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. 2018 May 22;13(5):e0197873. doi: 10.1371/journal.pone.0197873

Correction: Evaluating signals of oil spill impacts, climate, and species interactions in Pacific herring and Pacific salmon populations in Prince William Sound and Copper River, Alaska

Eric J Ward, Milo Adkison, Jessica Couture, Sherri C Dressel, Michael A Litzow, Steve Moffitt, Tammy Hoem Neher, John Trochta, Rich Brenner
PMCID: PMC5963782  PMID: 29787605

There are errors in Table 1, S1S5 Tables, and Fig 6. A coding error uses recruits per spawner as a covariate instead of using spawning biomass as a predictor of ln (recruits per spawner). The correct code produces greater uncertainty in mechanisms responsible for variability in herring recruitment. Please see the corrected Table 1, S1S5 Tables, and Fig 6 here.

Table 1. Table of delta-AIC values used for model selection (S1S5 Tables include raw values).

Model Pink Chinook Sockeye Herring
Null (productivity constant) 0 20.707 25.896 0.692
1 Ricker 'b' estimated 0.113 10.689 21.405 2.23
Ricker 'b' varies by population     10.581
EVOS      
EVOS pulse (lag 0) 2.858 13.644 11.087 4.236
EVOS press (lag 0) 1.624 1.817 12.817 4.759
EVOS pulse/recovery (lag 0) 1.205 0 13.179 4.393
EVOS pulse (lag 1) 0.98     2.027
EVOS press (lag 1) 3.052     4.965
EVOS pulse/recovery (lag 1) 2.867     5.091
EVOS pulse (lag 2) 2.9 10.877 12.395 0.597
EVOS press (lag 2) 2.793 7.926 13.28 4.316
EVOS pulse/recovery (lag 2) 2.546 7.732 13.217 3.764
Environmental      
SST (lag 0) 2.826 12.235   3.38
SST (lag 1) 0.423 13.91   3.288
SST (lag 2)     12.875
Upwelling winter (lag 1) 3.104 11.469 13.018  
Upwelling winter (lag 2) 3.085 13.425 13.202  
Upwelling spring (lag 1) 3.088      
Upwelling spring (lag 2) 2.664      
Upwelling summer (lag 1)   8.887   4.8
Upwelling summer (lag 2)   13.315   3.91
Freshwater discharge (lag 0) 2.346 13.327 12.582 0.372
Freshwater discharge (lag 1) 2.459 12.405 13.435 4.848
Juvenile competition        
Hatchery pink releases 0.304 8.311 13.14 4.97
Hatchery chum releases 2.764 11.195 13.039 1.425
Competition and predation        
Wild chum 3.071 12.778 12.518 4.629
Wild pink 2.975 9.867 11.872 0
Hatchery chum 3.095 6.464 12.93 4.172
Hatchery pink 1.488 12.391 0 1.609
Total pink run 2.106 13.84 3.5 3.106
Humpback whales       3.949

Fig 6. Gulf of Alaska freshwater discharge (Royer 1982, IMS 2016) as a driver of Pacific herring productivity.

Fig 6

Shown are (a) the total freshwater discharge (m3 s-1) and (b) log of observed age-3 recruits per spawning biomass (mt)—log(recruits/SSB)—in grey circles, and the model predicted log(recruits/SSB) using freshwater discharge as a covariate (R2 = 0.55). High discharge events correspond to reduced productivity (fewer recruits to the population as three year olds). For historical reference, the discharge time series starting in 1931 is shown in S2 Fig. R = millions of mature and immature age-3 herring, SSB = spawning stock biomass in metric tons.

There is an error in the second sentence of the first paragraph of the Results. The correct sentence is: Chinook and sockeye (Eshamy Lake and Copper River populations) exhibited strong evidence of increasing productivity at lower densities (Table 1, S1 Table), and pink salmon showed little support for the density dependent model, suggesting that variation may be better explained by other covariates (or that pink salmon escapements have been below thresholds needed to induce density dependence).

