A functional zoning-based study of the spatiotemporal evolutionary characteristics and influencing factors of vegetation fractional cover in the Beijing-Tianjin-Hebei region
Based on 1985-2020 Landsat data,this study estimated eight phases of annual vegetation fractional cover(VFC)of the Beijing-Tianjin-Hebei region.Using the Theil-Sen Median and Mann-Kendall trend analyses,this study comprehensively analyzed the spatiotemporal variation characteristics of VFC in four major functional areas for the coordinated development of the Beijing-Tianjin-Hebei region.Furthermore,employing geodetectors,this study explored the degrees and mechanisms of the impacts of climatic,natural,and anthropogenic factors,along with their interactions,on the regional VFC from both static and dynamic perspectives.The results indicate that from 1985 to 2020,the Beijing-Tianjin-Hebei region exhibited sound vegetation coverage overall,which decreased in the order of the southern functional expansion area(SFEA),the northwestern ecological conservation area(NECA),the central core functional area(CCFA),the eastern coastal development area(ECDA).The VFC of the Beijing-Tianjin-Hebei region trended upward while fluctuating,with an increasing rate of 0.097％/10a.The VFC exhibited a spatial distribution pattern of high values in the west and low values in the east.Specifically,areas with elevated VFC were primarily distributed in the Yanshan,Damaqun,and Taihang mountains within the NECA,while those with reduced VFC were principally found in the built-up areas and their surrounding areas of cities and counties in the CCFA,ECDA,and SFEA.At the single-factor level,the primary and secondary factors controlling VFC across the four functional areas differed greatly,with land-use and soil types exhibiting higher interpretability.Regarding the influencing elements,the main factors driving spatial differentiation of VFC in the CCFA and SFEA included anthropogenic factors,those in ECDA comprised anthropogenic and natural factors,and those in NECA were dominated by climatic and natural factors.For the VFC of the four functional areas in all these years,the land use type manifested high interpretability,which trended upward overall.The q values of soil types were higher in ECDA and NECA,trending downward in the NECA.Secondary factors controlling the VFC exhibited different interannual interpretability in various functional areas.All influencing factors exhibited enhanced influence to varying extents,with no mutual independence or weakened influence observed.Additionally,the meteorological factor emerged as the primary interacting variable.
vegetation fractional coverspatiotemporal variationinfluencing factorgeodetectorfunctional regions
万方数据
维普
