2011
DOI: 10.1007/s10646-011-0759-1
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Bi-phasic trends in mercury concentrations in blood of Wisconsin common loons during 1992–2010

Abstract: We assessed the ecological risk of mercury (Hg) in aquatic systems by monitoring common loon (Gavia immer) population dynamics and blood Hg concentrations. We report temporal trends in blood Hg concentrations based on 334 samples collected from adults recaptured in subsequent years (resampled 2-9 times) and from 421 blood samples of chicks collected at lakes resampled 2-8 times 1992-2010. Temporal trends were identified with generalized additive mixed effects models and mixed effects models to account for the … Show more

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Cited by 19 publications
(17 citation statements)
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“…Analysis of samples for total mercury (THg) occurred at several laboratories, and the authors acknowledge the possibility for inter-laboratory error in this study. However, the level of analysis error between laboratories is relatively minor in comparison to the spatial and temporal signal presented here and in companion articles (Monson et al 2011;Meyer et al 2011).…”
Section: Data Sources and Loon Unit Modelingmentioning
confidence: 70%
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“…Analysis of samples for total mercury (THg) occurred at several laboratories, and the authors acknowledge the possibility for inter-laboratory error in this study. However, the level of analysis error between laboratories is relatively minor in comparison to the spatial and temporal signal presented here and in companion articles (Monson et al 2011;Meyer et al 2011).…”
Section: Data Sources and Loon Unit Modelingmentioning
confidence: 70%
“…Yellow perch data were part of a large fish dataset from state, federal, and other sources in the Great Lakes region, developed as part of the Great Lakes Mercury Project (details on this dataset may be found in Monson et al 2011). Loon samples were analyzed as in Evers et al (1998), Evers et al (2003, and Meyer et al (2011). Only data between the years of 1990 and 2009 were included, and only perch data from fish 5-25 cm in length, which are common prey items for loons (Barr 1996).…”
Section: Data Sources and Loon Unit Modelingmentioning
confidence: 99%
“…Methylmercury concentrations are higher (e.g., Evers et al 1998) and pH is lower (e.g., Minns et al 2008) in southeastern than in southwestern Canada, which likely explains why reproductive success in this study was lower in the southeast than in the southwest. Methylmercury is increasing over time in some lakes (e.g., Meyer et al 2011) and pH is remaining stable over time in most lakes in southeastern Canada (Jefferies et al 2003a), which likely explains why reproductive success in this study decreased over time. Methylmercury concentrations are higher (e.g., Bodaly et al 1993) and pH (e.g., Eilers et al 1983) and abundance of forage fish (e.g., Piper et al 2012) are lower in smaller than in larger lakes, which likely explains why reproductive success in this study was lower in smaller than in larger lakes.…”
Section: Discussionmentioning
confidence: 77%
“…Thus, we predicted that the number of six-week-old young per pair per year would (1) decrease with increasing longitude, i.e., decrease from west-to-east, (2) decrease over time, (3) increase with increasing lake area, and (4) increase with increasing pH (e.g., McNicol et al 1995, Weeber 1999, Timmermans and Jones 2002. We further predicted that longitude × year, year × pH, and lake area × pH interactions would be important (e.g., Alvo 2009, Meyer et al 2011, Piper et al 2012, Weeber 1999. We placed our results in a demographic context by estimating whether reproductive success is sufficient to offset adult and juvenile mortality, i.e., a demographic source, which is identified as a conservation priority for the Common Loon (Evers 2007).…”
Section: Introductionmentioning
confidence: 99%
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