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We developed individual tree height growth models for Norway spruce (Picea abies(L.) Karst.) and Scots pine (Pinus sylvestrisL.) 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. [ABSTRACT FROM PUBLISHER]

The Himalayas have been experiencing a higher rate of temperature increase than the global average. How such climate warming and changes in the precipitation regime may affect the growth responses of individual tree species is little known but is required so that adequate projections of future distributions and management plans can be formulated. This study was carried out to investigate the influence of intra- and interannual climate variability on the radial growth of Pinus wallichiana, a conifer species that typically colonises glacier forelands and screes. Tree core samples collected for chronology development that spanned over a 119-year-long (1899–2017) period and the relationship of ring width with climatic data was analysed using correlation analysis. Radial growth in P. wallichiana was negatively correlated with mean temperature in March and over the pre-monsoon (March – May) seasonal average and it was positively correlated with monthly precipitation in March and September. Monthly standardised precipitation index (SPI) values indicated that overall the growth of P. wallichiana was mainly controlled by precipitation availability during the pre-monsoon season, particularly in March. Moisture availability especially in spring is crucial for the radial growth of P. wallichiana. However, how this response varies throughout the elevational range of the species deserves further study to be able to make projections on the likely range expansion or contraction of the species in response to ongoing climate change. [ABSTRACT FROM AUTHOR]