Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China

被引:18
|
作者
Sun, Wenchao [1 ,2 ]
Song, Hao [1 ,2 ]
Yao, Xiaolei [1 ,2 ]
Ishidaira, Hiroshi [3 ]
Xu, Zongxue [1 ,2 ]
机构
[1] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
[2] JCGCS, Beijing, Peoples R China
[3] Univ Yamanashi, Interdisciplinary Grad Sch Med & Engn, Kofu, Yamanashi, Japan
来源
PLOS ONE | 2015年 / 10卷 / 08期
基金
中国国家自然科学基金;
关键词
RIVER-BASIN; CLIMATE-CHANGE; TIME-SERIES; NDVI; DYNAMICS; COVER; PATTERNS;
D O I
10.1371/journal.pone.0135376
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Heihe River Basin (HRB) is the second largest inland river basin in China, characterized by high diversity in geomorphology and irrigated agriculture in middle reaches. To improve the knowledge about the relationship between biotic and hydrological processes, this study used Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index (NDVI) data (1982-2006) to analyze spatiotemporal variations in vegetation growth by using the Mann-Kendall test together with Sen's slope estimator. The results indicate that 10.1% and 1.6% of basin area exhibit statistically significant (p < 0.05) upward and downward trends, and maximum magnitude is 0.066/10a and 0.026/10a, respectively. More specifically, an increasing trend was observed in the Qilian Mountains and Hexi Corridor and a decreasing trend detected in the transitional region between them. Increases in precipitation and temperature may be one possible reason for the changes of vegetation growth in the Qilian Mountains. And decreasing trend in transitional region may be driven by the changes in precipitation. Increases of irrigation contribute to the upward trend of NDVI for cropland in the Hexi Corridor, reflecting that agricultural development becomes more intensive. Our study demonstrates the complexity of the response of vegetation growth in the HRB to climate change and anthropogenic activities and correspondingly adopting mechanistic ecological models capable of describing both factors is favorable for reasonable predictions of future vegetation growth. It is also indicated that improving irrigation water use efficiency is one practical strategy to balance water demand between human and natural ecosystems in the HRB.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Detecting microrefugia in semi-arid landscapes from remotely sensed vegetation dynamics
    Andrew, Margaret E.
    Warrener, Haylea
    REMOTE SENSING OF ENVIRONMENT, 2017, 200 : 114 - 124
  • [22] Drought monitoring from the remotely sensed temperature and vegetation index in China
    Xin, JF
    Tian, GL
    Liu, QH
    Chen, LF
    Xin, XZ
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 389 - 391
  • [23] Hydrological indicators of desertification in the Heihe River Basin of arid northwest China
    Qi Shanzhong
    Luo Fang
    AMBIO, 2006, 35 (06) : 319 - 321
  • [24] Attribution of satellite-observed vegetation trends in a hyper-arid region of the Heihe River basin, Western China
    Wang, Y.
    Roderick, M. L.
    Shen, Y.
    Sun, F.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2014, 18 (09) : 3499 - 3509
  • [25] Hydrological Indicators of Desertification in the Heihe River Basin of Arid Northwest China
    Qi Shanzhong College of PopulationResources and EnvironmentShandong Normal University No Wenhua East Road Jinan Shandong ProvincePeoples Republic of ChinaLuo Fang College of Urban Development Jinan University No Jiwei Road Jinan Shandong ProvincePeoples Republic of China
    AMBIO-人类环境杂志, 2006, 35 (06) : 319 - 321
  • [26] Monitoring coal fires using remotely sensed data in coalfields of northwestern China
    Chen, YH
    Li, J
    Yang, B
    Du, PJ
    Mining Science and Technology, 2004, : 751 - 755
  • [27] Intensified pluvial conditions during the twentieth century in the inland Heihe River Basin in arid northwestern China over the past millennium
    Qin, Chun
    Yang, Bao
    Burchardt, Iris
    Hu, Xiaoli
    Kang, Xingcheng
    GLOBAL AND PLANETARY CHANGE, 2010, 72 (03) : 192 - 200
  • [28] Validation of remotely sensed evapotranspiration over the Hai River Basin, China
    Jia, Zhenzhen
    Liu, Shaomin
    Xu, Ziwei
    Chen, Yujie
    Zhu, Mingjia
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
  • [29] Land Cover Classification from Remotely Sensed Imagery Using Computational Intelligence with Application to the Heihe River Basin
    Wang Chunqing
    Zhang Yong
    Yang Jinfang
    PROCEEDINGS OF THE 4TH INTERNATIONAL YELLOW RIVER FORUM ON ECOLOGICAL CIVILIZATION AND RIVER ETHICS, VOL IV, 2010, : 199 - 207
  • [30] Investigating the impacts of the North Atlantic Oscillation on global vegetation changes by a remotely sensed vegetation index
    Li, Ainong
    Liang, Shunlin
    Wang, Angsheng
    Huang, Chengquan
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (22) : 7222 - 7239