Millar Western Forest Products Ltd. completed its 2007-2016 detailed forest management plan for its forest management agreement area by engaging multi-discipline expertise to better manage forest values. Disciplines were formed into impact assessment groups, which were charged with developing indicators and targets for identified values and objectives and with constructing models to predict the impacts of forest management activities. Three different modeling approaches were used in developing the plan and the best results were obtained by integrating indicators directly into the forecasting model even when the indicators were simple versions of complex models. Integrating indicators into the forecasting model reduced the penalty cost on other indicators, permitted the model to find better solutions, provided almost immediate feedback to the plan development team, permitted more scenarios to be investigated, and provided a better understanding of the dynamics and tradeoffs. The other two techniques used in the DFMP involved the assessment of forecasted scenarios with more complex discipline specific models, which provided more detailed information about the indicators. Mots clés : prévision, planification de l'aménagement forestier, Patchworks, modélisation de l'aménagement forestier, analyse de l'approvisionnement en matière ligneuse, analyse des retombées, VOIT
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.