Skip to main content
Proceedings of the Royal Society B: Biological Sciences logoLink to Proceedings of the Royal Society B: Biological Sciences
. 2016 Dec 28;283(1845):20162577. doi: 10.1098/rspb.2016.2577

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

Guillaume Chapron, Adrian Treves
PMCID: PMC5204176  PMID: 28003458

Proc. R. Soc. B 283, 20152939. (2016; Published online 11 May 2016) (doi:10.1098/rspb.2015.2939)

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.

Figure 1.

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

Table 1.

Prior and posterior values for the dynamic model parameters.

prior choice posterior distribution
median ± s.d. 95% credible interval
population dynamic
Inline graphic 0.06 ± 0.02 0.03–0.09
Inline graphic 1.06 ± 0.07 0.92–1.2
Inline graphic 0.17 ± 0.02 0.13–0.21
Inline graphic 0.15 ± 0.02 0.11–0.19
Inline graphic −0.05 ± 0.03 −0.12–0.02
Inline graphic 4.38 ± 3.3 0.17–12.29
Inline graphic 5.53 ± 4.4 0.23–16.42
Inline graphic
Inline graphic
0.97 ± 0.02 0.93–1
Inline graphic
Inline graphic
1.03 ± 0.02 1–1.08
Inline graphic 91.10 ± 6.15 79.43–103.57
Inline graphic 92.06 ± 7.4 78.15–107.39

Two other typographical errors were not detected during the proof process. Inline graphic 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: Inline graphic which explains the very small (but positive) values for Inline graphic.

Supplementary Material

R code of the dynamic model
rspb20162577supp1.txt (8.2KB, txt)

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

R code of the dynamic model
rspb20162577supp1.txt (8.2KB, txt)

Articles from Proceedings of the Royal Society B: Biological Sciences are provided here courtesy of The Royal Society

RESOURCES