Literature DB >> 21166451

Regional contamination versus regional dietary differences: understanding geographic variation in brominated and chlorinated contaminant levels in polar bears.

Melissa A McKinney1, Robert J Letcher, Jon Aars, Erik W Born, Marsha Branigan, Rune Dietz, Thomas J Evans, Geir W Gabrielsen, Derek C G Muir, Elizabeth Peacock, Christian Sonne.   

Abstract

The relative contribution of regional contamination versus dietary differences to geographic variation in polar bear (Ursus maritimus) contaminant levels is unknown. Dietary variation between Alaska, Canada, East Greenland, and Svalbard subpopulations was assessed by muscle nitrogen and carbon stable isotope (δ(15)N, δ(13)C) and adipose fatty acid (FA) signatures relative to their main prey (ringed seals). Western and southern Hudson Bay signatures were characterized by depleted δ(15)N and δ(13)C, lower proportions of C(20) and C(22) monounsaturated FAs and higher proportions of C(18) and longer chain polyunsaturated FAs. East Greenland and Svalbard signatures were reversed relative to Hudson Bay. Alaskan and Canadian Arctic signatures were intermediate. Between-subpopulation dietary differences predominated over interannual, seasonal, sex, or age variation. Among various brominated and chlorinated contaminants, diet signatures significantly explained variation in adipose levels of polybrominated diphenyl ether (PBDE) flame retardants (14-15%) and legacy PCBs (18-21%). However, dietary influence was contaminant class-specific, since only low or nonsignificant proportions of variation in organochlorine pesticide (e.g., chlordane) levels were explained by diet. Hudson Bay diet signatures were associated with lower PCB and PBDE levels, whereas East Greenland and Svalbard signatures were associated with higher levels. Understanding diet/food web factors is important to accurately interpret contaminant trends, particularly in a changing Arctic.

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Year:  2010        PMID: 21166451     DOI: 10.1021/es102781b

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  6 in total

1.  Multiple-stressor effects in an apex predator: combined influence of pollutants and sea ice decline on lipid metabolism in polar bears.

Authors:  Sabrina Tartu; Roger Lille-Langøy; Trond R Størseth; Sophie Bourgeon; Anders Brunsvik; Jon Aars; Anders Goksøyr; Bjørn Munro Jenssen; Anuschka Polder; Gregory W Thiemann; Vidar Torget; Heli Routti
Journal:  Sci Rep       Date:  2017-11-28       Impact factor: 4.379

2.  Establishment of a CoMFA Model Based on the Combined Activity of Bioconcentration, Long-Range Transport, and Highest Infrared Signal Intensity and Molecular Design of Environmentally Friendly PBB Derivatives.

Authors:  Luze Yang; Minghao Li; Miao Liu
Journal:  Polymers (Basel)       Date:  2021-01-22       Impact factor: 4.329

3.  Distinct gut microbiomes in two polar bear subpopulations inhabiting different sea ice ecoregions.

Authors:  Megan Franz; Lyle Whyte; Todd C Atwood; Kristin L Laidre; Denis Roy; Sophie E Watson; Esteban Góngora; Melissa A McKinney
Journal:  Sci Rep       Date:  2022-01-11       Impact factor: 4.996

4.  Co-contaminants of microplastics in two seabird species from the Canadian Arctic.

Authors:  Roxana Sühring; Julia E Baak; Robert J Letcher; Birgit M Braune; Amila de Silva; Cody Dey; Kim Fernie; Zhe Lu; Mark L Mallory; Stephanie Avery-Gomm; Jennifer F Provencher
Journal:  Environ Sci Ecotechnol       Date:  2022-06-02

5.  Evidence of maternal offloading of organic contaminants in white sharks (Carcharodon carcharias).

Authors:  Christopher G Mull; Kady Lyons; Mary E Blasius; Chuck Winkler; John B O'Sullivan; Christopher G Lowe
Journal:  PLoS One       Date:  2013-04-30       Impact factor: 3.240

6.  Interactions between chemical and climate stressors: a role for mechanistic toxicology in assessing climate change risks.

Authors:  Michael J Hooper; Gerald T Ankley; Daniel A Cristol; Lindley A Maryoung; Pamela D Noyes; Kent E Pinkerton
Journal:  Environ Toxicol Chem       Date:  2013-01       Impact factor: 3.742

  6 in total

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