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Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China
Mercury accumulation was investigated by constructing and testing empirical equations based on mercury in soil (C (s)) and in 10 terrestrial insects (C (i)). C (s) ranged from 0.13 to 41.01 mg/kg. C (i) differed with species and the highest was found in dragonfly. C (s) and C (i) showed a good linea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374100/ https://www.ncbi.nlm.nih.gov/pubmed/22527000 http://dx.doi.org/10.1007/s00128-012-0649-0 |
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author | Zhang, Zhongsheng Song, Xiaolin Wang, Qichao Lu, Xianguo |
author_facet | Zhang, Zhongsheng Song, Xiaolin Wang, Qichao Lu, Xianguo |
author_sort | Zhang, Zhongsheng |
collection | PubMed |
description | Mercury accumulation was investigated by constructing and testing empirical equations based on mercury in soil (C (s)) and in 10 terrestrial insects (C (i)). C (s) ranged from 0.13 to 41.01 mg/kg. C (i) differed with species and the highest was found in dragonfly. C (s) and C (i) showed a good linear fit, and a simple equation was used in predicting C (i) when insects were classified into one Insecta group (r = 0.3399, p = 0.0037). The taxonomy can affect validities of empirical equations, which fit field data well when insects were grouped by feeding habits, and when grouped by species, empirical equations were suitable only for certain insects. |
format | Online Article Text |
id | pubmed-3374100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-33741002012-06-14 Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China Zhang, Zhongsheng Song, Xiaolin Wang, Qichao Lu, Xianguo Bull Environ Contam Toxicol Article Mercury accumulation was investigated by constructing and testing empirical equations based on mercury in soil (C (s)) and in 10 terrestrial insects (C (i)). C (s) ranged from 0.13 to 41.01 mg/kg. C (i) differed with species and the highest was found in dragonfly. C (s) and C (i) showed a good linear fit, and a simple equation was used in predicting C (i) when insects were classified into one Insecta group (r = 0.3399, p = 0.0037). The taxonomy can affect validities of empirical equations, which fit field data well when insects were grouped by feeding habits, and when grouped by species, empirical equations were suitable only for certain insects. Springer-Verlag 2012-04-22 2012 /pmc/articles/PMC3374100/ /pubmed/22527000 http://dx.doi.org/10.1007/s00128-012-0649-0 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Article Zhang, Zhongsheng Song, Xiaolin Wang, Qichao Lu, Xianguo Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China |
title | Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China |
title_full | Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China |
title_fullStr | Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China |
title_full_unstemmed | Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China |
title_short | Mercury Bioaccumulation and Prediction in Terrestrial Insects from Soil in Huludao City, Northeast China |
title_sort | mercury bioaccumulation and prediction in terrestrial insects from soil in huludao city, northeast china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374100/ https://www.ncbi.nlm.nih.gov/pubmed/22527000 http://dx.doi.org/10.1007/s00128-012-0649-0 |
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