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林业科学 ›› 2026, Vol. 62 ›› Issue (5): 16-26.doi: 10.11707/j.1001-7488.LYKX20250732

• 前沿热点 • 上一篇    下一篇

江西分宜杉木人工林生物量与死亡有机质碳库动态耦合对轮伐期和林地期望价值的影响

刘林1,孙洪刚2,*()   

  1. 1. 中国计量大学经济学院 杭州 310018
    2. 中国林业科学研究院亚热带林业研究所 杭州 311400
  • 收稿日期:2025-12-09 修回日期:2026-02-02 出版日期:2026-05-10 发布日期:2026-05-12
  • 通讯作者: 孙洪刚 E-mail:honggangsun@caf.ac.cn
  • 基金资助:
    国家重点研发计划项目(2024YFD2201202)。

Effects of Dynamic Coupling Between Biomass and Dead Organic Matter Carbon Pools on Rotation Period and Forest Land Expectation Value of Cunninghamia lanceolata Plantations in Fenyi, Jiangxi Province

Lin Liu1,Honggang Sun2,*()   

  1. 1. School of Economics, China Jiliang University Hangzhou 310018
    2. Institute of Subtropical Forestry Research, Chinese Academy of Forestry Hangzhou 311400
  • Received:2025-12-09 Revised:2026-02-02 Online:2026-05-10 Published:2026-05-12
  • Contact: Honggang Sun E-mail:honggangsun@caf.ac.cn

摘要:

目的: 以江西省分宜市杉木人工试验林为研究对象,构建融合生物量碳库与死亡有机质碳库的林地期望价值(LEV)模型, 明确碳库耦合机制对杉木人工林最优轮伐期和林地期望价值的调控效应及关键参数的影响程度,为杉木人工林木材与碳汇协同经营提供量化支撑。方法: 基于江西省分宜市杉木人工林40年连续定位观测数据,以经典Faustmann模型为框架,融入生物量碳库与死亡有机质碳库的动态耦合过程,构建LEV模型。设置基准无碳汇收益、无养分正反馈(生物量碳库与死亡有机质碳库相互独立)和静态碳汇(有碳汇收益、无养分正反馈)以及动态耦合(有碳汇收益、有养分正反馈,即两碳库存在动态耦合关系)3 种情景,模拟不同情景下的碳库动态特征和LEV,并针对碳价(Pc)、养分反馈系数(λ)、死亡有机质分解速率(α)3个核心参数开展敏感性分析,量化关键参数对最优轮伐期和LEV的影响。结果: 1) 3种情景的最优轮伐期均为21年,但动态耦合情景的LEV最高(62 555 元·hm?2),较基准情景提升169元·hm?2,较静态碳汇情景提升21元·hm?2。收益增量源于总碳库提升带来的直接碳汇收益以及养分正反馈促进生物量生长、提升大径材比例所增加的木材收益。2) 动态耦合情景下,养分在两碳库间的正反馈循环显著提升碳库累积效率,21年生杉木人工林生物量碳库、死亡有机质碳库和总碳库较静态情景分别提升8.3%、7.8%和8.2%。碳库累积呈现明显的阶段特征:幼林期两碳库间的养分循环对碳库累积的影响较弱,速生期差异快速扩大,近熟期动态情景碳库仍保持稳定增长,长期固碳能力明显优于静态情景。3) 敏感性分析表明,在现实参数区间内,关键参数对最优轮伐期的确定无影响,但对LEV的作用明确:LEV随λ增加而明显增加,但Pc对LEV的正向影响以及α对LEV的负向影响均很小,影响幅度在0.05%以内。结论: 在以木材生产为主导的现有经营模式下,即使考虑生物量与死亡有机质碳库的动态耦合效应,杉木人工林的最优轮伐期(21年)仍保持不变;两碳库的动态耦合,即养分正反馈循环能够补偿碳汇收益因贴现造成的价值损失,从而同步提升碳汇与木材收益;优化杉木人工林林下经营、提供合理碳价补贴,是发挥森林碳库作用进而提升人工林经营效益的有效途径;该模型对南方杉木产区生态梯度差异具有较强适用性,可为杉木人工林木材与碳汇协同经营提供量化技术支撑。

