Literature DB >> 25858149

Forecasting fish biomasses, densities, productions, and bioaccumulation potentials of mid-atlantic wadeable streams.

M Craig Barber1, Brenda Rashleigh2, Michael J Cyterski1.   

Abstract

Regional fishery conditions of Mid-Atlantic wadeable streams in the eastern United States are estimated using the Bioaccumulation and Aquatic System Simulator (BASS) bioaccumulation and fish community model and data collected by the US Environmental Protection Agency's Environmental Monitoring and Assessment Program (EMAP). Average annual biomasses and population densities and annual productions are estimated for 352 randomly selected streams. Realized bioaccumulation factors (BAF) and biomagnification factors (BMF), which are dependent on these forecasted biomasses, population densities, and productions, are also estimated by assuming constant water exposures to methylmercury and tetra-, penta-, hexa-, and hepta-chlorinated biphenyls. Using observed biomasses, observed densities, and estimated annual productions of total fish from 3 regions assumed to support healthy fisheries as benchmarks (eastern Tennessee and Catskill Mountain trout streams and Ozark Mountains smallmouth bass streams), 58% of the region's wadeable streams are estimated to be in marginal or poor condition (i.e., not healthy). Using simulated BAFs and EMAP Hg fish concentrations, we also estimate that approximately 24% of the game fish and subsistence fishing species that are found in streams having detectable Hg concentrations would exceed an acceptable human consumption criterion of 0.185 μg/g wet wt. Importantly, such streams have been estimated to represent 78.2% to 84.4% of the Mid-Atlantic's wadeable stream lengths. Our results demonstrate how a dynamic simulation model can support regional assessment and trends analysis for fisheries.
© 2015 SETAC.

Entities:  

Keywords:  Bioaccumulation; Biomass; Fish; Production; Simulation modeling

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Year:  2015        PMID: 25858149     DOI: 10.1002/ieam.1644

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  2 in total

1.  Developing and applying metamodels of high resolution process-based simulations for high throughput exposure assessment of organic chemicals in riverine ecosystems.

Authors:  M Craig Barber; Kristin K Isaacs; Caroline Tebes-Stevens
Journal:  Sci Total Environ       Date:  2017-06-30       Impact factor: 7.963

2.  PiSCES: Pi(scine) stream community estimation system.

Authors:  Mike Cyterski; Craig Barber; Mike Galvin; Rajbir Parmar; John M Johnston; Deron Smith; Amber Ignatius; Lourdes Prieto; Kurt Wolfe
Journal:  Environ Model Softw       Date:  2020-05-01       Impact factor: 5.288

  2 in total

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