中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 植物研究所
  3. 中国科学院植物研究所
  4. 植被与环境变化国家重点实验室
Seasonal and interannual variations of ecosystem photosynthetic characteristics in a semi-arid grassland of Northern China

文献类型：期刊论文

作者You, Cuihai2; Wang, Yanbing2; Tan, Xingru2; Zhang, Bingwei3; Ren, Tingting; Chen, Boyu2; Xu, Mengzhen2; Chen, Shiping2
刊名JOURNAL OF PLANT ECOLOGY
出版日期2022
卷号15期号:5页码:961-976
ISSN号1752-9921
关键词photosynthetic parameter water-limited grasslands eddy covariance carbon flux physiological regulation
DOI10.1093/jpe/rtac065
文献子类Article
英文摘要The ecosystem apparent quantum yield (alpha), maximum rate of gross CO2 assimilation (P-max) and daytime ecosystem respiration rate (R-d), reflecting the physiological functioning of ecosystem, are vital photosynthetic parameters for the estimation of ecosystem carbon budget. Climatic drivers may affect photosynthetic parameters both directly and indirectly by altering the response of vegetation. However, the relative contribution and regulation pathway of environmental and physiological controls remain unclear, especially in semi-arid grasslands. We analyzed seasonal and interannual variations of photosynthetic parameters derived from eddy-covariance observation in a typical semi-arid grassland in Inner Mongolia, Northern China, over 12 years from 2006 to 2017. Regression analyses and a structural equation model (SEM) were adopted to separate the contributions of environmental and physiological effects. The photosynthetic parameters showed unimodal seasonal patterns and significantly interannual variations. Variations of air temperature (T-a) and soil water content (SWC) drove the seasonal patterns of photosynthetic parameters, while SWC predominated their interannual variations. Moreover, contrasting with the predominant roles of T-a on alpha and R-d, SWC explained more variance of P-max than T-a. Results of SEM revealed that environmental factors impacted photosynthetic parameters both directly and indirectly through regulating physiological responses reflected by stomatal conductance at the canopy level. Moreover, leaf area index (LAI) directly affected alpha, P-max and R-d and dominated the variation of P-max. On the other hand, SWC influenced photosynthetic parameters indirectly through LAI and canopy surface conductance (gc). Our findings highlight the importance of physiological regulation on the photosynthetic parameters and carbon assimilation capacity, especially in water-limited grassland ecosystems.
学科主题Plant Sciences ; Ecology ; Forestry
电子版国际标准刊号1752-993X
出版地OXFORD
WOS关键词CARBON-DIOXIDE EXCHANGE ; LIGHT-RESPONSE ; INNER-MONGOLIA ; BIOPHYSICAL REGULATIONS ; STOMATAL CONDUCTANCE ; PRIMARY PRODUCTIVITY ; ENERGY-BALANCE ; CO2 EXCHANGE ; NET ; VARIABILITY
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者OXFORD UNIV PRESS
WOS记录号WOS:000860845700003
资助机构National Key Research and Development Program of China [2017YFA0604801] ; National Natural Science Foundation of China [32071565, 41773084]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28696]  
专题植被与环境变化国家重点实验室
作者单位1.Beijing Normal Univ, Adv Inst Nat Sci, State Key Lab Earth Surface Proc & Resource Ecol, Zhuhai Branch, Zhuhai 519087, Peoples R China
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 You, Cuihai,Wang, Yanbing,Tan, Xingru,et al. Seasonal and interannual variations of ecosystem photosynthetic characteristics in a semi-arid grassland of Northern China[J]. JOURNAL OF PLANT ECOLOGY,2022,15(5):961-976.
APA You, Cuihai.,Wang, Yanbing.,Tan, Xingru.,Zhang, Bingwei.,Ren, Tingting.,...&Chen, Shiping.(2022).Seasonal and interannual variations of ecosystem photosynthetic characteristics in a semi-arid grassland of Northern China.JOURNAL OF PLANT ECOLOGY,15(5),961-976.
MLA You, Cuihai,et al."Seasonal and interannual variations of ecosystem photosynthetic characteristics in a semi-arid grassland of Northern China".JOURNAL OF PLANT ECOLOGY 15.5(2022):961-976.

入库方式： OAI收割

来源：植物研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。