Evidence map›Paper›PMID 30135609›Full record

ArticleJournal of mammalogy2017

Mismeasured mortality: correcting estimates of wolf poaching in the United States.

Adrian Treves, Kyle A Artelle, Chris T Darimont, David R Parsons

Abstract read
In one paragraph

Article in Journal of mammalogy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  13. Differentiating between regulation and hunting as conservation interventions.Conservation biology : the journal of the Society for Conservation Biology · 2019
    Article
  14. Article
  15. Reply to comments by OlsonProceedings. Biological sciences · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adrian TrevesNelson Institute for Environmental Studies, University of Wisconsin-Madison, 30A Science Hall, 550 North Park Street, Madison, WI 53706, USA (AT).ORCID 0000-0002-3052-4708
Kyle A ArtelleEarth2Ocean Research Group, Department of Biological Sciences, Simon Fraser University , 8888 University Drive, Burnaby, British Columbia V5A 1S6, and Hakai Institute and Raincoast Conservation Foundation, Canada (KAA).
Chris T DarimontDepartment of Geography, University of Victoria, P.O. Box 1700, Stn CSC, Victoria, British Columbia V8W 2Y2, and Hakai Institute and Raincoast Conservation Foundation, Canada (CTD).
David R ParsonsProject Coyote, 2723 Decker Avenue NW, Albuquerque, NM 87107, USA (DRP).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring rates and causes of mortalities is important in animal ecology and management. Observing the fates of known individuals is a common method of estimating life history variables, including mortality patterns. It has long been assumed that data lost when known animals disappear were unbiased. We test and reject this assumption under conditions common to most, if not all, studies using marked animals. We illustrate the bias for 4 endangered wolf populations in the United States by reanalyzing data and assumptions about the known and unknown fates of marked wolves to calculate the degree to which risks of different causes of death were mismeasured. We find that, when using traditional methods, the relative risk of mortality from legal killing measured as a proportion of all known fates was overestimated by 0.05-0.16 and the relative risk of poaching was underestimated by 0.17-0.44. We show that published government estimates are affected by these biases and, importantly, are underestimating the risk of poaching. The underestimates have obscured the magnitude of poaching as the major threat to endangered wolf populations. We offer methods to correct estimates of mortality risk for marked animals of any taxon and describe the conditions under which traditional methods produce more or less bias. We also show how correcting past and future estimates of mortality parameters can address uncertainty about wildlife populations and increase the predictability and sustainability of wildlife management interventions.

Indexed as

carnivoreendangered speciesillegallethal controlmark–recaptureregulated take

Identifiers

PMID30135609
PMCPMC6093422

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.