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Related Experiment Videos

A self-similarity model for the occupancy frequency distribution.

Cang Hui1, Melodie A McGeoch

  • 1Spatial, Physiological and Conservation Ecology Group, Department of Conservation Ecology and Entomology, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa. chui@sun.ac.za

Theoretical Population Biology
|September 19, 2006
PubMed
Summary

A new occupancy probability transition (OPT) model explains how sampling scale and species saturation influence species distribution patterns. This model helps understand the variability in occupancy frequency distributions observed in ecological studies.

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Spatial Ecology

Background:

  • Interspecific range-size distributions exhibit high variability at finer scales.
  • A numerical model is needed to understand the drivers of this variation.

Purpose of the Study:

  • Develop a numerical model to explain the shape of occupancy frequency distributions.
  • Investigate the effects of sampling scale and species saturation on these distributions.

Main Methods:

  • Utilized self-similarity conditions to formulate an occupancy probability transition (OPT) model.
  • Assessed the impact of sample grain (sampling scale) and species saturation on distribution shapes.

Main Results:

  • The OPT model predicts core-modes are rare in occupancy frequency distributions.

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  • Modal occupancy shifts from core to satellite with increasing sample grain.
  • Species saturation above a threshold generates multimodality, often bimodal with a dominant satellite mode.

    • Conclusions:

    • The OPT model provides a null model for occupancy frequency distribution shapes.
    • Sampling scale, adequacy, and species saturation distribution explain empirical patterns.
    • The model is largely insensitive to species richness.