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Mercury in gray wolves (Canis lupus) in Alaska: Increased exposure through consumption of marine prey

McGrew, Ashley K., Ballweber, Lora R., Moses, Sara K., Stricker, Craig A., Beckmen, Kimberlee B., Salman, Mo D., O'Hara, Todd M.·2014·Science of The Total Environment
DOI 10.1016/j.scitotenv.2013.08.045PMC PMC3870183
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  • Consumption of carnivore meat can be hazardous to human health due to parasitic infections and the bioaccumulation of toxins.

    “Moreover, not only carnivores have a lower biomass transfer efficiency but also consumption of carnivore meat can be hazardous to human health due to parasitic infections and the bioaccumulation of toxins (35–37).”

    From Pre-Clovis occupation of the Americas identified by human fecal biomarkers in coprolites from Paisley Caves, Oregon (2020) · cites this paper as [35]

    The Introduction (page unavailable) says mercury bioaccumulates in organisms, and the Conclusion (page unavailable) identifies possible harmful effects of mercury exposure in Alaskan wolves. This supports the toxin-bioaccumulation concern, but the paper does not establish that eating carnivore meat is hazardous to humans or that it causes parasitic infections. (LLM, conf=0.82)

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Research works printed but not linked: 40

  1. Adams, 2010, Are inland wolf-ungulate systems influenced by marine subsidies of Pacific salmon?, Ecol Appl, 20, 251, 10.1890/08-1437.1 · DOI
  2. Agusa, 2011, Accumulation features of trace elements in mass-stranded harbor seals (Phoca vitulina) in the North Sea coast in 2002: the body distribution and association with growth and nutrition status, Mar Pollut Bull, 62, 963, 10.1016/j.marpolbul.2011.02.047 · DOI
  3. Angerbjörn, 1994, Dietary variation in Arctic foxes (Alopex lagopus): an analysis of stable carbon isotopes, Oecologia, 99, 226, 10.1007/BF00627734 · DOI
  4. Benson, 1961, Nitrogen/argon and nitrogen isotope ratios in aerobic sea water, Deep-Sea Res, 7, 237
  5. Bocharova, 2013, Correlates between feeding ecology and mercury levels in historical and modern arctic foxes (Vulpes lagopus), PLoS ONE, 8, e60879, 10.1371/journal.pone.0060879 · DOI
  6. Braune, 2005, Persistent organic pollutants and mercury in marine biota of the Canadian Arctic: an overview of spatial and temporal trends, Sci Total Environ, 351–352, 4, 10.1016/j.scitotenv.2004.10.034 · DOI
  7. Butala, 2006, A detailed study of thermal decomposition, amalgamation/atomic absorption spectrophotometry methodology for the quantitative analysis of mercury in fish and hair, J Food Prot, 69, 2720, 10.4315/0362-028X-69.11.2720 · DOI
  8. Cardona-Marek, 2009, Mercury concentrations in Southern Beaufort Sea polar bears: variation based on stable isotopes of carbon and nitrogen, Environ Toxicol Chem, 28, 1416, 10.1897/08-557.1 · DOI
  9. Christensen, 2005, Persistent organic pollutants in British Columbia grizzly bears: consequence of divergent diets, Environ Sci Technol, 39, 6952, 10.1021/es050749f · DOI
  10. Chumchal, 2011, Mercury speciation and biomagnifications in the food web of Caddo Lake, Texas and Louisiana, USA, a subtropical freshwater ecosystem, Environ Toxicol Chem, 30, 1153, 10.1002/etc.477 · DOI
  11. Crawford, 2008, Applications of stable isotope techniques to the ecology of mammals, Mamm Rev, 38, 87, 10.1111/j.1365-2907.2008.00120.x · DOI
  12. Darimont, 2002, Intra-hair stable isotope analysis implies seasonal shift to salmon in gray wolf diet, Can J Zool, 80, 1638, 10.1139/z02-149 · DOI
  13. Darimont, 2004, Predators in natural fragments: foraging ecology of wolves in British Columbia's Central and North Coast Archipelago, J Biogeogr, 31, 1867, 10.1111/j.1365-2699.2004.01141.x · DOI
  14. Debridge, 2012, Using Bayesian stable isotope mixing models to estimate wolf diet in a multi-prey ecosystem, J Wildl Manag, 76, 1277, 10.1002/jwmg.359 · DOI
  15. Dehn, 2006, Trophic relationships in an arctic food web and implications for trace metal transfer, Sci Total Environ, 362, 103, 10.1016/j.scitotenv.2005.11.012 · DOI
  16. Dietz, 2013, What are toxicological effects of mercury in Arctic biota?, Sci Total Environ, 443, 775, 10.1016/j.scitotenv.2012.11.046 · DOI
  17. Facemire, 1995, Impacts of mercury contamination in the southeastern United States, Water Air Soil Pollut, 80, 923, 10.1007/BF01189745 · DOI
