This study was conducted in Larix principis鄄rupprechtii forests, which located in Guandi Mountain, Shanxi Province, China. Two plots(32m伊32m) were placed. Plot A was disturbed stand while plot B undisturbed. Basic data of fine root biomass with various diameters were collected from three depths (0-10cm, 10-20cm and 20-30cm) of soil layers via root drilling methods. The fine roots were separated into live and dead fine root (臆2mm). The live fine roots were classified into three categories (臆1mm, 1-2mm, 2-5mm). The spatial heterogeneity of fine root biomass was analyzed based on theory and methodology of spatial pattern analysis in geostatistics. By comparing the fine root biomass at same soil depth in different stand, fine root biomass was higher in undisturbed stand (plot B) with great difference, which also has high spatial heterogeneity. After cutting disturbance, fine root biomass became lower with smaller difference and the spatial heterogeneity intensity of fine root biomass became weaker. In different soil layer, the heterogeneity of fine root biomass changed significantly (P<0. 05). Results showed: (1) At 0-10cm soil depth, fine root(臆1mm, 1-2mm, 2-5mm and 臆2mm dead root) biomass decreased respectively 8. 14% , 48. 29% , 47. 96% and 74. 21%. Most variation of fine root biomass was spatially explained in undisturbed stand. Spatial heterogeneity of fine root biomass performed clearly
Green belts along roads can purify the air and improve the air quality along the roads. The microclimate conditions around a road will affect the manner and speed of pollutant diffusion, and it may affect how effective the green belt is in removing pollutants from the air. In this study, the effects of microclimate conditions on the removal of pollutants by green belts along roads were monitored, and the results will provide a basis for improving the road environment by improving our understanding of the manner in which the air around roads is purified by green belts. Microclimate conditions (wind speed, air temperature, relative humidity in the air, surface temperature, and air pressure) and the concentrations of five major pollutants, SO 2 , NO x , NH 3 , total suspended particles (TSP) and respirable particulate matter (PM 10) , were observed along 18 roads with green belts in the city of Taiyuan. The meteorological elements correlated with each other along the Taiyuan roads in the summer. There were significant positive correlations between the wind speed and the surface
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