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

机译:中国东部植被覆盖与降水的年际变化及其相关性

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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.
机译:根据357个气象台站的SPOT / VEGETATION归一化植被指数(NDVI)数据和日降水量数据,研究了用NDVI测得的植被覆盖物的时空变化,降水及其相互关系, 1998-2010年期间,该区域分为三个子区域(区域Ⅰ,Ⅱ和Ⅲ)。结果表明,高NDVI值主要出现在中国东北和8月,而高降水量(PRETOT)出现在中国东南和7月(中国南方为6月)。极端降水日(RD95p)和降水量(EPRETOT)与PRETOT非常吻合。极端降水强度(RINTEN)具有与PRETOT类似的空间变异性,但季节变化比PRETOT小。在研究区域的11.7%(主要在中国北方干旱至半湿润地区),生长季NDVI与PRETOT正相关,那里的降水是植被生长的限制因素。相比之下,在研究区域的4.8%中发现生长季NDVI与PRETOT之间呈负相关,主要在长江流域和中国东北深部地区。对于其他地区,这两个变量之间没有显着相关性,因为植被对降水的响应受其他因素(例如温度,辐射和人为干扰)的影响。在月尺度上,5月(Ⅱ区)和9月(Ⅰ区以外的所有子区域)的NDVI和PRETOT之间存在正相关。 NDVI变化在6月(Ⅰ区)和10月比PRETOT滞后1个月。 NDVI与RD95p,EPRETOT之间的相关性与PRETOT相似,但NDVI与RINTEN之间的关系相对较PRETOT弱。该研究为华东地区农业发展和生态建设提供了技术基础。

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  • 来源
    《Theoretical and applied climatology》 |2014年第2期|93-105|共13页
  • 作者单位

    Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, People's Republic of China;

    Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, People's Republic of China;

    Shandong Provincial Land Surveying and Planning Institute, Jinan 250014, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China;

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