文献类型：期刊文献

中文题名：山西中条山林局油松纯林碳汇潜力

英文题名：Carbon Sequestration Potentiality of Pinus tabuliformis Pure Forest in Zhongtiaoshan Forestry Bureau of Shanxi Province

作者：何潇[1] 罗光成[1,2] 高文强[1] 李海奎[1] 曾伟生[3] 段福军[4] 雷相东[1]

第一作者：何潇

机构：[1]林木资源高效生产全国重点实验室,国家林业和草原局森林经营与生长模拟实验室,中国林业科学研究院资源信息研究所,北京100091;[2]北京林业大学林学院,北京100083;[3]国家林业和草原局调查规划设计院,北京100714;[4]山西省中条山国有林管理局,侯马043003

年份：2025

卷号：61

期号：5

起止页码：74-84

中文期刊名：林业科学

外文期刊名：Scientia Silvae Sinicae

收录：;EI(收录号：20252218516433);北大核心:【北大核心2023】；

基金：国家重点研发计划课题“典型人工林立地质量评价与生产力提升技术(2022YFD2200501)”;国家自然科学基金青年科学基金项目“针阔混交林碳汇能力的密度和结构效应研究”(32301588)。

语种：中文

中文关键词：生长模型;固碳等级;碳汇潜力;林分密度优化

外文关键词：growth model;carbon sequestration grade;carbon sequestration potentiality;stand density optimization

分类号：S757

摘要：【目的】建立包含固碳等级、林分密度指数和林龄的碳储量分级生长模型系,提出一种森林碳汇潜力估计方法,估计森林经营单位尺度碳汇潜力,为森林经营增汇提供依据。【方法】基于山西省森林资源清查油松纯林固定样地数据和理论生长模型,采用双重迭代分级算法确定固碳等级,并建立碳储量分级生长模型系:平均单株碳储量分级生长模型、林分碳储量分级生长模型、平均单株断面积分级生长模型和林分断面积分级生长模型,使用确定系数(R2)、均方根误差、相对均方根误差等指标评价模型。以最大林分碳储量连年生长量(碳汇潜力)为目标函数,以林分密度为决策变量,通过优化方法求解碳汇潜力最大时的最优林分密度。基于山西省中条山林局油松纯林小班调查数据,评估其现实碳汇量、碳汇潜力和碳汇提升空间。【结果】山西省油松纯林平均单株碳储量分级生长模型和平均单株断面积分级生长模型的R2分别为0.920和0.903,林分碳储量分级生长模型和林分断面积分级生长模型的R2分别为0.966和0.985,模型的拟合效果较好;林分碳汇潜力随林龄的增加先增加后降低、随固碳等级的增加而升高;中条山林局油松纯林单位面积的碳汇潜力平均值为1.59 t·hm^(-2)a^(-1),单位面积的现实碳汇量平均值为0.97 t·hm^(-2)a^(-1),单位面积的相对碳汇提升空间平均值为29.08%。【结论】本研究建立的油松纯林碳储量分级生长模型系可应用于碳储量生长预测,提出的碳汇潜力估计方法具有通用性和可靠性。建议通过林分密度调整,提升油松纯林的现实碳汇量,该方法可为油松及其他类型森林固碳增汇经营提供依据。
【Objective】The aim of this study was to develop a carbon storage growth graded model system incorporating carbon sequestration grade,stand density index,and stand age,and put forward a method for estimating carbon sequestration potentiality,which can be used to assess the carbon sequestration potentiality at forest management unit scale,thereby providing a basis for forest management to increase carbon sequestration.【Method】Based on the data of permanent sample plots of Pinus tabuliformis pure forest of Shanxi Province and theoretical growth model,a double iterative grading algorithm was used to ascertain the carbon sequestration grade and to develop the carbon storage graded growth model system.This model system includes mean individual tree carbon storage graded,stand carbon storage graded,mean individual tree basal area graded and stand basal area graded growth models.Models were evaluated by the coefficient of determination(R2),root mean square error and relative root mean square error.The optimization method was applied to determine the optimal stand density that maximizes carbon sequestration potentiality,with the maximum stand carbon storage annual increment as the objective function and stand density as the decision variable.The realized carbon sequestration,potential carbon sequestration,and the gap between them were analyzed based on the sub-compartment survey data from Zhongtiaoshan Bureau of Shanxi Province.【Result】The R2 values were 0.920 and 0.903 for mean individual tree carbon storage graded growth model and basal area graded growth model respectively,and 0.966 and 0.985 for stand carbon storage graded growth model and basal area graded growth model,respectively,indicating a good fit for all growth models.Stand carbon sequestration potentiality increases initially and then decreases with stand age,and it rises with an increase of carbon sequestration grade.The average potential and realized carbon sequestration for P.tabuliformis pure forests was 1.59 and 0.97 t·hm^(-2)a^(-1)at unit area,respectively,with an average relative carbon sequestration growth gap was 29.08%in Zhongtiaoshan Bureau.【Conclusion】This study successfully established a carbon storage graded growth model system for P.tabuliformis pure foresr that can predict carbon storage growth process.It is recommended to make stand density adjustment for P.tabuliformis plantations to increase realized carbon sequestration.This approach can serve as a reference for carbon management aimed at increasing carbon sequestration in both P.tabuliformis forests and other forest types.