In Sweden, as in other countries with a growing and increasingly diverse population of forest owners, there is an apparent need for more detailed quantitative data of high quality in order to describe and understand present forest conditions and predict and explain future trends. Therefore, the Swedish University of Agricultural Sciences has developed a Data Base for Forest Owner Analysis (DBFOA) by combining existing forest measurement statistics, gathered on a regular basis by the Swedish Forest Agency since 1992, with records of the individual forest owners. The database consists of self-reported measurement statistics in terms of cuttings, cleaning, scarification and planting from about 30,000 forest management units. It includes inform...