Assessment of Carbon Sink Potential of Arbor Forests Based on DBH Growth Rate Model for Standing Trees
The growth of trees generates a huge carbon sink,which is of great significance in alleviating environmental problems such as global warming caused by carbon emissions.To accurately assess the carbon sink of forests,a model of the annual growth rate of tree diameter at breast height(DBH)in 4 forms for 13 main tree species(groups)in Beijing was established based on the data from the 6th to 9th National Forest Inventory.This model predicted the future trend of DBH changes,thereby provided a computational basis for calculating carbon storage using the continuous function method of biomass conversion factors.Ultimately,it estimated the carbon storage and carbon density of deciduous forests in Beijing by 2050.The results showed that:8 of the tree species(groups)had a DBH annual growth rate model R2 greater than 0.900,with the highest R2 of 0.960 for linden;except willow and Fraxinus mandshurica/Juglans mandshurica/Phellodendron amurense the RMSE of 11 tree species(groups)was less than 0.5 cm;except for poplars,other hard broad-leaved forests and elms,Bias was less than 1.0 cm.The overall R2 in the validation of DBH prediction accuracy was high,with the highest for black locusts(0.951)and the lowest for other hard broad-leaved forests(0.766).It was predicted the carbon stock of arbor forests in Beijing in 2050 was 42.71 TgC,and the carbon density is 43.35 MgC·hm-2.The study found that the tree growth simulation method based on the annual growth rate at breast height model could effectively improve the overall accuracy of future carbon sink potential assessment of tree forests in Beijing,which could provide a theoretical basis for formulating greenhouse gas reduction policies and achieving the 2060 carbon neutrality target.
National Forest Inventory dataDBH growth ratecarbon stockcarbon density
国家科技期刊平台
NSTL
万方数据
维普
