华东师范大学学报（自然科学版）Issue(3)：56-68,13.DOI:10.3969/j.issn.1000-5641.2026.03.005
芦苇和互花米草功能性状对长江口盐沼湿地碳交换通量的影响
Driving mechanisms of carbon fluxes by functional traits in Phragmites australis and Spartina alterniflora dominated salt marshes of the Yangtze River Estuary
摘要
Abstract
Coastal wetlands,recognized as vital blue carbon ecosystems,exhibit carbon sequestration functions that are strongly associated with plant functional traits.This study investigated the regulatory mechanisms of functional traits on carbon sequestration in the Yangtze River Estuary using two dominant salt marsh species:Phragmites australis and Spartina alternifllora.We quantified key functional traits,including morphological traits,photosynthetic parameters,and chlorophyll concentration,while simultaneously measuring ecosystem carbon fluxes(CO2 and CH4 emissions).Results demonstrate significant interspecific differences in functional traits:S.alternifllora exhibited superior leaf area index(LAI),chlorophyll concentration,photosynthetic efficiency,and CO2 assimilation capacity compared with P.australis.The photosynthetic capacity of P.australis was predominantly regulated by LAI,whereas that of S.alterniflora was mainly regulated by chlorophyll concentration.The CO2 fluxes showed a strong positive correlation with leaf traits and photosynthetic parameters.In contrast,CH4 emissions showed no association with leaf traits;however,they were influenced by morphological traits,such as aboveground biomass,plant height and plant density.These findings highlight that plant functional traits differentially mediate carbon sequestration pathways and greenhouse gas dynamics in coastal wetlands,providing critical insights for vegetation-based blue carbon management strategies.关键词
植物功能性状/光合作用/叶绿素浓度/生态系统净碳交换/甲烷排放Key words
plant functional traits/photosynthesis/chlorophyll concentration/net ecosystem exchange/CH4 emissions分类
生物科学引用本文复制引用
葛铭,任璘婧,黄颖,李秀珍..芦苇和互花米草功能性状对长江口盐沼湿地碳交换通量的影响[J].华东师范大学学报（自然科学版）,2026,(3):56-68,13.基金项目
国家自然科学基金(42141016) （42141016）
国家重点研发计划(2022YFE0209300) （2022YFE0209300）
中国博士后科学基金(2021M700043) （2021M700043）
上海市科委政府间国际科技合作项目(22230713100) （22230713100）
