Changing trends of NDVI in the Yellow River basin from 1982 to 2012 at different temporal scales
YAN Ming, HE Li, WANG Suiji, ZHENG Mingguo, SUN Liying, XU Jiongxin
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
Abstract：[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.
颜明, 贺莉, 王随继, 郑明国, 孙莉英, 许炯心. 基于NDVI的1982-2012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, 16(3): 86-94.
YAN Ming, HE Li, WANG Suiji, ZHENG Mingguo, SUN Liying, XU Jiongxin. Changing trends of NDVI in the Yellow River basin from 1982 to 2012 at different temporal scales. SSWC, 2018, 16(3): 86-94.
CRAMER W P, LEEMANS R. Assessing impacts of climate change on vegetation using climate classification systems[M]//SOLOMON A M,SHUGART H H. Vegetation Dynamics and Global Change. London:Chapman and Hall, 1993:190.
[2]
MYNENI R B, KEELING C D, TUCKER C J, et al. Increased plant growth in the northern high latitudes from 1981 to 1999[J]. Nature, 1997, 386(6626):698.
[3]
MYNENI R B, TUCKER C J, ASAR G, et al. Interannual variations in satellite-sensed vegetation index data from 1981 to 1991[J]. Journal of Geophysical Research Atmospheres, 1998, 103(D16):6145.
[4]
ZHOU L, TUCKER C J, KAUFMANN R K, et al. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981-1999[J]. Journal of Geophysical Research Atmospheres, 2002, 106(17):20069.
[5]
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.
[6]
方精云, 朴世龙, 贺金生, 等. 近20年来中国植被活动在增强[J]. 中国科学(C辑:生命科学), 2003, 33(6):554. FANG Jingyun, PIAO Shilong, HE Jinsheng, et al. Activity of vegetation in China has been augmented in recent 20 years[J]. Science in China Series C:Biological Sciences, 2003, 33(6):161.
[7]
陈效逑, 喻蓉. 1982-1999年我国东部暖温带植被生长季节的时空变化[J]. 地理学报, 2007, 62(1):41. CHEN Xiaoqiu, YU Rong. Spatial and temporal variations of the vegetation growing season in warm-temperate eastern china during 1982 to 1999[J]. Acta Geographica Sinica, 62(1):41.
[8]
ZHANG Yili, GAO Jungang, LIU Linshan, et al. NDVI-based vegetation changes and their responses to climate change from 1982 to 2011:A case study in the Koshi River Basin in the middle Himalayas[J]. Global and Planetary Change, 2013, 108:139.
[9]
刘志红, 郭伟玲, 杨勤科, 等. 近20年黄土高原不同地貌类型区植被覆盖变化及原因分析[J]. 中国水土保持科学, 2011, 9(1):16. LIU Zhihong, GUO Weiling, YANG Qinke, et al. Vegetation cover changes and their relationship with rainfall in different physiognomy type areas of Loess Plateau[J]. Science of Soil and Water Conservation, 2011, 9(1):16.
[10]
钟莉娜, 赵文武. 基于NDVI的黄土高原植被覆盖变化特征分析[J]. 中国水土保持科学, 2013, 11(5):57. ZHONG Lina, ZHAO Wenwu. Detecting the dynamic changes of vegetation coverage in the Loess Plateau of China using NDVI data[J]. Science of Soil and Water Conservation, 2013,11(5):57.
[11]
何远梅, 姚文俊, 张岩, 等. 黄土高原区植被恢复的空间差异性分析[J]. 中国水土保持科学, 2015, 13(2):63. HE Yuanmei, YAO Wenjun, ZHANG Yan, et al. Spatial variability of vegetation restoration on the Loess Plateau based on MODIS/NDVI[J]. Science of Soil and Water Conservation,2015, 13(2):63.
[12]
信忠保, 许炯心, 郑伟. 气候变化和人类活动对黄土高原植被覆盖变化的影响[J]. 中国科学(D辑:地球科学), 2007, 37(11):1504. XIN Zhongbao, XU Jiongxin, ZHENG Wei. Impact of climate change and human activities in vegetation cover change on the Loess Plateau[J]. Science in China Series D:Earth Sciences, 2007, 37(11):1504.
[13]
CUO Lan, ZHANG Yongxin, GAO Yanhong, et al. The impacts of climate change and land cover/use transition on the hydrology in the upper Yellow River Basin, China[J]. Journal of Hydrology, 2013, 502:37.
[14]
CAI Ximing, ROSEGRANT M W. Optional water development strategies for the Yellow River Basin:Balancing agricultural and ecological water demands[J]. Water Resources Research, 2004, 40(8):1.
PINZON J. Using HHT to successfully uncouple seasonal and interannual components in remotely sensed data[C]//SCI 2002 Conference Proceedings, 2002:14.
[17]
TUCKER C J, PINZON J E, BROWN M E, et al. An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data[J]. International Journal of Remote Sensing, 2005, 26(20):4485.
[18]
NESTLER M S, PFISTER R. The NASA earth observing system data gateway[C]//AGU Fall Meeting Abstracts, 2002.
[19]
HUETE A, DIDAN K, MIURA T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote Sensing of Environment, 83(1 and 2), 2002:195.
[20]
MANN H B. Nonparametric tests against trend[J]. Econometrica, 1945, 13:245.
[21]
KENDALL M G. Rank correlation methods[M]. 2nd edition:Oxford, England:Hafner Publishing Co., 1955:85.
2018, Vol. 16 