  18. Fortin, 2007, Dietary and spatial overlap between sympatric ursids relative to salmon use, BioOne, 18, 19
  19. Hansen, 2009, Simultaneous δ15N, δ13C and δ34S measurements of low-biomass samples using a technically advanced high sensitivity elemental analyzer connected to an isotope ratio mass spectrometer, Rapid Commun Mass Spectrom, 23, 3387, 10.1002/rcm.4267 · DOI
  20. Henderson, 2006, Testing experimental data for univariate normality, Clin Chim Acta, 366, 112, 10.1016/j.cca.2005.11.007 · DOI
  21. Hilderbrand, 1996, Use of stable isotopes to determine diets of living and extinct bears, Can J Zool, 74, 2080, 10.1139/z96-236 · DOI
  22. Horton, 2009, Stable isotope food-web analysis and mercury biomagnification in polar bears (Ursus maritimus), Polar Res, 28, 443, 10.1111/j.1751-8369.2009.00114.x · DOI
  23. Inger, 2006, Temporal and intrapopulation variation in prey choice of wintering geese determined by stable isotope analysis, J Anim Ecol, 75, 1190, 10.1111/j.1365-2656.2006.01142.x · DOI
  24. Kacmár, 1992, Levels of mercury in the organs and tissues of sheep after administration of very low doses, Vet Med (Praha), 37, 231
  25. Lafferty, 2003, How should environmental stress affect the population dynamics of disease?, Ecol Lett, 6, 654, 10.1046/j.1461-0248.2003.00480.x · DOI
  26. Lake, 2007, Mercury and stable isotopes of carbon and nitrogen in mink, Environ Toxicol Chem, 26, 2611, 10.1897/06-607.1 · DOI
  27. Martínez del Rio, 2009, Isotopic ecology ten years after a call for more laboratory experiments, Biol Rev, 84, 91, 10.1111/j.1469-185X.2008.00064.x · DOI
  28. Minagawa, 1984, Stepwise enrichment of 15N along food chains: Further evidence and the relation between δ15N and animal age, Geochim Cosmochim Acta, 48, 1135, 10.1016/0016-7037(84)90204-7 · DOI
  29. Misztal-Szkudlińska, 2010, Biomagnification of mercury in trophic relation of Great Cormorant (Phalacrocorax carbo) and fish in the Vistula Lagoon, Poland, Environ Monit Assess, 176, 439
  30. Miyake, 1967, The abundance ratio of 15N/14N in marine environments, Rec Oceanogr Works, 9, 37
  31. Newsome, 2010, Variation in δ13C and δ15N diet-vibrissae trophic discrimination factors in a wild population of California sea otters, Ecol Appl, 20, 1744, 10.1890/09-1502.1 · DOI
  32. Osowski, 1995, The decline of mink in Georgia, North Carolina, and South Carolina: the role of contaminants, Arch Environ Contam Toxicol, 29, 418, 10.1007/BF00212510 · DOI
  33. Semmens, 2009, Quantifying inter- and intra-population niche variability using hierarchical Bayesian stable isotope mixing models, PLoS One, 4, e6187, 10.1371/journal.pone.0006187 · DOI
  34. Sures, 2004, Environmental parasitology: relevancy of parasites in monitoring environmental pollution, Trends Parasitol, 20, 170, 10.1016/j.pt.2004.01.014 · DOI
  35. Szepanski, 1999, Assessment of anadromous salmon resources in the diet of the Alexander Archipelago wolf using stable isotope analysis, Oecologia, 120, 327, 10.1007/s004420050866 · DOI
  36. Urton, 2005, Intrapopulation variation in gray wolf isotope (δ15N and δ13C) profiles: implications for the ecology of individuals, Oecologia, 145, 317, 10.1007/s00442-005-0124-2 · DOI
  37. Walters, 2008, The dark side of subsidies: adult stream insects export organic contaminants to riparian predators, Ecol Appl, 18, 1835, 10.1890/08-0354.1 · DOI
  38. Watts, 2010, The Ilnik wolf Canis lupus pack: use of marine mammals and offshore sea ice, Wildl Biol, 16, 144, 10.2981/09-040 · DOI
  39. Wren, 1986, A review of metal accumulation and toxicity in wild mammals: I. Mercury, Environ Res, 40, 210, 10.1016/S0013-9351(86)80098-6 · DOI
  40. Young, 2010, Diet differences among age classes of Arctic seals: evidence from stable isotope and mercury biomarkers, Polar Biol, 33, 153, 10.1007/s00300-009-0693-3 · DOI

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Metadata

Authors
McGrew, A. K., Ballweber, L. R., Moses, S. K., Stricker, C. A., Beckmen, K. B., Salman, M. D., & O'Hara, T. M.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2014-01
Volume
468-469
Pages
609-613
ISSN
0048-9697
DOI
10.1016/j.scitotenv.2013.08.045
PMC
PMC3870183
Cited by
41
References
0
Language
en
Licence
Funders
  • U.S. Department of Agriculture
  • National Institutes of Health
  • North American Interfraternal Foundation
  • National Institute of General Medical Sciences (P20GM103395)
  • Colorado State University
  • National Center for Research Resources (P20RR016466)

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