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Temporal complexity of terrestrial ecosystem functioning and its drivers.

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Ecosystem carbon fluxes exhibit complex dynamics, influenced by weather and increasing over time. This complexity enhances ecosystem stability and responsiveness, offering insights beyond traditional measurements.

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Area of Science:

  • Ecology
  • Non-linear Dynamics
  • Ecosystem Functioning

Background:

  • Non-linear dynamics theory reveals complexity in natural systems.
  • Ecosystem-level energy and matter flux dynamics remain poorly understood.
  • Previous studies highlight non-linear dynamics in various taxa populations.

Purpose of the Study:

  • Investigate drivers and trends in temporal complexity of ecosystem functioning.
  • Analyze carbon fluxes (GPP, respiration, NEP) across diverse biomes.
  • Determine if ecosystem fluxes exhibit non-linear dynamics and their complexity.

Main Methods:

  • Calculated correlation dimension for Gross Primary Production (GPP), ecosystem respiration, and Net Ecosystem Production.
  • Utilized long-term eddy-covariance C flux data from 57 terrestrial ecosystems.
  • Analyzed data from boreal, temperate, and Mediterranean biomes.

Main Results:

  • Ecosystems with complex weather patterns show more complex carbon fluxes.
  • Larger carbon fluxes generally increase temporal complexity.
  • Increased flux complexity correlates with reduced interannual variability, indicating higher resistance to perturbations.
  • Observed a positive trend in GPP complexity over time, linked to increasing GPP.

Conclusions:

  • Short-term temporal complexity of ecosystem functioning reveals properties missed by longer timescales.
  • Increasing GPP complexity suggests heightened ecosystem responsiveness.
  • The underlying biological mechanisms for observed trends require further investigation.