The Effectiveness of Stand-Level and Landscape-Level Variables for Explaining Bird Occurrence in an Industrial Forest

By J. Hagan, Amy L. Meehan. Forestry sciences, 2002

88 citations recorded by the source corpus.

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.

Subfields: Environmental Engineering, Insect Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/1b092949c410502e960e9804aa9cabd9120b05cc

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In Environmental Engineering

  1. C. B. Meyer
  2. Wilfried Thuiller

In Insect Science

  1. C. B. Meyer
  2. Wilfried Thuiller

In Plant Science

  1. C. B. Meyer
  2. Peter J. Clark
  3. Wilfried Thuiller
  4. F. S. Chew
  5. J. Reed

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