IGSNRR OpenIR
Redefinition and global estimation of basal ecosystem respiration rate
Yuan, Wenping1; Luo, Yiqi2; Li, Xianglan1; Liu, Shuguang3,4; Yu, Guirui5; Zhou, Tao6; Bahn, Michael7; Black, Andy8; Desai, Ankur R.9; Cescatti, Alessandro10; Marcolla, Barbara11; Jacobs, Cor12; Chen, Jiquan13; Aurela, Mika14; Bernhofer, Christian15; Gielen, Bert16; Bohrer, Gil17; Cook, David R.18; Dragoni, Danilo19; Dunn, Allison L.20; Gianelle, Damiano11; Gruenwald, Thomas15; Ibrom, Andreas21; Leclerc, Monique Y.22; Lindroth, Anders23; Liu, Heping24; Marchesini, Luca Belelli25; Montagnani, Leonardo26,27,28; Pita, Gabriel29; Rodeghiero, Mirco11; Rodrigues, Abel30; Starr, Gregory31; Stoy, Paul C.32
2011-10-13
Source PublicationGLOBAL BIOGEOCHEMICAL CYCLES
Volume25
AbstractBasal ecosystem respiration rate (BR), the ecosystem respiration rate at a given temperature, is a common and important parameter in empirical models for quantifying ecosystem respiration (ER) globally. Numerous studies have indicated that BR varies in space. However, many empirical ER models still use a global constant BR largely due to the lack of a functional description for BR. In this study, we redefined BR to be ecosystem respiration rate at the mean annual temperature. To test the validity of this concept, we conducted a synthesis analysis using 276 site-years of eddy covariance data, from 79 research sites located at latitudes ranging from similar to 3 degrees S to similar to 70 degrees N. Results showed that mean annual ER rate closely matches ER rate at mean annual temperature. Incorporation of site-specific BR into global ER model substantially improved simulated ER compared to an invariant BR at all sites. These results confirm that ER at the mean annual temperature can be considered as BR in empirical models. A strong correlation was found between the mean annual ER and mean annual gross primary production (GPP). Consequently, GPP, which is typically more accurately modeled, can be used to estimate BR. A light use efficiency GPP model (i.e., EC-LUE) was applied to estimate global GPP, BR and ER with input data from MERRA (Modern Era Retrospective-Analysis for Research and Applications) and MODIS (Moderate resolution Imaging Spectroradiometer). The global ER was 103 Pg C yr (-1), with the highest respiration rate over tropical forests and the lowest value in dry and high-latitude areas.
SubtypeArticle
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS Subject ExtendedEnvironmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
WOS KeywordCARBON-DIOXIDE FLUX ; SOIL RESPIRATION ; EDDY COVARIANCE ; TEMPERATURE SENSITIVITY ; INTERANNUAL VARIABILITY ; CO2 EXCHANGE ; DECIDUOUS FOREST ; CLIMATE-CHANGE ; MEDITERRANEAN FOREST ; EUROPEAN FORESTS
Indexed BySCI
Language英语
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS IDWOS:000297541400001
PublisherAMER GEOPHYSICAL UNION
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68136
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYuan, Wenping
Affiliation1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
2.Univ Oklahoma, Dept Bot & Microbiol, Norman, OK 73019 USA
3.US Geol Survey, Earth Resources Observat & Sci Ctr, Sioux Falls, SD USA
4.S Dakota State Univ, Geog Informat Sci Ctr Excellence, Brookings, SD 57007 USA
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Synth Res Ctr,Chinese Ecosyst Res Network, Beijing, Peoples R China
6.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource, Beijing 100875, Peoples R China
7.Univ Innsbruck, Inst Ecol, A-6020 Innsbruck, Austria
8.Univ British Columbia, Fac Land & Food Syst, Vancouver, BC V5Z 1M9, Canada
9.Univ Wisconsin Madison, Nelson Inst Environm Studies, Ctr Climat Res, Atmospher & Ocean Sci Dept, Madison, WI USA
10.European Commiss, Joint Res Ctr, Inst Environm & Sustainabil, Ispra, Italy
11.Fdn Edmund Mach, IASMA Res & Innovat Ctr, Sustainable Agroecosyst & Bioresources Dept, San Michele All Adige, Italy
12.Wageningen Univ, Wageningen, Netherlands
13.Univ Toledo, Dept Earth Ecol & Environm Sci, Toledo, OH 43606 USA
14.Finnish Meteorol Inst, FIN-00101 Helsinki, Finland
15.Tech Univ Dresden, Inst Hydrol & Meteorol, Chair Meteorol, Dresden, Germany
16.Univ Antwerp, Dept Biol, Antwerp, Belgium
17.Ohio State Univ, Dept Civil Environm & Geodet Engn, Columbus, OH 43210 USA
18.Argonne Natl Lab, Div Environm Sci, Climate Res Sect, Argonne, IL 60439 USA
19.Indiana Univ, Dept Geog, Bloomington, IN 47405 USA
20.Worcester State Coll, Dept Phys & Earth Sci, Worcester, MA USA
21.Tech Univ Denmark, Biosyst Div, Riso DTU Natl Lab Sustainable Energy, Roskilde, Denmark
22.Univ Georgia, Coll Agr & Environm Sci, Dept Crop & Soil Sci, Griffin, GA USA
23.Lund Univ, Geobiosphere Sci Ctr, Lund, Sweden
24.Washington State Univ, Dept Civil & Environm Engn, Lab Atmospher Res, Pullman, WA 99164 USA
25.Univ Tuscia, Dept Innovat Biol Agro Food & Forest Syst, Viterbo, Italy
26.Forest Serv Autonomous Prov Bolzano, Bolzano, Italy
27.Agcy Environm Autonomous Prov Bolzano, Lab Chem Phys, Bolzano, Italy
28.Free Univ Bolzano, Fac Sci & Technol, Bolzano, Italy
29.Inst Super Tecn, Dept Mech Engn, Lisbon, Portugal
30.Inst Nacl Recursos Biol, Unidade Silvicultura & Prod Florestais, Oeiras, Portugal
31.Univ Alabama, Dept Biol Sci, Tuscaloosa, AL USA
32.Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USA
Recommended Citation
GB/T 7714
Yuan, Wenping,Luo, Yiqi,Li, Xianglan,et al. Redefinition and global estimation of basal ecosystem respiration rate[J]. GLOBAL BIOGEOCHEMICAL CYCLES,2011,25.
APA Yuan, Wenping.,Luo, Yiqi.,Li, Xianglan.,Liu, Shuguang.,Yu, Guirui.,...&Stoy, Paul C..(2011).Redefinition and global estimation of basal ecosystem respiration rate.GLOBAL BIOGEOCHEMICAL CYCLES,25.
MLA Yuan, Wenping,et al."Redefinition and global estimation of basal ecosystem respiration rate".GLOBAL BIOGEOCHEMICAL CYCLES 25(2011).
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