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dc.contributor.authorYuan, Wenping
dc.contributor.authorLuo, Yiqi
dc.contributor.authorLi, Shuguang
dc.contributor.authorYu, Guirui
dc.contributor.authorZhou, Tao
dc.contributor.authorBahn, Michael
dc.contributor.authorBlack, Andy T.
dc.contributor.authorDesai, Ankur R.
dc.contributor.authorCescatti, Alessandro
dc.contributor.authorMarcolla, Barbara
dc.contributor.authorJacobs, Cor
dc.contributor.authorChen, Jiquan
dc.contributor.authorAurela, Mika
dc.contributor.authorBernhofer, Christian
dc.contributor.authorGielen, Bert
dc.contributor.authorBohrer, Gil
dc.contributor.authorCook, David R.
dc.contributor.authorDragoni, Danilo
dc.contributor.authorDunn, Allison L.
dc.contributor.authorGianelle, Damiano
dc.contributor.authorGrünwald, Thomas
dc.contributor.authorIbrom, Andreas
dc.contributor.authorLeclerc, Monique Y.
dc.contributor.authorLindroth, Anders
dc.contributor.authorLiu, Heping
dc.contributor.authorMarchesini, Luca Belelli
dc.contributor.authorMontagnani, Leonardo
dc.contributor.authorPita, Gabriel
dc.contributor.authorRodeghiero, Mirco
dc.contributor.authorRodrigues, Abel
dc.contributor.authorStarr, Gregory
dc.contributor.authorStoy, Paul C.
dc.date.accessioned2016-04-19T17:52:46Z
dc.date.available2016-04-19T17:52:46Z
dc.date.issued2001-10-13
dc.identifier.citationYuan, Wenping, Yiqi Luo, Xianglan Li, Shuguang Liu, Guirui Yu, Tao Zhou, Michael Bahn, et al. “Redefinition and Global Estimation of Basal Ecosystem Respiration Rate.” Global Biogeochemical Cycles 25, no. 4 (October 13, 2011): n/a–n/a. doi:10.1029/2011gb004150.en_US
dc.identifier.issn0886-6236
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/9719
dc.description.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 ∼3°S to ∼70°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.en_US
dc.titleRedefinition and global estimation of basal ecosystem respiration rateen_US
dc.typeArticleen_US
mus.citation.issue4en_US
mus.citation.journaltitleGlobal Biogeochemical Cyclesen_US
mus.citation.volume25en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1029/2011GB004150en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage10en_US


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