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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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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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Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
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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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Mutation, Gene Flow, and Genetic Drift01:09

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Genetic Drift03:33

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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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Evolving population distribution in China's border regions: Spatial differences, driving forces and policy

Daquan Huang1, Yue Lang1, Tao Liu2,3

  • 1School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing, China.

Plos One
|October 19, 2020
PubMed
Summary

China

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Area of Science:

  • Demography
  • Socioeconomics
  • Geospatial analysis

Background:

  • China's border regions are crucial for national security and socioeconomic development.
  • Understanding population dynamics in these areas is vital for policy-making.

Purpose of the Study:

  • To analyze population distribution and dynamics in China's border counties from 1982 to 2010.
  • To identify key factors influencing population changes in these strategic regions.

Main Methods:

  • Utilized census, statistical, digital elevation model (DEM), and network data.
  • Employed visual analysis for population patterns and stepwise regression for factor identification.

Main Results:

  • Identified population concentration in northeast, northwest, and Guangxi-Yunnan border areas.
  • Observed rapid population growth in western Inner Mongolia, southwest Xinjiang, northwest Tibet, and southern Yunnan.
  • Found national reclamation policies less effective for population attraction in the new century.
  • Determined education significantly reduces fertility rates in remote border areas.
  • Highlighted regional heterogeneity in factors influencing population growth.

Conclusions:

  • Population distribution and growth in China's border regions exhibit significant spatial variation.
  • Socioeconomic factors, particularly education, play a crucial role in shaping population dynamics.
  • Policy effectiveness in border regions is evolving with market-oriented migration mechanisms.