Comparison of carbon-stock changes, eddy-covariance carbon fluxes and model estimates in coastal Douglas-fir stands in British Columbia

dc.contributor.authorFerster, Colin J
dc.contributor.authorTrofymow, JA (Tony)
dc.contributor.authorCoops, Nicholas C
dc.contributor.authorChen, Baozhang
dc.contributor.authorBlack, Thomas Andrew
dc.date.accessioned2015-06-12T17:23:07Z
dc.date.available2015-06-12T17:23:07Z
dc.date.copyright2015en_US
dc.date.issued2015-05-07
dc.descriptionSpringerOpenen_US
dc.description.abstractBackground: The global network of eddy-covariance (EC) flux-towers has improved the understanding of the terrestrial carbon (C) cycle, however, the network has a relatively limited spatial extent compared to forest inventory data and plots. Developing methods to use inventory-based and EC flux measurements together with modeling approaches is necessary evaluate forest C dynamics across broad spatial extents. Methods: Changes in C stock change (ΔC) were computed based on repeated measurements of forest inventory plots and compared with separate measurements of cumulative net ecosystem productivity (ΣNEP) over four years (2003 – 2006) for Douglas-fir (Pseudotsuga menziesii var menziesii) dominated regeneration (HDF00), juvenile (HDF88 and HDF90) and near-rotation (DF49) aged stands (6, 18, 20, 57 years old in 2006, respectively) in coastal British Columbia. ΔC was determined from forest inventory plot data alone, and in a hybrid approach using inventory data along with litter fall data and published decay equations to determine the change in detrital pools. These ΔC-based estimates were then compared with ΣNEP measured at an eddy-covariance flux-tower (EC-flux) and modelled by the Carbon Budget Model - Canadian Forest Sector (CBM-CFS3) using historic forest inventory and forest disturbance data. Footprint analysis was used with remote sensing, soils and topography data to evaluate how well the inventory plots represented the range of stand conditions within the area of the flux-tower footprint and to spatially scale the plot data to the area of the EC-flux and model based estimates. Results: The closest convergence among methods was for the juvenile stands while the largest divergences were for the regenerating clearcut, followed by the near-rotation stand. At the regenerating clearcut, footprint weighting of CBM-CFS3 ΣNEP increased convergence with EC flux ΣNEP, but not for ΔC. While spatial scaling and footprint weighting did not increase convergence for ΔC, they did provide confidence that the sample plots represented site conditions as measured by the EC tower. Conclusions: Methods to use inventory and EC flux measurements together with modeling approaches are necessary to understand forest C dynamics across broad spatial extents. Each approach has advantages and limitations that need to be considered for investigations at varying spatial and temporal scales.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipFunding for this study was provided by the Canadian Forest Service Pacific Forestry Centre Graduate Student Award, a CFCAS grant to the Canadian Carbon Program (CCP), and Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant to NCC. The LiDAR data were acquired by Benoit St-Onge of the University of Quebec at Montreal as part of an ongoing collaborative project with funds provided by NSERC and BIOCAP.en_US
dc.identifier.citationFerster et al.: Comparison of carbon-stock changes, eddy-covariance carbon fluxes and model estimates in coastal Douglas-fir stands in British Columbia. Forest Ecosystems (2015) 2:13en_US
dc.identifier.urihttp://dx.doi.org/10.1186/s40663-015-0038-3
dc.identifier.urihttp://www.forestecosyst.com/content/2/1/13
dc.identifier.urihttp://hdl.handle.net/1828/6258
dc.language.isoenen_US
dc.publisherForest Ecosystemsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/*
dc.subjectForest carbon
dc.subjectMicrometeorology
dc.subjectBiometry
dc.subjectRemote sensing
dc.subjectGeographic information systems
dc.subject.departmentDepartment of Biology
dc.titleComparison of carbon-stock changes, eddy-covariance carbon fluxes and model estimates in coastal Douglas-fir stands in British Columbiaen_US
dc.typeArticleen_US

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