Assessing plant phenological changes based on drivers of spring phenology

Area of Science:

• Ecology
• Plant Biology
• Climate Change Science

Background:

• Predicting plant community shifts under climate warming requires understanding plant phenological responses.
• Current analyses often overlook key drivers of spring phenology, complicating predictions.

Purpose of the Study:

• Introduce a novel metric, phenological lag, to quantify constraints on spring phenology.
• Investigate mechanisms behind differential plant phenological responses globally.

Main Methods:

• Developed a new analytical framework using phenological lag.
• Applied the framework to a global dataset of 980 species and 1527 phenological responses.
• Analyzed factors like winter chilling, photoperiod, temperature, and environmental stress.

Main Results:

• Longer phenological lags observed in experimental studies and for native flowering plants, linked to stressful climates.
• Smaller spring forcing changes explained reduced phenological responses in boreal regions and grasses.
• Higher budburst temperatures contributed to smaller flowering responses in experimental settings and for herbs/grasses.

Conclusions:

• The phenological lag metric effectively identifies mechanisms driving spring phenological changes.
• Understanding these lags is crucial for accurate ecological forecasting in a warming world.