NDLI: Terrestrial gross primary production inferred from satellite fluorescence and vegetation models.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Parazoo, Nicholas C. Bowman, Kevin Fisher, Joshua B. Frankenberg, Christian Jones, Dylan B. A. Cescatti, Alessandro Pérez-Priego, Oscar Wohlfahrt, Georg Montagnani, Leonardo
Spatial Coverage	South America Europe North America
Description	Country affiliation: United States Author Affiliation: Parazoo NC ( Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA)
Abstract	Determining the spatial and temporal distribution of terrestrial gross primary production (GPP) is a critical step in closing the Earth's carbon budget. Dynamical global vegetation models (DGVMs) provide mechanistic insight into GPP variability but diverge in predicting the response to climate in poorly investigated regions. Recent advances in the remote sensing of solar-induced chlorophyll fluorescence (SIF) opens up a new possibility to provide direct global observational constraints for GPP. Here, we apply an optimal estimation approach to infer the global distribution of GPP from an ensemble of eight DGVMs constrained by global measurements of SIF from the Greenhouse Gases Observing SATellite (GOSAT). These estimates are compared to flux tower data in N. America, Europe, and tropical S. America, with careful consideration of scale differences between models, GOSAT, and flux towers. Assimilation of GOSAT SIF with DGVMs causes a redistribution of global productivity from northern latitudes to the tropics of 7-8 Pg C yr(-1) from 2010 to 2012, with reduced GPP in northern forests (~3.6 Pg C yr(-1) ) and enhanced GPP in tropical forests (~3.7 Pg C yr(-1) ). This leads to improvements in the structure of the seasonal cycle, including earlier dry season GPP loss and enhanced peak-to-trough GPP in tropical forests within the Amazon Basin and reduced growing season length in northern croplands and deciduous forests. Uncertainty in predicted GPP (estimated from the spread of DGVMs) is reduced by 40-70% during peak productivity suggesting the assimilation of GOSAT SIF with models is well-suited for benchmarking. We conclude that satellite fluorescence augurs a new opportunity to quantify the GPP response to climate drivers and the potential to constrain predictions of carbon cycle evolution.
File Format	HTM / HTML
ISSN	13541013
Issue Number	10
Volume Number	20
e-ISSN	13652486
Journal	Global Change Biology
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2014-10-01
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Environmental Health Discipline Biology Chlorophyll Analysis Metabolism Climate Environmental Monitoring Methods Plants Carbon Cycle Europe Fluorescence Models, Theoretical North America Photosynthesis Seasons South America Spacecraft Sunlight Journal Article Research Support, Non-u.s. Gov't Research Support, U.s. Gov't, Non-p.h.s.
Content Type	Text
Resource Type	Article
Subject	Ecology Environmental Chemistry Global and Planetary Change

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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