广东省公益林示范区森林碳汇计量
Forest Carbon Sink Measurement in the Demonstration Area of Public Welfare Forest in Guangdong Province
梁泽锐 1张耕 1莫玉娟 1卓桂珠 1赵志明 1李大锋1
作者信息
- 1. 广东省森林培育与保护利用重点实验室/广东省林业科学研究院,广东 广州 510520
- 折叠
摘要
为了解广东省公益林碳汇功能,文章以2021-2023 年广东省建设的25 个公益林示范区为研究对象,基于森林资源二类调查数据对示范区的碳汇能力进行计量,分析不同地区、森林龄组、森林类型碳储量和碳密度的差异性.结果表明,广东省 25 个公益林示范区的碳储量为 269.69×104 t,大多集中在粤北地区,以中龄林和阔叶混交林为主,其占比分别为 42.6%和 70.1%;平均碳密度为 53.23 t·hm-2,近熟林和过熟林的碳密度最高,阔叶混交林的碳密度是荔枝Litchi chinensis(龙眼Dimocarpus longan)的105.8 倍.中幼龄林约占25 个公益林示范区森林面积的64.66%,随着公益林示范区继续推动重点林业生态工程造林,全面提升森林经营管理水平,示范区将持续发挥碳汇功能.
Abstract
To understand the carbon sink function of public welfare forest in Guangdong province,this pa-per takes 25 demonstration areas of public welfare forest in Guangdong province from 2021 to 2023 as the re-search objects,measures the carbon sink capacity of the demonstration areas based on the data from the Second-Class Survey Forest Resources Inventory,and analyzes the differences of carbon storage and carbon density in different regions,forest age classes,and forest types.The results indicate that the carbon storage of 25 demon-stration areas of public welfare forest in Guangdong province was 269.69×104 t,most of which were concentrat-ed in northern Guangdong,mainly middle-aged forest and broad-leaved mixed forest,accounting for 42.6%and 70.1%,respectively.The average carbon density was 53.23 t·hm-2,and the carbon density of near-ma-ture forest and over-mature forest was 105.8 times that of Litchi chinensis(Dimocarpus longan).The young and middle-aged forests account for about 64.66%of the forest area of 25 demonstration areas of public welfare forest.As the demonstration areas of public welfare forest continue to promote key forestry ecological engineer-ing afforestation and comprehensively improve the level of forest management,the demonstration area will con-tinue to play a significant role in carbon sink function.
关键词
森林碳汇/碳汇计量/公益林/生物量/蓄积量Key words
forest carbon sink/carbon sink measurement/public welfare forest/biomass/standing vol-ume引用本文复制引用
出版年
2024
NETL
NSTL
万方数据