globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6289965
论文题名:
基于NDVI的19822012年黄河流域多时间尺度植被覆盖变化
其他题名: Changing trends of NDVI in the Yellow River basin from 1982 to 2012 at different temporal scales
作者: 颜明; 贺莉; 王随继; 郑明国; 孙莉英; 许炯心
刊名: 中国水土保持科学
ISSN: 2096-2673
出版年: 2018
卷: 16, 期:3, 页码:77-82
语种: 中文
中文关键词: 黄河流域 ; 不同时间尺度
英文关键词: NDVI ; Mann-Kendall ; the Yellow River Basin ; NDVI ; different temporal scales ; Mann-Kendall
WOS学科分类: PLANT SCIENCES
WOS研究方向: Plant Sciences
中文摘要: 气候变化和人类活动引起黄河流域的植被覆盖发生了明显变化,需要从多时间尺度对这一变化的时空差异进行研究,目的是对比植被覆盖变化在不同时间尺度上的异同,确定某一时间尺度的趋势性变化是否具有代表性。基于GIMMS和MODIS 2种处理后的NDVI数据集,通过趋势性检验、相关分析和统计等方法,分析了黄河流域植被覆盖在不同时间尺度下的空间特征,以及不同时间尺度植被覆盖的趋势性变化,并探讨了不同时间尺度间植被覆盖趋势性变化的关系。结果表明:1)黄河流域NDVI的空间分布总体特征为西北小,东南大,从西北向东南逐渐增大。夏秋2季和冬秋2季的空间分布特征分别具有比较高的相似性。2) 19822012年,黄河流域NDVI在年际时间序列上具有增加趋势的区域所占比例较高,季节上仅冬春2季存在一部分区域表现出一定的增加趋势,而夏秋2季具有增加趋势的区域较少,3月和10月是具有增加趋势的区域高于其他月份;3)年尺度的趋势性表现是由多个月份贡献所致,而季节的变化主要是单个月份的影响,冬季呈现出增加性趋势主要来源于2月植被增加的贡献,而10月的植被增加趋势却未能使得秋季表现出明显的增加趋势。黄河流域植被覆盖的变化在不同的时间尺度上具有明显差异,NDVI年尺度的增加趋势并未完全体现在所有的季节里,而NDVI表现出增加趋势的月份也以冷暖转换的季节为主;因此,年尺度NDVI的趋势分析结果并不能完全代表别的时间尺度的趋势性,在分析黄河流域的NDVI年尺度趋势性变化时,不仅要说明年尺度的趋势性变化,还需要在季度和月尺度上作进一步的计算和验证。
英文摘要: [Background]Climate change and human activity lead to vegetation cover obviously changed in the Yellow River basin.Thus,it is necessary to study the temporal and spatial variation of vegetation change from multiple time scales.This paper aims to understand which one of trends with different time scales may represent the changing trend of vegetation in Yellow River basin.[Methods]Two processed datasets of NDVIs,GIMMS and MODIS in Huayuankou Hydrologic Station were used for this study,because the lower reaches of the Yellow River after Huayuankou has a small area and mainly are cultivated land,the data in Huayuankou Hydrologic Station should enough represent NDVI changes in the Yellow River basin.Firstly,linear fitting was applied to calibrate the spatial distributions of NDVI in the Yellow River basin at different temporal scales.Then,Mann-Kendall trend analyzing method was adopted to detect the trends of NDVI with different time scales.Finally,matrix was used to analyze the correlations of NDVI trends between different temporal scales.[Results] 1) The general spatial distribution characteristics of NDVI was low in the northwest and high in the southeast of the Yellow River basin,and NDVI increased gradually from northwest to southeast.The spatial distributions of NDVI in summer and autumn were similar,as well as the same in winter and spring.2) More than half area with increasing trend of NDVI was detected on yearly scale in the Yellow River basin from 1982 to 2012.As for seasonal scale,some areas had increasing trend of NDVI in winter and spring,while less area had increasing tread of NDVIs in summer and autumn.Area with increasing trend in March and October was more than in other months.3) The performance of annual trend was combination of multiple months,while the performance of seasonal trend was contributed by single month.Increasing trend of NDVI in winter was mainly contributed by increased vegetation cover in February,but increased vegetation cover in October failed to make an obviously increasing trend of NDVI in autumn.[Conclusions]The change of vegetation cover has obvious differentiation at different time scales in the Yellow River basin.The increasing trend of NDVI with yearly scale is not necessary available for all the seasons,and months with increasing trend of NDVI are mainly March and October.In total,the results of NDVI trend analysis in annual scale do not fully represent trends of other time scales.Not only the trend of yearly scale,but also the seasonal scale and monthly scale should be calculated and verified for analyzing the trend of NDVI with yearly scale.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/155401
Appears in Collections:气候变化事实与影响

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作者单位: 中国科学院地理科学与资源研究所, 中国科学院陆地水循环及地表过程重点实验室, 北京 100101, 中国

Recommended Citation:
颜明,贺莉,王随继,等. 基于NDVI的19822012年黄河流域多时间尺度植被覆盖变化[J]. 中国水土保持科学,2018-01-01,16(3):77-82
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