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崔立志, 郭敬丽, 巩建新, 李大勇, 李孝辉. 河北省木兰围场国有林场植被碳汇计量方法初探[J]. 浙江林业科技, 2024, 44(1): 80-86. DOI: 10.3969/j.issn.1001-3776.2024.01.011
引用本文: 崔立志, 郭敬丽, 巩建新, 李大勇, 李孝辉. 河北省木兰围场国有林场植被碳汇计量方法初探[J]. 浙江林业科技, 2024, 44(1): 80-86. DOI: 10.3969/j.issn.1001-3776.2024.01.011
CUI Lizhi, GUO Jingli, GONG Jianxin, LI Dayong, LI Xiaohui. Preliminary Study on Forest Carbon Sink Estimation Method in Mulan Forest Farm[J]. Journal of Zhejiang Forestry Science and Technology, 2024, 44(1): 80-86. DOI: 10.3969/j.issn.1001-3776.2024.01.011
Citation: CUI Lizhi, GUO Jingli, GONG Jianxin, LI Dayong, LI Xiaohui. Preliminary Study on Forest Carbon Sink Estimation Method in Mulan Forest Farm[J]. Journal of Zhejiang Forestry Science and Technology, 2024, 44(1): 80-86. DOI: 10.3969/j.issn.1001-3776.2024.01.011

河北省木兰围场国有林场植被碳汇计量方法初探

Preliminary Study on Forest Carbon Sink Estimation Method in Mulan Forest Farm

  • 摘要: 2022 年7—8 月,在河北省木兰围场国有林场(以下简称木兰林场))筛选出以白桦Betula platyphylla、落 叶松Larix gmelinii、油松Pinus tabuliformis 和蒙古栎Quercus mongolica 为优势树种的样地开展森林碳汇计量活动, 在该场二类连清数据的基础上建立30 个微样地,通过对这些微样地进行调查和统计,初步探讨森林碳汇量的计算 方法、调查方法、监测因素等。结果表明,2022 年,木兰林场的森林蓄积量为833.93×104 m3,生物量为733.21 ×104 t,碳储量为377.10×104 t,碳汇量为60.33×104 t,年均碳汇量为12.07×104 t·a-1;白桦、落叶松、油松和蒙 古栎4 个优势树种在不同龄组的蓄积量存在较大差异,其单位面积的生物量在不同龄组和树种之间存在一定的差 异;单位面积年均碳汇量,油松是其他树种的数倍之多,其次是蒙古栎,落叶松居第三位,表明落叶松、蒙古栎 和油松在固碳和碳汇方面具有较高的潜力。本文提出的县域陆表植被碳汇计测方法初步解决了传统植被调查中耗 时耗力的问题,实现了“国家—省域—县域—乡镇—村街—地块”逐级区划的低成本高效率计测。

     

    Abstract: In July and August 2022, 30 sample plots were established in Mulanweichang State-owned Forest Farm in Hebei province dominated by Betula platyphylla, Larix gmelinii, Pinus tabuliformis and Quercus mongolica, based on the forest management survey. Investigations were carried out on increment of DBH, growing stock, etc. of sample trees, and forest carbon sink were estimated. The results showed that in 2022, the forest growing stock in the Farm was 833.93×104 m3, biomass was 733.21×104 t, carbon stock was 377.10×104 t, and the carbon sink was 60.33×104 t, with an average annual carbon sink of 12.07×104t·a-1. The four dominant tree species in different age groups had large differences in forest growing stock, and their unit area biomass had differences among different age groups and tree species. The unit area average annual carbon sink was ordered by P. tabuliformis, followed by Qu. mongolica, and L. gmelinii, which indicated that they had high potentials of sequestering and sinking carbon.

     

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