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Towards understanding resprouting at the global scale.

Juli G Pausas1, R Brandon Pratt2, Jon E Keeley3,4

  • 1CIDE-CSIC, Ctra.Naquera Km 4.5 (IVIA), 46113, Montcada, Valencia, Spain.

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|October 8, 2015
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Summary
This summary is machine-generated.

Predicting plant resprouting requires considering disturbance type and biome. Simple resprouting ability alone is insufficient for global vegetation response models, necessitating inclusion of other traits.

Keywords:
cavitationdisturbancedrought regimedrought strategiespostfire strategiesresproutingxylem

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Area of Science:

  • Ecology
  • Plant Biology
  • Environmental Science

Background:

  • Plant resprouting is a key trait for predicting vegetation dynamics under disturbance.
  • Current ecological studies often simplify resprouting as a qualitative trait.
  • Understanding plant resilience is crucial in a changing global environment.

Purpose of the Study:

  • To explore the complexities of plant resprouting.
  • To caution against oversimplifying resprouting ability for predicting vegetation responses.
  • To highlight the need for biome-specific and multi-trait approaches in ecological modeling.

Main Methods:

  • Comparative analysis of resprouting across different disturbance types and biomes.
  • Examination of functional traits related to water deficit coping mechanisms.
  • Review of existing ecological models and their limitations.

Main Results:

  • Resprouting varies significantly with disturbance type; fire is particularly severe.
  • Mediterranean biome shows distinct strategies (dehydration avoidance vs. tolerance) in resprouters vs. non-resprouters.
  • Extrapolation of biome-specific findings to global scales is cautioned against.

Conclusions:

  • Plant resprouting is a complex trait influenced by disturbance and biome.
  • Accurate global vegetation models must integrate multiple traits (e.g., seeding, bark thickness) and their inter-correlations.
  • Research findings from specific ecosystems should guide, but not be universally extrapolated to, global ecological predictions.