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Vegetation carbon sequestration in Chinese forests from 2010 to 2050

机译:2010—2050年中国森林植被固碳量

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Forests store a large part of the terrestrial vegetation carbon (C) and have high C sequestration potential. Here, we developed a new forest C sequestration (FCS) model based on the secondary succession theory, to estimate vegetation C sequestration capacity in China's forest vegetation. The model used the field measurement data of 3161 forest plots and three future climate scenarios. The results showed that logistic equations provided a good fit for vegetation biomass with forest age in natural and planted forests. The FCS model has been verified with forest biomass data, and model uncertainty is discussed. The increment of vegetation C storage in China's forest vegetation from 2010 to 2050 was estimated as 13.92 Pg C, while the average vegetation C sequestration rate was 0.34 Pg C yr(-1) with a 95 confidence interval of 0.28-0.42 Pg C yr (-1), which differed significantly between forest types. The largest contributor to the increment was deciduous broadleaf forest (37.8), while the smallest was deciduous needleleaf forest (2.7). The vegetation C sequestration rate might reach its maximum around 2020, although vegetation C storage increases continually. It is estimated that vegetation C sequestration might offset 6-8 of China's future emissions. Furthermore, there was a significant negative relationship between vegetation C sequestration rate and C emission rate in different provinces of China, suggesting that developed provinces might need to compensate for undeveloped provinces through C trade. Our findings will provide valuable guidelines to policymakers for designing afforestation strategies and forest C trade in China.
机译:森林储存了大部分陆地植被碳(C),并具有很高的碳封存潜力。在此基础上,我们建立了一种新的基于次生演替理论的森林碳封存(FCS)模型,以估计中国森林植被的植被碳封存能力。该模型使用了3161个森林样地和三种未来气候情景的实地测量数据。结果表明,Logistic方程对天然林和人工林的植被生物量与林龄进行了较好的拟合。利用森林生物量数据验证了FCS模型,并讨论了模型的不确定性。2010—2050年中国森林植被植被储量增量估计为13.92 Pg C,平均植被碳封存率为0.34 Pg C yr(-1),95%置信区间为0.28-0.42 Pg C yr(-1),间森林类型间差异显著。增幅最大的是落叶阔叶林(37.8%),最小的是落叶针叶林(2.7%)。尽管植被碳储存量持续增加,但植被碳封存率可能在2020年左右达到最大值。据估计,植被碳封存可能抵消中国未来排放量的6-8%。此外,中国不同省份的植被碳封存率与碳排放率之间存在显著的负相关关系,表明发达省份可能需要通过碳贸易来补偿未开发省份。研究结果将为政策制定者制定中国植树造林战略和森林碳贸易提供有价值的指导。

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