PMID- 32526497
OWN - NLM
STAT- MEDLINE
DCOM- 20201120
LR  - 20201120
IS  - 1096-0953 (Electronic)
IS  - 0013-9351 (Linking)
VI  - 188
DP  - 2020 Sep
TI  - Climate and landscape conditions indirectly affect fish mercury levels by 
      altering lake water chemistry and fish size.
PG  - 109750
LID - S0013-9351(20)30643-5 [pii]
LID - 10.1016/j.envres.2020.109750 [doi]
AB  - Mercury pollution is a global environmental problem that threatens ecosystems, 
      and negatively impacts human health and well-being. Mercury accumulation in fish 
      within freshwater lakes is a complex process that appears to be driven by factors 
      such as individual fish biology and water chemistry at the lake-scale, whereas, 
      climate, and land-use/land-cover conditions within lake catchments can be 
      influential at relatively larger scales. Nevertheless, unravelling the intricate 
      network of pathways that govern how lake-scale and large-scale factors interact 
      to affect mercury levels in fish remains an important scientific challenge. Using 
      structural equation models (SEMs) and multiple long-term databases we identified 
      direct and indirect effects of lake-scale and larger-scale factors on mercury 
      levels in Walleye and Northern Pike - two species that are valued in inland 
      fisheries. At the lake-level, the most parsimonious path models contained direct 
      effects of fish weight, DOC, and pH, as well as an indirect effect of DOC on fish 
      mercury levels via fish weight. Interestingly, lakeshed-, climate-, and full-path 
      models that combine the effects of both lakeshed and climate revealed indirect 
      effects of surrounding landscape conditions and latitude via DOC, pH, and fish 
      weight but no direct effects on fish mercury levels. These results are generally 
      consistent across species and lakes, except for some differences between 
      stratified and non-stratified lakes. Our findings imply that understanding 
      climate and land-use driven alterations of water chemistry and fish biology will 
      be critical to predicting and mitigating fish mercury bioaccumulation in the 
      future.
CI  - Copyright (c) 2020 Elsevier Inc. All rights reserved.
FAU - Thomas, Shyam M
AU  - Thomas SM
AD  - Department of Chemistry & Biology, Ryerson University, Toronto, ON M5B 2K3, 
      Canada. Electronic address: thomas.shyam@gmail.com.
FAU - Melles, Stephanie J
AU  - Melles SJ
AD  - Department of Chemistry & Biology, Ryerson University, Toronto, ON M5B 2K3, 
      Canada.
FAU - Mackereth, Robert W
AU  - Mackereth RW
AD  - Ontario Ministry of Natural Resources & Forestry, Centre for Northern Forest 
      Ecosystem Research, Thunder Bay, ON P7E 2V6, Canada.
FAU - Tunney, Tyler D
AU  - Tunney TD
AD  - Fisheries and Oceans Canada, Freshwater Habitat Section, Gulf Fisheries Centre, 
      Moncton, NB E1C 9B6, Canada.
FAU - Chu, Cindy
AU  - Chu C
AD  - Ontario Ministry of Natural Resources & Forestry, Aquatic Research and Monitoring 
      Section, Peterborough, ON K9L 0G2, Canada.
FAU - Oswald, Claire J
AU  - Oswald CJ
AD  - Department of Geography and Environmental Studies, Ryerson University, Toronto, 
      ON M5B 2K3, Canada.
FAU - Bhavsar, Satyendra P
AU  - Bhavsar SP
AD  - Environmental Monitoring and Reporting Branch, Ontario Ministry of the 
      Environment, Conservation and Parks, Toronto, ON M9P 3V6, Canada.
FAU - Johnston, Thomas A
AU  - Johnston TA
AD  - Ontario Ministry of Natural Resources and Forestry, Cooperative Freshwater 
      Ecology Unit, Vale Living with Lakes Centre, Laurentian University, Sudbury, ON 
      P3E 2C6, Canada.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200601
PL  - Netherlands
TA  - Environ Res
JT  - Environmental research
JID - 0147621
RN  - 0 (Water Pollutants, Chemical)
RN  - FXS1BY2PGL (Mercury)
SB  - IM
MH  - Animals
MH  - Ecosystem
MH  - Environmental Monitoring
MH  - Fishes
MH  - Humans
MH  - Lakes
MH  - *Mercury/analysis/toxicity
MH  - *Water Pollutants, Chemical/analysis/toxicity
OTO - NOTNLM
OT  - DOC
OT  - Forest disturbances
OT  - Northern pike
OT  - Structural equation models
OT  - Walleye
OT  - Wetlands
EDAT- 2020/06/12 06:00
MHDA- 2020/11/21 06:00
CRDT- 2020/06/12 06:00
PHST- 2019/11/18 00:00 [received]
PHST- 2020/05/15 00:00 [revised]
PHST- 2020/05/27 00:00 [accepted]
PHST- 2020/06/12 06:00 [pubmed]
PHST- 2020/11/21 06:00 [medline]
PHST- 2020/06/12 06:00 [entrez]
AID - S0013-9351(20)30643-5 [pii]
AID - 10.1016/j.envres.2020.109750 [doi]
PST - ppublish
SO  - Environ Res. 2020 Sep;188:109750. doi: 10.1016/j.envres.2020.109750. Epub 2020 
      Jun 1.