Estimating annual harvest of American Woodcock (Scolopax minor) in the United States during 1964-2016: data, model code, and supplemental estimates
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View StatisticsCollection period
1964
2016
2016
Date completed
2019-07-08
Date updated
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Geographic coverage
Source information
U.S. Fish and Wildlife Service, Harvest Surveys, Harvest Information Program
U.S. Fish and Wildlife Service, Harvest Surveys, Parts Collection Survey
U.S. Fish and Wildlife Service, Harvest Surveys, Duck Stamp Sales Database
U.S. Fish and Wildlife Service, Harvest Surveys, Parts Collection Survey
U.S. Fish and Wildlife Service, Harvest Surveys, Duck Stamp Sales Database
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Journal ISSN
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Title
Estimating annual harvest of American Woodcock (Scolopax minor) in the United States during 1964-2016: data, model code, and supplemental estimates
Published Date
2019-07-09
Author Contact
Arnold, Todd W.
arnol065@umn.edu
arnol065@umn.edu
Type
Dataset
Field Study Data
Observational Data
Statistical Computing Software Code
Field Study Data
Observational Data
Statistical Computing Software Code
Abstract
Harvest of American woodcock (Scolopax minor) in the United States has been estimated using two different hunter surveys: 1) the Duck Stamp Survey (DSS, 1964-2001), which estimated harvest by hunters who also hunted ducks or geese and purchased a Federal Migratory Bird Hunting (“Duck”) Stamp, but failed to survey hunters who did not purchase Duck Stamps (which were not required for hunting woodcock); and 2) the Harvest Information Program (HIP, 1999-2019), which was initiated in 1999 and designed to survey nearly all hunters who targeted woodcock. The two surveys overlapped during only 3 years (1999-2001), and in most states, the HIP survey estimated much higher woodcock harvest based on its more complete sampling frame of woodcock hunters. We developed Bayesian hierarchical models to use combined data streams to estimate total harvest during 1964-2016 (Arnold 2019) or 1964-2013 (Saunders et al. 2019) in the Eastern and Central Management Units by estimating unobserved harvest by hunters who never or only occasionally hunted waterfowl. Both approaches used annual Duck Stamp sales as a covariate to assess annual participation by hunters who occasionally hunted waterfowl, and also used the 3 overlap years (1999-2001) to estimate harvest by hunters who never hunted waterfowl. However, our approaches differed in how we assessed participation by occasional waterfowl hunters: 1) as residuals from splines fit to long-term duck stamp sales (Arnold 2019), which posited a smooth change in total waterfowl hunters through time, with residuals reflecting short-term participation or non-participation in waterfowl hunting, or 2) relative to maximum annual duck stamp sales (Saunders et al. 2019), which posited a constant number of potential waterfowl hunters in each state (max stamp sales), but with annual changes in relative participation in waterfowl hunting corresponding to yearly stamp sales. Our estimates were remarkably similar for combined harvest in the Central Management Unit, but diverged substantially for the Eastern Management Unit. We have no way of assessing which set of assumptions is closer to the truth, and present both models here in hopes that future researchers will continue to refine our methods to produce even more robust estimates of historical woodcock harvest.
Description
These files provide model code and data used to estimate national, regional, and state-specific harvest of American woodcock by U.S. hunters during 1964-2016. Details can be found in the readme file, R code files, and associated publications.
Referenced by
Saunders, S. P., M. T. Farr, A. D. Wright, C. A. Bahlai, J. W. Ribeiro, Jr., S. Rossman, A. L. Sussman, T. W. Arnold, and E. F. Zipkin. 2019. Disentangling data discrepancies and deficiencies with integrated population models. Ecology e02714.
https://doi.org/10.1002/ecy.2714
Arnold, T. W. (2019). A Bayesian hierarchical model for estimating American woodcock harvest. Proceedings of the 11th American Woodcock Symposium. University of Minnesota Libraries Press.
https://doi.org/10.24926/AWS.0106
https://doi.org/10.1002/ecy.2714
Arnold, T. W. (2019). A Bayesian hierarchical model for estimating American woodcock harvest. Proceedings of the 11th American Woodcock Symposium. University of Minnesota Libraries Press.
https://doi.org/10.24926/AWS.0106
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Funding information
U.S. Fish and Wildlife Service, Webless Migratory Game Bird Research and Management Program.
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Previously Published Citation
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Suggested citation
Arnold, Todd W.; Farr, Matthew T.; Wright, Alexander D.; Saunders, Sarah P.. (2019). Estimating annual harvest of American Woodcock (Scolopax minor) in the United States during 1964-2016: data, model code, and supplemental estimates. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/hhw2-mr60.
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Description
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Arnold_AMWO_harvest.R
R and JAGS code for Arnold 2019
(42.89 KB)
Saunders_et_al_AMWO_harvest.R
R and JAGS code for Saunders et al. 2019
(10.78 KB)
DSS.csv
Harvest estimates from Duck Stamp Survey
(7.07 KB)
HIP.csv
Harvest estimates from HIP
(3.13 KB)
HIP_var.csv
Variance estimates from HIP survey
(6.28 KB)
Stamps.csv
Annual duck stamp sales
(10.08 KB)
Harvest_model_data.Rda
Data used for Saunders et al analysis
(12.06 KB)
Arnold_harvest_estimates.csv
Predicted harvest from Arnold 2019
(9.92 KB)
Arnold_harvest_estimates_SD.csv
SD of harvest estimates, Arnold 2019
(9.33 KB)
Saunders_harvest_estimates.csv
Predicted harvest from Saunders et al. 2019
(5.58 KB)
Saunders_harvest_estimates_SD.csv
SD of harvest estimates, Saunders et al. 2019
(5.06 KB)
Central_Eastern_harvest.jpeg
Comparison of harvest estimates, Arnold vs. Saunders et al.
(328.06 KB)
Readme.txt
Readme file
(37.81 KB)
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