly in Northeastern China and in August while high precipitation (PRETOT) occurs in Southeastern China and in July (June for Southern China). Extreme precipitation days (RD95p) and amount (EPRETOT) coincide well with PRETOT. Extreme precipitation intensity (RINTEN) has a similar spatial variability to PRETOT but with a smaller seasonal variation than PRETOT. Growing season NDVI is positively correlated with PRETOT in 11.7 % of the study area (mostly in arid to subhumid regions of Northern China), where precipitation is a limiting factor for vegetation growth. In contrast, a negative correlation between growing season NDVI and PRETOT is found in 4.8 % of the study area, mostly in areas around the Yangtze River and deep Northeastern China. No significant correlations between these two variables are found for the other regions because vegetation response to precipitation is affected by other factors such as temperature, radiation, and human disturbance. On a monthly scale, there is a positive correlation between NDVI and PRETOT in May (for region II) and September (all subregions except region I). NDVI variations lag 1 month behind PRETOT in June (for region I) and October. Correlations between NDVI and RD95p, EPRETOT are similar to that with PRETOT, but the relationships between NDVI and RINTEN are relatively weaker than with PRETOT. This study provides the technical basis for agriculture development and ecological construction in Eastern China.; Based on the SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) data and daily precipitation data of 357 meteorological stations, the spatial and temporal variability of vegetation cover, measured by NDVI, and precipitation as well as their relationships are investigated in Eastern China, which is portioned into three subregions (regions I, II, and III), for the period 1998-2010. The results show that high NDVI values appear mainly in Northeastern China and in August while high precipitation (PRETOT) occurs in Southeastern China and in July (June for Southern China). Extreme precipitation days (RD95p) and amount (EPRETOT) coincide well with PRETOT. Extreme precipitation intensity (RINTEN) has a similar spatial variability to PRETOT but with a smaller seasonal variation than PRETOT. Growing season NDVI is positively correlated with PRETOT in 11.7 % of the study area (mostly in arid to subhumid regions of Northern China), where precipitation is a limiting factor for vegetation growth. In contrast, a negative correlation between growing season NDVI and PRETOT is found in 4.8 % of the study area, mostly in areas around the Yangtze River and deep Northeastern China. No significant correlations between these two variables are found for the other regions because vegetation response to precipitation is affected by other factors such as temperature, radiation, and human disturbance. On a monthly scale, there is a positive correlation between NDVI and PRETOT in May (for region II) and September (all subregions except region I). NDVI variations lag 1 month behind PRETOT in June (for region I) and October. Correlations between NDVI and RD95p, EPRETOT are similar to that with PRETOT, but the relationships between NDVI and RINTEN are relatively weaker than with PRETOT. This study provides the technical basis for agriculture development and ecological construction in Eastern China.
文章类型	Article
资助机构	Meteorology & Atmospheric Sciences
收录类别	SCI
语种	英语
关键词[WOS]	NET PRIMARY PRODUCTION ; CLIMATE-CHANGE ; TIBETAN PLATEAU ; TIME-SERIES ; NDVI DATA ; DYNAMICS ; INDEX ; TEMPERATURE ; AVHRR ; EVAPOTRANSPIRATION
研究领域[WOS]	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000342439300009
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/8705
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
通讯作者	Jiang, DJ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China. djjiang@yic.ac.cn
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China 2.Shandong Prov Land Surveying & Planning Inst, Jinan 250014, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 4.Beijing Normal Univ, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Dejuan,Zhang, Hua,Zhang, Yong,et al. Interannual variability and correlation of vegetation cover and precipitation in Eastern China[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2014,118(1-2):93-105.
APA	Jiang, Dejuan,Zhang, Hua,Zhang, Yong,Wang, Kun,&Jiang, DJ .(2014).Interannual variability and correlation of vegetation cover and precipitation in Eastern China.THEORETICAL AND APPLIED CLIMATOLOGY,118(1-2),93-105.
MLA	Jiang, Dejuan,et al."Interannual variability and correlation of vegetation cover and precipitation in Eastern China".THEORETICAL AND APPLIED CLIMATOLOGY 118.1-2(2014):93-105.

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