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Related Concept Videos

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Related Experiment Video

Updated: Aug 16, 2025

Measurement of Leaf Hydraulic Conductance and Stomatal Conductance and Their Responses to Irradiance and Dehydration Using the Evaporative Flux Method EFM
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Earlier leaf senescence dates are constrained by soil moisture.

Xiaoyue Wang1,2, Chaoyang Wu1,2, Ying Liu3

  • 1The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.

Global Change Biology
|December 21, 2022
PubMed
Summary

Soil moisture significantly impacts autumn leaf senescence dates (LSD) across the Northern Hemisphere, more than temperature or precipitation. A new model incorporating soil moisture improves predictions of vegetation phenology changes.

Keywords:
autumn phenologyclimate warmingleaf senescence datesoil moisture

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Area of Science:

  • Ecology
  • Climate Science
  • Plant Phenology

Background:

  • Recent decades show unprecedented warming causing later autumn leaf senescence dates (LSD) in the Northern Hemisphere.
  • Significant uncertainties remain regarding the influence of soil moisture on these delaying trends.

Purpose of the Study:

  • To quantify the impact of soil moisture changes on autumn LSD.
  • To develop and validate a new model for predicting LSD that incorporates soil moisture.

Main Methods:

  • Developed a novel soil-moisture-constrained cooling degree days (CDD_SM) model.
  • Compared CDD_SM model performance against CDD, Delpierre, and spring-influenced autumn models.
  • Utilized observational data from 1982-2015 and future climate scenarios (SSP126, SSP585).

Main Results:

  • Soil moisture changes substantially impacted autumn LSD in one-fifth of vegetated areas (>30° N) from 1982-2015.
  • The CDD_SM model demonstrated superior performance in LSD modeling, especially in arid/semi-arid regions.
  • Future projections indicate earlier LSD under both SSP126 and SSP585 scenarios compared to other models.

Conclusions:

  • Soil moisture is a critical factor regulating autumn LSD and vegetation phenology.
  • The CDD_SM model improves simulations of vegetation phenology responses to climate change.
  • Accurate LSD modeling requires integrating soil moisture dynamics.