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Acta Forestalia Fennica no. 145 | 1975

Category : Article

article id 7579, category Article
Pekka Kilkki, Markku Siitonen. (1975). Metsikön puuston simulointimenetelmä ja simuloituun aineistoon perustuvien puustotunnusmallien laskenta. Acta Forestalia Fennica no. 145 article id 7579. https://doi.org/10.14214/aff.7579
English title: Simulation of artificial stands and derivation of growing stock models from this material.
Original keywords: puulajit; menetelmät; metsikkö; puusto; simulointi; puustotunnukset
English keywords: Pinus sylvestris; birch; Picea abies; stand characteristics; tree species; growing stock; methods; simulation of stands
Abstract | View details | Full text in PDF | Author Info

The purpose of this study was that of providing a long-term timber production model (Kilkki and Pökkälä 1975) with growing stock models. The paper is divided into two parts; the first is concerned with generation of the stand data through Monte-Carlo simulation. The growing stock of each stand was described by a DBH-height distribution. The necessary information on the relationships between the stand characteristics was derived from sample plots measured in the national forest inventory of Finland. A total of 1,500 Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) H. Karst), and birch (Betula sp.) stands, each comprising 100 trees were provided by simulation.

In the second part, models predicting the form factor, timber assortment distribution, and value of the growing stock were derived through regression analysis for each species of tree. The predicting variables included the form factor of the basal area median tree, basal area median diameter, and height in the form factor models. In the timber assortment and value models, the only predicting variable was the volume of the basal area median tree. The Matchcurve-technique (Jensen 1973) was employed in derivation of the regression models.

The PDF includes a summary in English.

  • Kilkki, E-mail: pk@mm.unknown (email)
  • Siitonen, E-mail: ms@mm.unknown

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