Correction to: Black spot infection in juvenile steelhead trout increases with stream temperature in northern California

Correction to: Environ Biol Fish

  https://doi.org/10.1007/s10641-017-0599-9

The original version of this article contained two mistakes, which we detail here. First, the percent infected data for sites 6 and 7 were inadvertently switched in the published version of Table 1. The corrected version of Table 1 appears below. Second, there were four errors in the temperature data used in analyses and published in the article. The corrected changes to analyses that used these data are underlined in the following text and corrected versions of Figs. 4 and 5 (which relied on these data) are included below.

Table 1

Summary of the 7-day average daily maximum temperature (ADM, °C) and black spot infection rates (%) in young of the year steelhead trout at each site and each sampling event (n = sample size). Sites are listed in order from upstream (Site 1) to downstream (Site 7)

Site	Date	ADM	% Infected	n
1	6/5/2014	20.9	0.0	18
1	6/30/2014	20.5	8.6	35
1	8/21/2014	21.5	33.3	18
2	6/18/2014	19.5	0.0	44
2	7/7/2014	23.0	7.6	66
2	8/21/2014	21.7	36.4	11
3	6/18/2014	21.3	0.0	28
3	7/7/2014	25.2	52.0	25
3	8/21/2014	22.4	100.0	19
4	6/18/2014	21.5	0.0	45
4	6/30/2014	23.2	11.5	26
4	8/21/2014	NA	92.9	28
5	6/23/2014	21.7	6.3	16
5	7/13/2014	24.7	100.0	22
5	8/21/2014	24.7	100.0	42
6	6/30/2014	25.1	96.2	26
6	7/13/2014	25.3	87.0	25
6	8/21/2014	24.8	100.0	21
7	6/25/2014	23.1	76.5	17
7	7/13/2014	24.4	100.0	13
7	8/21/2014	23.7	100.0	11

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Third paragraph under Results:

The mixed models of the seven mainstem sampling sites revealed that both temperature and sample date are important covariates in determining the proportion of infected steelhead at each site. Temperature was significant in the first (i.e., temperature [fixed] and site [random]) model (z = 6.91, p < 0.01, AIC = 182.4). Sample date was significant in the second (i.e., sample date [fixed] and site [random]) model (z = 9.88, p < 0.01, AIC = 124.6). In the final model (temperature [fixed], sample date [fixed], and site), both fixed effects were statistically significant, and this model was associated the lowest AIC value (temperature: z = 4.71, p < 0.01, sample date: z = 7.32 p < 0.01, AIC = 94.4).