The following sentence should be included before the final sentence of the second paragraph of the Results: There was also some support for the inclusion of a pulsed EVOS effect in herring recruitment, though this model performed similarly to models with other covariates, or a simpler model without the EVOS effect included.

There is an error in the first sentence of the first paragraph of the Discussion. The correct sentence is:

We found no evidence supporting a negative EVOS impact on sockeye salmon, or pink salmon productivity, weak evidence of a slightly positive EVOS signal (in the press-recovery model) on Copper River Chinook salmon productivity, and weak evidence of a negative pulse effect on herring productivity.

There is an error in the first sentence of the third paragraph of the Discussion. The correct sentence is: In addition to the weak evidence relating herring productivity to EVOS, we also found some evidence of a negative correlation between herring productivity and freshwater discharge into the Gulf of Alaska.

Supporting information

S1 Table. Detailed results for models that only include density dependence.

Table of model selection values (AICc) comparing null models (constant productivity, or log(R/S) independent of spawners) to models that estimated density dependence via the Ricker stock-recruitment relationship. For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1).

(DOCX)

S2 Table. Detailed results for models that only include effects of EVOS.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of the EVOS event (pulse, press, pulse/recovery with various lags). All models that include an EVOS impact also include density dependence (the sockeye models with EVOS allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1). Lag-1 impacts were not considered on Chinook and sockeye, as these species generally migrate to the ocean in their second year of life.

(DOCX)

S3 Table. Detailed results for models that only include environmental covariates.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of environmental effects. All models that include environmental predictors also include density dependence (the sockeye models with environmental effects allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1). Additional details included online, https://github.com/NCEAS/pfx-covariation-pws.

(DOCX)

S4 Table. Detailed results for models that only include effects of juvenile competition.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of juvenile competition. All models with juvenile competition included also include density dependence (the sockeye models with juvenile competition allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1).

(DOCX)

S5 Table. Detailed results for models that only include effects of predation and adult competition.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of predation or adult competition on wild salmon productivity. All models with predation or adult competition included also include density dependence (the sockeye models with predation or adult competition allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1). All salmon models used the estimated total run size of adult salmon.

(DOCX)

Reference

Associated Data

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Supplementary Materials

S1 Table. Detailed results for models that only include density dependence.

Table of model selection values (AICc) comparing null models (constant productivity, or log(R/S) independent of spawners) to models that estimated density dependence via the Ricker stock-recruitment relationship. For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1).

(DOCX)

S2 Table. Detailed results for models that only include effects of EVOS.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of the EVOS event (pulse, press, pulse/recovery with various lags). All models that include an EVOS impact also include density dependence (the sockeye models with EVOS allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1). Lag-1 impacts were not considered on Chinook and sockeye, as these species generally migrate to the ocean in their second year of life.

(DOCX)

S3 Table. Detailed results for models that only include environmental covariates.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of environmental effects. All models that include environmental predictors also include density dependence (the sockeye models with environmental effects allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1). Additional details included online, https://github.com/NCEAS/pfx-covariation-pws.

(DOCX)

S4 Table. Detailed results for models that only include effects of juvenile competition.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of juvenile competition. All models with juvenile competition included also include density dependence (the sockeye models with juvenile competition allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1).

(DOCX)

S5 Table. Detailed results for models that only include effects of predation and adult competition.

Table of model selection values (AICc) comparing models without covariates (i.e. models presented in S1 Table) to models that also estimate an impact of predation or adult competition on wild salmon productivity. All models with predation or adult competition included also include density dependence (the sockeye models with predation or adult competition allowed density dependence to vary by population). For each species, the best model and all models within 1 log-likelihood unit are highlighted in bold (the best model only being defined for this particular table—all results are included in Table 1). All salmon models used the estimated total run size of adult salmon.

(DOCX)


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