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The HoneyComb Paradigm for Research on Collective Human Behavior
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Modular knowledge systems accelerate human migration in asymmetric random environments.

Dong Wang1, Michael W Deem2,3,4

  • 1Department of Physics and Astronomy, Rice University, Houston, TX 77005, USA.

Journal of the Royal Society, Interface
|December 9, 2016
PubMed
Summary
This summary is machine-generated.

Human migration speed depends on environmental asymmetry and knowledge sharing. North-south migration is slower than east-west when environmental changes are steeper north-south, impacting population expansion and genetic patterns.

Keywords:
Americasasymmetryhuman migrationmodularity

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Area of Science:

  • Evolutionary biology
  • Population genetics
  • Archaeology

Background:

  • Migration drives community expansion, with environmental knowledge crucial for evolutionary success in heterogeneous landscapes.
  • Historical human migration faced naturally asymmetric environmental gradients (north-south vs. east-west).

Purpose of the Study:

  • To model human migration in asymmetric, modularly correlated environments, focusing on the Americas.
  • To analyze the impact of environmental asymmetry and knowledge communication on migration speed and genetic divergence.

Main Methods:

  • Developed a model for human migration in random, asymmetric, and modularly correlated environments.
  • Constructed a phase diagram relating migration asymmetry to carrying capacity and fitness threshold.
  • Analyzed migration speed relative to spatial environmental gradients and the effect of knowledge communication.

Main Results:

  • Migration speed is inversely proportional to the spatial environmental gradient.
  • North-south (NS) migration rates were found to be lower than east-west (EW) rates when the NS environmental gradient was steeper.
  • Knowledge communication, especially modular contributions to fitness, significantly increases migration speed.

Conclusions:

  • Migration rate asymmetry and modularity align with archaeological observations of human dispersal.
  • Model results for asymmetric genetic divergence are consistent with observed patterns of human gene flow.
  • Environmental heterogeneity and social learning dynamics are key factors shaping migration patterns and genetic structure.