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A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
2024/1/19
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to p...
A STELLA-Based Model to Simultaneously Predict Hydrological Processes, N Uptake and Biomass Production in a Eucalyptus Plantation
biomass eucalyptus N uptake STELLA model water use
2023/12/21
Eucalyptus is one of the fastest growing hardwoods for bioenergy production. Currently, few modeling tools exist to simultaneously estimate soil hydrological processes, nitrogen (N) uptake, and biomas...
Innovative approaches in forest management – the application of a business model to designing a small-scale forestry strategy
resources innovation rural economy competitive advantage business opportunities extended business model CANVAS
2018/3/6
The strong market competition forces forest owners to find innovative approaches to forest management, and business
models are becoming integral parts of successful innovations and business strategie...
Natural forest regeneration in spruce monocultures in the Ukrainian Beskids - prognosis by FORKOME model
Norway spruce beech computer model FORKOME
2015/3/6
This paper presents the results of investigations on natural forest regeneration in Norway spruce (Picea abies L. Karst.) monocultures in the Ukrainian Beskids with the use of FORKOME model prognostic...
Optimization of digital terrain model for its application in forestry
digital terrain model geographic information system
2015/3/3
Digital terrain model (DTM) represents a very important geospatial data type. In the Czech Republic, the
most common digital contour data sources are the Primary Geographic Data Base (ZABAGED), the ...