Investigating the Potential of Urban Forest Structural Diversity in Predicting Understorey Surface Temperature
Urban forest canopy has the ability to regulate the microclimate of urban forests,but existing studies have yet clarified the impact of canopy structure on the temperature beneath the canopy and its potential in prediction.This study,based on Unmanned Aerial Vehicle-Light Detection and Ranging(UAV-LiDAR),extracts indices of urban forest canopy structural diversity at the Harbin Forestry Demonstration Base and investigates the impact of individual structural diversity characteristics on the surface temperature beneath the canopy,as well as the potential of a multifactorial combination of structural diversity in temperature prediction.The results show that:1)Eight characteristic factors of urban forest structural diversity are significantly correlated with the temperature beneath the canopy(P<0.05).These characteristics include Deep Gap(DG),Deep Gap Fraction(DGF),Cover Fraction(CF),and Gap Fraction Profile(GFP),which characterize the coverage/openness of structural diversity,while Canopy Height Standard Deviation(Hstd),Maximum Canopy Height(Hmax),and the 95th Percentile Height(ZQ95)represent height characteristics,and the Vertical Complexity Index(VCI)represents the feature of heterogeneity;2)The coverage/openness of urban forest canopy structural diversity shows a stronger response to the surface temperature beneath the canopy(R2 values range from 0.15 to 0.5),which is higher than the response of height indicators(R2 values range from 0.14 to 0.19)and heterogeneity indicators(R2 = 0.14);and 3)A multifactorial predictive model2,which combines height indicators,coverage/openness indicators,and heterogeneity indicators(R2=0.61,RMSE=0.51,MSE=0.26,AIC = 62.74),demonstrates superior predictive performance for the surface temperature beneath the canopy.This study clarifies the potential of multifactorial variables and their characteristic combinations relevant to urban forest structural diversity in predicting the surface temperature beneath the canopy,providing a scientific reference for the research on urban forest canopies regulating the microclimate.
unmanned aerial vehicle-light detection and ranging(UAV-LiDAR)urban forestcanopy structure diversityunderstory surface temperatureprediction model
NETL
NSTL
万方数据
