Literature DB >> 28003458

Correction to 'Blood does not buy goodwill: allowing culling increases poaching of a large carnivore'.

Guillaume Chapron, Adrian Treves.   

Abstract

Entities:  

Year:  2016        PMID: 28003458      PMCID: PMC5204176          DOI: 10.1098/rspb.2016.2577

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


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We recently discovered an error in [1] due to a misalignment of rows between columns in the dataset. Specifically, we misaligned by 1 year the population size with the number of wolves culled and the policy signal. The correct results are slightly different than the ones we presented: the effect we report becomes slightly stronger and some parameters see minor adjustments of their posterior values. The conclusion of our paper is still supported by the correct results. The correct results indicate that with no culling policy signal, the annual potential growth rate was r = 0.17 ± 0.02 95% credible interval (CI) = 0.13–0.21 in Wisconsin (r = 0.15 ± 0.02 95% CI = 0.11–0.19 in Michigan). However, with a year-long culling policy signal, we found annual growth rate had a 92% probability to be lower (figure 1 in this article) with r = 0.12 ± 0.03 95% CI = 0.06–0.18 in Wisconsin (r = 0.10 ± 0.03 95% CI = 0.04–0.16 in Michigan). Corrected prior and posterior values for all model parameters are given in table 1. In the electronic supplementary material, we provide a commented R code with both the mis-aligned and the properly aligned datasets so that the reader can replicate both the original results and the corrected ones. Running this code requires the software JAGS [2] with the package R2jags [3].
Figure 1.

The posterior density distribution shows a decline of growth rate is 12 times more likely (light grey area) than an increase (dark grey area).

Table 1.

Prior and posterior values for the dynamic model parameters.

prior choiceposterior distribution
median ± s.d.95% credible interval
population dynamic
0.06 ± 0.020.03–0.09
1.06 ± 0.070.92–1.2
0.17 ± 0.020.13–0.21
0.15 ± 0.020.11–0.19
−0.05 ± 0.03−0.12–0.02
4.38 ± 3.30.17–12.29
5.53 ± 4.40.23–16.42
0.97 ± 0.020.93–1
1.03 ± 0.021–1.08
91.10 ± 6.1579.43–103.57
92.06 ± 7.478.15–107.39
The posterior density distribution shows a decline of growth rate is 12 times more likely (light grey area) than an increase (dark grey area). Prior and posterior values for the dynamic model parameters. Two other typographical errors were not detected during the proof process. was the proportion (and not the number) of days that culling was allowed in state S during year t. The equation describing area as a linear function of population size should indicate we took the logarithm of area: which explains the very small (but positive) values for .
  1 in total

1.  Blood does not buy goodwill: allowing culling increases poaching of a large carnivore.

Authors:  Guillaume Chapron; Adrian Treves
Journal:  Proc Biol Sci       Date:  2016-05-11       Impact factor: 5.349

  1 in total
  10 in total

1.  Reply to comment by Pepin et al. 2017.

Authors:  Guillaume Chapron; Adrian Treves
Journal:  Proc Biol Sci       Date:  2017-03-22       Impact factor: 5.349

2.  Reply to comments by Olson et al. 2017 and Stien 2017.

Authors:  Guillaume Chapron; Adrian Treves
Journal:  Proc Biol Sci       Date:  2017-11-29       Impact factor: 5.349

3.  Blood may buy goodwill: no evidence for a positive relationship between legal culling and poaching in Wisconsin.

Authors:  Audun Stien
Journal:  Proc Biol Sci       Date:  2017-11-29       Impact factor: 5.349

4.  Flawed analysis and unconvincing interpretation: a comment on Chapron and Treves 2016.

Authors:  Erik R Olson; Shawn M Crimmins; Dean E Beyer; Daniel R MacNulty; Brent R Patterson; Brent A Rudolph; Adrian P Wydeven; Timothy R Van Deelen
Journal:  Proc Biol Sci       Date:  2017-11-29       Impact factor: 5.349

5.  Hallmarks of science missing from North American wildlife management.

Authors:  Kyle A Artelle; John D Reynolds; Adrian Treves; Jessica C Walsh; Paul C Paquet; Chris T Darimont
Journal:  Sci Adv       Date:  2018-03-07       Impact factor: 14.136

6.  Gray wolf mortality patterns in Wisconsin from 1979 to 2012.

Authors:  Adrian Treves; Julia A Langenberg; José V López-Bao; Mark F Rabenhorst
Journal:  J Mammal       Date:  2017-02-02       Impact factor: 2.416

7.  Uncertainty and precaution in hunting wolves twice in a year.

Authors:  Adrian Treves; Naomi X Louchouarn
Journal:  PLoS One       Date:  2022-03-16       Impact factor: 3.240

8.  Liberalizing the killing of endangered wolves was associated with more disappearances of collared individuals in Wisconsin, USA.

Authors:  Francisco J Santiago-Ávila; Richard J Chappell; Adrian Treves
Journal:  Sci Rep       Date:  2020-08-17       Impact factor: 4.379

9.  Quantifying the effects of delisting wolves after the first state began lethal management.

Authors:  Adrian Treves; Francisco J Santiago-Ávila; Karann Putrevu
Journal:  PeerJ       Date:  2021-07-05       Impact factor: 2.984

10.  Poaching of protected wolves fluctuated seasonally and with non-wolf hunting.

Authors:  Francisco J Santiago-Ávila; Adrian Treves
Journal:  Sci Rep       Date:  2022-02-02       Impact factor: 4.379

  10 in total

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