基于环境敏感的毛竹林碳密度估算

[Objective]Precise estimates of bamboo forest carbon density(FCD)help contribute to addressing climate change and achieving the vision of carbon neutrality.However,widespread distributions of bamboo forest,poor representativeness of research data,and differences of carbon estimation methods might have led to the uncertainties in the carbon sink result.[Method]Our study is based on moso bamboo biomass and carbon data from 532 sample plots in southern China,and developed the two-level nonlinear mixed-effects FCD model considering factors of soil,climate,and site as predictors and random components describing effects of regions and elevations on FCD.[Result]The model effectively explained the impact of environmental factors,especially soil and climate factors on FCD.Result showed that with increasing elevation,bamboo carbon content coefficient exhibited the sine curve.Among many predictor variables evaluated,quadratic mean diameter(QMD),base area(BA),canopy density(CD),mortality,bulk density(BD),rock fragments(RF),and de Martonne aridity index(M)had significant impact on FCD.Increasing QMD,BA,mortality,RF,temperature or reducing CD,BD,and precipitation within an appropriate range could be beneficial for the accumulation of moso bamboo FCD.[Conclusion]Our methods and results can be used as a reliable reference for similar researches on various geographic regions and environments in a large scale.