GEOGRAPHICALLY WEIGHTED REGRESSION
; DRIVING FORCES
; CLIMATE-CHANGE
; COVER CHANGE
; TERM TRENDS
; NDVI DATA
; DYNAMICS
; CHINA
; URBANIZATION
; BIODIVERSITY
WOS学科分类:
Remote Sensing
WOS研究方向:
Remote Sensing
英文摘要:
Identifying the natural and anthropogenic mechanisms of vegetation changes is the basis for adapting to climate change and optimizing human activities. The Beijing-Tianjin-Hebei megacity region, which is characterized by significant geomorphic gradients, was chosen as the case study area. The ordinary least squares (OLS) method was used to calculate the NDVI trends and related factors from 2000 to 2015. A geographic weighted regression (GWR) model of NDVI trends was constructed using 14 elements of seven categories. Combined with the GWR calculation results, the mechanisms of the effects of explanatory variables on NDVI changes were analyzed. The findings suggest that the overall vegetation displayed an increasing trend from 2000 to 2015, with an NDVI increase of ca. 0.005/year. Additionally, the NDVI fluctuations in individual years were closely related to precipitation and temperature anomalies. The spatial pattern of the NDVI change was highly consistent with the gradients of geomorphology, climate, and human activities, which have a tendency to gradually change from northwest to southeast. The dominant climate-driven area accounted for only 5.98% of the total study area. The vegetation improvement areas were regionally concentrated and had various driving factors, and vegetation degradation exhibited strong spatial heterogeneity. The vegetation degradation was mainly caused by human activities. Natural vegetation was improved because of natural factors and reductions in human activities. Moreover, cropland vegetation as well as urban and built-up area improvements were related to increased human actions and decreased natural effects. This study can assist in ecological restoration planning and ecological engineering implementation in the study area.
1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Sichuan, Peoples R China 3.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
Recommended Citation:
Zhao, Yinbing,Sun, Ranhao,Ni, Zhongyun. Identification of Natural and Anthropogenic Drivers of Vegetation Change in the Beijing-Tianjin-Hebei Megacity Region[J]. REMOTE SENSING,2019-01-01,11(10)