Using hybrid physiological/mensurational modelling to predict site index of Pinus sylvestris L. in Sweden: a pilot study

About this item

Title

Using hybrid physiological/mensurational modelling to predict site index of Pinus sylvestris L. in Sweden: a pilot study

Content partner

University of Canterbury Library

Collection

UC Research Repository

Description

Precision and bias of a model designed to predict site index of Scots pine (P. sylvestris L.) from site variables in Sweden were tested using data from 1985 inventory plots. The model was biased and relatively imprecise with a standard error of 3.7 m. A new model was constructed using a fitting subset of the data, employing the sum of mean monthly estimates of photosynthetically active radiation modified by local monthly climatic conditions as a primary independent variable. The best model us...

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Format

Research paper

Research format

Journal article

Date created

2017

Creator

Mason EG / Holmström E / Nilsson U

URL

http://hdl.handle.net/10092/14591

Related subjects

Site index / Mensuration / Tree physiology / Ecophysiology / Scots pine / Agricultural, veterinary and food sciences / Forestry sciences / Forestry management and environment / Forestry product quality assessment / Biological sciences / Ecology / Ecological physiology

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