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Connie J. Boese

Researcher at University of Wyoming

Publications -  10
Citations -  474

Connie J. Boese is an academic researcher from University of Wyoming. The author has contributed to research in topics: Biotic Ligand Model & Acute toxicity. The author has an hindex of 9, co-authored 10 publications receiving 459 citations.

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Binding of Nickel and Copper to Fish Gills Predicts Toxicity When Water Hardness Varies, But Free-Ion Activity Does Not

TL;DR: Based on a biotic-ligand model (BLM), the authors hypothesized that the concentration of a transition metal bound to fish gills (Mgill) will be a constant predictor of mortality.
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Physiological changes and tissue metal accumulation in rainbow trout exposed to foodborne and waterborne metals

TL;DR: Results from this study suggest that a full assessment of metal exposure to fish populations in natural systems must include evaluation of dietary as well as waterborne metal contamination.
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Whole-body accumulation of copper predicts acute toxicity to an aquatic oligochaete (Lumbriculus variegatus) as pH and calcium are varied

TL;DR: It is found that whole-body accumulation of Cu at 50% mortality in a freshwater oligochaete (Lumbriculus variegatus) is constant across a wide range of water quality, whereas the LC50 values of Cu(total) and the cupric ion (Cu(2+)) in solution are not.
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Influence of dissolved organic matter on acute toxicity of zinc to larval fathead minnows (Pimephales promelas).

TL;DR: The current composite-species BLM for Zn could be improved for fathead minnows if that species were modeled separately from the other species used to calibrate Version 2.1.1 of the Zn BLM.
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Use of the biotic ligand model to predict pulse-exposure toxicity of copper to fathead minnows (Pimephales promelas)

TL;DR: It is concluded that one global OCUD equation linked to a re-parameterized Cu BLM for FHM can be used to predict the acute toxicity of continuous and pulse exposures of Cu to FHM larvae across a range of water quality conditions; but to improve the accuracy of those predictions, a mechanism must be developed to account for delayed deaths.