文献类型：期刊文献

中文题名：基于分段模型的中条山国有林管理局油松林碳储量估计

英文题名：Estimation of carbon storage in Pinus tabulaeformis forests of Zhongtiaoshan state-owned forest administration based on segmented model

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

第一作者：何潇

机构：[1]中国林业科学研究院资源信息研究所,北京100091;[2]国家林业和草原局调查规划设计院,北京100714;[3]山西省中条山国有林管理局,山西侯马043003

年份：2025

卷号：45

期号：9

起止页码：121-129

中文期刊名：中南林业科技大学学报

外文期刊名：Journal of Central South University of Forestry & Technology

收录：;北大核心:【北大核心2023】；

基金：国家自然科学基金青年基金项目(32301588);“十四五”国家重点研发计划课题(2022YFD2200501)。

语种：中文

中文关键词：分段模型;林分碳储量;异速生长;油松林

外文关键词：segmented model;stand carbon;allometric growth;Pinus tabuliformis forest

分类号：S718.55

摘要：【目的】使用分段模型方法建立林分碳储量模型,估计山西省中条山国有林管理局油松林碳储量,为油松碳汇经营提供量化工具与经营建议。【方法】利用山西省第九次全国森林资源清查中的218个油松林固定样地数据,基于线性模型、异速生长模型,分别采用独立拟合、2组分段拟合方法,为油松林建立了6种林分碳储量模型。使用确定系数(R2)、均方根误差(RMSE)、相对均方根误差(rRMSE)评价模型,选择最优模型,结合小班调查数据,测算油松的碳储量与碳密度,并分析不同起源、龄组的油松林碳密度和碳储量特征。【结果】林分碳储量模型的R2为0.9635~0.9642,RMSE为5.1028~5.1534 t/hm^(2),rRMSE为12.5945%~12.7195%,模型性能较好。采用异速生长模型和分段拟合的方法能够提升模型的精度,交叉验证的rRMSE为(12.5364±0.6281)%,与不分段相比,rRMSE降低了0.17%。山西省中条山国有林管理局的油松林碳密度为31.02 t/hm^(2),碳储量为164.80万t,人工林和中幼龄林碳储量占比分别为84.68%和70.41%,天然林碳密度高但碳储量小,中幼龄林碳密度低但碳储量大,全局油松林碳储量结构不合理。【结论】林分碳储量与蓄积量呈异速非线性关系,建立分段模型时应当首先建立自变量范围较大区间的模型,再根据约束条件建立变量范围较小区间的模型,能够得到较好的林分碳储量模型。全局油松人工林和中幼龄林比重较大,碳储量结构不合理,因此通过加快现有油松人工林向复杂林分演替、加强油松中幼龄林的抚育经营,可以有效提高全局油松林的质量,增强全局油松林的固碳增汇潜力。
【Objective】To develop the stand carbon storage model by using the segmentation model,and to estimate the carbon storage of Pinus tabuliformis forests in Zhongtiaoshan,Shanxi Province and provide quantitative tools to and management suggestions for carbon sink management of Pinus tabulaeformis forests.【Method】Based on the survey data of 218 Pinus tabulaeformis pure forest permanent sample plots(PSPs)in the 9th national forest inventory in Shanxi Province,6 stand carbon models of Pinus tabulatus pure forests were established by using the linear model and the allometric model respectively by independent fitting and segmented fitting methods.Using the determination coefficient(R2),root mean square error(RMSE)and relative root mean square error(rRMSE)to evaluate models effects and select the optimal model,and the carbon storage and density of Pinus tabulaeformis forests were measured by combining the data of small class survey,and analyzed the carbon density and carbon storage characteristics with different origins and age groups.【Result】R2 of the stand carbon model is between 0.9635 and 0.9642,RMSE is between 5.1028 t/hm^(2) and 5.1534 t/hm^(2),and RRMSE is between 12.5945%and 12.7195%,respectively,the models have good performance.Allometric growth model and segmented fitting method could improve the accuracy of the model,and the RRMSE of cross-validation is 12.5364%±0.6281%,which is 0.17%lower than that of non-piecewise.The carbon density and storage of Pinus tabulaeformis forest in Zhongtiaoshan state-owned forest administration of Shanxi are 31.02 t/hm^(2) and 1648000 t,respectively.The ratio of carbon storage of natural forests and middle-aged and young-aged forest are 84.68%and 70.41%,respectively.The carbon density of natural forests is high but the carbon storage is small,and the carbon density of middle-aged and young-aged forests was low but the carbon storage is large,so the overall carbon storage structure of Pinus tabulaeformis forests is unreasonable.【Conclusion】There was a non-linear relationship between stand carbon and volume.When establishing a segmented model,we should first establish an interval model with a larger range of independent variables,and then establish an interval model with a smaller range of variables according to constraints,which could get a better stand carbon model.The overall Bureau of Pinus tabulaeformis plantations and young and middle-aged forests was large,and the structure of carbon storage was unreasonable.Therefore,by accelerating the succession of existing Pinus tabulaeformis plantations to complex stands and strengthening the tending management of young and middle-aged Pinus tabulaeformis forests,the overall quality of Pinus tabulaeformis forests could be effectively improved,and the potential of carbon fixation and sink enhancement could be enhanced.