基于集成生物圈模型的南岭不同植被类型碳收支研究  

Carbon budget of different vegetation types in Nanling based on IBIS

作　　者：林黛仪 周平 徐卫 李吉跃 林雯 LIN Daiyi;ZHOU Ping;XU Wei;LI Jiyue;LIN Wen(Guangdong Nanling Forest Ecosystem National Observation and Research Station,Guangzhou Institute of Geography,Guangdong Academy of Sciences,Guangzhou 510070,China;College of Forestry and Landscape Architecture,South China Agricultural University,Guangzhou 510642,China;Guangzhou Institute of Forestry and Landscape Architecture,Guangzhou 510405,China)

机构地区：[1]广东省科学院广州地理研究所,广东南岭森林生态系统国家野外科学观测研究站,广州510070 [2]华南农业大学林学与风景园林学院,广州510642 [3]广州市林业和园林科学研究院,广州510405

出　　处：《生态学报》2024年第4期1429-1440,共12页Acta Ecologica Sinica

基　　金：科技基础资源调查专项课题(2021FY100702);广东省科学院打造综合产业技术创新中心行动资金(2022GDASZH-2022010106);广东省自然资源科技项目(GDZRZYKJ2023007);广东省科学院打造综合产业技术创新中心行动资金(2022GDASZH-2022010201)。

摘　　要：广东南岭保存着世界上同纬度带上最完整的亚热带植被,森林资源丰富,具有巨大的固碳潜力。然而,目前该地区不同森林植被类型的碳收支年积累量特征及月动态规律尚不明确。选择广东南岭国家级自然保护区内沟谷常绿阔叶林、山地常绿阔叶林、针阔叶混交林和山顶常绿阔叶矮林4种典型森林植被为研究对象,运用集成生物圈模型(IBIS)对其2020年总初级生产力(GPP)、净初级生产力(NPP)、净生态系统生产力(NEP)和土壤异养呼吸(Rh)进行模拟,利用样地调查数据对NPP模拟结果进行验证,分析该地区不同植被类型的碳收支年积累量特征及月变化特征。研究结果表明,2020年南岭不同植被类型GPP、NPP、NEP和Rh的平均值分别为1.709、0.718、0.596和0.123 kg C m^(-2)a^(-1),4种植被类型中GPP最高的是沟谷常绿阔叶林,NPP、NEP最高的是山地常绿阔叶林,山顶常绿阔叶矮林的GPP、NPP和NEP均相对较低。南岭不同植被类型全年各月均表现出碳汇(NEP>0),逐月NPP和NEP均表现为双峰变化规律,但不同植被类型的两个峰值所在月份不一致;逐月Rh呈夏季高、冬季低的单峰曲线,夏季时沟谷常绿阔叶林的Rh最高,山顶常绿阔叶矮林的Rh最低。经验证,IBIS模型较好地模拟南岭不同植被类型碳收支情况,模拟值解释了93%的实际碳收支情况,模型对各植被类型的模拟平均相对误差在1.16%-6.07%之间。该研究可为我国亚热带地区南岭森林生态系统的固碳能力评价和森林生态系统资源的管理提供重要参考价值。Nanling Mountains are abundant in forest resources,which have the most well-preserved subtropical vegetation in the same latitude zone in the world and great carbon sequestration potential.However,the characteristics of total annual carbon budget and the monthly dynamics of different vegetation types with different altitudes in this region are still not clear.In this study,four vegetation types in Guangdong Nanling National Nature Reserve were selected,including valley evergreen broad-leaved forest,mountain evergreen broad-leaved forest,coniferous and broad-leaved mixed forest,and mountaintop evergreen broad-leaved brushwood.The integrated biosphere simulator(IBIS)was used to simulate the gross primary productivity(GPP),net primary productivity(NPP),net ecosystem productivity(NEP),and soil heterotrophic respiration(Rh)of different vegetation types in 2020.The model simulation ability was accurately verified with the observed NPP based on sample plot tally data,and the characteristics of total annual carbon budget and their monthly dynamic changes were analyzed.The results showed that the average of GPP,NPP,NEP and Rh of all vegetation types in Nanling respectively were 1.709,0.718,0.596 and 0.123 kg C m^(-2) a^(-1) in 2020.Among four vegetation types,the valley evergreen broad⁃leaved forest had the highest GPP,the mountain evergreen broad⁃leaved forest had the highest NPP and NEP,while the mountaintop evergreen broad⁃leaved brushwood had relatively low GPP,NPP and NEP.Different vegetation types in the Nanling showed monthly carbon sink(NEP>0).The monthly NPP and NEP of different vegetation types both showed bimodal curves with two peaks appearing in different months.The monthly Rh of different vegetation types showed unimodal curves with a single peak appearing in summer,with the lower value in winter,and valley evergreen broad⁃leaved forest had the highest Rh in summer when mountaintop evergreen broad⁃leaved brushwood had the lowest value.It was verified that the IBIS well simulated the carbon budget o

关 键 词：森林碳收支 集成生物圈模型(IBIS) 生产力 动态变化 广东南岭国家级自然保护区 

分 类 号：S718.5[农业科学—林学]