1999
DOI: 10.1111/j.1748-7692.1999.tb00815.x
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MONITORING THE TREND OF HARBOR SEALS IN PRINCE WILLIAM SOUND, ALASKA, AFTER THE EXXON VALDEZ OIL SPILL

Abstract: We used aerial counts to monitor the trend in numbers of harbor seals, Phoca vitulina richardsi, in Prince William Sound, Alaska, following the 1989 Exxon Valdez oil spill. Repetitive counts were made at 25 haul‐out sites during the annual molt period each year from 1990 through 1997. A generalized linear model indicated that time of day, date, and time relative to low tide significantly affected seal counts. When Poisson regression was used to adjust counts to a standardized set of survey conditions, results … Show more

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Cited by 106 publications
(113 citation statements)
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“…However declines in abundance have also been observed in many areas and have been attributed to recruitment failure, competition for resources, disturbance and disease (Frost et al 1999, Thompson et al 2001, Matthews and Pendleton 2006, Lonergan et al 2007. Predicting the potential long-term effects of disease such as Phocine Distemper Virus (PDV) on harbour seal populations requires information on pre-epizootic population trajectories (Harding et al 2002, Lonergan andHarwood 2003).…”
Section: National Monitoring Programmementioning
confidence: 99%
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“…However declines in abundance have also been observed in many areas and have been attributed to recruitment failure, competition for resources, disturbance and disease (Frost et al 1999, Thompson et al 2001, Matthews and Pendleton 2006, Lonergan et al 2007. Predicting the potential long-term effects of disease such as Phocine Distemper Virus (PDV) on harbour seal populations requires information on pre-epizootic population trajectories (Harding et al 2002, Lonergan andHarwood 2003).…”
Section: National Monitoring Programmementioning
confidence: 99%
“…Index site counts provide the opportunity to simultaneously collect covariate information, useful for enhancing aerial survey design and accuracy of population estimates. The influence of environmental covariates on estimates of population trend has been shown to be substantial and thus biologically significant (Frost et al 1999, Olesiuk 1999, Adkison et al 2003, Small et al2003 and it is recommended that covariates are integrated into abundance estimates ) and trend analyses to produce more accurate trend estimates required for the management of harbour seals. The use of mean or maximum counts by site without covariate correction can lead to a substantial bias and low power in trend determination (Adkison et al 2003).…”
Section: National Monitoring Programmementioning
confidence: 99%
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“…The influence of covariates on estimates of harbour seal population trend has been found to be substantial (Frost et al 1999, Olesiuk 1999. Statistical models of the relationship between survey counts and environmental conditions at haulout sites have proven useful in enhancing survey design and improving the accuracy of population abundance estimates and trend analyses by adjusting counts to a standard set of environmental conditions (Watts 1996, Frost et al 1999, Adkinson et al 2003. The data that these previous models were based on were collected over a relatively short part of the annual cycle, during the breeding or moult periods namely, none of the studies to date looked at the full annual cycle.…”
Section: Harbour Seals In the North Atlantic And The Balticmentioning
confidence: 99%
“…Understanding the effects of covariates on seal haul-out behaviour and therefore numbers at haul-out sites helps to enhance the design of surveys. Covariates can be factored into the statistical analyses to improve the accuracy of population and trend estimates (Frost et al 1999, Adkison et al 2003.…”
Section: Introductionmentioning
confidence: 99%