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dc.contributor.authorJuang, Jehn-Yih
dc.contributor.authorKatul, Gabriel G.
dc.contributor.authorSiqueira, Mario B. S.
dc.contributor.authorStoy, Paul C.
dc.contributor.authorPalmroth, Sari
dc.contributor.authorMcCarthy, Heather R.
dc.contributor.authorKim, Hyun-Seok
dc.contributor.authorOren, Ram
dc.date.accessioned2018-10-29T21:25:29Z
dc.date.available2018-10-29T21:25:29Z
dc.date.issued2006-03
dc.identifier.citationJuang, Jehn-Yih, Katul, Gabriel G., Siqueira, Mario B. S., Stoy, Paul C., Palmroth, Sari, McCarthy, Heather R., Kim, Hyun-Seok, Oren, Ram (2006) Modeling nighttime ecosystem respiration from measured CO2 concentration and air temperature profiles using inverse methods. Journal of Geophysical Research 111: D8, D08S05. DOI: 10.1029/2005JD005976.en_US
dc.identifier.issn0148-0227
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/14959
dc.description.abstractA major challenge for quantifying ecosystem carbon budgets from micrometeorological methods remains nighttime ecosystem respiration. An earlier study utilized a constrained source optimization (CSO) method using inverse Lagrangian dispersion theory to infer the two components of ecosystem respiration (aboveground and forest floor) from measured mean CO2 concentration profiles within the canopy. This method required measurements of within‐canopy mean velocity statistics and did not consider local thermal stratification. We propose a Eulerian version of the CSO method (CSOE) to account for local thermal stratification within the canopy for momentum and scalars using higher‐order closure principles. This method uses simultaneous mean CO2concentration and air temperature profiles within the canopy and velocity statistics above the canopy as inputs. The CSOE was tested at a maturing loblolly pine plantation over a 3‐year period with a mild drought (2001), a severe drought (2002), and a wet year (2003). Annual forest floor efflux modeled with CSOE averaged 111 g C m−2 less than that estimated using chambers during these years (2001: 1224 versus 1328 gCm−2; 2002: 1127 versus 1230 gCm−2; 2003: 1473 versus 1599 gCm−2). The modeled ecosystem respiration exceeded estimates from eddy covariance measurements (uncorrected for storage fluxes) by at least 25%, even at high friction velocities. Finally, we showed that the CSOEannual nighttime respiration values agree well with independent estimates derived from the intercept of the ecosystem light‐response curve from daytime eddy covariance CO2flux measurements.en_US
dc.language.isoenen_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.titleModeling nighttime ecosystem respiration from measured CO2 concentration and air temperature profiles using inverse methodsen_US
dc.typeArticleen_US
mus.citation.issueD8en_US
mus.citation.journaltitleJournal of Geophysical Researchen_US
mus.citation.volume111en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1029/2005JD005976en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage6en_US


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