Integrating forest-based industry and forest resource modeling

Integrating Environmental, Technological and Financial Data In Forest Industry Analysis

The Self-Organizing Map (SOM) is a powerful neural network method for the analysis and visualisation of high-dimensional data. In this paper, the SOM algorithm is applied to the analysis of the technology of world paper and pulp industry. It is seen that the method can be used on environmental, technological and nancial data to produce a comprehensive view of the industry as a whole.

Integrating Forest Biodiversity Conservation and Poverty Alleviation in Local Forest-Based Enterprises: A Case Study of the Woodcarving Industry, Ghana

Integrated Mill/resource Capacity Planning in the Canadian Forest Industry

J-FOR Journal of Science & Technology for Forest Products and Processes: VOL.1, NO.2, 2011 38 To a great extent, the design of large forest products facilities has been based on the assumptions of stable future wood costs and species mix. Mill design and wood supply are dealt with as separate, although connected, calculations. This is essentially an agricultural model in which supply is availab...

Forest Resource Management

Modeling the forest transition: forest scarcity and ecosystem service hypotheses.

An historical generalization about forest cover change in which rapid deforestation gives way over time to forest restoration is called "the forest transition." Prior research on the forest transition leaves three important questions unanswered: (1) How does forest loss influence an individual landowner's incentives to reforest? (2) How does the forest recovery rate affect the likelihood of for...