Assessment of bias in US waterfowl harvest estimates

Context. North American waterfowl managers have long suspected that waterfowl harvest estimates derived from national harvest surveys in the USA are biased high. Survey bias can be evaluated by comparing survey results with like estimates from independent sources.Aims. We used band-recovery data to...

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Published in:Wildlife Research
Main Authors: Paul I. Padding, J. Andrew Royle
Format: Text
Language:English
Published: CSIRO Publishing 2012
Subjects:
Online Access:https://doi.org/10.1071/WR11105
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spelling ftbioone:10.1071/WR11105 2024-06-02T08:04:35+00:00 Assessment of bias in US waterfowl harvest estimates Paul I. Padding J. Andrew Royle Paul I. Padding J. Andrew Royle world 2012-05-03 text/HTML https://doi.org/10.1071/WR11105 en eng CSIRO Publishing doi:10.1071/WR11105 All rights reserved. https://doi.org/10.1071/WR11105 Text 2012 ftbioone https://doi.org/10.1071/WR11105 2024-05-07T00:49:46Z Context. North American waterfowl managers have long suspected that waterfowl harvest estimates derived from national harvest surveys in the USA are biased high. Survey bias can be evaluated by comparing survey results with like estimates from independent sources.Aims. We used band-recovery data to assess the magnitude of apparent bias in duck and goose harvest estimates, using mallards (Anas platyrhynchos) and Canada geese (Branta canadensis) as representatives of ducks and geese, respectively.Methods. We compared the number of reported mallard and Canada goose band recoveries, adjusted for band reporting rates, with the estimated harvests of banded mallards and Canada geese from the national harvest surveys. We used the results of those comparisons to develop correction factors that can be applied to annual duck and goose harvest estimates of the national harvest survey.Key results. National harvest survey estimates of banded mallards harvested annually averaged 1.37 times greater than those calculated from band-recovery data, whereas Canada goose harvest estimates averaged 1.50 or 1.63 times greater than comparable band-recovery estimates, depending on the harvest survey methodology used.Conclusions. Duck harvest estimates produced by the national harvest survey from 1971 to 2010 should be reduced by a factor of 0.73 (95% CI = 0.71–0.75) to correct for apparent bias. Survey-specific correction factors of 0.67 (95% CI = 0.65–0.69) and 0.61 (95% CI = 0.59–0.64) should be applied to the goose harvest estimates for 1971–2001 (duck stamp-based survey) and 1999–2010 (HIP-based survey), respectively.Implications. Although this apparent bias likely has not influenced waterfowl harvest management policy in the USA, it does have negative impacts on some applications of harvest estimates, such as indirect estimation of population size. For those types of analyses, we recommend applying the appropriate correction factor to harvest estimates. Text Branta canadensis Canada Goose BioOne Online Journals Canada Wildlife Research 39 4 336
institution Open Polar
collection BioOne Online Journals
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language English
description Context. North American waterfowl managers have long suspected that waterfowl harvest estimates derived from national harvest surveys in the USA are biased high. Survey bias can be evaluated by comparing survey results with like estimates from independent sources.Aims. We used band-recovery data to assess the magnitude of apparent bias in duck and goose harvest estimates, using mallards (Anas platyrhynchos) and Canada geese (Branta canadensis) as representatives of ducks and geese, respectively.Methods. We compared the number of reported mallard and Canada goose band recoveries, adjusted for band reporting rates, with the estimated harvests of banded mallards and Canada geese from the national harvest surveys. We used the results of those comparisons to develop correction factors that can be applied to annual duck and goose harvest estimates of the national harvest survey.Key results. National harvest survey estimates of banded mallards harvested annually averaged 1.37 times greater than those calculated from band-recovery data, whereas Canada goose harvest estimates averaged 1.50 or 1.63 times greater than comparable band-recovery estimates, depending on the harvest survey methodology used.Conclusions. Duck harvest estimates produced by the national harvest survey from 1971 to 2010 should be reduced by a factor of 0.73 (95% CI = 0.71–0.75) to correct for apparent bias. Survey-specific correction factors of 0.67 (95% CI = 0.65–0.69) and 0.61 (95% CI = 0.59–0.64) should be applied to the goose harvest estimates for 1971–2001 (duck stamp-based survey) and 1999–2010 (HIP-based survey), respectively.Implications. Although this apparent bias likely has not influenced waterfowl harvest management policy in the USA, it does have negative impacts on some applications of harvest estimates, such as indirect estimation of population size. For those types of analyses, we recommend applying the appropriate correction factor to harvest estimates.
author2 Paul I. Padding
J. Andrew Royle
format Text
author Paul I. Padding
J. Andrew Royle
spellingShingle Paul I. Padding
J. Andrew Royle
Assessment of bias in US waterfowl harvest estimates
author_facet Paul I. Padding
J. Andrew Royle
author_sort Paul I. Padding
title Assessment of bias in US waterfowl harvest estimates
title_short Assessment of bias in US waterfowl harvest estimates
title_full Assessment of bias in US waterfowl harvest estimates
title_fullStr Assessment of bias in US waterfowl harvest estimates
title_full_unstemmed Assessment of bias in US waterfowl harvest estimates
title_sort assessment of bias in us waterfowl harvest estimates
publisher CSIRO Publishing
publishDate 2012
url https://doi.org/10.1071/WR11105
op_coverage world
geographic Canada
geographic_facet Canada
genre Branta canadensis
Canada Goose
genre_facet Branta canadensis
Canada Goose
op_source https://doi.org/10.1071/WR11105
op_relation doi:10.1071/WR11105
op_rights All rights reserved.
op_doi https://doi.org/10.1071/WR11105
container_title Wildlife Research
container_volume 39
container_issue 4
container_start_page 336
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