Modeling individual tree height growth of Norway spruce and Scots pine from national forest inventory data in Norway. Issue 6 (18th August 2017)

• Record Type: Journal Article
• Authors: Sharma, Ram P.; Brunner, Andreas
• Is Part Of: Scandinavian journal of forest research. Volume 32:Issue 6(2017)
• Page Start: 501
• Page End: 514
• Publication Date: 2017-08-18
• Subjects: Individual tree height growth model -- national forest inventory data -- Norway spruce -- Scots pine -- Norway; Forests and forestry -- Scandinavia -- Periodicals; Forests and forestry -- Periodicals; Forests and forestry -- Research -- Scandinavia -- Periodicals; 634.90948
• DOI: 10.1080/02827581.2016.1269944
• Languages: English
• ISSNs: 0282-7581

Abstract

ABSTRACT: We developed individual tree height growth models for Norway spruce ( Picea abies (L.) Karst.) and Scots pine ( Pinus sylvestris L.) in Norway based on national forest inventory data. Potential height growth is based on existing dominant height growth models and reduced due to competition by functions developed in this study. Three spatially explicit and two spatially non-explicit competition indices were tested. Distance effects and diameter ratio effects were estimated from the data simultaneously with parameters of the potential modifier functions. Large height measurement errors in the national forest inventory data caused large residual variation of the models. However, the effects of competition on height growth were significant and plausible. The potential modifier functions show that height growth of dominant trees is largely unaffected by competition. Only at higher levels of competition, height growth is reduced as a consequence of competition. However, Scots pine also reduced height growth at very low levels of competition. Distance effects in the spatially explicit competition indices indicated that the closest neighbors are most important for height growth. However, for Scots pine also competitors at larger distance affected height growth. The five competition indices tested in this study explained similar proportions of the variation in relative height growth. Given that unbiased predictions can only be expected for the same plot size, we recommend a spatially explicit index, which describes the distance function with a negative exponential, for use in growth simulators.