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Widespread and complex drought effects on vegetation physiology inferred from space

Environmental Studies and Forestry

Widespread and complex drought effects on vegetation physiology inferred from space

W. Li, J. Pacheco-labrador, et al.

This study conducted by Wantong Li and colleagues explores the intricate relationship between vegetation physiology and drought conditions using advanced remote sensing and machine learning techniques. The findings reveal significant physiological changes driven by drought, with a notable distinction between water-limited and wet regions. Understanding these dynamics is crucial for addressing ecosystem responses in the face of climate change.

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Playback language: English
Abstract
This study investigates the large-scale response of vegetation physiology to drought using remotely sensed data and machine learning. The researchers find that vegetation functional decreases are primarily driven by the downregulation of stomatal conductance and light use efficiency, particularly in water-limited regions. Discrepancies between functional and structural changes under severe drought are observed in wet regions. Model simulations support these findings, highlighting the importance of aridity, hydrometeorological conditions, and vegetation type in controlling physiological drought responses. Isolating and quantifying these responses improves understanding of ecosystem feedback in climate change.
Publisher
Nature Communications
Published On
Aug 15, 2023
Authors
Wantong Li, Javier Pacheco-Labrador, Mirco Migliavacca, Diego Miralles, Anne Hoek van Dijke, Markus Reichstein, Matthias Forkel, Weijie Zhang, Christian Frankenberg, Annu Panwar, Qian Zhang, Ulrich Weber, Pierre Gentine, Rene Orth
Tags
vegetation physiology
drought
remote sensing
machine learning
climate change
stomatal conductance
light use efficiency

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