Interannual variability and correlation of vegetation cover and precipitation in Eastern China
Jiang, Dejuan1; Zhang, Hua1; Zhang, Yong2; Wang, Kun3,4
刊名THEORETICAL AND APPLIED CLIMATOLOGY
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
ISSN号0177-798X
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
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
中文摘要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.
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.
学科主题Meteorology & Atmospheric Sciences
研究领域[WOS]Meteorology & Atmospheric Sciences
关键词[WOS]NET PRIMARY PRODUCTION ; CLIMATE-CHANGE ; TIBETAN PLATEAU ; TIME-SERIES ; NDVI DATA ; DYNAMICS ; INDEX ; TEMPERATURE ; AVHRR ; EVAPOTRANSPIRATION
收录类别SCI
语种英语
WOS记录号WOS:000342439300009
内容类型期刊论文
源URL[http://ir.yic.ac.cn/handle/133337/8705]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_近岸生态与环境实验室
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.(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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