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Spatial patterns and environmental factors related to arsenic bioaccumulation in boreal freshwater fish

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Publication: Canadian Journal of Fisheries and Aquatic Sciences
2 February 2023

Abstract

To better understand the spatial patterns in arsenic (As) bioaccumulation in freshwater systems, we investigated ecological, physical, and chemical factors associated with total arsenic concentrations ([As]) in lacustrine and riverine fish across Ontario, Canada, using a dataset of 3200 fish across 152 waterbodies. Assembled data of water chemistry, landscape characteristics, and stable carbon and nitrogen isotope ratios in muscle tissue were then used to assess factors related to As bioaccumulation. Results show that [As] were generally low across most species and waterbodies (i.e., <1 µg·g−1 wet in many inland fish). However, fish from northern coastal rivers had up to 23-fold higher [As] when compared with fish from landlocked sites. As concentrations increased slightly with the proportion of pelagic carbon in a fish's diet, although relationships varied among species and sites. Furthermore, principal component scores, representing landscape and water chemistry variables, were related to [As] in fish, but these relationships varied among species. These results will help improve the efficacy of fish contaminant monitoring by further identifying key physical and ecological variables related to higher [As] in fish.

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Published In

cover image Canadian Journal of Fisheries and Aquatic Sciences
Canadian Journal of Fisheries and Aquatic Sciences
Volume 80Number 3March 2023
Pages: 628 - 641

Article versions

History

Received: 25 May 2022
Accepted: 5 December 2022
Accepted manuscript online: 19 December 2022
Version of record online: 2 February 2023

Data Availability Statement

Ministry of the Environment, Conservation and Parks fish contaminant data can be accessed through the following:
Fish Contaminant Monitoring Program
Ministry of the Environment, Conservation and Parks
Phone: 416-327-6816 or 1-800-820-2716
All other inquiries into primary research data can be directed to the corresponding author.

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Key Words

  1. arsenic
  2. bioaccumulation
  3. biomagnification
  4. stable isotopes
  5. fish
  6. freshwater

Authors

Affiliations

Vale Living with Lakes Centre, School of Natural Sciences, Laurentian University, Sudbury, ON, Canada
Author Contributions: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Visualization, Writing – original draft, and Writing – review & editing.
Vale Living with Lakes Centre, School of Natural Sciences, Laurentian University, Sudbury, ON, Canada
Wildlife Conservation Society (WCS) Canada, Thunder Bay, ON, Canada
Author Contributions: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, and Writing – review & editing.
Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry, ON, Canada
Author Contributions: Data curation, Methodology, Resources, Validation, and Writing – review & editing.
Canadian Forest Service, Natural Resources Canada, ON, Canada
Author Contributions: Conceptualization, Data curation, Methodology, Resources, and Writing – review & editing.
Alan Lock
Vale Living with Lakes Centre, School of Natural Sciences, Laurentian University, Sudbury, ON, Canada
Author Contributions: Conceptualization, Methodology, and Writing – review & editing.
Satyendra Bhavsar
Ontario Ministry of the Environment, Conservation, and Parks, ON, Canada
Author Contributions: Conceptualization, Data curation, Methodology, Project administration, Resources, and Writing – review & editing.
John M. Gunn
Vale Living with Lakes Centre, School of Natural Sciences, Laurentian University, Sudbury, ON, Canada
Author Contributions: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, and Writing – review & editing.

Author Contributions

Conceptualization: CK, GLL, BWK, AL, SB, JMG
Data curation: CK, GLL, TAJ, BWK, SB
Formal analysis: CK, GLL
Funding acquisition: GLL, JMG
Investigation: CK, GLL
Methodology: CK, GLL, TAJ, BWK, AL, SB, JMG
Project administration: CK, GLL, SB, JMG
Resources: GLL, TAJ, BWK, SB, JMG
Supervision: GLL, JMG
Validation: GLL, TAJ
Visualization: CK, GLL
Writing – original draft: CK, GLL
Writing – review & editing: CK, GLL, TAJ, BWK, AL, SB, JMG

Competing Interests

The authors declare no competing interests related to this work.

Funding Information

Funding was provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) through their Collaborative Research and Development (CRD, partnered with DeBeers Canada) and Discovery grants (JMG, grant numbers CRDPJ533736-18 and RGPIN-2016-04376, respectively) and MITACS Accelerate (Lescord, Application Ref. IT13105, Funding Request Ref. FR3305).

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