2016
DOI: 10.1080/02827581.2016.1238957
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Applying polynomial regression modeling to productivity analysis of sustainable stump harvesting

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Cited by 4 publications
(2 citation statements)
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“…Some studies have been carried out to evaluate regression models to estimate stump biomass (Palander et al 2009, Vesa andPalander 2010), productivity (Gallis and Spyroglou 2012, Palander et al 2017, Brewer et al 2018, and production and costs (Silayo and Migunga 2014) in wood harvesting methods. However, none of them proposed and evaluated statistical models to estimate residual biomass of Eucalyptus stands or other forest species by means of tree variables measured from the harvester processing head.…”
Section: Discussionmentioning
confidence: 99%
“…Some studies have been carried out to evaluate regression models to estimate stump biomass (Palander et al 2009, Vesa andPalander 2010), productivity (Gallis and Spyroglou 2012, Palander et al 2017, Brewer et al 2018, and production and costs (Silayo and Migunga 2014) in wood harvesting methods. However, none of them proposed and evaluated statistical models to estimate residual biomass of Eucalyptus stands or other forest species by means of tree variables measured from the harvester processing head.…”
Section: Discussionmentioning
confidence: 99%
“…The empirical data for large stumps are poor leading to great uncertainty. In this special issue, Palander et al (2017) compared two regression models taking the machine type, stump diameter, soil conditions and time into consideration. An unconstrained model, using the data present for large stumps, showed slightly decreasing productivity for stumps larger than 50 cm diameter.…”
Section: Tryggve Perssonmentioning
confidence: 99%