Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange

dc.contributor.authorFu, Zheng
dc.contributor.authorStoy, Paul C.
dc.contributor.authorPoulter, Benjamin
dc.contributor.authorGerken, Tobias
dc.contributor.authorZhang, Zhen
dc.contributor.authorWakbulcho, Guta
dc.contributor.authorNiu, Shuli
dc.date.accessioned2020-01-21T19:34:30Z
dc.date.available2020-01-21T19:34:30Z
dc.date.issued2019-10-19
dc.description.abstractTerrestrial ecosystems contribute most of the interannual variability (IAV) in atmospheric carbon dioxide (CO2) concentrations, but processes driving the IAV of net ecosystem CO2 exchange (NEE) remain elusive. For a predictive understanding of the global C cycle, it is imperative to identify indicators associated with ecological processes that determine the IAV of NEE. Here, we decompose the annual NEE of global terrestrial ecosystems into their phenological and physiological components, namely maximum carbon uptake (MCU) and release (MCR), the carbon uptake period (CUP), and two parameters, α and β, that describe the ratio between actual versus hypothetical maximum C sink and source, respectively. Using long‐term observed NEE from 66 eddy covariance sites and global products derived from FLUXNET observations, we found that the IAV of NEE is determined predominately by MCU at the global scale, which explains 48% of the IAV of NEE on average while α, CUP, β, and MCR explain 14%, 25%, 2%, and 8%, respectively. These patterns differ in water‐limited ecosystems versus temperature‐ and radiation‐limited ecosystems; 31% of the IAV of NEE is determined by the IAV of CUP in water‐limited ecosystems, and 60% of the IAV of NEE is determined by the IAV of MCU in temperature‐ and radiation‐limited ecosystems. The Lund‐Potsdam‐Jena (LPJ) model and the Multi‐scale Synthesis and Terrestrial Model Inter‐comparison Project (MsTMIP) models underestimate the contribution of MCU to the IAV of NEE by about 18% on average, and overestimate the contribution of CUP by about 25%. This study provides a new perspective on the proximate causes of the IAV of NEE, which suggest that capturing the variability of MCU is critical for modeling the IAV of NEE across most of the global land surface.en_US
dc.identifier.citationFu, Zheng, Paul C. Stoy, Benjamin Poulter, Tobias Gerken, Zhen Zhang, Guta Wakbulcho, and Shuli Niu. "Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange." Global Change Biology 25, no. 10 (October 2019): 3381-3394. DOI:10.1111/gcb.14731.en_US
dc.identifier.issn1354-1013
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/15805
dc.language.isoen_USen_US
dc.rightsThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.titleMaximum carbon uptake rate dominates the interannual variability of global net ecosystem exchangeen_US
dc.typeArticleen_US
mus.citation.extentfirstpage3381en_US
mus.citation.extentlastpage3394en_US
mus.citation.issue10en_US
mus.citation.journaltitleGlobal Change Biologyen_US
mus.citation.volume25en_US
mus.data.thumbpage2en_US
mus.identifier.doi10.1111/gcb.14731en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US

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