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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

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The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A higher...

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Watershed Planning within a Quantitative Scenario Analysis Framework
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Developing predictive systems models to address complexity and relevance for ecological risk assessment.

Valery E Forbes1, Peter Calow

  • 1School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska 68588-0118, USA. vforbes3@unl.edu

Integrated Environmental Assessment and Management
|April 25, 2013
PubMed
Summary

Ecological risk assessments (ERAs) can be improved using predictive systems models (PSMs). PSMs offer a cost-effective way to incorporate ecological complexity and provide decision-relevant risk information for better environmental management.

Keywords:
Ecological relevancePredictive systems modelsRisk managementRisk quotientsValuation

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Area of Science:

  • Environmental Science
  • Ecology
  • Risk Assessment

Background:

  • Ecological risk assessments (ERAs) are underutilized in risk management due to a lack of ecological relevance and complexity.
  • Current ERAs often fail to align with protection goals and provide decision-makers with easily interpretable risk metrics.

Purpose of the Study:

  • To propose predictive systems models (PSMs) as a cost-effective solution for enhancing ecological relevance and complexity in ERAs.
  • To demonstrate how PSMs can generate value-relevant outputs for improved risk management decision-making.

Main Methods:

  • Utilizing predictive systems models (PSMs) to capture ecological complexities and relevance.
  • Designing PSMs to provide outputs in terms of value-relevant effects modulated against exposure.

Main Results:

  • PSMs offer a practical approach to incorporate necessary ecological complexities cost-effectively.
  • PSM outputs provide a better basis for decision-making compared to arbitrary ratios or threshold values used in traditional ERAs.

Conclusions:

  • Predictive systems models (PSMs) can significantly improve the utility and application of ecological risk assessments.
  • Implementing PSMs can lead to more informed and effective environmental risk management strategies.