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Multiple environmental controls explain global patterns in soil animal communities.

Alice S A Johnston1, Richard M Sibly2

  • 1School of Biological Sciences, University of Reading, Reading, RG6 6AH, UK. alice.johnston@reading.ac.uk.

Oecologia
|April 9, 2020
PubMed
Summary
This summary is machine-generated.

Global soil animal communities show distinct latitudinal shifts in size and abundance. Mean annual temperature, soil pH, and organic carbon content are key environmental drivers of these mass-abundance scaling relationships.

Keywords:
Community compositionMass–abundanceSize spectraSoil animalsSoil organic carbonSoil pHTemperature

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Area of Science:

  • Ecology
  • Soil Science
  • Biodiversity Research

Background:

  • Soil animals are crucial for ecosystem functions, yet environmental influences on their communities remain unclear.
  • Understanding these controls is vital for predicting ecosystem stability and services.

Purpose of the Study:

  • To investigate the environmental controls on soil animal community composition using mass-abundance scaling relationships.
  • To identify key climatic and edaphic factors shaping global soil animal communities.

Main Methods:

  • Compiled a global dataset of soil animal communities, recording abundance and body mass for multiple groups.
  • Applied hierarchical linear mixed effects modeling to analyze mass-abundance scaling relationships and environmental drivers.

Main Results:

  • Observed a clear latitudinal gradient: high abundance of small soil animals at high latitudes versus larger animals at low latitudes.
  • Identified mean annual temperature, soil pH, and soil organic carbon as significant predictors of global mass-abundance scaling relationships (R²c = 0.828).

Conclusions:

  • Mean annual temperature, soil pH, and soil organic carbon content are key environmental controls on global soil animal mass-abundance scaling.
  • These findings extend previous observations from microbial communities to soil animal communities at a global scale.
  • Further global datasets are needed to confirm these relationships across diverse ecosystems and soil fauna.