Investment Attractiveness of Afforestation in Canada Inclusive of Carbon Sequestration Benefits

Afforestation is one of several possible mechanisms available to sequester carbon and help reduce greenhouse gas concentrations. We have developed a spatial Monte Carlo-based simulation model, Canadian Forest Service—Afforestation Feasibility Model (CFS-AFM) to help assess the financial attractiveness of afforestation as a means of carbon storage in Canada. The model tracks five carbon pools and simulates costs and benefits of plantation investments. In this paper we simulate three afforestation scenarios that could be used in Canada; plantations using hybrid poplar, hardwoods, and softwoods with average growth rates of 14 and 6–7 m³/ha/year, respectively. The attractiveness of afforestation is driven by regional cost and plantation productivity variation and carbon price expectations. The results indicate that afforestation would be an attractive investment in many areas of the country at carbon prices of $10 per metric ton of CO₂ or higher. However, with a zero carbon price, very little afforestation would be financially viable. Thus, with low carbon price expectations, other co-benefits may be required to make afforestation more attractive to Canadian investors.     

Work-group composition as a factor in productivity and satisfaction

Work teams on production lines are usually made up at random; but the authors' research indicates that where teams are constituted on the basis of skills, higher productivity and increased job satisfaction may result.     

A Spatial Real Options Approach for Modeling Land Use Change: Assessing the Potential for Poplar Energy Plantations in Alberta

Land use change models based on historical behavior have proven useful in predicting and understanding determinants of change. Such approaches are not possible where land use change data are absent. In this paper, we develop a normative spatial model that considers option values associated with land conversion between agriculture and forestry and their differing time scales. The model is applied in a case study regarding the potential for a cellulosic biofuel industry in Alberta. Results indicate the importance of future patterns of prices in influencing decisions to switch from agriculture to bioenergy production, and suggest that cellulosic plantations are not likely to prevail over agricultural land uses. Les modèles de changement d'affectation des terres basés sur les comportements historiques se sont avérés utiles pour la prédiction et la compréhension des facteurs de changements. Ces approches sont impossibles là où les données concernant les changements d'affectation des terres sont absentes. Cet article présente un modèle normatif spatial qui tient compte des valeurs d'option associées à la conversion des terres agricoles en terres forestières et à leurs différentes échelles de temps. L'application du modèle se fait dans une étude de cas au sujet du potentiel pour une industrie du biocarburant cellulosique en Alberta. Les résultats montrent l'importance de l'influence des futures structures de prix sur le choix de passer de l'agriculture à la production de bioénergie, et suggèrent que les plantations cellulosiques ne l'emporteront pas sur les affectations agricoles des terres.