The Species at Risk (SAR) Database is a site-series based management tool developed specifically for the Biogeoclimatic Ecosystem Classification (BEC) variants within a particular Timber Supply Area (TSA). The key functions of the database are:
1) to alert forest planners and operators of the potential occurrence of Species at Risk (SAR) within specific BEC variants, within a TSA of interest, and
2) to provide habitat management guides specific to that particular variant within the selected TSA.
Automated in MS Access, the SAR database has been structured to provide both detailed information for office use and summarized management information in the form of a field card. The field card provides both the identifier features for a particular variant, and a management guide for each SAR.
The potential occurrence of a SAR within a particular variant is established through the identification of that species? habitat capability (terrain) and suitability (forest cover or grassland characteristics, depending on the species). If the unique suite of requisite features indicated on the field card are present, the indicated management guide is then followed, directing the user with a set of cover features that should be retained and how (partial cut versus clearcut with reserves, WTP or reserve design, access development, etc), where possible.
To date, the database has been expanded to include SAR and BEC variants in the Queen Charlotte Islands, Sunshine Coast, Mid-Coast, and Arrowsmith TSAs, with upgrades made to Okanagan, Kamloops, Arrow, Revelstoke, and Golden TSAs. Expanding the database has involved adding new variants and populating the database with additional SAR relevant to those variants, as well as expanding relevant entries for existing SAR to where they occur in the new added variants. Only forest ecosystem variants have been updated; grassland phases and variants will require upgrades and/or inclusion at another time.
van Woudenberg, Astrid M.. 2010. Species At Risk (SAR) Database project. Forest Investment Account (FIA) - Forest Science Program. Forest Investment Account Report. FIA2010MR106
Topic: FLNRORD Research Program
Keywords: Forest, Investment, Account, (FIA), Land, Base, Investment, Program
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