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Related Concept Videos

Frequency of Spring-Mass System01:17

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Updated: Jan 26, 2026

Molecular Spring Constant Analysis by Biomembrane Force Probe Spectroscopy
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Rethinking false spring risk.

Catherine J Chamberlain1,2, Benjamin I Cook3, Iñaki García de Cortázar-Atauri4

  • 1Arnold Arboretum of Harvard University, Boston, Massachusetts.

Global Change Biology
|April 7, 2019
PubMed
Summary
This summary is machine-generated.

False springs, or late spring freezes, threaten temperate plants and impact ecosystems. More complex studies are needed to accurately predict plant damage and mitigate economic losses from these climate change-exacerbated events.

Keywords:
climate changefalse springforest communitiesfreezing tolerancephenology

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Area of Science:

  • Ecology
  • Plant Biology
  • Climate Science

Background:

  • Temperate plants face significant risks from late spring freezes, commonly termed false springs.
  • These events are major drivers of species distribution and can cause substantial ecological and economic harm.
  • Climate change is altering false spring patterns, increasing the need for accurate forecasting.

Purpose of the Study:

  • To review current metrics for assessing false spring risks and plant vulnerability.
  • To identify factors influencing plant susceptibility to freeze damage.
  • To advocate for more complex, integrated models for predicting false spring impacts.

Main Methods:

  • Literature review of existing false spring research.
  • Analysis of factors contributing to plant risk, including life stage, functional traits, and regional climate.
  • Synthesis of current knowledge on plant tolerance and avoidance strategies.

Main Results:

  • Existing studies often oversimplify false spring risks, limiting predictive accuracy at finer scales.
  • Plant life stage, functional group, morphology, phenology, and regional climate significantly influence freeze damage potential.
  • A deeper understanding of species-specific tolerance, avoidance, and phenological responses is crucial.

Conclusions:

  • Accurate prediction of plant damage from false springs requires integrating more complexity into assessment models.
  • Further research into plant strategies and environmental cues is essential for improving predictions across biological levels.
  • An integrated approach will enhance understanding of plant biology and provide robust forecasts vital for mitigating climate change impacts.