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Cooperative Forest Ecosystem Research
Predicting Post-fire Regeneration Needs: Spatial and Temporal Variation in Natural Regeneration in Southwestern Oregon and Northern California
Primary Researchers: Jeff Shatford and David E. Hibbs
Recent decades have seen an increase in the frequency and extent of wildfire in the western United States. This, along with growing budgetary constraints, has made post-fire reforestation planning an ever more frequent but difficult task for forest managers. The CFER program, with funding from the Joint Fire Science Program, has initiated a study to develop a framework to better understand and quantify natural forest regeneration following wildfire and to bring this information into the post-fire planning process. A primary goal of this study will be to develop and test a management tool that can predict the abundance of natural regenerating conifers across a range of forest types in the Klamath-Siskiyou region of southwestern Oregon and northern California. This tool will consist of a predictive model with inputs that are readily obtained from general site-level information: elevation, aspect, and distance to seed source.

There are two parts of the study’s approach to modeling post-fire conifer regeneration, which are intended to complement one another: part 1 will investigate both temporal and spatial patterns of regeneration across the region, while part 2 will provide a spatially robust, but temporally limited, analysis of natural regeneration.

Although predictions of natural regeneration will be possible across a range of environmental settings, it is not possible to eliminate uncertainty altogether. However, this work is expected to provide a useful tool that will allow land managers to weigh the trade-offs between planting and not planting, and to do so within known confidence limits.

For more information on this study, please see the 2005 CFER Annual Report.

This is a 2.5 year project. Field work for this study will continue through 2006 with analyses, report writing, and technology transfer to continue through the following year. Project completion is scheduled for November 2007.


  


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