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Skip to Search Results- 155Canada
- 97Forest management
- 69Sustainable forestry
- 17Canada, Alberta
- 11Forests and forestry
- 9Consumer behaviour
- 30Sustainable Forest Management Network
- 13Adamowicz, Wiktor
- 13Edmonton Social Planning Council
- 12Veeman, Michele M.
- 8Bergeron, Yves
- 7Goddard, Ellen
- 129Sustainable Forest Management Network
- 63Sustainable Forest Management Network/Project Reports (Sustainable Forest Management Network)
- 46Resource Economics and Environmental Sociology, Department of
- 25Edmonton Social Planning Council (ESPC)
- 24Resource Economics and Environmental Sociology, Department of/Working Papers (Resource Economics & Environmental Sociology)
- 23Resource Economics and Environmental Sociology, Department of/Project Reports (Resource Economics & Environmental Sociology)
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Shared responsibility: a collaborative approach to reducing HIV/AIDS transmission amongst the female inmate population. Final report.
Download1997-10-01
Edmonton Social Planning Council, Hanson Community Resources Ltd.
Submitted to Health Canada, Health Promotion and Programs Branch
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1994
Luckert, Martin K., Alavalapati, Janaki R.R., Adamowicz, Wiktor
The short-run dynamic impacts of macroeconomic variables on the Canadian pulp industry and the interactions among pulp sector variables are investigated using the vector autoregression (VAR) approach. In contrast to the findings of earlier studies, our results show that an increase in the value...
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1995
Korber, Dianne, Beckley, Thomas M.
The social context within which forest managers operate today differs dramatically from that which existed fifty, thirty, or even ten years ago. Both government (public) and corporate (private) forest management decisions are coming under increased public scrutiny. A single, dominant forest...
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Step-by-Step mixture calculations for each time interval by sampling from joint distribution of wind speed (υ) and Solar radiation (s)
Download2024-02-26
Faridpak, Behdad, Musilek, Petr
Reduction of the calculation burden of probabilistic analyses arising from numerous uncertainties by utilizing a sequence of the inner approximation. A step-by-step approach is developed, defining the Lebesgue measure as the convergence criterion for the mixture of probability distributions