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4篇 您的检索式:作者名="Nicholas C Coops"
    题名 作者 年代 出处 被引量
1Comparison of carbon-stock changes, eddycovariance carbon fluxes and model estimates in coastal Douglas-fir stands in British Columbia显示文摘Background: 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(HDF88and 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.Colin J Ferster JA (Tony) Trofymow Nicholas C Coops Baozhang Chen Thomas Andrew Black 2015Forest Ecosystems2015,2,2:1
2Plant and environment interactions-assessment of crown condition in eucalypt vegetation by renotely sensed optical indices显示文摘NICHOLAS C COOPS CHPdSTINE STONE 2004Journal of Environmental Quality2004,33,3:1
3Assessment of QuickBird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation显示文摘Nicholas C Coops Matt Johnson Michael A Wulder 2006Remote Sensing of Environment2006,103,:1
4A new data fusion model for high spatial- and temporal- resolution mapping of forest disturbance based on Landsat and MODIS 显示文摘Thomas Hilker Michael A Wulder Nicholas C Coops 2009Remote Sensing of Environment2009,113,:1
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