Journal of Geographical Sciences ›› 2019, Vol. 29 ›› Issue (9): 1548-1564.doi: 10.1007/s11442-019-1676-0

Previous Articles     Next Articles

Spatial associations between NDVI and environmental factors in the Heihe River Basin

YUAN Lihua1, CHEN Xiaoqiang1, WANG Xiangyu1, XIONG Zhe2, SONG Changqing1,3,4,*()   

  1. 1 Center for GeoData and Analysis, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    2 Key Laboratory of Climate-Environment for East Asia, Institute of Atmospheric Physics, CAS, Beijing 100029, China
    3 SState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    4 Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
  • Received:2018-10-23 Accepted:2019-01-22 Online:2019-09-25 Published:2019-12-11
  • Contact: SONG Changqing E-mail:songcq@bnu.edu.cn
  • About author:Yuan Lihua (1988–), specialized in geographical variations analysis and human geography research. E-mail: ylh20070901@ 163.com
  • Supported by:
    National Key R&D Program of China(No.2017YFA0604704)

Abstract:

The Heihe River Basin is located in the arid and semi-arid regions of Northwest China. Here, the terrestrial ecosystem is vulnerable, making it necessary to identify the factors that could affect the ecosystem. In this study, MODIS-NDVI data with a 250-m resolution were used as a proxy for the terrestrial ecosystem. By combining these with environmental factors, we were able to explore the spatial features of NDVI and identify the factors influencing the NDVI distribution in the Heihe River Basin during the period of 2000-2016. A geographical detector (Geodetector) was employed to examine the spatial heterogeneity of the NDVI and to explore the factors that could potentially influence the NDVI distribution. The results indicate that: (1) the NDVI in the Heihe River Basin appeared high in the southeast while being low in the north, showing spatial heterogeneity with a q-statistic of 0.38. The spatial trend of the vegetation in the three sub-basins generally increased in the growing seasons from 2000 to 2016; (2) The results obtained by the Geodetector (as denoted by the q-statistic as well as the degree of spatial association between the NDVI and environmental factors) showed spatial heterogeneity in the associations between the NDVI and the environmental factors for the overall basin as well as the sub-basins. Precipitation was the dominant factor for the overall basin. In the upper basin, elevation was found to be the dominant factor. The dominant factor in the middle basin was precipitation, closely followed by the soil type. In the lower basin, the dominant factor was soil type with a lower q-statistic of 0.13, and the dominant interaction between the elevation and soil type was nonlinearly enhanced (q-statistic = 0.22).

Key words: NDVI, environmental factors, vegetation, Geodetector, q-statistic, spatial heterogeneity, Heihe River Basin