Variability of Remotely Sensed Solar-Induced Chlorophyll Fluorescence in Relation to Climate Indices

Global remote sensing of solar-induced fluorescence (SIF), a proxy for plant photosynthetic activity, represents a breakthrough in the systematic observation of global-scale gross primary production and other ecosystem functions. Here, we hypothesize that all earth ecosystem variabilities, including...

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Published inEnvironments (Basel, Switzerland) Vol. 9; no. 9; p. 121
Main Authors He, Katherine, Li, Wenhong, He, Ruoying
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2022
Subjects
Atmosphere
Chlorophyll
Climate
Climate change
climate indices
El Nino
Empirical analysis
Environmental aspects
Fluorescence
Global ozone monitoring experiment
GOME-2
La Nina
Nitrogen dioxide
Oceans
Orthogonal functions
Photosynthesis
Pollution monitoring
Precipitation
Primary production
Primary productivity (Biology)
Rain
Remote sensing
Satellite observation
Satellites
solar-induced chlorophyll fluorescence
Temperature
Time series
Variability
United States
Alaska
Mexico
United States > US
North America
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Summary:Global remote sensing of solar-induced fluorescence (SIF), a proxy for plant photosynthetic activity, represents a breakthrough in the systematic observation of global-scale gross primary production and other ecosystem functions. Here, we hypothesize that all earth ecosystem variabilities, including SIF, are affected by climate variations. The main contribution of this study is to apply a global empirical orthogonal function (EOF) analysis of SIF to quantify the relations between the large-scale GPP variability and climate variations. We used 2007–2019 SIF data derived from the Global Ozone Monitoring Experiment-2 (GOME-2) satellite sensor observations and a rotated empirical orthogonal function (EOF) analysis to explore global SIF variability over years and decades. The first leading EOF mode captures the well-known ENSO pattern, with most of the variance over continents in the tropical Pacific and Indian Oceans. The second and third leading EOF modes in SIF variability are significantly related to the NAO and PDO climate indices, respectively. Our analysis also shows that the 2011 La Niña (2015 El Niño) elevated (decreased) global SIF.
ISSN:2076-3298
2076-3298
DOI:10.3390/environments9090121