Contribution of plant traits to the explanation of temporal variations in carbon and water fluxes in semiarid grassland patches
作者机构:State Key Laboratory of Urban and Regional EcologyResearch Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of SciencesBeijing 100049China College of Forestry and BiotechnologyZhejiang Agriculture and Forestry UniversityHangzhou 311300China Key Research Institute of Yellow River Civilization and Sustainable DevelopmentHenan UniversityKaifeng 475001China School of Natural ResourcesFaculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China
出 版 物:《Journal of Plant Ecology》 (植物生态学报(英文版))
年 卷 期:2020年第13卷第6期
页 面:773-784页
核心收录:
学科分类:0710[理学-生物学] 071001[理学-植物学] 07[理学]
基 金:supported by the National Key Research and Development Program of China(no.2016YFC0501602) International Partnership Program(no.121311KYSB20170004)of Chinese Academy of Sciences
主 题:plant functional trait functional diversity carbon and water fluxes semiarid area Loess Plateau
摘 要:Aims Accurate prediction of spatiotemporal variations in carbon and water fluxes of heterogeneous landscape is critical to comprehensively address the effects of climate change and vegetation dynamics on landscape and regional carbon and water *** A field study was conducted to characterize the seasonal variations in gas fluxes and explore their relationships with abiotic and biotic factors in a small grassland *** carbon and water fluxes including net ecosystem exchange,gross ecosystem productivity,ecosystem respiration and evapotranspiration(ET)were measured for three types of grassland patches over a growing season using the closed chamber *** key plant trait variables were measured,based on which community weighted mean(CWM)and functional variance(FDvar)were *** Findings The results showed that the temporal variations in the carbon and water fluxes were regulated by meteorological,soil and community functional *** of the CWM and FDvar of plant trait measures greatly improved the degree of explanation of the predict *** leaf area and leafδ^(13)C content(Lδ^(13)C)were the most important trait variables in affecting the variations of the gas *** indices had greater importance than FDvar indices in predicting the variation of the C fluxes but FDvar indices were more important for ET than C *** findings demonstrated that mass ratio hypothesis and the complementary effects hypothesis are not mutually exclusive but have different relative importance for different ecosystem *** functional traits played important roles in predicting the spatiotemporal variations of carbon and water fluxes in semiarid grassland.