Building public trust in compensation programs through accuracy assessments of damage verification protocols
(2017) In Biological Conservation 213. p.36-41- Abstract
Reliable verification of damage claims is fundamental to create public trust in the legitimacy of compensation programs, and avoid fraud and moral hazards. However, after decades of using this tool, transparency in verification processes and availability of quantitative information on the accuracy and misidentification rates are unresolved issues. Accurate rules overcome several challenges facing compensation programs worldwide, such as the difficulty of proving claims, lack of compensation or insufficiency of community support. Here, we tested the accuracy of the verification protocol of damage claims used in Sweden for large carnivore depredations on sheep. In Sweden, verifiers (who will determine if a livestock owner is compensated... (More)
Reliable verification of damage claims is fundamental to create public trust in the legitimacy of compensation programs, and avoid fraud and moral hazards. However, after decades of using this tool, transparency in verification processes and availability of quantitative information on the accuracy and misidentification rates are unresolved issues. Accurate rules overcome several challenges facing compensation programs worldwide, such as the difficulty of proving claims, lack of compensation or insufficiency of community support. Here, we tested the accuracy of the verification protocol of damage claims used in Sweden for large carnivore depredations on sheep. In Sweden, verifiers (who will determine if a livestock owner is compensated or not after a suspected attack) uses rules grounded on typical bite marks from each predator species on animal carcasses. Contrasted with DNA salivary analysis, verifiers correctly identified wolf and lynx as the culprit species in 86% (n = 57) and 91% (n = 11) of cases tested, respectively, and the overall accuracy in identifying a predation event was 94%. We believe that rigorous tests of current damage verification protocols are essential to show people the frequency that predation results in compensation, as well as how often other causes of livestock death or injury are erroneously interpreted as being inflicted by large carnivores. The use of DNA salivary analysis to test the accuracy of damage verification protocols is transferable to any livestock-carnivore conflict scenario worldwide, as well as to other wildlife, such as ungulates browsing on forest plantations and crops.
(Less)
- author
- López-Bao, José V. ; Frank, Jens ; Svensson, Linn ; Åkesson, Mikael LU and Langefors, Åsa LU
- organization
- publishing date
- 2017-09-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Canis lupus, Compensation programs, Conflict mitigation, DNA salivary analysis, Large carnivores, Livestock depredation, Lynx lynx, Verification protocol
- in
- Biological Conservation
- volume
- 213
- pages
- 6 pages
- publisher
- Elsevier
- external identifiers
-
- wos:000410014100006
- scopus:85030655378
- ISSN
- 0006-3207
- DOI
- 10.1016/j.biocon.2017.06.033
- language
- English
- LU publication?
- yes
- id
- 47d16ffd-54c9-4d1a-b928-af9db7e3f47c
- date added to LUP
- 2017-10-16 14:02:03
- date last changed
- 2024-04-28 21:41:44
@article{47d16ffd-54c9-4d1a-b928-af9db7e3f47c,
abstract = {{<p>Reliable verification of damage claims is fundamental to create public trust in the legitimacy of compensation programs, and avoid fraud and moral hazards. However, after decades of using this tool, transparency in verification processes and availability of quantitative information on the accuracy and misidentification rates are unresolved issues. Accurate rules overcome several challenges facing compensation programs worldwide, such as the difficulty of proving claims, lack of compensation or insufficiency of community support. Here, we tested the accuracy of the verification protocol of damage claims used in Sweden for large carnivore depredations on sheep. In Sweden, verifiers (who will determine if a livestock owner is compensated or not after a suspected attack) uses rules grounded on typical bite marks from each predator species on animal carcasses. Contrasted with DNA salivary analysis, verifiers correctly identified wolf and lynx as the culprit species in 86% (n = 57) and 91% (n = 11) of cases tested, respectively, and the overall accuracy in identifying a predation event was 94%. We believe that rigorous tests of current damage verification protocols are essential to show people the frequency that predation results in compensation, as well as how often other causes of livestock death or injury are erroneously interpreted as being inflicted by large carnivores. The use of DNA salivary analysis to test the accuracy of damage verification protocols is transferable to any livestock-carnivore conflict scenario worldwide, as well as to other wildlife, such as ungulates browsing on forest plantations and crops.</p>}},
author = {{López-Bao, José V. and Frank, Jens and Svensson, Linn and Åkesson, Mikael and Langefors, Åsa}},
issn = {{0006-3207}},
keywords = {{Canis lupus; Compensation programs; Conflict mitigation; DNA salivary analysis; Large carnivores; Livestock depredation; Lynx lynx; Verification protocol}},
language = {{eng}},
month = {{09}},
pages = {{36--41}},
publisher = {{Elsevier}},
series = {{Biological Conservation}},
title = {{Building public trust in compensation programs through accuracy assessments of damage verification protocols}},
url = {{http://dx.doi.org/10.1016/j.biocon.2017.06.033}},
doi = {{10.1016/j.biocon.2017.06.033}},
volume = {{213}},
year = {{2017}},
}