干旱半干旱区灌木生物量多尺度建模与碳库特征解析——以库布齐沙漠为例  

Multiscale modeling of shrub biomass and analysis of carbon pool characteristics in arid and semi-arid regions:a case study of the Hubq Desert,Inner Mongolia of northern China

作　　者：蒯悦 王春梅[1] 豆小敏[1] 严海飞 李晨曦 Kuai Yue;Wang Chunmei;Dou Xiaomin;Yan Haifei;Li Chenxi(School of Environmental Science&Engineering,Beijing Forestry University,Beijing 100083,China;National Energy Guohua(Guangxi)New Energy Co.,Ltd.,Nanning 530000,Guangxi,China)

机构地区：[1]北京林业大学环境科学与工程学院,北京100083 [2]国能国华(广西)新能源有限公司,广西南宁530000

出　　处：《北京林业大学学报》2025年第4期50-60,共11页Journal of Beijing Forestry University

基　　金：北京市自然科学基金项目(8232039);国家自然科学基金项目(41971024);北京林业大学大学生创新项目(S202410022220)。

摘　　要：【目的】灌丛生态系统具有独特的生物学特性,为完善干旱区碳计量体系并提升区域碳汇管理效能,本研究系统评估库布齐沙漠3种典型灌木的碳储量特征,为荒漠生态系统碳平衡核算提供支撑。【方法】针对库布齐沙漠地区沙柳、柠条锦鸡儿和梭梭3种典型灌木,采用样方调查和无人机遥感影像两种方法计量区域碳储量。通过样方调查构建灌木生物量(M)与冠幅面积(C)及体积(V)的最佳预测模型;利用无人机获取灌丛覆盖度,建立生物量与覆盖度的关系模型。将模型估算的灌丛碳储量与实测的土壤、凋落物碳储量相结合,得到区域生态系统碳储量。【结果】(1)沙柳(MS=0.563C^(2.563),R^(2)=0.710,P<0.001)和柠条锦鸡儿(MC=1.776C^(1.315),R^(2)=0.873,P<0.001)生物量主要受冠幅面积调控,而梭梭(MH=1.694V^(0.952),R^(2)=0.585,P<0.001)生物量与灌木体积显著相关。(2)构建了以灌丛覆盖度为自变量的沙柳(R^(2)=0.896,P<0.001)、柠条锦鸡儿(R^(2)=0.861,P<0.05)和梭梭(R^(2)=0.937,P<0.001)生物量回归模型。(3)研究区域生态系统碳储量为50.12~59.33 t/hm^(2),其中土壤、生物质(灌丛与凋落物)的碳储量分别为46.68~53.87 t/hm^(2)、3.38~6.53 t/hm^(2),土壤、生物质(灌丛与凋落物)对生态系统碳储量的平均贡献率分别为90.52%、9.48%。【结论】本研究构建了3种典型灌木生物量方程,填补了最新发布的造林碳汇方法学中荒漠灌木的计量空白,并计算出库布齐沙漠腹地灌丛的碳储量。研究成果为优化区域灌丛生态系统管理提供科学依据,进而提升灌丛在区域碳固持中的作用。[Objective]Shrub ecosystems possess unique biological characteristics.To improve the carbon accounting system in arid regions and enhance regional carbon sink management efficiency,this study systematically evaluated the carbon storage characteristics of three typical shrubs in the Hubq Desert,Inner Mongolia of northern China,providing methodological support for carbon balance accounting in desert ecosystems.[Method]For the three typical shrubs of Salix psammophila,Caragana korshinskii and Haloxylon ammodendron in the Hubq Desert,we used quadrat surveys and drone remote sensing imagery to quantify regional carbon storage;constructing the optimal prediction model for shrub biomass(M),crown area(C),and volume(V)through sample plot investigation;using drones to obtain shrub coverage and establish a relationship model between biomass and coverage.The regional ecosystem carbon storage is the sum of model-estimated shrub carbon storage and the measured soil and litter carbon storage.[Result](1)The biomass of S.psammophila(MS=0.563C^(2.563),R^(2)=0.710,P<0.001)and C.kroshinskii was most strongly correlated with crown area(MC=1.776C^(1.315),R^(2)=0.873,P<0.001),while the biomass of H.ammodendron was most closely related to shrub volume(MH=1.694V^(0.952),R^(2)=0.585,P<0.001).(2)Regression models for biomass based on shrub cover were established for S.psammophila(R^(2)=0.896,P<0.001),C.korshinskii(R^(2)=0.861,P<0.05),and H.ammodendron(R^(2)=0.937,P<0.001).(3)Carbon storage of ecosystem in the study area ranged in 50.12−59.33 t/ha,with soil,biomass(shrubs and litter)accounting for 46.68−53.87 t/ha and 3.38−6.53 t/ha,respectively.The average contribution rates of soil,biomass(shrubs and litter)to the carbon storage of the ecosystem were 90.52%and 9.48%,respectively.[Conclusion]The biomass equations for three typical shrubs constructed in this study fill the gap of shrub species in the Chinese Certified Emission Reduction-14-001-V01 and calculate the carbon storage of shrublands in the study area.This lays the foundatio

关 键 词：库布齐沙漠 灌木 生物量模型 碳储量 

分 类 号：S793[农业科学—林木遗传育种]