Literature DB >> 29787605

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.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0172898.].

Entities:  

Year:  2018        PMID: 29787605      PMCID: PMC5963782          DOI: 10.1371/journal.pone.0197873

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


There are errors in Table 1, S1–S5 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, S1–S5 Tables, and Fig 6 here.
Table 1

Table of delta-AIC values used for model selection (S1–S5 Tables include raw values).

ModelPinkChinookSockeyeHerring
Null (productivity constant)020.70725.8960.692
1 Ricker 'b' estimated0.11310.68921.4052.23
Ricker 'b' varies by population  10.581
EVOS   
EVOS pulse (lag 0)2.85813.64411.0874.236
EVOS press (lag 0)1.6241.81712.8174.759
EVOS pulse/recovery (lag 0)1.205013.1794.393
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)2.910.87712.3950.597
EVOS press (lag 2)2.7937.92613.284.316
EVOS pulse/recovery (lag 2)2.5467.73213.2173.764
Environmental   
SST (lag 0)2.82612.235 3.38
SST (lag 1)0.42313.91 3.288
SST (lag 2)  12.875
Upwelling winter (lag 1)3.10411.46913.018 
Upwelling winter (lag 2)3.08513.42513.202 
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)2.34613.32712.5820.372
Freshwater discharge (lag 1)2.45912.40513.4354.848
Juvenile competition    
Hatchery pink releases0.3048.31113.144.97
Hatchery chum releases2.76411.19513.0391.425
Competition and predation    
Wild chum3.07112.77812.5184.629
Wild pink2.9759.86711.8720
Hatchery chum3.0956.46412.934.172
Hatchery pink1.48812.39101.609
Total pink run2.10613.843.53.106
Humpback whales   3.949
Fig 6

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

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.

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

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.

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) Click here for additional data file.

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) Click here for additional data file.

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) Click here for additional data file.

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) Click here for additional data file.

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) Click here for additional data file.
  1 in total

1.  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.

Authors:  Eric J Ward; Milo Adkison; Jessica Couture; Sherri C Dressel; Michael A Litzow; Steve Moffitt; Tammy Hoem Neher; John Trochta; Rich Brenner
Journal:  PLoS One       Date:  2017-03-15       Impact factor: 3.240

  1 in total

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