基于不同立地等级的天山云杉天然林碳汇潜力  

Carbon sink potential of natural forests of Picea schrenkiana var.tianschanica based on different site grades

作　　者：王正婷 罗光成 赵善超 马茜芮 依里帆·艾克拜尔江 向玮 Wang Zhengting;Luo Guangcheng;Zhao Shanchao;Ma Xirui;Erfan·Akberjan;Xiang Wei(College of Forestry and Landscape Architecture,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China;School of Forestry,Beijing Forestry University,State Key Laboratory of Efficient Producton of Forest Resources,Beijing 100083,China;Natural Forest Protection Center of Uygur Autonomous Region of Xinjiang,Urumqi 830000,Xinjiang,China;Xinjiang Administration Center of West Tianshan National Nature Reserve,Yining 835000,Xinjiang,China;Xinjiang West Tianshan Forest Ecosystem Observation and Research Station,Gongliu 835400,Xinjiang,China)

机构地区：[1]新疆农业大学林学与风景园林学院,新疆乌鲁木齐830052 [2]北京林业大学林学院,林木资源高效生产全国重点实验室,北京100083 [3]新疆维吾尔自治区天然林保护中心,新疆乌鲁木齐830000 [4]新疆西天山国家级自然保护区管理中心,新疆伊宁835000 [5]新疆西天山森林生态系统定位观测研究站,新疆巩留835400

出　　处：《北京林业大学学报》2025年第4期74-81,共8页Journal of Beijing Forestry University

基　　金：国家重点研发计划(2022YFD2200502-04);国家自然科学基金项目(32160366)。

摘　　要：【目的】明确不同立地条件下新疆天山云杉天然林的碳汇潜力,为新疆天然林的生态功能提升、科学管理以及区域碳中和目标实现提供理论依据和技术支撑。【方法】基于新疆天山云杉天然林150块样地数据,通过林分断面积和碳储量模型的参数估计,利用黄金分割法求解最优林分密度指数,系统评估不同立地条件下林分碳汇潜力。【结果】(1)建立的林分优势高模型(R^(2)=0.965)将天山云杉样地划分为5个立地等级(Ⅰ—Ⅴ),各等级下样地数量分别为15、30、60、27、18个。(2)林分断面积和碳储量生长模型具有良好的拟合精度,其中断面积模型R^(2)=0.936(RMSE=2.931 m^(2)/(hm^(2)·a),rRMSE=0.134),碳储量模型R^(2)=0.861(RMSE=5.488 t/(hm^(2)·a),rRMSE=0.164)。(3)基准年龄时,立地等级Ⅰ—Ⅴ的碳储量分别为149.487、143.191、138.103、122.681、116.196 t/hm^(2),对应最优林分密度为1022、1166、1343、1568、1862株/hm^(2)。(4)随林龄增长,各立地等级碳汇潜力呈下降趋势,其中幼龄林阶段衰减速率最大,中龄林后趋缓;立地质量与碳储量呈正相关,但低立地质量林分具有更高密度调控空间。【结论】立地质量分级可有效表征天山云杉天然林碳汇潜力差异,建议重点加强占样本总量40%的中等立地质量林分(Ⅲ级)幼龄林阶段的精准调控,以充分挖掘其碳汇提升潜力。[Objective]This paper aims to clarify the carbon sink potential of Picea schrenkiana var.tianschanica natural forests in Xinjiang of western China under different site conditions,and to provide theoretical basis and technical support for the enhancement of ecological functions of natural forests in Xinjiang,scientific management,and the achievement of regional carbon neutrality.[Method]Based on the data from 150 sample plots of Picea schrenkiana var.tianschanica natural forests in Xinjiang,we systematically assessed the carbon sink potential of stand under different stand conditions by estimating the parameters of stand basal area and carbon storage growth model,and solving the optimal stand density index using the golden section method.[Result](1)The established stand dominant height model(R^(2)=0.965)divided the Picea schrenkiana var.tianschanica forest sample plots into five site grades(I−V),and the number of sample plots under each grade was 15,30,60,27,18,respectively.(2)The growth models of stand basal area and carbon storage had good fitting accuracy,in which the basal area model R^(2)=0.936(RMSE=2.931 m^(2)/(ha·year),rRMSE=0.134)and the carbon storage model R^(2)=0.861(RMSE=5.488 t/(ha·year),rRMSE=0.164).(3)When the age was fixed,stands with better stand quality had higher carbon sink potential,and stands with poor stand quality had higher potential for enhancement.At the base age,the carbon storage of site grades I−V was 149.487,143.191,138.103,122.681,116.196 t/ha,and the optimal stand densities corresponded to 1022,1166,1343,1568,and 1862 tree/ha,respectively.(4)With the growth of forest age,the carbon sink potential of each grade showed a decreasing trend,among which the decay rate was the largest in young forest stage,and slowed down after the middle-aged forest;the quality of stand was positively correlated with carbon storage,but the low stand quality had a higher density of regulating space.[Conclusion]Stand quality classification can effectively characterize the differences in carbon sink p

关 键 词：碳储量生长模型 碳汇潜力 天山云杉 立地等级 

分 类 号：S757.4[农业科学—森林经理学]