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Silva Fennica 1926-1997
Acta Forestalia Fennica

Articles containing the keyword 'even-aged stands'

Category : Article

article id 5220, category Article
Peitsa Mikola. (1984). Harsintametsätalous. Silva Fennica vol. 18 no. 3 article id 5220.
English title: Selection system in timber harvesting in Finland.
Original keywords: kuusi; metsänhoito; harsinta; eri-ikäiskasvatus; eri-ikäisrakenteinen metsä; tasaikäiskasvatus; tasa-ikäinen metsä
English keywords: forest management; Norway spruce; Picea abies; yield; Finland; selection system; even-aged stands; selection cuttings; uneven-aged stands
Abstract | View details | Full text in PDF | Author Info

This article reviews experiments and practical experience of forest management by the selection system in Finland. In an experiment of 25-year duration the annual growth of uneven-aged Norway spruce (Picea abies (L.) H. Karst.) stands was only about 50% of the average annual yield of even-aged stands in normal rotation on the same site.

In Finland the selection system is applicable under exceptional conditions only, viz. In intensively managed park stands and, on the other hand, on very marginal sites, e.g. on peat bogs and mountains near the tree-line. Even normal silviculture, however, may include cuttings which somewhat resemble selection system, e.g. removal of standards or restoration of mismanaged forests.

The PDF includes a summary in English.

  • Mikola, E-mail: pm@mm.unknown (email)

Category : Research article

article id 1406, category Research article
Tatiana V. Stankova. (2015). A dynamic whole-stand growth model, derived from allometric relationships. Silva Fennica vol. 50 no. 1 article id 1406.
Keywords: Scots pine; state-space approach; transition function; algebraic difference approach; growth projection; Base-Height-Invariant dummy variable method; even-aged stands
Highlights: A dynamic whole-stand model was derived from simple allometries and biological rationale; The state-space modelling approach was applied, suggesting several novelties to overcome scarcity of longitudinal data; The model consists of a three-dimensional state vector, defined by dominant stand height, stand density and mean stem volume, and three transition functions; It was tested with data from Scots pine plantations.
Abstract | Full text in HTML | Full text in PDF | Author Info

Growth and yield tables are constrained by a standard production regime and the stand-level dynamic models are an attractive alternative for the even-aged monospecific stands. The objective of this study is to derive a parsimonious and biologically sound whole-stand dynamic growth model and to validate its consistency and relevance for prediction of stand growth and yield. The state-space modelling approach was employed, introducing several novelties in comparison with its current usage. The model consists of a three-dimensional state vector, defined by dominant stand height, number of trees per hectare and mean stem volume, and three transition functions. A site index model was incorporated for height growth projection and transition functions for stand density and mean stem volume with respect to dominant height increase were derived from simple allometries and biological rationale. The model was examined with data from 79 permanent sample plots in Scots pine plantations. Nonlinear Seemingly Unrelated Regression was used to account for cross-equation correlations, and the Base-Height-Invariant dummy variable method was employed to estimate dynamic-form equations. Model consistency was validated in terms of accuracy of predictions and applicability to both thinned and unthinned stands. The new dynamic growth model is a parsimonious biometric whole-stand model that simulates the expected stand development for a broad spectrum of potential management alternatives and can be incorporated in a computer program for further use. It may be especially useful for application when a scarcity of longitudinal data prevents the use of more complicated modelling approaches.

  • Stankova, Forest Research Institute of Bulgarian Academy of Sciences, Department of Forest Genetics, Physiology and Plantations, 132 “St. Kliment Ohridski” Blvd., 1756 Sofia, Bulgaria ORCID E-mail: (email)

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