黑河流域NDVI与环境因子的空间关联性（英文）

编号 zgly0001675830

文献类型 期刊论文

文献题名 黑河流域NDVI与环境因子的空间关联性（英文）

作者 袁丽华  陈小强  王翔宇  熊喆  宋长青 

作者单位 CenterforGeoDataandAnalysis  FacultyofGeographicalScience  BeijingNormalUniversity  KeyLaboratoryofClimate-EnvironmentforEastAsia  InstituteofAtmosphericPhysics  CAS  StateKeyLaboratoryofEarthSurfaceProcessesandResourceEcology 

母体文献 Journal of Geographical Sciences 

年卷期 2019年09期

年份 2019 

分类号 Q948  X17 

关键词 NDVI  environmentalfactors  vegetation  Geodetector  q-statistic  spatialheterogeneity  HeiheRiverBasin 

文摘内容 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).