Spatio-temporal Variation of NDVI and Its Response to Regional Climate in Gansu Province

doi:10.13466/j.cnki.lyzygl.2018.01.016

Abstract

Abstract:

Long time NDVI sequences can indicate the characteristics of vegetation cover on the surface and are widely used in the study of large scale surface vegetation cover changes.This study used MODIS-NDVI data sets in 2001 to 2015 to quantitatively study the spatio-temporal variations of vegetation cover in Gansu Province based on ENVI and ArcGIS spatial analysis techniques.According to the natural geographical region,Gansu Province was divided into three parts,which were combined with the temperature and precipitation data of the same period to study the response relationship between vegetation cover change and regional climate.The results showed that:(1) Vegetation coverage in Gansu Province increased by the rate of 0.004 1 per year from 2001 to 2015,indicating that the vegetation cover in Gansu Province has improved during the study period,while there are obvious spatial differences.(2) The annual precipitation in Gansu Province shows a decreasing trend,while the annual average temperature shows an upward trend.But the change rates of the both were relatively low,indicating that the trend of dry heating in Gansu Province had eased during the study period.(3) Vegetation cover is positively correlated with precipitation,negatively correlated with temperature,and the influence of precipitation on vegetation coverage is greater than the temperature at the regional scale.

Key words: NDVI, trend analysis, correlation analysis, regional climate, Gansu Province

CLC Number:

X171.1

WANG Nayun, JIANG Jianjun, CHEN Mengqi, BAI Shibiao. Spatio-temporal Variation of NDVI and Its Response to Regional Climate in Gansu Province[J]. FOREST RESOURCES WANAGEMENT, 2018, (1): 109-116.

Figures/Tables 7

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References 26

[1]	Salim H A, Chen X L, Gong J Y. Analysis of Sudan vegetation dynamics using NOAA-AVHRR NDVI data from 1982 to 1993[J]. Asian Journal of Earth Sciences, 2010(4):1-15.
[2]	郭铌. 植被指数及其研究进展[J]. 干旱气象, 2003,21(4):71-75.
[3]	张远东, 张笑鹤, 刘世荣. 西南地区不同植被类型归一化植被指数与气候因子的相关分析[J]. 应用生态学报, 2011,22(2):323-330.
[4]	甘春英, 王兮之, 李保生, 等. 连江流域近18年来植被覆盖度变化分析[J]. 地理科学, 2011,31(8):1019-1024.
[5]	孙红雨, 王常耀, 牛铮, 等. 中国植被覆盖变化及其与气候因子关系——基于NOAA时间序列数据[J]. 遥感学报, 1998,2(3):204-210.
[6]	韦振锋, 任志远, 张翀. 近12年广西植被覆盖与降水和气温的时空响应特征[J]. 水土保持研究, 2013,20(5):33-44.
[7]	王正兴, 刘闯 .Huete A R. 植被指数研究进展:从AVHRR NDVI 到MODIS-EVI[J]. 生态学报, 2003,23(5):980-987.
[8]	李震, 阎福礼, 范湘涛. 中国西北地区NDVI变化及其与温度和降水的关系[J]. 遥感学报, 2005,9(3):308-313.
[9]	Nemani R R, Keeling C D, Hashimoto H, et al. Climate-driven increases in global terrestrial net primary production from 1982 to 1999[J]. Science, 2003,300(5625):1560-1563. doi: 10.1126/science.1082750 pmid: 12791990
[10]	Myneni R B, Keeling C D, Tucker C J, et al. Increased plant growth in the northern high latitudes from 1981 to 1991[J]. Nature, 1997,386(6626):698-702.
[11]	Myneni R B, Tucker C J, Asar G, et al. Interannual variations in satellite-sensed vegetation index data from 1981 to 1991[J]. Geophys Res., 1998,103(6):6145-6160.
[12]	Zhou L, Tucker C J, Kaufmann R K. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981—1999[J]. Geophys Res., 2001,106(17):20069-20083.
[13]	毛德华, 王宗明, 韩佶兴, 等. 1982—2010年中国东北地区植被NPP时空格局及驱动因子分析[J]. 地理科学, 2012,32(9):1106-1111.
[14]	陆晴, 吴绍洪, 赵东升. 1982—2013年青藏高原高寒草地覆盖变化及与气候之间的关系[J]. 地理科学, 2017,37(2):292-300.
[15]	何勇, 董文杰, 郭晓寅, 等. 基于MODIS的中国陆地植被生长及其与气候的关系[J]. 生态学报, 2007,27(12):5086-5092.
[16]	付新峰, 杨胜天, 刘昌明. 雅鲁藏布江流域NDVI变化与主要气候因子的关系[J]. 地理研究, 2007,26(1):60-65.
[17]	韩贵锋. 中国东部地区植被覆盖的时空变化及其人为因素的影响研究[D]. 上海:华东师范大学, 2007.
[18]	李忠峰, 李雪梅, 蔡运龙. 基于SPOT VEGETATION数据的榆林地区土地覆盖变化研究[J]. 干旱区资源与环境, 2007,21(2):56-59.
[19]	胡春艳, 卫伟, 王晓峰, 等. 甘肃省植被覆盖变化及其对退耕还林工程的响应[J]. 生态与农村环境学报, 2016,32(4):588-594.
[20]	滑永春, 李增元, 高志海. 2001年以来甘肃民勤植被覆盖变化分析[J]. 干旱区研究, 2017,34(2):337-343.
[21]	潘耀忠, 李晓兵. 中国土地覆盖综合分类研究:基于NOAA/AVHRR和Holdridge PE[J]. 第四纪研究, 2000,20(3):270-281.
[22]	刘向培, 刘烈霜, 史小康, 等. 中国东北植被动态变化及其与气候因子的关系[J]. 大气科学学报, 2015,38(2):222-231.
[23]	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[J]. 湖泊科学, 2014,26(3):456-464.
[24]	崔丹丹, 张耀南, 陈广庭. 2001—2010年甘肃省植被覆盖的时空变化[J]. 中国沙漠, 2014,34(4):1161-1166.
[25]	Lotsch A, Friedl M A, Anderson B T, et al. Response of terrestrial ecosystems to recent Northern Hemispheric drought[J]. Geophysical Research Letters, 2005,32(6):347-354.
[26]	Zhang , Ke , Kimball , John S, et al. Satellite-based model detection of recent climate-driven changes in northern high-latitude vegetation productivity[J]. Journal of Geophysical Research:Biogeosciences, 2015,113(G3):1179-1183.

不同自然地理区域	相关系数		偏相关系数
不同自然地理区域	降水	气温	降水	气温
东部季风区	0.141^**	-0.168^**	0.247^**	-0.263^**
青藏高寒区	0.254^**	-1.38	0.274^**	0.147
西北干旱区	1.51^**	-1.54^**	0.019	-0.28