南京林业大学学报(自然科学版) ›› 2023, Vol. 47 ›› Issue (4): 185-190.doi: 10.12302/j.issn.1000-2006.202110023

• 研究论文 • 上一篇    下一篇

江西石城不同起源阔叶林碳储量驱动因子分析

沈浩1(), 姜姜1,*(), 周晨2, 潘庆全3   

  1. 1.南京林业大学,南方现代林业协同创新中心,江苏省水土保持与生态修复重点实验室,南京林业大学林学院,江苏 南京 210037
    2.江西省林业科学院,江西 南昌 330032
    3.石城县林业局,江西 赣州 341000
  • 收稿日期:2021-10-11 修回日期:2022-01-19 出版日期:2023-07-30 发布日期:2023-07-20
  • 通讯作者: * 姜姜(ecologyjiang@gmail.com),教授。
  • 作者简介:沈浩(jtymzz1015@gmail.com)。
  • 基金资助:
    国家自然科学基金项目(32071612);国家重点研发计划(2017YFC0505500);国家重点研发计划(2017YFC0505502)

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

摘要:

【目的】基于县域森林资源清查数据,估算不同起源阔叶林的碳储量,量化驱动因子对植被碳储量的贡献,并评价主要驱动因素的直接和间接影响,为森林资源的科学管理提供理论依据。【方法】根据江西省石城县2016年森林资源清查统计数据,采用生物量换算因子连续函数法,计算石城县阔叶林的碳储量,结合随机森林 (RF) 分析和结构方程模型(SEM),量化并评价驱动因子对植被碳储量的贡献及影响。【结果】随机森林模型和结构方程模型研究结果表明,研究区天然阔叶林植被碳储量变化主要由林龄决定,标准化总效应值为0.54,其次为郁闭度,效应值为0.36;人工阔叶林碳储量变化主要由郁闭度与林分密度决定,总效应值分别为0.49和0.19,林龄对人工阔叶林碳储量变化没有显著影响。【结论】郁闭度、林龄与林分密度是驱动亚热带阔叶林生态系统碳储量的重要因素,这为研究中亚热带森林生态系统碳循环和碳积累对气候变化的响应提供了新的见解,也为人工林林分管理和森林碳汇潜力评估提供了理论依据。

关键词: 阔叶林, 人工林, 碳储量, 驱动因子

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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