Using acoustic telemetry to quantify potential contaminant exposure of Vermilion Rockfish (Sebastes miniatus), Hornyhead Turbot (Pleuronichthys verticalis), and White Croaker (Genyonemus lineatus) at wastewater outfalls in southern California ...

Contaminant Exposure Models (CEMs) were developed to predict population-level tissue contaminant concentrations in fishes by pairing sediment-bound contaminant concentrations (DDTs, PCBs) and fine-scale acoustic telemetry data from a habitat- associated species (Vermilion Rockfish, Sebastes miniatus...

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Bibliographic Details
Main Authors: Burns, Echelle, Wolfe, Barrett, Armstrong, Jeff, Tang, Danny, Sakamoto, Ken, Lowe, Christopher
Format: Dataset
Language:English
Published: Dryad 2021
Subjects:
Online Access:https://dx.doi.org/10.25349/d97314
https://datadryad.org/stash/dataset/doi:10.25349/D97314
Description
Summary:Contaminant Exposure Models (CEMs) were developed to predict population-level tissue contaminant concentrations in fishes by pairing sediment-bound contaminant concentrations (DDTs, PCBs) and fine-scale acoustic telemetry data from a habitat- associated species (Vermilion Rockfish, Sebastes miniatus), nomadic flatfish species (Hornyhead Turbot, Pleuronichthys verticalis), and nomadic benthic/midwater schooling species (White Croaker, Genyonemus lineatus) tagged near wastewater outfalls in southern California. Model results were compared to contaminant concentrations in tissue samples. The CEMs developed require further refinement before implementation into management efforts but may act as steppingstones to help shift primary monitoring methods away from the regular field collection of fish for tissue contaminant analyses and towards behavioral modeling and habitat mapping. We also developed Kernel Density Estimates that can be used by managers immediately to identify regions that contribute most to ... : Acoustic telemetry was collected from several demersal species using two VEMCO Positioning System (VPS) acoustic receiver arrays deployed around wastewater outfalls in southern California, USA. Data were processed to include horizontal positioning error (HPE) values of 15 or less and data were visually assessed to remove tags that had fallen off or animals that have died due to tagging, predation, or fishing. ...