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Relationships between Concentrations of Mercury in Largemouth Bass and Physical and Chemical Characteristics of Connecticut Lakes

 

作者: RobertP. Hanten,   RobertM. Neumann,   ScottM. Ward,   RobertJ. Carley,   ChristopherR. Perkins,   Robert Pirrie,  

 

期刊: Transactions of the American Fisheries Society  (Taylor Available online 1998)
卷期: Volume 127, issue 5  

页码: 807-818

 

ISSN:0002-8487

 

年代: 1998

 

DOI:10.1577/1548-8659(1998)127<0807:RBCOMI>2.0.CO;2

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Concentrations of total mercury were determined for axial muscle tissue of 438 largemouth bassMicropterus salmoidesfrom 46 lakes representing five regions in Connecticut to determine relationships between mercury concentrations and lake characteristics and to assess regional differences in mercury concentrations. Expected concentrations of mercury (EHg) predicted for a length of 356 mm for each population ranged from 0.103 to 0.795 μg/g wet weight. Principal components analysis revealed that, in general, two types of lakes were represented in the data set and were grouped based on hydrologic characteristics. Type-II lakes (artificial impoundments) had a significantly lower mean retention time than type-I lakes (natural drainage lakes) and a significantly larger mean watershed area, watershed area : surface area ratio, watershed area: lake volume ratio, and shoreline development index. MeanEHg was approximately 20% higher in type-II lakes (0.514 μ/g wet weight) than in type-I lakes (0.410 μg/g wet weight;P= 0.08); factors most strongly correlated withEHg differed between lake types. Largemouth bassEHg in type-I lakes was most strongly correlated to particulate phosphorus (r= −0.64) and conductivity (r= −0.55);EHg in type-II lakes was most strongly correlated with retention time (r= 0.76) and watershed area: lake volume ratio (r= −0.75). Stepwise multiple regression revealed that particulate P and mean depth accounted for 51% of the variability inEHg among type-I lakes. Retention time was the only variable retained in stepwise regression of type-II lakes and accounted for 57% of the variation inEHg. Largemouth bassEHg in type-I lakes was significantly different among regions, as were lake variables describing hardness, alkalinity, and productivity.

 

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