中国城市林业2025，Vol.23Issue(6)：1-8,8.DOI:10.12169/zgcsly.2025.12.02.0001
基于无人机多源遥感影像的城市森林冠层温度季节变化对地上生物量的影响
Impact of Seasonal Variation in Canopy Temperature on Above-ground Biomass in Urban Forests Based on UAV Multi-source Remote Sensing Imagery
摘要
Abstract
[Objective]The study analyzes the characteristics of spatial correlation between canopy temperature and above-ground biomass(AGB)in urban forests and reveals the impact of canopy temperature on AGB,aiming to provide scientific evidence for carbon sink evaluation and climate adaptability planning of urban forests.[Method]LiDAR,multispectral,and thermal infrared images are combined to estimate above-ground biomass along with field plot surveys,allometric growth models and random forest models.Ultimately,Random Forest Regression and Geographically Weighted Regression(GWR)models are employed to analyze the impact of canopy temperature variation on AGB and its spatial heterogeneity.[Result]1)The Gap Fraction Profile(GFP)emerged as the dominant predictor for AGB estimation,yielding a model accuracy of R2=0.89 and RMSE=2.96 kg·m-2.2)Canopy mean temperature exhibited a significant negative correlation with AGB(P<0.01).When Tmax exceeded 30℃,the rate of AGB decline accelerated.3)Temperature impacts demonstrated non-stationarity:positive effects in southern areas contrasted with negative effects in northern regions.The high-value zones of the Temperature-Dependent Ecosystem Intensity Index(TDEI)shifted seasonally.Spring showed predominantly positive responses,while summer transitioned to negative responses,closely linked to high-temperature stress inhibiting tree growth in summer.[Conclusion]Canopy mean annual temperature generally exhibits a negative correlation with above-ground biomass,while temperature sensitivity presents pronounced spatial heterogeneity.The TDEI demonstrates the characteristics of spatio-temporal migration from spring to summer.Therefore,in the summer hot-spot areas where canopy maximum temperature is higher than 30℃,species with high canopy density and heat tolerance should be prioritized,thereby mitigating the suppression of above-ground biomass by high-temperature stress.Future studies should further expand the sample range to cover different climate zones and prolong the observation time series,so as to make a deeper analysis of the dynamic"temperature stress-structure adaptation-above-ground accumulation"relationship and provide more scientific evidence for urban forest management.关键词
无人机机载激光雷达(UAV-LiDAR)/城市森林/冠层温度/地上生物量Key words
UAV-LiDAR/urban forest/canopy temperature/above-ground biomass引用本文复制引用
王涵宇,李若楠,翟雅琳,贾佳,王蕾..基于无人机多源遥感影像的城市森林冠层温度季节变化对地上生物量的影响[J].中国城市林业,2025,23(6):1-8,8.基金项目
国家自然科学基金面上项目(42171246) （42171246）
