Title: Individual tree biomass by components for small black spruce trees growing on the wetlands of the Boreal and Taiga Plains of Canada
Citation: Voicu, M. F., & Rea, T. J. (2023). Individual tree biomass by components for small black spruce trees growing on the wetlands of the Boreal and Taiga Plains of Canada [Dataset]. In New aboveground biomass equations by components for small black spruce in peatland ecosystems of Western Canada: Wagers et. al (Version v1.0.0, Issue In review). Zenodo. WEM conference. https://doi.org/10.5281/zenodo.7362485
Study Site: Boreal and Taiga Plains of Canada
Purpose: Black spruce is the most common tree species in Canada, dominating treed peatlands where they are usually stunted. We used 495 destructively sampled trees from 56 plots to develop allometric models of aboveground biomass by components (stem, branches, and needles) for small (<5 m tall) black spruce from peatlands in the Taiga Plains and Boreal Plains Ecozones of Western Canada, for which there were no specific models available of biomass by components. We used leave-one-plot-out cross-validation to assess transferability and compare our models with existing national and ecozone-specific equations.
Abstract: New tree mensuration data and biomass component data from destructive sampling of 679 trees, were collected at 57 black spruce boreal wetland sites within the Boreal Plains and Taiga Plains of Canada. These data have been used to develop new allometric equations to predict biomass components from total tree volume. The equations are key to modelling treed peatlands in the CaMP and thus contribute to improving accuracy in modelled C stocks and flux estimates for Canada’s treed peatlands.
Supplemental Information Summary: The record is publicly accessible, but files are restricted.
Research:
Further Info: Steven Wagers, Guillermo Castilla, Mihai Voicu, Tyler Rea, G. Arturo Sanchez-Azofeifa,
New aboveground biomass equations by components for small black spruce in peatland ecosystems of Western Canada, Canadian Journal of Forest Research, Volume 54, Issue 2, 2023,
https://doi.org/10.1139/cjfr-2023-0031
Status: Complete
Keywords:
modeling,
vegetation,
Geographical coordinates: North: 62.59, South: 54.73 East: -105.03 West: -122.63
Bounding Temporal Extent: Start Date: 2004-01-01, End
Date: 2021-12-31
