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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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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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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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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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Related Experiment Video

Updated: Dec 1, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Recent Developments in Species Sensitivity Distribution Modeling.

D R Fox1,2, R A van Dam3, R Fisher4

  • 1Environmetrics Australia, Beaumaris, Victoria, Australia.

Environmental Toxicology and Chemistry
|November 10, 2020
PubMed
Summary
This summary is machine-generated.

Species sensitivity distribution (SSD) methods are crucial for ecological risk assessment but require standardization. This study reviews current SSD practices and proposes advancements for greater international collaboration and harmonization.

Keywords:
Computer softwareHazardous concentrationSpecies sensitivity distrbutionStatistical inference

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Area of Science:

  • Environmental toxicology
  • Ecotoxicology
  • Risk assessment

Background:

  • Species sensitivity distribution (SSD) is a statistical method for ecological risk assessment.
  • Despite 20 years of research, fundamental SSD methodology remains unchanged.
  • Technical implementation differences lead to varied results, impacting confidence in SSD approaches.

Purpose of the Study:

  • To summarize the current status of SSD methods.
  • To elaborate on recent developments including model averaging and multimodality.
  • To consider future directions for SSD to promote international collaboration and harmonization.

Main Methods:

  • Review of existing SSD literature and critical analyses.
  • Elaboration on recent advancements in SSD methodology.
  • Discussion of future directions and potential improvements.

Main Results:

  • Few recent suggestions for SSD improvements have been formally adopted.
  • Model averaging, multimodality, and software development are key areas for enhancement.
  • Current SSD methods, despite limitations, remain practical tools for risk assessment.

Conclusions:

  • The scientific community needs to guide the evolution of SSD methods.
  • Further development and enhancement of SSD practices are necessary.
  • Harmonization of SSD methods can improve consistency and reliability in ecological risk assessment.