- Forest ecology and management
- Forest Management and Policy
- Forest Ecology and Biodiversity Studies
- Remote Sensing and LiDAR Applications
- Peatlands and Wetlands Ecology
- Plant Water Relations and Carbon Dynamics
- Seedling growth and survival studies
- Tree Root and Stability Studies
- Research in Social Sciences
- Remote Sensing in Agriculture
- Forest Biomass Utilization and Management
- Botany and Plant Ecology Studies
- Fire effects on ecosystems
- Manufacturing Process and Optimization
- Civil and Structural Engineering Research
- Weed Control and Herbicide Applications
- Forest Insect Ecology and Management
- Bioenergy crop production and management
- Engineering and Materials Science Studies
- Environmental Conservation and Management
- Genetic and phenotypic traits in livestock
- Structural Analysis of Composite Materials
- Tree-ring climate responses
- Structural Health Monitoring Techniques
- Soil Mechanics and Vehicle Dynamics
Natural Resources Institute Finland
2016-2025
Finnish Environment Institute
2002-2013
Metsähallitus (Finland)
1970
Joensuu Science Park
1970
Tieto (Norway)
1970
University of Helsinki
1970
<ja:p>The objective of this paper was to study what extent the accuracy predicted basal-area diameter distributions (DDG) could be improved by means stem number observations in advanced (HÂ >Â 10 m) stands. In Finnish forest management planning (FMP) inventory practice, is determined only young stands; older stands stand basal area used. The material consisted sixty Norway spruce (Picea abies Karst.) and ninety-one Scots pine (Pinus sylvestris L.) with birch (Betula pendula Roth B....
The great interest in continuous cover forestry (CCF) Finland has increased the need for tools to predict tree growth uneven-aged stands. Growth predictions are commonly obtained with stand simulators like MOTTI, which is primarily targeted at even-aged stands rotation (RF) Finland. aims of this study were: 1) test how existing individual models MOTTI worked Norway spruce trees growing Finland; 2) identify significant predictors if biases were detected; and 3) compile calibration diameter or...
Highlights• A parameter recovery method (PRM) was developed for forest stand inventories and compared with previously prediction methods (PPM) in Finland.• PRM the 2-parameter Weibull function provided compatibility main characteristics: stem number, basal area one of four optional mean characteristics.• comparable at its best, superior accuracy volume characteristics PPM.
<ja:p>Accurate timber assortment information is required before cuttings to optimize wood allocation and logging activities. Timber assortments can be derived from diameter-height distribution that most often predicted the stand characteristics provided by forest inventory. The aim of this study was assess compare accuracy three different pre-harvest inventory methods in predicting structure mainly Scots pine-dominated, clear-cut stands. investigated were an area-based approach (ABA) based...
Great interests in silver birch (Betula pendula) forests have increased an attempt to handle biodiversity and resilient forest management with more broad-leaved forests. However, up-to-date growth yield models are still needed predict the stand development future support operational planning. The objectives of this study were develop site index characteristic for plantations. Data modelling from thinning spacing experiments tree breeding trials on plantations southern central Finland....
<ja:p>The paper focused on the height structure of Scots pine saplings affected by (1) retained solitary trees or (2) a pine-dominated edge stand. The study material in and consisted ten separate regeneration areas southern Finland. In 2-m radius plots were located at 1, 3, 6 10 m distances from systematically selected, each within 20 Competition individual was modelled using ecological field theory. 24th 93rd sample percentiles used for estimating distribution two-parameter Weibull...
<ja:p>We compared different statistical methods for fitting linear regression models to a longitudinal data of breast height diameter (dbh) distributions Scots pine dominated stands on drained peatlands. The parameter prediction two parameters Johnsonâs S distribution, fitted basal-area dbh distributions, were: 1) model estimated by ordinary least squares (OLS), 2) multivariate using the seemingly unrelated approach (SUR), 3) mixed-effects with random intercept (MIX), and 4) (MSUR). aim...
<ja:p>The objective of this paper was to predict a model for describing stand structure tree heights (h) and diameters at breast height (dbh). The research material consisted data collected from 64 stands Norway spruce (Picea abies Karst.) 91 Scots pine (Pinus sylvestris L.) located in southern Finland. Both types contained birch (Betula pendula Roth B. pubescent Ehrh.) admixtures. traditional univariate approach (Model I) using the dbh distribution (Johnsonâs SB) together with curve...
Abstract The quantitative effect of pine-dominated edge stands in southern Finland on the density and growth pine saplings was addressed study. cumulative a mature stand development sapling with variable cutblock sizes also estimated. data were acquired from 10 study sites Scots current dominant height 1–6 m an adjoining middle-aged to dominated by pine. Tree level models constructed describe simulate structure stands. results indicated that dividing average regeneration area (2 ha) into...
We studied tree-level dynamics (stem slenderness and growth) in spruce- pine-dominated stands after intermediate commercial thinning of different type (low, crown normal, strict) intensity (standard extreme), for two 5-years growth periods. Thinning treatments were included modeling as numerical variables based on how they changed the stand- conditions (in terms mean diameter remaining trees basal area larger removed). Stem significantly decreased with time both species all types only...
<ja:p>Post-planting weed control methods on abandoned farmland were studied in three field trials southern Finland using a completely randomized design with four treatments and 30 to 40 replications. Mulches of 60 x cm [sheet mulch â strips plane waste plastic fibre, newspaper paper slurry, wood chips, pure fibre slurry], herbicides [i.e. glyphosate or terbuthylazine alone mixed dichlobenile applied 1 m2 spots] hoeing compared an untreated plot. The study material consisted two-year-old...
Abstract We evaluated the impacts of juvenile stand management on wood production based a nationwide scenario analysis. Measured plot-level information Finnish 11th National Forest Inventory (NFI) from stands formed initial data for To represent total 2.5 million hectares productive forest land available production, 6900 sample plots were selected. predicted development sample-plot next 100 years using Motti simulator. examined management, including early cleaning and precommercial thinning,...
The maximum size-density relationship describes site carrying capacity, i.e., the number of trees a given size that can be stocked per unit area (self-thinning line). We analysed whether self-thinning lines Norway spruce (Picea abies (L.) Karst.) and Scots pine (Pinus sylvestris L.) have remained unchanged over time in South Germany, Finland, wide climatic gradient from Central Europe up to Arctic circle. analyses are based on long-term growth yield experiments measured individual tree basis...
This thesis report attempts to improve the models for predicting forest stand structure practical use, e.g.forest management planning (FMP) purposes in Finland.Comparisons were made between Weibull and Johnson's SB distribution alternative regression estimation methods.Data used preliminary studies was local but final based on representative data.Models validated mainly terms of bias RMSE main characteristics (e.g.volume) using independent data.The bivariate SBB model mimic realistic...
In general, matrix models are commonly applied to predict tree growth for size-structured populations, whereas empirical–statistical designed based on a vast amount of field observations. From the theoretical point view, can be considered more generic since their dependency ad hoc conditions is far less prevalent than that models. On other hand, main pitfall inability include variation among individuals within size class, occasionally resulting in accurate predictions compared Thus, relevant...