Cargando…
Predicting sport fish mercury contamination in heavily managed reservoirs: Implications for human and ecological health
Mercury (Hg) is a concerning contaminant due to its widespread distribution and tendency to accumulate to harmful concentrations in biota. We used a machine learning approach called random forest (RF) to test for different predictors of Hg concentrations in three species of Colorado reservoir sport...
Autores principales: | Lepak, Jesse M., Johnson, Brett M., Hooten, Mevin B., Wolff, Brian A., Hansen, Adam G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443864/ https://www.ncbi.nlm.nih.gov/pubmed/37607193 http://dx.doi.org/10.1371/journal.pone.0285890 |
Ejemplares similares
-
Comparison of Mercury Distribution Between Liver and Musc - A Biomonitoring of Fish from Lightly and Heavily Contaminated Localities
por: Havelková, Marcela, et al.
Publicado: (2008) -
Risk Assessment of Mercury-Contaminated Fish Consumption in the Brazilian Amazon: An Ecological Study
por: Basta, Paulo Cesar, et al.
Publicado: (2023) -
Experimental evidence for recovery of mercury-contaminated fish populations
por: Blanchfield, Paul J., et al.
Publicado: (2021) -
Mercury source changes and food web shifts alter contamination signatures of predatory fish from Lake Michigan
por: Lepak, Ryan F., et al.
Publicado: (2019) -
Bridging implementation gaps to connect large ecological datasets and complex models
por: Raiho, Ann M., et al.
Publicado: (2021)