Biomass equations for Scots pine and Norway spruce in Finland

By J. Repola. 2009

327 citations recorded by the source corpus.

In this study, biomass equations for the aboveand below-ground tree components of Scots pine (Pinus sylvestris) and Norway spruce (Picea abies [L.] Karst.) were developed. The models were based on 908 pine trees and 613 spruce trees collected in 77 stands located on mineral soil, and represented a wide range of stand and site conditions in Finland. The whole data set consisted of three sub data sets: 33 temporary sample plots, five thinning experiments, and the control plots of 39 fertilization experiments. The biomass equations were estimated for the individual tree components: stem wood, stem bark, living and dead branches, needles, stump, and roots. In the data analysis, a multivariate procedure was applied in order to take into account the statistical dependence among the equations. Three multivariate models for above-ground biomass and one for below-ground biomass were constructed. The multivariate model (1) was mainly based on tree diameter and height, and additional commonly measured tree variables were used in the multivariate models (2) and (3). Despite the unbalanced data in terms of the response variables, the statistical method generated equations that enable more flexible application of the equations, and ensure better biomass additivity compared to the independently estimated equations. The equations provided logical biomass predictions for a number of tree components, and were comparable with other functions used in Finland and Sweden even though the study material was not an objective, representative sample of the tree stands in Finland.

Subfields: Global and Planetary Change, Mechanical Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5ef8ef1a9068c286c938a84822b94be7f5374e0d

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In Global and Planetary Change

In Mechanical Engineering

In Nature and Landscape Conservation

Citations in the corpus

International benchmarking of terrestrial laser scanning approaches for forest inventories (2018, methodology): “The total aboveground biomass of a tree was estimated using the multivariate statistical models presented in (Repola, 2008, 2009).”
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (2013, background): “For example, the biomass of a tree can be estimated quickly and quite accurately from stem diameter at breast height and height of the tree [2].”
Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds (2013, methodology): “As a conventional method, we also estimated the stem biomass based on the biomass equations (Repola 2009).”