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Drought and resprouting plants.

Melanie J B Zeppel1, Sandy P Harrison1,2, Henry D Adams3

  • 1Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.

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|June 11, 2016
PubMed
Summary
This summary is machine-generated.

Resprouting species can better withstand drought and recover faster than non-resprouters. This resilience suggests minimal impact from increased drought stress on resprouter-dominated ecosystems, though more research is needed.

Keywords:
carbon starvationdrought-induced mortalityglobal vegetation modelhydraulic failurenonresprouterpost-disturbance recoverypost-drought recoveryresprouter

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Area of Science:

  • Ecology
  • Climate Change Biology
  • Plant Physiology

Background:

  • Drought stress is increasing globally, impacting ecosystems.
  • Many ecosystems rely on resprouting species for biomass recovery after stress.
  • Ecosystem response assessments often overlook the resilience of resprouting species.

Purpose of the Study:

  • To assess the resilience and recovery of resprouting species under drought stress.
  • To highlight the importance of resprouting in ecosystem response to climate change.
  • To identify knowledge gaps in modeling resprouting for climate change impact assessments.

Main Methods:

  • Comparative analysis of hydraulic and allocation traits.
  • Review of evidence on ecosystem recovery rates.
  • Identification of knowledge gaps for future modeling.

Main Results:

  • Resprouting species exhibit greater resilience to drought than non-resprouters.
  • Ecosystems dominated by resprouters demonstrate faster post-disturbance recovery.
  • Resprouters' ability to avoid mortality and recover rapidly suggests lower vulnerability to drought.

Conclusions:

  • Resprouting is a key trait for ecosystem resilience in the face of increased drought.
  • Current climate change impact models may underestimate ecosystem stability due to lack of explicit resprouting representation.
  • Further research is crucial to integrate resprouting dynamics into carbon cycle and climate change models.