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<p>Forest carbon sequestration has gained global attention as an effective nature-based strategy for mitigating climate change, with optimal harvest rotation decisions directly affecting carbon storage outcomes. This meta-regression synthesizes 59 primary studies to assess the impact of economic, ecological, and methodological factors on forest rotation ages. Using weighted least squares (WLS), fixed-effects, and random-effects models, we find that the fixed-effects model offers the most robust estimates. Results reveal that higher carbon prices consistently extend rotation periods, while higher discount rates reduce them. Assumptions like stochastic timber pricing, one-time carbon payments, and carbon-release penalties generally prolong rotations, whereas product decay and thinning shorten them. Insignificant variables, such as bioenergy use, monitoring costs, and ecosystem services, may reflect limited study coverage or context-specific effects. These findings underscore the importance of flexible modeling assumptions and context-sensitive policy designs, suggesting that future research should investigate harvesting rotations under bioenergy and carbon monitoring cost&#xa0;considerations.</p>

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Carbon Sequestration and Forest Rotation Age: A Meta-Regression

  • 期刊论文

  • 发表日期：

    2025年9月8日

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  • Zhuo Ning,
  • Van Chen,
  • Changyou Sun

摘要

Forest carbon sequestration has gained global attention as an effective nature-based strategy for mitigating climate change, with optimal harvest rotation decisions directly affecting carbon storage outcomes. This meta-regression synthesizes 59 primary studies to assess the impact of economic, ecological, and methodological factors on forest rotation ages. Using weighted least squares (WLS), fixed-effects, and random-effects models, we find that the fixed-effects model offers the most robust estimates. Results reveal that higher carbon prices consistently extend rotation periods, while higher discount rates reduce them. Assumptions like stochastic timber pricing, one-time carbon payments, and carbon-release penalties generally prolong rotations, whereas product decay and thinning shorten them. Insignificant variables, such as bioenergy use, monitoring costs, and ecosystem services, may reflect limited study coverage or context-specific effects. These findings underscore the importance of flexible modeling assumptions and context-sensitive policy designs, suggesting that future research should investigate harvesting rotations under bioenergy and carbon monitoring cost considerations.