The Effectiveness of Stand-Level and Landscape-Level Variables for Explaining Bird Occurrence in an Industrial Forest
Abstract:We evaluated the effectiveness of habitat variables derived at two spatial scales for explaining the presence or absence of 20 bird species at 363 point count stations in an extensive industrial forest in Maine. Sixteen stand-level (microhabitat) and seven landscape-level (within 1 km radius, or 3.14 km2) variables were used in stepwise logistic regression models to evaluate the relative roles of these two spatial scales for explaining each species' occurrence at a point count station. Species were classified as either early-successional (n = 6) or late-successional (n = 14) species for analysis. Three regressions were run for each of the 20 species: (1) stand variable only, (2) landscape variable only, and (3) stand and landscape variables combined. Regression models that included only stand-level variables averaged significantly higher model concordance scores than regression models that included only landscape variables. For 17 of 20 species, regressions that included only stand-level variables better explained the presence or absence of a species at a point than did regression that included only landscape-level variables. The presence of two species was better explained by landscape variables, and the presence of one species could not be explained by either stand- or landscape-level variables. Because many variables were positively associated with presence of some species and negatively associated with other species, management for particular stand- or landscape-level features must be preceded by a determination of which species are more important to conserve. FOR. SCI. 48(2):231–242.
Keywords: Avian; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; fragmentation; habitat loss; landscape; microhabitat; natural resource management; natural resources; wildlife
Document Type: Miscellaneous
Affiliations: 1: Senior Scientist Manomet Center for Conservation Sciences, 14 Maine Street, Suite 404, Brunswick, Maine, 04011, Phone: (207) 721-9040; Fax: (207) 721-9144 email@example.com 2: Biologist Maine Department of Inland Fisheries and Wildlife, 650 State St., Bangor, Maine, 04401, Phone: (207) 941-4483 amy.Meehan@state.me.us
Publication date: May 1, 2002
- 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.
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