A comparison of cost and quality of three methods for estimating density for wild pig (Sus scrofa)
Abstract
A critical element in efective wildlife management is monitoring the status of wildlife populations; however, resources to monitor wildlife populations are typically limited. We compared cost efectiveness of three common population estimation methods (i.e. non-invasive DNA sampling, camera sampling, and sampling from trapping) by applying them to wild pigs (Sus scrofa) across three habitats in South Carolina, U.S.A where they are invasive. We used mark-recapture analyses for fecal DNA sampling data, spatially-explicit capture-recapture analyses for camera sampling data, and a removal analysis for removal sampling from trap data. Density estimates were similar across methods. Camera sampling was the least expensive, but had large variances. Fecal DNA sampling was the most expensive, although this technique generally performed well. We examined how reductions in efort by method related to increases in relative bias or imprecision. For removal sampling, the largest cost savings while maintaining unbiased density estimates was from reducing the number of traps. For fecal DNA sampling, a reduction in efort only minimally reduced costs due to the need for increased lab replicates while maintaining high quality estimates. For camera sampling, efort could only be marginally reduced before inducing bias. We provide a decision tree for researchers to help make monitoringmore »
- Authors:
-
- US Dept. of Agriculture (USDA), Fort Collins, CO (United States). Animal and Plant Health Inspection Services. National Wildlife Research Center
- Savannah River Site (SRS), Aiken, SC (United States). D. B. Warnell School of Forestry and Natural Resources. Ecology Lab
- Publication Date:
- Research Org.:
- Savannah River Ecology Laboratory (SREL), Aiken, SC (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- OSTI Identifier:
- 1629990
- Grant/Contract Number:
- EM0004391
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Davis, Amy J., Keiter, David A., Kierepka, Elizabeth M., Slootmaker, Chris, Piaggio, Antoinette J., Beasley, James C., and Pepin, Kim M. A comparison of cost and quality of three methods for estimating density for wild pig (Sus scrofa). United States: N. p., 2020.
Web. doi:10.1038/s41598-020-58937-0.
Davis, Amy J., Keiter, David A., Kierepka, Elizabeth M., Slootmaker, Chris, Piaggio, Antoinette J., Beasley, James C., & Pepin, Kim M. A comparison of cost and quality of three methods for estimating density for wild pig (Sus scrofa). United States. https://doi.org/10.1038/s41598-020-58937-0
Davis, Amy J., Keiter, David A., Kierepka, Elizabeth M., Slootmaker, Chris, Piaggio, Antoinette J., Beasley, James C., and Pepin, Kim M. Thu .
"A comparison of cost and quality of three methods for estimating density for wild pig (Sus scrofa)". United States. https://doi.org/10.1038/s41598-020-58937-0. https://www.osti.gov/servlets/purl/1629990.
@article{osti_1629990,
title = {A comparison of cost and quality of three methods for estimating density for wild pig (Sus scrofa)},
author = {Davis, Amy J. and Keiter, David A. and Kierepka, Elizabeth M. and Slootmaker, Chris and Piaggio, Antoinette J. and Beasley, James C. and Pepin, Kim M.},
abstractNote = {A critical element in efective wildlife management is monitoring the status of wildlife populations; however, resources to monitor wildlife populations are typically limited. We compared cost efectiveness of three common population estimation methods (i.e. non-invasive DNA sampling, camera sampling, and sampling from trapping) by applying them to wild pigs (Sus scrofa) across three habitats in South Carolina, U.S.A where they are invasive. We used mark-recapture analyses for fecal DNA sampling data, spatially-explicit capture-recapture analyses for camera sampling data, and a removal analysis for removal sampling from trap data. Density estimates were similar across methods. Camera sampling was the least expensive, but had large variances. Fecal DNA sampling was the most expensive, although this technique generally performed well. We examined how reductions in efort by method related to increases in relative bias or imprecision. For removal sampling, the largest cost savings while maintaining unbiased density estimates was from reducing the number of traps. For fecal DNA sampling, a reduction in efort only minimally reduced costs due to the need for increased lab replicates while maintaining high quality estimates. For camera sampling, efort could only be marginally reduced before inducing bias. We provide a decision tree for researchers to help make monitoring decisions.},
doi = {10.1038/s41598-020-58937-0},
journal = {Scientific Reports},
number = 1,
volume = 10,
place = {United States},
year = {Thu Feb 06 00:00:00 EST 2020},
month = {Thu Feb 06 00:00:00 EST 2020}
}
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