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Related Concept Videos

Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Related Experiment Video

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Desensitization and Recovery of Crayfish Photoreceptors Upon Delivery of a Light Stimulus
06:43

Desensitization and Recovery of Crayfish Photoreceptors Upon Delivery of a Light Stimulus

Published on: November 9, 2019

Time-dependent species sensitivity distributions.

David R Fox1, Elise Billoir

  • 1Environmetrics Australia and University of Melbourne, Templestowe, Victoria, Australia. david.fox@environmetrics.net.au

Environmental Toxicology and Chemistry
|November 20, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces time into ecotoxicological assessments by extending species sensitivity distribution (SSD) models. New theoretical results reveal complex time-dependent patterns in hazardous concentration (HCx) values, improving toxicity predictions.

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Area of Science:

  • Ecotoxicology
  • Environmental Chemistry
  • Risk Assessment

Background:

  • Current ecotoxicological practices often fix time in concentration-response (C-R) modeling and species sensitivity distribution (SSD) analyses.
  • This marginalization of time can limit the accuracy of toxicity assessments.
  • Existing methods do not fully capture the temporal dynamics of chemical exposure and species response.

Purpose of the Study:

  • To extend probability models for SSDs to incorporate the temporal component.
  • To derive theoretical results characterizing the time-dependent nature of hazardous concentration (HCx) values.
  • To demonstrate how time dependency influences SSD outcomes.

Main Methods:

  • Extension of commonly employed probability models for SSDs.
  • Derivation of theoretical results for time-dependent HCx values.
  • Analysis of temporal patterns within SSD frameworks.

Main Results:

  • The study successfully derived theoretical results for time-dependent HCx values.
  • Even simple assumptions revealed complex patterns in SSD time dependency.
  • The findings highlight the importance of explicitly considering time in ecotoxicological modeling.

Conclusions:

  • Explicitly incorporating time into SSD analyses is crucial for accurate ecotoxicological assessments.
  • The derived theoretical framework provides a more nuanced understanding of chemical toxicity over time.
  • This approach can lead to more robust environmental risk assessments.