Spatiotemporal variation in occurrence and co-occurrence of pesticides, hormones, and other organic contaminants in rivers in the Chesapeake Bay Watershed, United States.
| Title: | Spatiotemporal variation in occurrence and co-occurrence of pesticides, hormones, and other organic contaminants in rivers in the Chesapeake Bay Watershed, United States. |
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| Authors: | McClure CM; Pennsylvania Cooperative Fish and Wildlife Research Unit, Department of Ecosystem Science and Management, 413 Forest Resource Building, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: cmm1148@psu.edu.; Smalling KL; U.S. Geological Survey, New Jersey Water Science Center, 3450 Princeton Pike, Suite 110, Lawrenceville, NJ 08648, USA. Electronic address: ksmall@usgs.gov.; Blazer VS; U.S. Geological Survey, Fish Health Branch, Leetown Science Center, 11649 Leetown Road, Kearneysville, WV 25430, USA. Electronic address: vblazer@usgs.gov.; Sperry AJ; U.S. Geological Survey, Fish Health Branch, Leetown Science Center, 11649 Leetown Road, Kearneysville, WV 25430, USA. Electronic address: asperry@usgs.gov.; Schall MK; The Pennsylvania State University, Biological Services, 76 University Drive, Hazleton, PA 18202, USA. Electronic address: mvk10@psu.edu.; Kolpin DW; U.S. Geological Survey, Central Midwest Water Science Center, 400 S Clinton St Room 269, Iowa City, IA 52240, USA. Electronic address: dwkolpin@usgs.gov.; Phillips PJ; U.S. Geological Survey, New York Water Science Center, 425 Jordan Road, Troy, NY 12180, USA. Electronic address: pjphilli@usgs.gov.; Hladik ML; U.S. Geological Survey, California Water Science Center, 6000 J Street, Placer Hall, Sacramento, CA 95819, USA. Electronic address: mhladik@usgs.gov.; Wagner T; U.S. Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, Pennsylvania State University, 402 Forest Resources Building, University Park, PA 16802, USA. Electronic address: txw19@psu.edu. |
| Source: | The Science of the total environment [Sci Total Environ] 2020 Aug 01; Vol. 728, pp. 138765. Date of Electronic Publication: 2020 Apr 19. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam, Elsevier. |
| MeSH Terms: | Pesticides/*analysis ; Water Pollutants, Chemical/*analysis; Animals ; Bayes Theorem ; Bays ; Environmental Monitoring ; Rivers ; United States |
| Abstract: | Investigating the spatiotemporal dynamics of contaminants in surface water is crucial to better understand how introduced chemicals are interacting with and potentially influencing aquatic organisms and environments. Within the Chesapeake Bay Watershed, United States, there are concerns about the potential role of contaminant exposure on fish health. Evidence suggests that exposure to contaminants in surface water is causing immunosuppression and intersex in freshwater fish species. Despite these concerns, there is a paucity of information regarding the complex dynamics of contaminant occurrence and co-occurrence in surface water across both space and time. To address these concerns, we applied a Bayesian hierarchical joint-contaminant model to describe the occurrence and co-occurrence patterns of 28 contaminants and total estrogenicity across six river sites and over three years. We found that seasonal occurrence patterns varied by contaminant, with the highest occurrence probabilities during the spring and summer months. Additionally, we found that the proportion of agricultural landcover in the immediate catchment, as well as stream discharge, did not have a significant effect on the occurrence probabilities of most compounds. Four pesticides (atrazine, metolachlor, fipronil and simazine) co-occurred across sites after accounting for environmental covariates. These results provide baseline information on the contaminant occurrence patterns of several classes of compounds within the Chesapeake Bay Watershed. Understanding the spatiotemporal dynamics of contaminants in surface water is the first step in investigating the effects of contaminant exposure on fisheries and aquatic environments.; (Copyright © 2020 Elsevier B.V. All rights reserved.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Agricultural landcover; Chesapeake Bay watershed; Contaminants; Multivariate analysis; Surface water |
| Substance Nomenclature: | 0 (Pesticides); 0 (Water Pollutants, Chemical) |
| Entry Date(s): | Date Created: 20200429 Date Completed: 20200710 Latest Revision: 20200710 |
| Update Code: | 20260130 |
| DOI: | 10.1016/j.scitotenv.2020.138765 |
| PMID: | 32344224 |
| Database: | MEDLINE |
Journal Article