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Bird–Habitat Relationships in Grand Fir Forests of the Blue Mountains, Oregon

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During the breeding seasons of 1994–1996, we sampled bird communities and habitat characteristics in grand fir (Abies grandis) forests of the Blue Mountains, northeastern Oregon, at the stand- and landscape-level with the objective of explaining variation in the composition and abundance of forest avifauna. We analyzed data from 77 forest stands that varied in size from 16 to 213 ha. Canonical correlation analysis (CANCOR) indicated that stand-level features accounted for more variance in the relative abundance of bird species than did landscape-level features (35 versus 14%, respectively). The most important stand-level features were overstory canopy cover, density of large-diameter live trees, and understory structure (especially herbs and shrubs). Important landscape features for predicting the abundance of species within a forest stand included stand isolation and the percentage of surrounding landscape within a 4-km radius that was occupied by forest cover. Using the information-theoretic approach to model selection and inference, we built models of bird–habitat relationships to forecast abundance of 24 species. Consistent with CANCOR results, species–specific habitat models were dominated by stand-level variables. Overstory cover was a significant predictor of abundance for 17 of 24 species modeled (71%). We conclude that in forests represented by our sample, management for most avian species can be usefully focused on within-stand dynamics of structure, but that efforts to forecast abundance of some species can be enhanced by integration of landscape metrics as well.
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Keywords: Abies grandis; Akaike's information criterion; avian abundance; breeding bird communities; forest fragmentation; forest management; habitat models; information-theoretic approach; neotropical migratory birds; stand structure

Document Type: Research Article

Publication date: 2006-10-01

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  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
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