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Network parameters quantify loss of assemblage structure in human-impacted lake ecosystems.

Rong Wang1, John A Dearing2, C Patrick Doncaster3

  • 1State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.

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|July 26, 2019
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Summary

Lake community structure changes due to human impacts can be tracked using network analysis. Diatom network analysis reveals shifts in species associations correlating with nutrient pollution and disturbance.

Keywords:
biodiversitydiatom assemblagesecological resiliencenetwork skewnessself-organized systemstability

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Area of Science:

  • Ecology
  • Network Theory
  • Environmental Science

Background:

  • Lake biodiversity alone is insufficient to indicate external pressures, as it overlooks internal community structure changes.
  • Network theory suggests unstressed systems exhibit self-organization in species associations, leading to specific frequency distributions.
  • Diatom assemblages in lakes provide a valuable model for studying ecological network structures.

Purpose of the Study:

  • To identify a proxy for ecological deformation in lake communities using diatom assemblages.
  • To test network theory predictions regarding community structure in relation to environmental stress.
  • To assess the relationship between human impacts, nutrient loading, and aquatic assemblage structure.

Main Methods:

  • Analyzed diatom assemblages from 452 species across 273 lakes in China.
  • Applied network theory to examine frequency distributions of species associations (nodal degree).
  • Correlated network skewness with environmental variables like total phosphorus, agricultural activity, and urbanization.

Main Results:

  • Observed shifts in species association frequency distributions from positive skew (West China, low impact) to negative skew (East China, high impact).
  • Found strong correlations between skew values and nutrient loading (total phosphorus) from human activities.
  • Demonstrated that positive skew decreases with intensified human impacts and increases during lake recovery.

Conclusions:

  • Network parameters, specifically skewness of species associations, can effectively track the loss of aquatic assemblage structure.
  • Human pressures significantly alter lake community structure, impacting ecological networks.
  • This network-based approach offers a sensitive indicator of ecological deformation in lakes affected by anthropogenic activities.