JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (4): 185-190.doi: 10.12302/j.issn.1000-2006.202110023

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Research on factors driving carbon storage in broad-leaved forests of different origins from Shicheng, Jiangxi Province

SHEN Hao1(), JIANG Jiang1,*(), ZHOU Chen2, PAN Qingquan3   

  1. 1. Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Soil and Water Conservation and Ecological Restoration of Jiangsu Province, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
    2. JiangxiAcademy of Forestry, Nanchang 330032, China
    3. Shicheng County Forestry Bureau, Ganzhou 341000, China
  • Received:2021-10-11 Revised:2022-01-19 Online:2023-07-30 Published:2023-07-20

Abstract:

【Objective】Based on the forest resources inventory of Shicheng County, Jiangxi Province, the carbon stored in broad-leaved forests of different origins was estimated to quantify the contribution of driving factors to vegetation carbon storage, then evaluate the direct and indirect effects of such factors, providing a theoretical basis for the scientific management of forest resources.【Method】The biomass of the broad-leaved forest in Shicheng County was calculated based on statistical data from the 2016 forest resource inventory for Shicheng County, Jiangxi Province. Carbon stocks were calculated using the biomass conversion factor continuous function method, and random forest (RF) analysis and structural equation modeling (SEM) were combined to quantify and evaluate the contribution and impact of different drivers on the vegetation carbon stock.【Result】 The results of the random forest and structural equation models indicate that changes in the natural broad-leaved forest vegetation carbon storage are mainly determined by forest age, with a standardized total effect value of 0.54, followed by canopy closure at 0.36. No significant changes were observed in the amount of carbon stored in the forests, which is determined by canopy closure and stand density with total effect values of 0.49 and 0.19, respectively.【Conclusion】Canopy density, forest age and stand density are the main factors driving the carbon storage of subtropical broad-leaved forest ecosystems, providing new insights for understanding the carbon cycle and carbon accumulation in mid-subtropical forest ecosystems in response to climate change. The results of this study provide a theoretical basis for the managements of planted forests and assessment of the carbon sink potential of such forests.

Key words: broad-leaved forest, plantation, carbon storage, driving factor

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