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林业科学 ›› 2026, Vol. 62 ›› Issue (7): 61-73.doi: 10.11707/j.1001-7488.LYKX20250213

• 研究论文 • 上一篇    下一篇

基于二类调查数据的经营单位尺度森林碳汇量预估方法

董灵波,梅雪松,刘兆刚*()   

  1. 森林生态系统可持续经营教育部重点实验室 东北林业大学林学院 哈尔滨 150040
  • 收稿日期:2025-04-09 出版日期:2026-07-10 发布日期:2026-07-16
  • 通讯作者: 刘兆刚 E-mail:lzg19700602@163.com
  • 基金资助:
    “十四五”国家重点研发计划项目(2022YFD2200502)

Estimaton Method on Forest Carbon Sequestration Based on Forest Resources Survey Data at Management Unit Scale

Lingbo Dong,Xuesong Mei,Zhaogang Liu*()   

  1. Key Laboratory of Sustainable Forest Ecosystem Management of Ministry of Education College of Forestry, Northeast Forestry University Harbin 150040
  • Received:2025-04-09 Online:2026-07-10 Published:2026-07-16
  • Contact: Zhaogang Liu E-mail:lzg19700602@163.com

摘要:

目的: 针对以往研究中忽略立地条件和当前林分特征等因素对森林碳汇量估算不确定性影响的问题,借鉴森林资源资产价值评估理论,提出一种简单且有效的经营单位尺度森林碳汇量预估新方法,为多功能经营视角下经营单位内各种抚育间伐措施的合理配置提供科学依据与决策支撑。方法: 基于帽儿山实验林场2022年二类调查数据,采用连乘方式构造以小班尺度立地指数、平均胸径和株数密度为基础的林分状态综合调整系数(K),并结合不同林分类型生长过程表以及不同组分生物量扩展因子和含碳率等数据,对经营单位尺度的森林碳汇潜力进行预估。结果: 1) 研究区内林分平均胸径调整系数($ {k}_{1} $)、株数密度调整系数($ {k}_{2} $)、立地指数调整系数($ {k}_{3} $)和总调整系数(K)的平均值分别为1.34±0.52、0.90±0.45、0.91±0.45和0.89±0.48;林分类型对各调整系数K均有显著影响(P<0.01),其中天然针叶混交林最大(1.40),人工樟子松林最小(0.51)。2) 调整后林分单位面积蓄积量预估值与实际调查值之间的确定系数比调整前平均增加1.23倍(从0.284增至0.634),其中人工杨树林增幅最大(10.11倍),天然杨桦林增幅最小(83%)。3) 模拟期内(2022—2050年),区域内乔木林平均碳汇量为0.38 t·hm?2 a?1,且随着年龄增加而逐渐减少,其中天然针叶混交林、天然针阔混交林和人工落叶松林的固碳速率相对较高(>1.00 t·hm?2 a?1),天然软硬阔林和人工红松林则相对较低(<0.30 t·hm?2 a?1)。结论: 本研究提出的林分状态综合调整系数结合二类调查数据和林分生长过程表等的方法,可实现对经营单位尺度森林碳汇量的定量预估。

关键词: 碳汇潜力, 二类调查, 经营单位, 林分生长过程表, 调整系数

Abstract:

Objective: To quantify the potential uncertainty of carbon sequestration estimation caused by the neglect of important factors such as site quantity and stand characteristics in previous studies, the present study proposes a simple and effective method for estimating carbon sequestration potential at the management unit scale that is inspired from the theory of forest resource valuation, aiming to provide some insights on the temporal-spatial configuration of various forest management prescription at the management unit scale under the multifunctional forest management concept. Method: Based on the forest resource survey data of Mao’ershan Experimental Forest Farm in 2022, an adjustment coefficient (K) for stand comprehensive condition was constructed based on the site quality, mean diameter at breast height (DBH) and stand density at the sub-compartment scale using a continuous multiplication strategy. The carbon sequestration potential at the management unit scale was accurately estimated by combining the proposed index K with stand growth process tables for various forest types, as well as the datasets of biomass expansion factors and carbon content of different organs for each forest type. Result: 1) The mean DBH adjustment coefficient ($ {k}_{1} $), stand density ($ {k}_{2} $), site quality adjustment coefficient ($ {k}_{3} $) and total adjustment coefficient (K) in the study area were 1.34±0.52, 0.90±0.45, 0.91±0.45 and 0.89±0.48, respectively. Meanwhile, forest types had significant impacts on the adjustment coefficients (P<0.01), with natural coniferous mixed forests having the greatest K values (1.40), and Pinus koraiensis plantation having the smallest (0.51). 2) The determination coefficient between the estimated unit area volume of the adjusted forest stands and the actual survey values significantly increased by 1.23 times on average (from 0.284 to 0.634) compared with that between the estimated unit area volume of the non-adjusted forest stands and the actual survey values, among which Populus davidiana plantation had the largest increase (10.11 times), while the natural P. davidiana-B. platyphylla forest had the smallest increase (83%). 3) During 2022—2050, the average carbon sequestration of arbor forests in the region was 0.38 t·hm?2a?1, and gradually decreased with forest age. Among them, the carbon sequestration rates of natural mixed coniferous forest, natural mixed coniferous-broadleaved forest and L. olgensis plantation were relatively high (>1.00 t·hm?2a?1), and those of natural soft-hard broadleaf forest and Pinus koraiensis plantation were relatively lower (< 0.30 t·hm?2a?1). Conclusion: The adjustment coefficient for stand comprehensive condition proposed in this paper, namely combining the proposed adjustment coefficient, forest resource planning data and the stand growth process tables together, can accurately estimate the carbon sequestration potential at the management unit scale.

Key words: carbon sequestration potential, forest resources survey data, management unit, stand growth process table, adjustment coefficient

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