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Site index is a common and convenient indicator of forest site productivity. The concept is well suited for growth and yield predictions, although there appears to be no universal consensus on the type or number of site trees needed for its application. We compared four methods for assessing site quality using data from black spruce (Picea mariana (Mill.) BSP) stands of northeastern Quebec. Data were analysed with a univariate repeated measures analysis of variance design using the MIXED procedure of the SAS system. Significant differences were found between the method based on the mean height of the 100 largest trees per hectare and three other methods that calculate site index using information from average site trees (codominants and dominants) and an equation to estimate top height from stand level data. We concur with many others that using the mean height of the 100 largest trees per hectare is a more standard procedure than simple averages of codominant and dominant tree heights for site quality assessment and growth modelling. We recommend that the next yield table system developed in the province should be based on top height trees, instead of using average codominants and dominants and an equation to estimate dominant height.

The influence of site tree selection method on site index determination and yield prediction in black spruce stands in northeastern Québec