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Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands
Zhou, Huimin1; Shao, Junjiong1; Liu, Huiying1; Du, Zhenggang1; Zhou, Lingyan1; Liu, Ruiqiang1; Bernhofer, Christian2; Gruenwald, Thomas2; Dusek, Jiri3; Montagnani, Leonardo4,5; Tagesson, Torbern6,7; Black, Thomas Andrew8; Jassal, Rachhpal8; Woodgate, William9,10; Biraud, Sebastien11; Varlagin, Andrej12; Mammarella, Ivan13; Gharun, Mana14; Shekhar, Ankit14; Buchmann, Nina14; Manco, Antonio15; Magliulo, Enzo15; Billesbach, Dave16; Silberstein, Richard P.17,18; Ohta, Takeshi19; Yu, Guirui20,21; Chen, Zhi20,21; Zhang, Yiping22; Zhou, Xuhui1,23
2021-09-15
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
Volume307Pages:16
Corresponding AuthorShao, Junjiong(jjshao@des.ecnu.edu.cn) ; Zhou, Xuhui(xhzhou@des.ecnu.edu.cn)
AbstractCompared to the well-known drivers of spatial variability in gross primary productivity (GPP), the relative importance of climatic variables, soil properties and plant traits to the spatial variability in net ecosystem exchange of CO2 between terrestrial ecosystem and atmosphere (NEE) is poorly understood. We used principal component regression to analyze data from 147 eddy flux sites to disentangle effects of climatic variables, soil properties and plant traits on the spatial variation in annual NEE and its components (GPP and ecosystem respiration (RE)) across global forests and grasslands. Our results showed that the largest unique contribution (proportion of variance only explained by one class of variables) to NEE variance came from climatic variables for forests (24%-30%) and soil properties for grasslands (41%-54%). Specifically, mean annual precipitation and potential evapotranspiration were the most important climatic variables driving forest NEE, whereas available soil water capacity, clay content and cation exchange capacity mainly influenced grassland NEE. Plant traits showed a small unique contribution to NEE in both forests and grasslands. However, leaf phosphorus content strongly interacted with soil total nitrogen density and clay content, and these combined factors represented a major contribution for grassland NEE. For GPP and RE, the majority of spatial variance was attributed to the common contribution of climate, soil and plant traits (50% - 62%, proportion of variance explained by more than one class of variables), rather than their unique contributions. Interestingly, those factors with only minor influences on GPP and RE variability (e.g., soil properties) have significant contributions to the spatial variability in NEE. Such emerging factors and the interactions between climatic variables, soil properties and plant traits are not well represented in current terrestrial biosphere models, which should be considered in future model improvement to accurately predict the spatial pattern of carbon cycling across forests and grasslands globally.
KeywordCarbon Climatic variables Net ecosystem exchange Plant traits Soil properties Spatial variability
DOI10.1016/j.agrformet.2021.108506
WOS KeywordCARBON BALANCE ; ORGANIC-MATTER ; INTERANNUAL VARIABILITY ; TEMPERATURE SENSITIVITY ; NUTRIENT AVAILABILITY ; LITTER DECOMPOSITION ; ECOSYSTEM EXCHANGE ; LAND-SURFACE ; LEAF-AREA ; RESPIRATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[31930072] ; National Natural Science Foundation of China[32071593] ; National Natural Science Foundation of China[31600352] ; National Natural Science Foundation of China[31600387] ; National Natural Science Foundation of China[32001135] ; Shanghai Sailing Program[19YF1413200] ; Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Thousand Young Talents Program in China ; East China Normal University ; TRY initiative on plant traits ; DIVERSITAS/Future Earth ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig ; Swiss National Science Foundation[20FI20_173691] ; Swedish National Space Board (SNSB)[Dnr 95/16] ; U.S. Department of Energy's Office of Science ; Ministry of Education, Youth and Sports of CR within the CzeCOS program[LM2018123]
Funding OrganizationNational Natural Science Foundation of China ; Shanghai Sailing Program ; Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Thousand Young Talents Program in China ; East China Normal University ; TRY initiative on plant traits ; DIVERSITAS/Future Earth ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig ; Swiss National Science Foundation ; Swedish National Space Board (SNSB) ; U.S. Department of Energy's Office of Science ; Ministry of Education, Youth and Sports of CR within the CzeCOS program
WOS Research AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS SubjectAgronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS IDWOS:000682515100024
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164678
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShao, Junjiong; Zhou, Xuhui
Affiliation1.East China Normal Univ, Ctr Global Change & Ecol Forecasting, Sch Ecol & Environm Sci, Shanghai Key Lab Urban Ecol Proc & Ecorestorat,Ti, Shanghai 200241, Peoples R China
2.Tech Univ Dresden, Fac Environm Sci, Inst Hydrol & Meteorol, D-01062 Dresden, Germany
3.Acad Sci Czech Republ, Global Change Res Inst, Belidla 986-4a, Brno, Czech Republic
4.Free Univ Bolzano, Fac Sci & Technol, Bolzano, Italy
5.Forest Serv, Bolzano, Italy
6.Lund Univ, Dept Phys Geog & Ecosyst Sci, Solvegatan 12, SE-22362 Lund, Sweden
7.Univ Copenhagen, Dept Geosci & Nat Resource Management, Oster Voldgade 10, DK-1350 Copenhagen, Denmark
8.Univ British Columbia, Fac Land & Food Syst, 2357 Main Mall, Vancouver, BC V6T 1Z4, Canada
9.Univ Queensland, Sch Earth & Environm Sci, Brisbane, Qld, Australia
10.CSIRO, Land & Water, Brisbane, Qld, Australia
11.Lawrence Berkeley Natl Lab, 1 Cyclotron Rd, Berkeley, CA 94720 USA
12.Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Leninsky Pr 33, Moscow 119071, Russia
13.Univ Helsinki, Inst Atmospher & Earth Syst Res Phys, Helsinki, Finland
14.Swiss Fed Inst Technol, Dept Environm Syst Sci, Univ Str 2, CH-8092 Zurich, Switzerland
15.Natl Res Council Italy CNR ISAFOM, Inst Agr & Forestry Syst Mediterranean, Piazzale Enrico Fermi 1, Portici, NA, Italy
16.Univ Nebraska, Dept Biol Syst Engn, Lincoln, NE 68588 USA
17.Edith Cowan Univ, Joondalup, WA, Australia
18.Univ Western Australia, Nedlands, WA, Australia
19.Nagoya Univ, Chikua Ku, Furo Cho, Nagoya, Aichi 4648601, Japan
20.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Simulat, Beijing 100101, Peoples R China
21.Univ Chinese Acad Sci, Sch Resources & Environm, Beijing 100049, Peoples R China
22.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Menglun 666303, Peoples R China
23.Shanghai Inst Pollut Control & Ecol Secur, 1515 North Zhongshan Rd, Shanghai 200437, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Huimin,Shao, Junjiong,Liu, Huiying,et al. Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,307:16.
APA Zhou, Huimin.,Shao, Junjiong.,Liu, Huiying.,Du, Zhenggang.,Zhou, Lingyan.,...&Zhou, Xuhui.(2021).Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands.AGRICULTURAL AND FOREST METEOROLOGY,307,16.
MLA Zhou, Huimin,et al."Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands".AGRICULTURAL AND FOREST METEOROLOGY 307(2021):16.
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