关键词: 杉木人工林, 林地期望价值, 最优轮伐期, 碳库动态耦合, 养分反馈

Abstract:

Objective: Cunninghamia lanceolata (Chinese fir) plantations in Fenyi City, Jiangxi Province were targeted. A land expectation value (LEV) model integrating the dynamic coupling between biomass and dead organic matter carbon pools was constructed to clarify the regulatory effect of the carbon pool coupling mechanism on the optimal rotation period and land expectation value of Chinese fir plantations, as well as the effects of key parameters, so as to provide quantitative support for the synergistic management of timber production and carbon sequestration in Chinese fir plantations. Method: Based on 40-year continuous positioning observation data from Chinese fir plantations in Fenyi City, Jiangxi Province, the classic Faustmann model was used as the framework to incorporate the dynamic coupling process of biomass and dead organic matter carbon pools, and set three scenarios: baseline (no carbon sequestration revenue, no nutrient-driven positive feedback, with biomass and dead organic matter carbon pools independent of each other), static carbon sequestration (with carbon sequestration revenue but no nutrient-driven positive feedback), and dynamic coupling (with carbon sequestration revenue and nutrient-driven positive feedback, with two carbon pools dynamically coupled). The dynamic characteristics of carbon pools and LEV under different scenarios were simulated. Furthermore, sensitivity analysis was conducted on three core parameters, carbon price (Pc), nutrient feedback coefficient (λ), and dead organic matter decomposition rate (α), to quantify the influence of key parameters on the optimal rotation period and LEV. Result: 1) The optimal rotation period for all three scenarios was 21 years, but the LEV in the dynamic coupling scenario was the highest (62 555 yuan·hm?2), which was 169 yuan·hm?2 higher than that in the baseline scenario and 21 yuan·hm?2 higher than that in the static carbon sequestration scenario. The revenue increment came from two aspects: firstly, the direct carbon sequestration revenue brought by the increase in total carbon pool storage; secondly, the timber revenue increment driven by nutrient-driven positive feedback that promoted biomass growth and increased the proportion of large-diameter timber. 2) In the dynamic coupling scenario, the nutrient-driven positive feedback loop between the two carbon pools significantly improved the carbon pool accumulation efficiency. At age 21, the biomass carbon pool, dead organic matter carbon pool, and total carbon pool of Chinese fir plantations increased by 8.3%, 7.8%, and 8.2%, respectively, compared with the static scenario. Carbon pool accumulation showed obvious stage characteristics: nutrient cycling and synergistic accumulation between carbon pools were weak during the young forest stage, the difference expanded rapidly in the fast-growing stage, and the carbon pool in the dynamic scenario maintained steady growth in the near-mature stage, with long-term carbon sequestration capacity significantly superior to that in the static scenario. 3) Sensitivity analysis showed that within the range of realistic parameters, key parameters had no impact on the determination of the optimal rotation period, but their effects on LEV were clear: LEV increased significantly with the rise of λ, while the positive impact of Pc on LEV and the negative impact of α on LEV were both very small, with the magnitude of the impact was within 0.05%. Conclusion: Under the current timber-dominated management mode, the dynamic coupling effect between biomass and dead organic matter carbon pools does not change the widely adopted 21-year optimal rotation period of Chinese fir plantations. The dynamic coupling of the two carbon pools offset the discount loss of carbon sequestration through nutrient-driven positive feedback, realizing the coordinated improvement of carbon sequestration and timber revenue. Optimizing understory management of Chinese fir plantations and providing reasonable carbon price subsidies are effective approaches to activate the carbon pool coupling effect and thereby improve plantation management efficiency. This model exhibits strong adaptability to the ecological gradient differences in southern Chinese fir production areas and can provide quantitative technical support for the synergistic management of timber production and carbon sequestration in Chinese fir plantations.

Key words: Cunninghamia lanceolata plantations, land expectation value, optimal rotation period, dynamic coupling of carbon pools, nutrient feedback

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