Seemingly Unrelated Mixed-Effects Biomass Models for Black Locust in West Poland

Information about tree biomass is important not only in the assessment of wood resources but also process preparing forest management plans, as well for estimating carbon stocks and their flow ecosystems. The study aimed to develop empirical models determining dry mass aboveground parts black locust trees components (stem, branches, leaves). research was carried out based on data collected 13 stands (a total 38 sample trees) located western Poland. model system developed multivariate mixed-effect using two approaches. In first approach, height were defined dependent variables, while diameter at breast used an independent variable. second variables Both approaches enable fixed-effect cross-model random-effect prediction locust. Cross-model obtained additional measurements extreme trees, characterized by smallest largest plot. This type more precise (root mean square error stem both equals 77.603 188.139, respectively) than that fixed-effects 238.716 206.933, respectively). use variable increases possibility practical application proposed solutions remote sources.