The California Spotted Owl

The California Spotted Owl
Author:
Publisher:
Total Pages: 306
Release: 1992
Genre: Spotted owl
ISBN:


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The California Spotted Owl

The California Spotted Owl
Author: Jared Verner
Publisher: DIANE Publishing
Total Pages: 300
Release: 1994
Genre:
ISBN: 9780788103612


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Covers: an assessment of the current status of the California spotted owl, its biology and habitat use, and forests where the subspecies occurs in the Sierra Nevada and southern California. Suggests the direction of future inventories and research, identifies projected trends in habitat, and offers guidelines and recommendations for management of the California spotted owl. Charts, tables, graphs and color photos.

Estimating the Occupancy of Spotted Owl Habitat Areas by Sampling and Adjusting for Bias

Estimating the Occupancy of Spotted Owl Habitat Areas by Sampling and Adjusting for Bias
Author: David L. Azuma
Publisher:
Total Pages: 16
Release: 1990
Genre: Spotted owl
ISBN:


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A basic sampling scheme is proposed to estimate the proportion of sampled units (Spotted Owl Habitat Areas (SOHAs) or randomly sampled 1000-acre polygon areas (RSAs)) occupied by spotted owl pairs. A bias adjustment for the possibility of missing a pair given its presence on a SOHA or RSA is suggested. The sampling scheme is based on a fixed number of visits to a sample unit (a SOHA or RSA) in which the occupancy is to be determined. Once occupancy is determined, or the maximum number of visits is reached, the sampling is completed for that unit. The resulting data are summarized as a set of independent Bernoulli trials; a zero (no occupancy) or one (occupancy) is recorded for each unit. The occupancy proportion is the sum of these Bernoulli trials divided by the sample size. The bias adjustment estimates this occupancy proportion for the estimated number of units on which a pair of owls was present but not detected. The bias adjustment requires the recording of the number of the visit during which occupancy was first detected. The distributional assumptions are checked with five different sets of data.