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首页> 外文期刊>Journal of Sustainable Forestry >Optimal forest rotation periods: integrating timber production and carbon sequestration benefits in Pinus tabulaeformis plantations on the Loess Plateau, P.R. China
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Optimal forest rotation periods: integrating timber production and carbon sequestration benefits in Pinus tabulaeformis plantations on the Loess Plateau, P.R. China

机译:最佳森林轮换期:在黄土高原P.R.中国的Pinus Tabulaeformis种植园中整合木材生产和碳封存效益

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摘要

Determining the optimal rotation period was a crucial component of forest sustainable management strategies, especially under climate change. This paper had two objectives: (1) to determine the economic benefits and optimal rotation periods for timberproduction when coupled to carbon sequestration, as predicted by time series prediction models for Pinus tabulaeformis plantations in China; and (2) to evaluate how different carbon prices and interest rates affected optimal rotation periods using the forest land expectation value. The results suggested that time series prediction models were valuable for estimating timber volumes and carbon sequestrations based on surveys of different-aged stands. Importantly, since integrating carbon sequestrations into timber production benefits did not increase optimal rotation periods, this should promote P. tabulaeformis plantation management. In the sensitivity analysis, a higher carbon price increased the profitability of carbon sequestration and timber production, but not optimal rotation periods, though they were reduced under higher interest rates. In conclusion, incorporating both timber production and carbon sequestration benefits would sharply increase forest-based revenues, while realizing the carbon sequestration potential of P. tabulaeformis plantations. This approach was clearly useful to the development of reforestation/afforestation projects trying to mitigate climate change and also provided a theoretical basis for sustainable forest management.
机译:确定最佳旋转期是森林可持续管理策略的关键组成部分,特别是在气候变化下。本文有两个目的:(1)在耦合到碳封存时确定木材生产的经济益处和最佳旋转期,如中国的时间序列预测模型的时间序列预测模型; (2)评估使用林地预期价值的不同碳价格和利率如何影响最佳旋转期。结果表明,时间序列预测模型对于估计木材体积和基于不同老年人的调查的碳螯合有价值。重要的是,由于将碳螯合融合到木材生产效益中没有增加最佳旋转期,因此这应该促进P. TabulaeFormis种植园管理。在敏感性分析中,碳价格较高提高了碳封存和木材生产的盈利能力,但虽然它们在较高的利率下减少了它们的旋转期。总之,纳入木材生产和碳封存效益将大幅提高基于林的收入,同时实现了P. Tabulaeformis种植园的碳封存潜力。这种方法显然有助于制定旨在减轻气候变化的重新造林/造林项目,并为可持续森林管理提供了理论依据。

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