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Modelling dominant height growth from national forest inventory individual tree data with short time series and large age errors

Modelling dominant height growth from national forest inventory individual tree data with short time series and large age errors

Forest Ecology and Management 262(12): 0-2175

We developed dominant height growth models for Norway spruce (Picea abies (L.) Karst.) and Scots pine (Pinus sylvestris L.) in Norway using national forest inventory (NFI) data. The data were collected for a different purpose which potentially causes problems for dominant height growth modelling due to short time series and large age errors. We used the generalized algebraic difference approach and fitted 15 different models using nested regression techniques. Despite the potential problems of NFI data the models fitted to these data were unbiased for most of the age and site index range covered by the NFI data when tested. Highlights: We developed dominant height growth models with national forest inventory (NFI) data. NFI data models showed very little bias against long-term experiment data. We improved the models by combining NFI data with data from long-term experiments. Combined data models showed no systematic bias against independent stem analysis data.

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Accession: 036197549

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DOI: 10.1016/j.foreco.2011.07.037

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