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108篇 您的检索式:作者名="Trofymow"
    题名 作者 年代 出处 被引量
1A comparison of digital and film fisheye photography for analysis of forest canopy structure and gap light transmission显示文摘Frazer GW Foumier R A Trofymow J A 2001Agricultural and Forest Meteorology2001,109,:1
2Aboveground large tree mass estimation in a coastal forest in British Columbia using plotlevel metrics and individual tree detection from lidar 显示文摘Ferster C J Coops N C Trofymow J A 2009Canadian Journal of Remote Sensing2009,35,3:1
3Prediction of nuclear magnetic resonance carbon fractions in decomposing forest litter using diffuse reflectance infrared Fourier transform spectroscopy and partial least squares regression显示文摘Nault J R Preston C M Trofymow J A 2009Soil Science2009,174,5:1
4Interactions of bacteria, fungi, and their nematode grazers : effects on nutri- ent cycling and plant growth显示文摘Ingham RE Trofymow JA Ingham ER 1985Ecological Monographs1985,55,:1
5Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements显示文摘J.M Chen G Pavlic L Brown J Cihlar S.G Leblanc H.P White R.J Hall D.R Peddle D.J King J.A Trofymow E Swift J Van der Sanden P.K.E Pellikka 2002Remote Sensing of Environment2002,,1:1
6Soil CO2 and N2O flux dynamics in a nitrogen-fertilized Pacific North-west Douglas-fir stand显示文摘Jassal R S Black T A Trofymow J 0,,03:1
7Abundance, species diversity, and community structure of collembolan in successional coastal temperate forests on Vancouver Island, Canada 显示文摘ADDISON J A TROFYMOW J A MARSHALL V G 2003Applied Soil Ecology2003,24,3:1
8The global stoichiometry of litter nitrogen mineralization 显示文摘Manzoni S Jackson RB Trofymow JA Porporato A 2008Science2008,321,5889:1
9Patterns of carbon,nitrogen and phosphorus dynamics in decomposing foliar litter in Canadian forests 显示文摘Moore TR Trofymow JA Prescott CE Fyles J Titus BD 2006Ecosystems2006,9,1:1
10The global stoichiometry of litter nitrogen mineralization显示文摘Manzoni S Jackson R B Trofymow J A 2008Science2008,321,5889:1
11Litter decomposition and nitrogen and phosphorus dynamics in peatlands and uplands over 12 years in central Canada 显示文摘Moore TR Trofymow JA Siltanen M Kozak LM 2008Oecologia2008,157,:1
12The global stoichiometry of litter nitrogen mineralization显示文摘MANZONI S JACKSON R B TROFYMOW J A 2008Science2008,321,:1
13Litter decomposition rates in Canadian forests 显示文摘MOORE T R TROFYMOW J A TAYLOR B 1999Global Change Biology1999,5,1:1
14Influence of micro-and macro-habitat factors on collembolan communities in Douglas-firstumps during forest succession 显示文摘SETALA H MARSHALL V G TROFYMOW J A 1995Applied Soil Ecology1995,2,4:1
15Theglobal stoichiometry of litter nitrogen mineralization显示文摘Manzoni S Jackson R B Trofymow J A Porporato A 2008Science2008,321,5889:1
16Comparison 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
17Stoichiometric controls on carbon, nitrogen, and phosphorus dynamics in decomposing litter显示文摘MANZONI S TROFYMOW J A JACKSON R B 2010Ecological Monographs2010,80,1:1
18Interactions of bacteria,fungi,and their nematode grazers:Effects on nutrient cycling and plant growth显示文摘INGHAM R E TROFYMOW J A INGHAM E R 1985Ecological Monograph1985,55,:1
19Mineralization of cellulose in the presence of chitin and assemblages of microflora and fauna in soil 显示文摘Trofymow J A Morley C R Coleman D C 1983Oecologia1983,60,1:1
2013CPMAS-NMRspectroscopy and chemical analysis of coarse woody debris in coastal forests of Vancouver Island 显示文摘Preston C M Trofymow J A Niu J 1998For Ecol Manage1998,111,:1
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