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引用本文:于泉洲,梁春玲,张祖陆.近40年来南四湖湿地NDVI变化特征及其控制因子分析.湖泊科学,2014,26(3):455-463. DOI:10.18307/2014.0317
YU Quanzhou,LIANG Chunling,ZHANG Zulu.NDVI changes and control factors of the wetland in the Lake Nansi, Shandong Province, in the past 40 years. J. Lake Sci.2014,26(3):455-463. DOI:10.18307/2014.0317
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近40年来南四湖湿地NDVI变化特征及其控制因子分析
于泉洲1,2, 梁春玲3, 张祖陆4,5
1.中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101;2.中国科学院大学, 北京 100049;3.商丘师范学院环境与规划学院, 商丘 476000;4.山东师范大学人口·5.资源与环境学院, 济南 250014
摘要:
利用Landsat系列卫星的MSS、TM和ETM+遥感数据,计算了研究区的归一化植被指数(NDVI),并以此为湿地植被活动的指标,研究1973 2011年间该湿地植被变化特征及年内季节变化特征,揭示植被活动在年内和年际变化的控制因子以及湿地植被对于气候变化、人类活动和极端干旱事件的响应特征.结果表明:(1)近40年来南四湖湿地植被各个季节的变化特征不尽相同.春季NDVI呈现先降低后增加的特征,主要先后受到研究区围垦、渔业养殖等人为活动和气候变化(增温)的影响;夏季和冬季的NDVI呈现显著降低趋势,主要受到围垦、渔业养殖等人类活动的影响;秋季NDVI的变化不显著.(2)年内季节变化方面,湿地植被面积和NDVI都呈现单峰的变化特征,从春季开始增加,在夏季末(全年的第202和205 d)达到最大值,然后开始下降,到冬季降至最低.植被的年内季节变化特征主要受到月均温度的控制.(3)干旱在一定程度上不是湖泊湿地NDVI增加的限制因子.干旱导致湖泊水位下降,滨湖滩地及湖底露出,可能会促进湿地植被生长和植被面积的扩大,使得湿地NDVI增加.
关键词:  NDVI  植被活动  气候变化  人类活动  湿地  南四湖
DOI:10.18307/2014.0317
分类号:
基金项目:教育部人文社会科学研究青年基金项目(12YJCZH120)资助
NDVI changes and control factors of the wetland in the Lake Nansi, Shandong Province, in the past 40 years
YU Quanzhou,LIANG Chunling,ZHANG Zulu
1.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;2.University of the Chinese Academy of Sciences, Beijing 100049, P. R. China;3.Department of Environment and Programming, Shangqiu Normal University, Shangqiu 476000, P. R. China;4.School of Population, Resources and Environment, Shandong Normal University, Jinan 250014, P. R. China
Abstract:
The normalized difference vegetation indexes (NDVI) of the wetland in Lake Nansi are calculated on the basis of MSS, TM and ETM + remote sensing data collected by the Landsat satellites. The activities of the wetland vegetations are deduced by these indexes. By studying the characteristics of seasonal vegetation activities of the wetland during 1973-2011, we revealed the control factors of intra-annual and inter-annual vegetation activities. Moreover, our study showed the response characteristics of wetland vegetation to climate changes, human activities and extreme drought events. The results can be summarized as follows:(1) The characteristics of the seasonal variation of wetland vegetation in Lake Nansi are not identical in the past 40 years. The NDVI in spring decreased first and then increased, which may be caused by the climate variation (temperature increase) and human activities such as reclamation and aquaculture in the study area; The NDVI in summer and winter present a significant decreasing trend due to the effects of human activities. However, the variation of the NDVI in autumn is comparatively small. (2) The NDVI and area of wetland vegetation all present single-peaked variation characteristics in term of seasonal variations in one year. They increase in spring and reach the maximum in late summer (the 202nd day and 205th day in the year), then decrease and reach the lowest values in winter. (3) To certain degree, drought is not the limiting factor for NDVI increase. In fact, since drought results in the drawdown of water level of the lake, the beach and lake bottom are exposed. All these factors probably increase the NDVI by prompting the growth of vegetation and enlarging vegetation area in the wetland.
Key words:  NDVI  vegetation activity  climate change  anthropic disturbance  wetland  Lake Nansi
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