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Biomass and biomass change in lodgepole pine stands in AlbertaAuthor(s): Robert A. Monserud; Shongming Huang; Yuqing Yang
Source: Tree Physiology, Vol. 26, p. 819-831
Publication Series: Scientific Journal (JRNL)
PDF: Download Publication (3.0 MB)
DescriptionWe describe methods and results for broad-scale estimation and mapping of forest biomass for the Canadian province of Alberta. Differences over successive decades provided an estimate of biomass change. Over 1500 permanent sample plots (PSP) were analyzed from across the range of lodgepole pine (Pinus contorta var. latifolia Engelm.), the major forest tree species of Alberta. The PSP network is densest in stands aged between 70 and 100 years and is well-represented by stands of al1 ages to 150 years of age. Stand biomass (Mg ha-1) was estimated for each PSP plot as the sum of the respective biomass components for each tree (live and standing dead). The biomass components for live trees were stem, bark, branches, foliage and roots. The components for standing dead trees excluded foliage. Equations from previous biomass studies were used for biomass component estimation. Biomass estimates of additional non-tree components were attempted, but without much success. Biomass of the soil organic layer was estimated once on 452 PSPs and a mean estimate of total dead fuels on the ground (28.4 Mg ha 1) was available only for the entire distribution of lodgepole pine. However, values of these two components were essentially constant over time and therefore did not alter the analysis or conclusions obtained by analyzing total tree biomass alone. We then used this spatial network of 1549 plots as the basis for mapping biomass across Alberta. Mapping methods were based on Australian National University SPLINe (ANUSPLIN) software. Hutchinson's thin-plate smoothing spline in four dimensions (latitude, longitude, elevation and biomass).
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CitationMonserud, Robert A.; Huang, Shongming; Yang, Yuqing. 2006. Biomass and biomass change in lodgepole pine stands in Alberta. Tree Physiology, Vol. 26, p. 819-831
Keywordspermanent sample plots, Pinus contorta, productivity, smoothing splines
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