Document Details

2009 Forest Songbird and Woodpecker Monitoring in the Prince George Forest District and TFL 30
Cooper Beauchesne and Associates Ltd.
Forest songbird and woodpecker populations have been monitored within the Prince George Forest District (PGFD) and TFL 30 by Canadian Forest Products Ltd. (Canfor) since 2006. Long-term monitoring of these species is being used by Canfor to assess biological diversity within forested habitats, with a long-term goal of maintaining current populations of songbirds (Canfor 2008). This report documents the fourth year of avian monitoring within the PGFD and TFL 30. In June and July 2009, 556 point count stations, on 20 roadside transects, were surveyed throughout the PGFD. As in years past, detections of songbirds and woodpeckers through point count surveys were geo-referenced with Vegetation Resource Inventory (VRI) data which is generated as part of Canfor?s operations. Logistic regression models were used to determine which habitat attributes were different between polygons with and without detections of 26 of the most common songbirds found within the study area, including the nationally Threatened Olive-sided Flycatcher. As well, analysis of Species Richness (S) and Shannon Diversity Index (?H) among transects are provided. Twelve species examined were detected more frequently in at least one habitat type than another. Six of the species were found more often in forested areas than non-treed or cutblock areas, and six were found more frequently in non-treed or cutblock areas than forested polygons. Of 24 bird species examined, 17 showed a significant correlation between detection within forested polygons and stand attributes (hardwood content, canopy closure, and tree height). Height was the most frequently significant variable to predict songbird detection within polygons, with most species detected more frequently in stands with taller trees. This research is focused primarily upon monitoring songbird and woodpecker populations within the PGFD and TFL 30. These first four years have endeavored to build a database which will be sufficient to begin trend analyses of changes in bird populations in response to measured changes in forest attributes caused by forest management. In future years, multi-year analyses will be necessary to accomplish this goal. Identifying habitat attributes associated with species detection will help direct management efforts to maintain passerine species diversity upon the landscape.
Report Number
Wildlife data summary report
Final report

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