Canadian Forest Service Publications
Examining Naturogenic Processes and Anthropogenic Influences on Tree Growth and Development via Stem Analysis: Data Processing and Computational Analytics. 2019. Newton, P.F. Forests 10: Art. 1058.
Year: 2019
Issued by: Great Lakes Forestry Centre
Catalog ID: 39984
Language: English
Availability: PDF (download)
Available from the Journal's Web site. †
DOI: 10.3390/f10121058
† This site may require a fee
Plain Language Summary
The conceptual, computational and analytical foundation of the stem analysis approach is well documented within the scientific literature. The approach has been widely used as the primary investigative tool for quantifying the growth, development and allometric responses of excurrent trees to a broad array of anthropogenic influences and naturogenic processes. However, the computational and analytical algorithms required to implement the stem analysis approach has been largely been fragmented and generally has fallen behind innovations in imaging systems and computer technology. Consequently, the VB.NET-based SAP software suite presented in this study which is applicable to temperate and boreal forest tree species, mathematically consistent with excurrent tree geometric and allometric principles, compatible with data structures obtaining using both proprietary and non-proprietary imaging systems, and executable on Windows®-based computer operating systems representing over 80% of computers globally, represents a consequential contribution to advancing the stem analysis approach and its utility in forest science and related fields.
