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Satellite-Detected Contrasting Responses of Canopy Structure and Leaf Physiology to Drought

Authors :
Hongfan Gu
Gaofei Yin
Yajie Yang
Aleixandre Verger
Adria Descals
Iolanda Filella
Yelu Zeng
Dalei Hao
Qiaoyun Xie
Xing Li
Jingfeng Xiao
Josep Penuelas
Source :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2427-2436 (2023)
Publication Year :
2023
Publisher :
IEEE, 2023.

Abstract

Disentangling drought impacts on plant photosynthesis is crucial for projecting future terrestrial carbon dynamics. We examined the separate responses of canopy structure and leaf physiology to an extreme summer drought that occurred in 2011 over Southwest China, where the weather was humid and radiation was the main growth-limiting factor. Canopy structure and leaf physiology were, respectively, represented by near-infrared reflectance of vegetation (NIRv) derived from MODIS data and leaf scale fluorescence yield (Φf) derived from both continuous SIF (CSIF) and global OCO-2 SIF (GOSIF). We detected contrasting responses of canopy structure and leaf physiology to drought with a 14.0% increase in NIRv, compared with 12.6 or 19.3% decreases in Φf from CSIF and GOSIF, respectively. The increase in structure resulted in a slight carbon change, due to water deficit-induced physiological constraints. The net ecosystem effect was a 7.5% (CSIF), 1.2% (GOSIF), and −2.96% (EC-LUE GPP) change in photosynthesis. Our study improves understanding of complex vegetation responses of plant photosynthesis to drought and may contribute to the reconciliation of contrasting observed directions in plant responses to drought in cloudy regions via remote sensing.

Details

Language :
English
ISSN :
21511535
Volume :
16
Database :
Directory of Open Access Journals
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.876be248751143c29910af195d600abe
Document Type :
article
Full Text :
https://doi.org/10.1109/JSTARS.2023.3247422