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How predictable are aphid population responses to elevated CO2?

J A Newman1, D J Gibson1,2, A J Parsons3

  • 1Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK.

The Journal of Animal Ecology
|March 22, 2019
PubMed
Summary
This summary is machine-generated.

Elevated carbon dioxide (CO2) can cause aphid populations to grow larger, smaller, or stay the same. Soil nitrogen and aphid density sensitivity determine these varied responses, making outcomes predictable.

Keywords:
Homopteraaphidcarbon dioxide enrichmentmodelplant–animal interaction

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Area of Science:

  • Ecology
  • Environmental Science
  • Mathematical Biology

Background:

  • Aphid population responses to elevated carbon dioxide (CO2) are inconsistent, with studies reporting larger, smaller, or unchanged populations.
  • This variability has led to the conclusion that aphid-plant interactions are unique and unpredictable under changing atmospheric conditions.

Purpose of the Study:

  • To develop a general mathematical model explaining the diverse aphid population responses to elevated CO2.
  • To identify key factors influencing aphid population dynamics under different CO2 concentrations.

Main Methods:

  • Utilized a single, general mathematical model to simulate cereal aphid population responses.
  • Incorporated variables such as aphid nitrogen requirements, soil nitrogen fertility, and density-dependent responses.

Main Results:

  • The model successfully explains all observed outcomes: larger, smaller, or no change in aphid populations.
  • Aphid population size under elevated CO2 is critically dependent on the interplay between aphid nitrogen needs and soil nitrogen availability.
  • The sensitivity of aphid species to their own population density influences the direction of population change.

Conclusions:

  • The diversity in aphid population responses to elevated CO2 is understandable and predictable.
  • Future research should investigate inter-species differences in nitrogen requirements and density-dependent responses, and manipulate soil nitrogen in experimental settings.