2014
DOI: 10.1016/j.aquatox.2014.10.004
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Population-level effects in Amphiascus tenuiremis: Contrasting matrix- and individual-based population models

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Cited by 5 publications
(3 citation statements)
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“…To test the chronic toxicity of triclosan, we used a multigeneration population development test with the crustacean N. spinipes . Based on the generation time of 15 d to 20 d for N. spinipes under the present experimental conditions , the population development test covers 2 to 3 generation cycles . Specific details are provided in the section Exposure test .…”
Section: Methodsmentioning
confidence: 99%
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“…To test the chronic toxicity of triclosan, we used a multigeneration population development test with the crustacean N. spinipes . Based on the generation time of 15 d to 20 d for N. spinipes under the present experimental conditions , the population development test covers 2 to 3 generation cycles . Specific details are provided in the section Exposure test .…”
Section: Methodsmentioning
confidence: 99%
“…A dry weight of 5 μg per individual and an organic carbon content of 50% was used . The organic carbon content per vial used for the mass balance was based on 500 individuals, to simulate conditions with high organic carbon content . The fraction of triclosan in the organic carbon phase (f oc ) was calculated as foc=Coc×MocCoc×Moc+Csilicone×Msilicone+Cw×Vw where C oc is the concentration of triclosan in organic carbon (μg/kg), M oc is the amount of organic carbon in the system (kg), C Silicone is the concentration of triclosan in silicone (μg/kg), C w is the concentration of triclosan in the water phase (μg/L), and V w is the volume of water (L).…”
Section: Methodsmentioning
confidence: 99%
“…The objective of this study was to develop an individual‐based model (IBM) to inform future red drum stocking strategies by forecasting the genetic effects on the local spawning population offshore the Charleston Harbor estuary using known genetic and life history data. Individual‐based models provide tremendous flexibility in their application to a variety of ecological questions, such as examining the effects of pollution on development and reproduction (Lundström Belleza, Brinkmann, Preuss & Breitholtz, ), determining the influence of adult reproductive success and egg survival on population viability (Mazaris, Fiksen & Matsinos, ) and quantifying changes to genetic diversity of a fragmented population under several management approaches (Bruford et al., ). Although powerful, applying an IBM to a specific management case requires accurate demographic data to simulate the life history of the organism of concern.…”
Section: Introductionmentioning
confidence: 99%