Bibliographic Details
| Title: |
Trembling aspen biomass equations and carbon estimations for southern Saskatchewan copses. |
| Authors: |
Schwitzer, Meliah D.1 (AUTHOR) Meliah.schwitzer@usask.ca, Cline, Andrea1 (AUTHOR), Akter, Runa1 (AUTHOR), Shafeian, Elham1 (AUTHOR), Khazaei, Morteza1 (AUTHOR), Fogel, Alan1 (AUTHOR), Weflen, Hanna1 (AUTHOR), Canning, Chloe1 (AUTHOR), Mood, Bryan1 (AUTHOR), Laroque, Colin P.1 (AUTHOR) |
| Source: |
Canadian Journal of Forest Research. 5/21/2026, Vol. 56, p1-9. 9p. |
| Subject Terms: |
*Biomass estimation, *Carbon sequestration, *Carbon analysis, Ecosystem services, Forest measurement, Populus tremuloides, Statistical models |
| Geographic Terms: |
Saskatchewan |
| Abstract: |
Trembling aspen (Populous tremuloides Michx.) copses are found throughout southern Saskatchewan and provide ecosystem services. Advancing our knowledge of carbon sequestration and biodiversity conservation requires understanding the full range of services within these unique landscapes. There is increasing attention toward regional-scale or ecosystem-specific biomass equations compared to current national-scale equations. We destructively sampled 54 trembling aspen trees from across southern Saskatchewan to develop regional-scale biomass equations for the area. We developed two complementary biomass equations using generalized additive models for diameter at breast height (DBH) and height-only models with explanatory powers of 87.1% and 74.9%. We estimated 118.27 tonnes C ha−1 for copses in Saskatchewan, which is lower than the 166.0 tonnes C ha−1 in the Boreal Forest. Our work also illustrates that the developed biomass equations are more representative of southern Saskatchewan, as national-scale DBH-only biomass equations tend to overestimate and height biomass equations tend to underestimate biomass. [ABSTRACT FROM AUTHOR] |
|
Copyright of Canadian Journal of Forest Research is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
GreenFILE |