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Dynamic process connectivity explains ecohydrologic responses to rainfall pulses and drought.

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Understanding ecohydrologic system connectivity is key to predicting ecosystem responses to climate change. This study quanties information flow between variables to reveal how ecosystems respond to moisture changes.

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Area of Science:

  • Ecohydrology
  • Information Theory
  • Ecosystem Dynamics

Background:

  • Ecohydrologic systems display joint variability due to interactions between atmosphere, vegetation, and soil.
  • This connectivity influences ecosystem sensitivity and resilience to climate and land-cover changes.
  • Understanding these interactions is crucial for predicting ecosystem responses to environmental variability.

Purpose of the Study:

  • To quantify connectivity in ecohydrologic systems using an information theory-based approach.
  • To investigate how changes in dry-season moisture availability affect ecosystem fluxes.
  • To characterize joint asynchronous time dependencies and identify dominant drivers of ecosystem variability.

Main Methods:

  • Utilized an information theory-based approach to quantify information flow between ecohydrologic variables.
  • Analyzed data from flux towers along elevation gradients at two Critical Zone Observatories (Reynolds Creek, Southern Sierra).
  • Quantified redundant, synergistic, and unique information flow to characterize lagged dependencies and connectivity.

Main Results:

  • A dry-season rainfall pulse at Reynolds Creek increased connectivity from soil and atmospheric variables to heat and carbon fluxes.
  • Distinct dominant drivers and varying drought responses were identified at the Southern Sierra sites.
  • The information flow approach successfully characterized dominant drivers and joint variability before, during, and after disturbances.

Conclusions:

  • The information flow-based connectivity approach effectively gauges ecosystem flux responsiveness to multiple sources of variability.
  • This method enhances the understanding of complex ecohydrologic systems and their sensitivity to environmental changes.
  • Characterizing connectivity is vital for predicting ecosystem resilience under changing climate and moisture conditions.