ISWC OpenIR  > 水保所知识产出(1956---)
张含玉1,2; 方怒放1,2,3; 史志华1,4
Source Publication生态学报

为研究黄土高原地区退耕还林( 草) 后,植被覆盖变化及其对水热条件的响应,利用1999—2013 年SPOT VGT NDVI 1km/
10d 分辨率数据,采用最大合成法、一元线性回归法和偏相关分析法,系统分析了黄土高原地区NDVI( 归一化植被指数) 的时空
分布及变化趋势,及其与气候因子的关系。结果表明: 黄土高原1999—2013 年年最大NDVI 的平均值为0.31,NDVI 较高的区域
位于黄土高原南部,而西北部植被覆盖度较低; 自1999 年开始,黄土高原地区NDVI 呈极显著( P<0.01) 增加趋势,年最大NDVI
的变化斜率为0.0099; 不同季节( 春、夏、秋、冬) 和生长季的植被状况均呈现良性发展趋势; 1998—2013 年间,黄土高原地区气
候呈现不显著的“冷湿化”特征; NDVI 年际( 及生长季和季节) 变化与降雨和温度的相关性不显著,而在月时间尺度上,呈显著
的相关性,并且月NDVI 与当月降雨量的相关性要强于与当月温度的相关性; 植被生长对温度的响应存在一个月的滞后期,而

Other Abstract

The Chinese Loess Plateau is one of the best-known areas in the world. It is located in the middle reaches of the
Yellow River basin,and experiences the heaviest soil erosion in the world. In 1999,the Chinese government initiated the
Grain-for-Green Program ( GGP) for ecological restoration and soil erosion control. The main objective of the GGP was to
rehabilitate forests and grasslands in an effort to control soil erosion. The project suggested converting all croplands with
slopes of greater than 15° to grassland or forest. By the end of 2003,79000 km2 of cropland had been returned to forest or
grassland. Thus,it is necessary to assess the trend in land cover change following the implementation of the GGP in the
Loess Plateau. The objectives of this study were 1) to investigate the spatio-temporal patterns of vegetation cover in Loess
Plateau based on the 1999—2013,1 km/10 d resolution SPOT VEGETATION Normalized Difference Vegetation Index( NDVI) data and 2) to investigate their responses to climatic factors. The NDVI data were provided by the Flemish Institute
for Technological Research ( VITO) . The datasets can be downloaded from http: / /cdc. cma. gov. cn. The climatic factors
were precipitation and temperature in this study. The precipitation and temperature data were downloaded from the China
Meteorological Data Sharing Service System ( http: / /www. escience. gov. cn /metdata /page /index. html) . The maximum -
value composites,linear regression method,and partial correlation analysis were used to investigate the spatial distribution
and changes in the NDVI and the relationships between the NDVI and precipitation and temperature in the Loess Plateau.
The results showed that the average NDVI value for the Loess Plateau was 0.31 from 1999 to 2013. The higher NDVI values
were mainly distributed in the southeast part of the Loess Plateau. In contrast,the northwest part of the Loess Plateau had
lower NDVIs. The NDVI increased significantly from 1999 to 2013 ( P < 0.01) ,and the slope of the trend line for NDVI
was 0.0099. This indicated that the implementation of GGP improved vegetation coverage in the Loess Plateau and the
vegetation construction achievements were quite noticeable. The seasonal NDVIs ( spring,summer,autumn,and winter)
and the growing season NDVI also showed significantly increased. Summer has the fastest NDVI growth rate ( 0.0087) ,
followed by autumn ( 0.0081) ,spring ( 0.0064) ,and winter ( 0.0018) . The growing season NDVI had the same growth rate
as summer. From 1998 to 2013,precipitation and temperature in the Loess Plateau increased and decreased,respectively,
but neither change was significant. The partial correlation analysis showed that NDVI correlated significantly with
temperature and precipitation at the monthly scale. However,no significant correlations were noted between annual ( or
growing season and seasonal ) NDVI and annual ( or growing season and seasonal ) temperature and precipitation.
Temperature change had a lagging effect on vegetation growth,but precipitation change did not.

Keyword黄土高原 归一化植被指数 时空特征 植被变化 气候变化
Indexed By中文核心期刊要目总览
Document Type期刊论文
First Author Affilication中国科学院水利部水土保持研究所
Recommended Citation
GB/T 7714
张含玉,方怒放,史志华. 黄土高原植被覆盖时空变化及其对气候因子的响应[J]. 生态学报,2016,36(13):3960-3968.
APA 张含玉,方怒放,&史志华.(2016).黄土高原植被覆盖时空变化及其对气候因子的响应.生态学报,36(13),3960-3968.
MLA 张含玉,et al."黄土高原植被覆盖时空变化及其对气候因子的响应".生态学报 36.13(2016):3960-3968.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[张含玉]'s Articles
[方怒放]'s Articles
[史志华]'s Articles
Baidu academic
Similar articles in Baidu academic
[张含玉]'s Articles
[方怒放]'s Articles
[史志华]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[张含玉]'s Articles
[方怒放]'s Articles
[史志华]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.