An analysis of stand-level size distributions of decay-affected Norway spruce trees based on harvester data

Abstract Key message We studied size distributions of decay-affected Norway spruce trees using cut-to-length harvester data. The data comprised tree-level decay and severity recordings from 101 final felling stands, which enabled to analyze relationships between all trees. Distribution matching technique was used transfer the distribution into diameter at breast height (DBH) Context Stem ( Picea abies [L.] Karst.) results in large economic losses timber production northern hemisphere. Forest management planning typically requires information on tree distributions. However, generally remain unknown impeding decision-making forest planning. Aims Our aim model level stands. Methods Cut-to-length 93,456 were collected stands Norway. For each (94% trees), presence stem (incipient advanced) recorded. stand-level (diameter height, DBH; H) described Weibull distribution. proposed (DM) models that transform either DBH or H compared predictive performance DMs with a null-model refers global estimated based DBHs harvested Results showed an average-sized is larger taller stand, while advanced shorter thinner having incipient decay. can be matched smaller error index (EI) values EI = 0.14) than 0.31). DM clearly outperformed null resulted 0.32. Conclusions analysis relationship explained by spread biology fungi modeled technique.