摘要
全球气候变化背景下,我国近地面臭氧浓度不断增加,已严重威胁到森林生态系统。但是,目前臭氧污染影响我国亚热带森林生物量的研究仍然具有较高的不确定性。本研究比较了不同模型和不同参数化方案评估的鼎湖山森林和林下草地生物量损失率的差别,比较了鼎湖山阔叶林和针叶林以及林下草地的生物量损失率与总初级生产力(GPP)损失率的一致性。2015—2016年臭氧污染造成的鼎湖山阔叶林生物量损失率为11.3%—11.69%,针叶林生物量损失率为3.97%—3.68%,草地生物量损失11.2%—14.6%;不同参数化方案估计的鼎湖山阔叶林的生物量损失率在9%—13%之间,针叶林的生物量损失率在3.68%—4.4%之间变化,草地在11.2%—14.6%之间。基于臭氧剂量响应关系模型估算的阔叶林GPP损失率为10%—12.6%,针叶林GPP损失率为1.81%—2.6%,草地GPP损失率为3.2%—3.3%。总的来看,鼎湖山阔叶林和针叶林的生物量和GPP损失具有较高的一致性,阔叶林生物量和GPP的损失率明显高于针叶林生物量和GPP的损失率。
In the context of global climate change, the increasing surface ozone concentration in China has seriously threatened the forest ecosystem. However, the research on the effects of ozone pollution on the biomass of subtropical forests in China is still uncertain. In this study, we compared the difference of biomass loss rate between forest and understory grassland assessed by different models and different parameterization schemes, and compared the consistency of biomass loss rate and total primary productivity(GPP) loss rate between broad-leaved forest and coniferous forest and understory grassland in Dinghushan. The biomass loss rates of broad-leaved forest, coniferous forest and grassland were 11.3% to 11.69%, 3.97% to 3.68% and 11.2% to 14.6%, respectively, caused by ozone pollution in Dinghushan during 2015—2016. The biomass loss rate of broad-leaved forest, coniferous forest and grassland varied from 9% to 13%, 3.68% to 4.4% and 11.2% to 14.6%, respectively. The GPP loss rate of broad-leaved forest, coniferous forest and grassland was estimated to be 10% to 12.6%, 1.81% to 2.6% and 3.2% to 3.3% based on ozonometry response model. In general, the biomass and GPP loss of broad-leaved forest and coniferous forest in Dinghushan had a high consistency, and the loss rate of broad-leaved forest biomass and GPP was significantly higher than that of coniferous forest.
作者
王钦艺
黄玫
王昭生
王绍强
李跃林
WANG Qinyi;HUANG Mei;WANG Zhaosheng;WANG Shaoqiang;LI Yuelin(Key Laboratory of Regional Ecology and Environmental Change,School of Geography and Information Engineering,China University of Geosciences,Wuhan 440074,China;Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 101499,China;South China Botanical Garden,Guangzhou 510650,China)
出处
《生态学报》
CAS
CSCD
北大核心
2023年第5期1832-1842,共11页
Acta Ecologica Sinica
基金
国家自然科学基金项目(41971135)
国家自然科学基金项目(41801082)
国家自然科学基金项目(41630532)
中国地质大学(武汉)科研启动基金资助项目(162301192642)。
关键词
臭氧
亚热带森林
生物量
干沉降模型
ozone
subtropical forest
biomass
dry deposition model
