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Related Experiment Video

Updated: Jun 25, 2025

The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants

The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants

Published on: May 8, 2015

Temperature variations impacting leaf senescence initiation pathways alter leaf fall timing patterns in northern

Weiguang Lang¹, Xiaoqiu Chen¹, Siwei Qian¹

¹College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China.

The Science of the Total Environment

|May 20, 2024

Summary

Leaf fall timing is key for carbon sequestration. This study reveals that day length and temperature cues drive leaf senescence differently across forests, impacting future carbon balance predictions.

Keywords:

Autumn phenology prediction Deciduous broadleaf forests Leaf senescence Photoperiod Process-based modeling Temperature

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Simulating Temperature in a Soil Incubation Experiment

Published on: October 28, 2022

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Last Updated: Jun 25, 2025

The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants

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Published on: May 8, 2015

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Published on: October 25, 2024

Simulating Temperature in a Soil Incubation Experiment

Simulating Temperature in a Soil Incubation Experiment

Published on: October 28, 2022

Area of Science:

Ecology
Remote Sensing
Climate Change Science

Background:

Accurate simulation of leaf fall timing is vital for estimating ecosystem carbon sequestration.
Limited understanding of leaf senescence mechanisms hinders prediction accuracy.

Purpose of the Study:

To fit remote sensing-derived end dates of the growing season (EOS) using process-based models.
To reveal spatial patterns of photoperiod- and temperature-initiated leaf senescence.
To assess the impact of these pathways on EOS prediction and carbon balance.

Main Methods:

Employed advanced process-based models to fit remote sensing-derived EOS data.
Analyzed spatial patterns of leaf senescence initiation cues (photoperiod vs. temperature).
Projected shifts in senescence pathways under climate change scenarios (RCP 4.5 and 8.5).

Main Results:

Pixel-specific models effectively fitted EOS time series.
Leaf senescence was initiated by photoperiod in 67.6% and by temperature in 32.4% of pixels.
Senescence cues varied spatially based on local day length and temperature conditions.

Conclusions:

Increasing autumn temperatures may shift senescence initiation from temperature to photoperiod cues in significant areas.
Forest areas driven by photoperiod may expand northward, delaying EOS prediction.
Plant adaptation to warming could reduce overestimation of ecosystem carbon exchange capacity changes.