DOI: 10.1111/gcb.12652
论文题名: Terrestrial gross primary production inferred from satellite fluorescence and vegetation models
作者: Parazoo N.C. ; Bowman K. ; Fisher J.B. ; Frankenberg C. ; Jones D.B.A. ; Cescatti A. ; Pérez-Priego O. ; Wohlfahrt G. ; Montagnani L.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期: 10 起始页码: 3103
结束页码: 3121
语种: 英语
英文关键词: Amazon
; Carbon cycle
; Climate change
; Flux towers
; Model benchmarking
; Water stress
Scopus关键词: benchmarking
; carbon budget
; carbon cycle
; climate change
; ecosystem modeling
; GOSAT
; primary production
; terrestrial ecosystem
; vegetation
; water stress
; Amazon Basin
; Europe
; North America
; chlorophyll
; carbon cycle
; climate
; environmental monitoring
; Europe
; fluorescence
; metabolism
; North America
; photosynthesis
; plant
; procedures
; season
; South America
; space flight
; sunlight
; theoretical model
; Carbon Cycle
; Chlorophyll
; Climate
; Environmental Monitoring
; Europe
; Fluorescence
; Models, Theoretical
; North America
; Photosynthesis
; Plants
; Seasons
; South America
; Spacecraft
; Sunlight
英文摘要: 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. © 2014 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62083
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, United States; Department of Physics, University of Toronto, Toronto, ON, Canada; European Commission, Joint Research Center, Institute for Environment and Sustainability, Ispra, Italy; Departamento de Física Aplicada, Universidad de Granada, Granada, Spain; Institut für ökologie, Universität Innsbruck, Sternwartestr. 15, Innsbruck, Austria; Forest Services, Autonomous Province of Bolzano, Via Brennero 6, Bolzano, Italy; Faculty of Science and Technology, Free University of Bolzano, Piazza Università 5, Bolzano, Italy
Recommended Citation:
Parazoo N.C.,Bowman K.,Fisher J.B.,et al. Terrestrial gross primary production inferred from satellite fluorescence and vegetation models[J]. Global Change Biology,2014-01-01,20(10)