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Covariate Adjustments to Effective Area in Variable-Area Wildlife Surveys
Fred L. Ramsey, Valerie Wildman and John Engbring
Vol. 43, No. 1 (Mar., 1987), pp. 1-11
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2531943
Page Count: 11
You can always find the topics here!Topics: Area surveys, Maximum likelihood estimation, Density estimation, Least squares, Biometrics, Statistical estimation, Estimators, Birds, Wildlife management, Wildlife population estimation
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The problem is that of adjusting estimates of effective area surveyed in line transect or variable circular plot wildlife surveys for covariates that are known to influence detectability. We present a model where this can be accomplished within a general linear models framework (Nelder and Wedderburn, 1982, Journal of the Royal Statistical Society, Series A 135, 370-384). The model treats effective area as a scale parameter for detection areas, and uses the logarithm of effective area as a link to the covariates. Maximum likelihood results are presented along with least squares estimates that provide good starting values for iterative searches. We apply the methodology to a situation arising in an avian survey of Saipan Island.
Biometrics © 1987 International Biometric Society