Stand structures used by northern spotted owls in managed forests

Journal of Raptor Research

Volumn 34, Issue 3, 2000, Pages 175-186

  Irwin, L L ^a   Rock, D F ^a   Miller, G P ^a  

^a NATIONAL COUNCIL FOR AIR AND STREAM IMPROVEMENT   (United States)

Author keywords

Foraging habitat; Managed forests; Nesting habitat; Northern Spotted Owl; Oregon; Strix occidentalis caurina

Indexed keywords

FORAGING BEHAVIOR; FOREST MANAGEMENT; NEST SITE; RAPTOR; SITE SELECTION; STAND STRUCTURE;

UNITED STATES;

STRIX OCCIDENTALIS;

EID: 0033743256     PISSN: 08921016     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (46)

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13. Optimal sampling for radiotelemetry studies of Spotted Owl habitat and home-range
14. Ecological scale and forest development: Squirrels, dietary fungi, and vascular plants in managed and unmanaged forests
15. Spherical densitometers produce biased estimates of forest canopy cover
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19. Radio telemetry methods for studying Spotted Owls in the Pacific Northwest
20. An ecological basis for forest planning for biodiversity and resource use
21. Designing Spotted Owl habitat in a managed forest
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24. A process for improving wildlife habitat models for assessing forest ecosystem health
25. The comparison of usage and availability measurements for evaluating resource preference
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27. Effects of grid-cell size on tests of a Spotted Owl HSI model
28. The seen and unseen world of the fallen tree
29. Developing a practical model to predict nesting habitat of woodland hawks
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31. Interim definitions for old-growth Douglas-fir and mixed-conifer forests in the Pacific Northwest and California
32. Effects of environmental pattern on habitat preference analysis
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34. Identifying areas of concentrated use within the home range
35. Summer habitat ecology of Northern Spotted Owls in northwestern California
36. Density, ages, and growth rates in old-growth and young-growth forests in coastal Oregon
37. Habitat selection by Northern Spotted Owls: The consequences of prey selection and distribution
38. Kernel methods for estimating the utilization distribution in home-range studies
39. Using Monte Carlo simulation to evaluate kernel based home range estimators