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Related Concept Videos

Distribution and Dispersion00:54

Distribution and Dispersion

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To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
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Frequency-dependent Selection01:21

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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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Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
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Dose-Response Relationship: Selectivity and Specificity01:25

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Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and...
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Testing a Claim about Mean: Unknown Population SD01:21

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A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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Related Experiment Video

Updated: May 1, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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Do predictions from Species Sensitivity Distributions match with field data?

S Smetanová1, L Bláha1, M Liess2

  • 1Masaryk University, Faculty of Science, RECETOX, Kamenice 5, 62500 Brno, Czech Republic.

Environmental Pollution (Barking, Essex : 1987)
|March 25, 2014
PubMed
Summary

Species Sensitivity Distribution (SSD) models predict contaminant effects but require field validation. Commonly used SSD thresholds underestimated actual impacts on stream invertebrates, indicating a need for revised prediction models.

Keywords:
FreshwaterPollutionRisk assessmentRiversStatistical modelling

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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
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Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
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Area of Science:

  • Ecotoxicology
  • Environmental Chemistry
  • Statistical Modeling

Background:

  • Species Sensitivity Distribution (SSD) models are used to predict ecological risks of chemical contaminants.
  • Few studies have validated SSD predictions against field data for aquatic ecosystems.
  • Assessing pesticide impacts on stream invertebrates is crucial for environmental protection.

Purpose of the Study:

  • To compare Species Sensitivity Distribution (SSD) model predictions with field observations of pesticide effects on stream invertebrates.
  • To evaluate the accuracy of the commonly accepted SSD threshold (msPAF of 0.05) using real-world data.
  • To determine if SSD thresholds need adjustment based on field study results.

Main Methods:

  • Measured pesticide concentrations in streams across Germany, France, and Finland.
  • Applied SSD models to calculate multiple substance potentially affected fraction (msPAF) values.
  • Quantified actual effects on stream invertebrates using the SPEARpesticides bioindicator.
  • Correlated SSD-derived msPAF values with SPEARpesticides data.

Main Results:

  • A strong correlation was found between SSD-based msPAF values and the SPEARpesticides bioindicator.
  • The standard SSD threshold of msPAF 0.05 significantly underestimated observed ecological effects.
  • Effective msPAF values in field studies were 2-1000 times lower than the accepted threshold.
  • Field data revealed higher sensitivity of stream invertebrates to pesticide mixtures than predicted by standard SSD models.

Conclusions:

  • Field data validation is essential for refining SSD model thresholds.
  • Current SSD thresholds may not adequately protect aquatic invertebrate communities from pesticide pollution.
  • Further research is needed to establish more accurate SSD thresholds for ecological risk assessment.