The carbon storage calaulation and carbon sequestration potential analysis of the main artificial arboreal forest in China

WANG Dawei, SHEN Wenxing

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (5) : 11-19.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (5) : 11-19. DOI: 10.12302/j.issn.1000-2006.202109014

The carbon storage calaulation and carbon sequestration potential analysis of the main artificial arboreal forest in China

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Abstract

【Objective】Carbon from the forest plays a dominant role in contributing the development to terrestrial ecosystem. Therefore, the purpose of this study is to predict the carbon sink potential of artificial trees by determining their carbon density and value-added carbon storage potential. The results of the study can further improve the structure of the artificial main forest age groups, improve the sustainable management levels of the forest, provide scientific basis for increasing the artificial tree forest unit area, and achieve the goal of increasing the amount of foreign exchange in China.【Method】This study applied the data of area and volume of the dominate tree species in China. The data are all from the 8th (2009-2013) and the 9th (2014-2018) national forest inventory data of China. Moreover, adopted the IPCC volume-biomass method to calculate the carbon storage and carbon density of the six main artificial arboreal forest. Meanwhile, the changing patterns and age group structure characteristics of the carbon storage and density of artificial arboreal forests in China were also analyzed between the two inventories. The aim of this step was to comprehensively analyze and evaluate China's artificial forest under age structures of carbon sequestration function; furthermore, the fitted unit area accumulation-forest-age logistic regression growth equation was applied and the IPCC volume-biomass methods were combined to calculate the accumulation of different ages of each dominant tree species after decades. The purpose was to estimate the data of carbon storage and carbon density of China's existing artificial arboreal forest in future stages.【Result】During the two inventory periods, the total carbon storage of the main artificial forest increased by 498.81 Tg, with an average annual increase of 99.76 Tg. The carbon storage from the highest to the lowest forest age groups in China was in the following order: over-matured forests (439.19 Tg) > mature forests (426.43 Tg) > near-mature forests (359.75 Tg) > middle-aged forests (292.34 Tg) > young forests (105.15 Tg). Carbon density from the lowest to the highest age groups in China were in the following order: over-matured forests (59.17 Mg/hm2) < young forests (169.12 Mg/hm2) < mature forests (178.13 Mg/hm2) < near-mature forests (190.38 Mg/hm2) < middle age forests (348.09 Mg/hm2). With regard to the future carbon sequestration capacity of artificial forests in China, the analysis results predict that the carbon storage and density of artificial arboreal forests based on current data will increase to 1 716.27 Tg and 36.51 Mg/hm2, with an increase of 92.92% and 93.17%, respectively, compared with the values in 2015.【Conclusion】The carbon storage of the six main artificial forest increased significantly between the two inventories. Carbon storage shows a linear positive increase trend, while carbon density does not show a linear increase due to the effect of accumulation of the area and the volume. Moreover, by the year of 2035, the carbon storage of artificial forest will account for about 20% of the total carbon storage, of which the area of young-aged and middle-aged trees will account for 64.66% of the total area of trees in China, and it can be predicted that the carbon storage of main artificial arboreal forest will have great potential for increase.

Key words

artificial arboreal forest / carbon density / carbon storage / carbon sequestration potential / volume-biomass methods / Logistic growth curves

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WANG Dawei , SHEN Wenxing. The carbon storage calaulation and carbon sequestration potential analysis of the main artificial arboreal forest in China[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2022, 46(5): 11-19 https://doi.org/10.12302/j.issn.1000-2006.202109014

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