C.H. Shaw
Natural Resources Canada
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Publication
Featured researches published by C.H. Shaw.
Canadian Journal of Soil Science | 2008
C.H. Shaw; Ed Banfield; Werner A. Kurz
Most forest ecosystem carbon (C) models are designed to estimate total ecosystem C including soil C stocks and fluxes. Stratification by tree species is often used in these models to reduce uncertainty, but the potential of stratification by soil taxon has received little attention. This potential can be realized only if meaningful modeling strata are identified. Therefore, the objectives of this study were: (a) to distinguish strata of soil C modeling cateogories (SCMC) on the basis of soil C stocks of taxonomic categories that are characterized by similar pedogenic processes important to C dynamics, and (b) to review the literature to test the robustness of the SCMC scheme. Carbon stocks of 1383 forest soil pedons were analyzed by multiple means comparisons for soil orders and by orthogonal contrasts between pedologically related sets of subgroups within soil orders. Eleven SCMCs were distinguished with mean total C stocks varying from 325 ± 37.2 t ha-1 for the gleyed Cryosol SCMC to 94 ± 3.9 t ha-1 for...
Ecological Applications | 2012
A. B. Hilger; C.H. Shaw; Juha M. Metsaranta; Werner A. Kurz
Standing dead trees (snags) and downed woody debris contribute substantially to the carbon (C) budget of Canadas forest. Accurate parameterization of the C transfer rates (CTRs) from snags to downed woody debris is important for forest C dynamics models such as the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3), but CTRs are rarely measured or reported in the literature. Therefore, forest C models generally use snag fall rates (FRs) available in the literature, as a proxy for CTRs. However, FRs are based on stem counts while CTRs refer to mass transfers. Stem mass and stem number are not linearly related, with small diameter trees representing disproportionately lower C mass transfers. Therefore this proxy, while convenient, may bias C transfer from standing dead to downed woody material. Here, we combined tree data from 10802 sample plots and previously published species-specific individual-tree relationships between tree diameter (diameter at breast height, dbh) and fall rate to derive stand-level estimates of CTRs for the CBM-CFS3. We estimated CTRs and FRs and used the FR values to validate this approach by comparing them with standardized FR values compiled from the literature. FRs generally differed from CTRs. The overall CTR (4.78% +/- 0.02% per year, mean +/- SE) was significantly smaller than the overall FR (5.40% +/- 0.02% per year; mean +/- SE). Both the difference between FR and CTR (FR - CTR) and the CTR itself varied by ecozone, with ecozone means for CTR ranging from 3.94% per year to 10.02% per year. This variation was explained, in part, by heterogeneity in species composition, size (dbh distribution), structure, and age of the stands. The overall mean CTR estimated for the Snag_Stemwood (4.78% per year) and the Snag_Branches (11.95% per year) pools of the CBM-CFS3 were approximately 50% and 20% higher than the current default rates used in the CBM-CFS3 of 3.2% and 10.0%, respectively. Our results demonstrate that using CTRs to estimate the annual C transfer from standing dead trees to downed woody biomass will yield more accurate estimates of C fluxes than using a FR proxy, and this accuracy could be further improved by accounting for differences in ecozone, stand component (hardwood or softwood), or lead species.
Canadian Journal of Forest Research | 2010
Martin T. Moroni; C.H. Shaw; Werner A. Kurz; Gregory J. Rampley
The Intergovernmental Panel on Climate Change recommends that countries that use advanced (Tier 3) models to meet their international reporting obligations on forest greenhouse gas emissions and removals evaluate model predictions against independent field data. Unfortunately, estimates of total ecosystem C stocks and stock changes are scarce and consequently the recommended evaluations are rarely completed. The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) is the core model of Canada’s National Forest Carbon Monitoring, Accounting, and Reporting System that implements an Intergovernmental Panel on Climate Change Tier 3 approach. It accounts for biomass, dead organic matter, and soil C pools as affected by natural and anthropogenic disturbances. We used data from a recent study of total ecosystem C stocks for black spruce (Picea mariana (Mill.) BSP) and balsam fir (Abies balsamea (L.) Mill.) boreal forest chronosequences of different disturbance origins in Newfoundland, Canada, to evaluate ...
Ecological Modelling | 2009
Werner A. Kurz; Caren C. Dymond; Thomas White; G. Stinson; C.H. Shaw; Gregory J. Rampley; Carolyn Smyth; B.N. Simpson; Eric T. Neilson; J.A. Trofymow; Juha M. Metsaranta; Mike Apps
Ecosystems | 2013
Kelly Ann Bona; C.H. Shaw; Werner A. Kurz
Ecological Modelling | 2014
C.H. Shaw; A.B. Hilger; Juha M. Metsaranta; Werner A. Kurz; G. Russo; F. Eichel; G. Stinson; Carolyn Smyth; M. Filiatrault
Ecological Modelling | 2010
Ulrike Hagemann; Martin T. Moroni; C.H. Shaw; Werner A. Kurz; Franz Makeschin
Forest Ecology and Management | 2013
Eiji Matsuzaki; Paul Sanborn; Arthur L. Fredeen; C.H. Shaw; Chris Hawkins
Canadian Journal of Forest Research | 2017
Juha M. Metsaranta; C.H. Shaw; Werner A. Kurz; Céline Boisvenue; Scott Morken
Canadian Journal of Forest Research | 2016
Kelly Ann Bona; C.H. Shaw; Werner A. Kurz