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Related Experiment Video

Updated: Jun 5, 2025

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

Published on: December 27, 2017

Large global-scale vegetation sensitivity to daily rainfall variability.

Andrew F Feldman^1,2, Alexandra G Konings³, Pierre Gentine⁴

¹Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA. andrew.feldman@nasa.gov.

|December 11, 2024

Summary

This summary is machine-generated.

Global vegetation photosynthesis is sensitive to daily rainfall patterns, not just total amounts. Changes in rainfall frequency and intensity significantly impact plant growth and the carbon cycle.

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Last Updated: Jun 5, 2025

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

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Published on: December 27, 2017

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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Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

Area of Science:

Climate Science
Ecology
Remote Sensing

Background:

Global climate change is altering rainfall patterns, leading to less frequent but more intense rainfall events.
The impact of these shifts in daily rainfall variability on terrestrial vegetation photosynthesis and growth remains largely uncertain, despite stable annual rainfall totals.

Purpose of the Study:

To investigate the sensitivity of global vegetation photosynthesis and growth to daily rainfall variability, independent of annual rainfall amounts.
To quantify the extent and magnitude of vegetation's response to changes in daily rainfall frequency and intensity.

Main Methods:

Utilized satellite-based vegetation indices (e.g., NDVI, EVI) as proxies for photosynthesis and growth.
Integrated field observations to validate satellite data.
Analyzed the relationship between daily rainfall metrics (frequency, intensity) and vegetation indices across global vegetated land surfaces.

Main Results:

Global annual-scale vegetation indices demonstrate significant sensitivity to the daily frequency and intensity of rainfall, irrespective of the total annual rainfall.
Approximately 42% of vegetated land surfaces show sensitivity to daily rainfall variability.
The impact of daily rainfall variability on vegetation is nearly as substantial as the impact of annual rainfall totals.

Conclusions:

Daily rainfall variability is a critical factor influencing global vegetation photosynthesis and growth.
Projected changes in wet-day frequency and intensity mirror those in annual rainfall, suggesting significant future impacts.
These findings have crucial implications for understanding the global carbon cycle and ensuring food security under changing climate conditions.