摘要
为研究青海省归一化植被指数(NDVI,Normalized Difference Vegetation Index)时空变化特征及其对气候因子的响应,基于2001—2017年MOD13A3植被指数产品和气温、降水数据,利用趋势线分析模型和相关系数法分析青海省17 a间NDVI、气温和降水的分布特征及这三者之间的相关性和滞后性。研究结果表明:2001—2017年,青海省平均植被覆盖呈现震荡上升的趋势,青海省的植被覆盖情况整体呈现东高西低、南高北低的分布规律;青海省年平均降水整体呈现下降趋势,空间上呈现南多北少,中部地区少的分布特征;青海省年平均气温整体呈现波动趋势,海西和海东气温较高,其余地区气温较低,玉树藏族自治州气温呈现上升趋势;植被生长对气候要素的变化具有一定的滞后性,青海省的NDVI受前0-1月降水影响最大,相关系数为0.9284,青海省的NDVI受前0—1月份气温影响最大,相关系数为0.9166。
In order to study the spatiotemporal change characteristics of NDVI in Qinghai Province and its response to climate factors,based on MOD13A3 vegetation index products,temperature and precipitation data from^2001 to 2017 in Qinghai Province,the trend line analysis model and correlation coefficient method were used to analyze the distribution characteristics of NDVI,air temperature and precipitation,as well as the correlation and lag between NDVI and air temperature and precipitation.The results showed that:the average vegetation coverage in Qinghai Province showed an upward trend from^2001 to 2017,and the overall vegetation coverage in Qinghai Province showed a distribution pattern of high in the east and low in the west,and high in the south and low in the north.The average annual precipitation in Qinghai Province showed a downward trend overall,spatially showing more distribution in the south and less in the north and central region.The average annual temperature in Qinghai Province fluctuated as a whole.The temperature in Haixi and Haidong was relatively high,while the temperature in other areas was relatively low,and the temperature in Yushu showed an upward trend.Vegetation growth had a certain time-lag on the change of climate factors,NDVI in Qinghai Province was most affected by last 0-1 month precipitation with the correlation coefficient of 0.9284,NDVI in Qinghai Province was most affected by last 0-1 month temperature with the correlation coefficient of 0.9166.
作者
陈文静
杨从从
CHEN Wenjing;YANG Congcong(College of Engineering and Technology,Northeast Forestry University,Harbin 150040,China;Shandong Qufu Meteorological Bureau,Qufu 273100,China)
出处
《森林工程》
2020年第5期54-61,共8页
Forest Engineering
基金
济宁市气象局气象科学技术研究项目(2019JNZL04)。
