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Analysis framework for developing regenerative standards relative to forest management objectives Farnden, Craig
2007
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Abstract: Efforts to derive effective regeneration standards for aspen-spruce mixedwoods, for example, have been stymied by several factors including uncertainty in stand level targets, diverse professional opinion, the lack of an effective survey methodology and weak links to growth & yield models. It is proposed that some of these issues can be addressed through the development of an analysis framework, the core of which is a stand level silviculture survey simulator. Such a model would start with a known population of juvenile trees, and test various survey methodologies for their ability to accurately describe that population. The same population of trees could then be repeatedly sub-sampled to generate treelists compatible with various existing growth models. Growth simulations on these treelists could provide strong indications of whether or not the cumulative conditions within a particular stand would satisfy the stated objectives (i.e. Stand Types). When linked with results from survey simulations, tests could be conducted for easily measured juvenile stand conditions that are highly correlated to factors affecting success in achieving stand level objectives. In this way, threshold conditions between acceptable and unacceptable outcomes could be identified that would form the basis of defensible regeneration standards. The project will be completed by Craig Farnden RPF. Craig is a forester with 20 years of experience in silviculture and growth & yield. He has worked extensively with several growth & yield models, and has developed several useful G&Y-based decision support tools for silviculturists. He will be undertaking this work as part of his PhD work as a graduate student at UBC under the supervision of Dr. Bruce Larson. Craig Farnden.
 
Farnden, Craig. 2007. Analysis framework for developing regenerative standards relative to forest management objectives. Forest Investment Account (FIA) - Forest Science Program. Forest Investment Account Report. FIA2007MR146
 
Topic: FLNRORD Research Program
Keywords: Forest, Investment, Account, (FIA), Forest, Reproduction
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