Some Approaches to Accounting for Incidental Carcass Discoveries in Non-Monitored Years using the Evidence of Absence Model
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Executive Summary
We evaluate three approaches to accounting for incidental carcasses when estimating an upper bound on total mortality (๐) as ๐โ using the Evidence of Absence model (EoA; Dalthorp and others, 2017) to assess compliance with an Incidental Take Permit (ITP) (Dalthorp & Huso, 2015) under a monitoring protocol that includes formal, dedicated carcass surveys that achieve an overall detection probability of ๐๐ =0.15 in the first year, followed by 4 years with no formal monitoring but with carcasses potentially discovered incidentally by operations and maintenance crews in their normal course of activity or otherwise discovered outside the formal searches. We refer to carcasses discovered incidentally as โincidentalsโ and define ๐ฅ๐ as the count of incidentals. Similarly, we define ๐ฅ๐ as the number of carcasses found during the formal searches conducted the first year.
Suggested Citation
Dalthorp, Daniel, Rabie, Paul, Huso, Manuela, and Tredennick, Andrew, 2020, Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model: U.S. Geological Survey Open-File Report 2020-1027, 24 p., https://doi.org/10.3133/ofr20201027.
ISSN: 2331-1258 (online)
Table of Contents
- Executive Summary
- Introduction
- Three Approaches for Accounting for Incidental Carcasses
- Simulation Study
- Results
- Tables
- Conclusions
- Limitations
- References
Publication type | Report |
---|---|
Publication Subtype | USGS Numbered Series |
Title | Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model |
Series title | Open-File Report |
Series number | 2020-1027 |
DOI | 10.3133/ofr20201027 |
Year Published | 2020 |
Language | English |
Publisher | U.S. Geological Survey |
Publisher location | Reston, VA |
Contributing office(s) | Forest and Rangeland Ecosystem Science Center |
Description | iv, 22 p. |
Online Only (Y/N) | Y |
Google Analytic Metrics | Metrics page |