The course was originally designed for Forest Information Technology students as a "Special module". It covers the contemporary remote-sensing based forets inventory methods joining airborne lidar data with terrestrial sample plots measurements.
Polish NFI covers all forests independently of ownership and stands age. All measurements are taken during a 5-year cycle (20% of sample plots are measured during one year). The first cycle of the inventory started in 2005 and finished in 2009. The second cycle started in 2010. Sample plots in NFI are arranged into clusters grouped into blocks of five. Clusters are placed on tracts similar to the letter “L”. National Forest Inventory (NFI) data is an excellent tool for multidimensional analysis over a large area like on the country or even continental scale. The purpose of the course is to obtain information about the carbon content in the forest. The analyzes will be performed on the basis of NFI data with the use of regression models concerning such features of trees and stands as height, form factor, volume, stand density index or biomass.

The application of statistical procedures and computer technology to problems in forest mensuration and forest management planning. The course covers the following topics:

  • motivation for modeling tree and stand growth,
  • types of growth and yield systems,
  • individual tree volume and taper equations,
  • explicit models (dominant height, site index, stand density, survival functions, yield functions, adjustments for cultural treatments),
  • implicit models (diameter distributions, pdf's and distribution free),
  • individual tree models (distance dependent and distance independent),
  • compatibility with whole stand models,
  • growth model derivation and analysis (Generalized Algebraic Difference Method).

For all the above-mentioned topics model derivation, data requirements, parameter estimation methods and model validation procedures will be discussed in detail.

Single tree growth; forest growth, competition and structure; influence of various factors on growth of trees and stands

Zajęcia dla specjalizacji "dendrometria i nauka o produkcyjności lasu" na studiach II stopnia na kierunku "leśnictwo". Jest rozszerzeniem treści wykładu "Metoda reprezentacyjna" w ramach przedmiotu obowiązkowego "Doświadczalnictwo leśne".