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Related Concept Videos

Conservation of Small Populations02:04

Conservation of Small Populations

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Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
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Related Experiment Video

Updated: Feb 4, 2026

Identification and Isolation of Burst-Forming Unit and Colony-Forming Unit Erythroid Progenitors from Mouse Tissue by Flow Cytometry
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Populations, megapopulations, and the areal unit problem.

Tom Koch1

  • 1University of British Columbia, Dept. of Geography (Medical), 1984 West Mall, Vancouver, BC, Canada.

Health & Place
|September 25, 2018
PubMed
Summary

Accurate population data is crucial for epidemic modeling. Traditional urban definitions struggle with increased travel, necessitating new approaches to defining urban populations within megaregions.

Area of Science:

  • Epidemiology
  • Urban Studies
  • Geographic Information Systems (GIS)

Background:

  • Epidemic modeling and management rely heavily on accurate population data.
  • Traditional urban definitions with discrete borders are insufficient due to increased population mobility.
  • The evolving concept of megaregions presents challenges for defining localized populations.

Purpose of the Study:

  • To review the challenges in defining urban populations in the context of increased mobility.
  • To examine the 'areal unit problem' in population studies.
  • To explore the implications of megaregions for population data accuracy.

Main Methods:

  • Literature review of urban definitions and population studies.
  • Analysis of the 'areal unit problem' in geographic research.

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  • Discussion of the concept of megaregions and their spatial characteristics.

    • Main Results:

    • Traditional methods of defining urban populations are inadequate for current mobility patterns.
    • The concept of megaregions highlights the limitations of discrete areal units for population analysis.
    • Rethinking population definitions is essential for effective epidemic management.

    Conclusions:

    • The study underscores the need for dynamic and spatially inclusive definitions of urban populations.
    • Addressing the areal unit problem is critical for improving epidemic modeling and public health.
    • Future research should focus on developing new frameworks for defining populations in interconnected megaregions.