Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO_2 and chlorophyll fluorescence from GOSAT
- Creators
-
Parazoo, Nicholas C.
- Bowman, Kevin
-
Frankenberg, Christian
- Lee, Jung-Eun
- Fisher, Joshua B.
-
Worden, John
- Jones, Dylan B. A.
- Berry, Joseph
- Collatz, G. James
- Baker, Ian T.
- Jung, Martin
-
Liu, Junjie
- Osterman, Gregory
- O'Dell, Chris
- Sparks, Athena
-
Butz, Andre
- Guerlet, Sandrine
-
Yoshida, Yukio
- Chen, Huilin
-
Gerbig, Christoph
Abstract
Amazon forests exert a major influence on the global carbon cycle, but quantifying the impact is complicated by diverse landscapes and sparse data. Here we examine seasonal carbon balance in southern Amazonia using new measurements of column-averaged dry air mole fraction of CO_2 (XCO_2) and solar induced chlorophyll fluorescence (SIF) from the Greenhouse Gases Observing Satellite (GOSAT) from July 2009 to December 2010. SIF, which reflects gross primary production (GPP), is used to disentangle the photosynthetic component of land-atmosphere carbon exchange. We find that tropical transitional forests in southern Amazonia exhibit a pattern of low XCO_2 during the wet season and high XCO_2 in the dry season that is robust to retrieval methodology and with seasonal amplitude double that of cerrado ecosystems to the east (4 ppm versus 2 ppm), including enhanced dilution of 2.5 ppm in the wet season. Concomitant measurements of SIF, which are inversely correlated with XCO_2 in southern Amazonia (r = −0.53, p < 0.001), indicate that the enhanced variability is driven by seasonal changes in GPP due to coupling of strong vertical mixing with seasonal changes in underlying carbon exchange. This finding is supported by forward simulations of the Goddard Chemistry Transport Model (GEOS-Chem) which show that local carbon uptake in the wet season and loss in the dry season due to emissions by ecosystem respiration and biomass burning produces best agreement with observed XCO_2. We conclude that GOSAT provides critical measurements of carbon exchange in southern Amazonia, but more samples are needed to examine moist Amazon forests farther north.
Additional Information
©2013. American Geophysical Union. Received 7 March 2013; revised 4 April 2013; accepted 5 April 2013; published 6 June 2013. ACOS b2.9 XCO_2 data were produced by the ACOS/OCO-2 project at the Jet Propulsion Laboratory, CalTech, and obtained from the ACOS/OCO-2 data archive maintained at the NASA GES DISC. Development of RemoTeC algorithm is partly funded from ESA's CCI on GHGs and the European Commission's seventh framework program under grant agreement 218793 and by the Emmy-Noether programme of DFG through grant BU2599/1-1. CarbonTracker 2011 results provided by NOAA ESRL, Boulder, Colorado, USA from the website at http://carbontracker.noaa.gov. We thank Prof. Dr. Paulo Artaxo, Dr. Kenia Wiedemann, Fernando Morais, Alcides Ribeiro, University of Saõ Paulo, Brazil, and Livia Oliveira, INPA, Brazil, for their assistance and support in installing and operating the Picarro instrument at the TT34 tower. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. The Editor thanks an anonymous reviewer for his/her assistance in evaluating this paper.Attached Files
Published - interpreting.pdf
Supplemental Material - 2012GL054763readme.txt
Supplemental Material - grl_som.pdf
Files
Additional details
- Alternative title
- Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT
- Eprint ID
- 64616
- Resolver ID
- CaltechAUTHORS:20160219-154725847
- European Space Agency (ESA)
- European Research Council (ERC)
- 218793
- Deutsche Forschungsgemeinschaft (DFG)
- BU2599/1-1
- Keck Institute for Space Studies (KISS)
- Created
-
2016-02-20Created from EPrint's datestamp field
- Updated
-
2021-11-10Created from EPrint's last_modified field
- Caltech groups
- Keck Institute for Space Studies, Division of Geological and Planetary Sciences (GPS)