English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations

Zscheischler, J., Mahecha, M. D., Avitabile, V., Calle, L., Carvalhais, N., Ciais, P., et al. (2017). Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations. Biogeosciences, 14(15), 3685-3703. doi:10.5194/bg-14-3685-2017.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-B08C-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-3F44-B
Genre: Journal Article

Files

show Files
hide Files
:
BGC2542D.pdf (Publisher version), 3MB
Name:
BGC2542D.pdf
Description:
Discussion paper
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
BGC2542s1.pdf (Supplementary material), 457KB
Name:
BGC2542s1.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
BGC2542.pdf (Publisher version), 2MB
Name:
BGC2542.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
http://dx.doi.org/10.5194/bg-14-3685-2017 (Publisher version)
Description:
OA

Creators

show
hide
 Creators:
Zscheischler, Jakob1, Author              
Mahecha, Miguel D.1, Author              
Avitabile, Valerio, Author
Calle, Leonardo, Author
Carvalhais, Nuno2, Author              
Ciais, Philippe, Author
Gans, Fabian1, Author              
Gruber, Nicolas, Author
Hartmann, Jens, Author
Herold, Martin, Author
Ichii, Kazuhito, Author
Jung, Martin3, Author              
Landschützer, Peter, Author
Laruelle, Goulven G., Author
Lauerwald, Ronny, Author
Papale, Dario, Author
Peylin, Philippe, Author
Poulter, Benjamin, Author
Ray, Deepak, Author
Regnier, Pierre, Author
Rödenbeck, Christian4, Author              Roman-Cuesta, Rosa M., AuthorSchwalm, Christopher, AuthorTramontana, Gianluca, AuthorTyukavina, Alexandra T., AuthorValentini, Ricardo, Authorvan der Werf, Guido, AuthorWest, Tristram O., AuthorWolf, Julie E., AuthorReichstein, Markus5, Author               more..
Affiliations:
1Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938312              
2Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
3Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938311              
4Inverse Data-driven Estimation, Dr. C. Rödenbeck, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497785              
5Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

Content

show
hide
Free keywords: Earth Observations, In-situ Observations, Essential Ecosystem Variables, Regional Validation; Biosphere Atmosphere Change Index
 Abstract: Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface-atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of vertical oceanic, inland freshwaters and terrestrial carbon dioxide (CO2) exchange. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface-atmosphere CO2 fluxes from 2001 and 2010, to identify the state of today’s observational opportunities and data limitation. The considered fluxes include vertical net exchange of open oceans, continental shelves, estuaries, rivers, and lakes, as well as CO2 fluxes related to gross primary productivity, terrestrial ecosystem respiration, fire emissions, loss of tropical aboveground C, harvested wood and crops, as well as fossil fuel and cement emissions. Spatially explicit CO2 fluxes are obtained through geostatistical and/or remote sensing-based upscaling; minimizing biophysical or biogeochemical assumptions encoded in process-based models. We estimate a global bottom-up net C exchange (NCE) between the surface (land, ocean, and coastal areas) and the atmosphere. Uncertainties for NCE and its components are derived using resampling. In most continental regions our NCE estimates agree well with independent estimates from other sources. This holds for Europe (mean ±1 SD: 0.80 ± 0.16 PgC/yr, positive numbers are sources to the atmosphere), Russia (−0.02 ± 0.49 PgC/yr), East Asia (1.76 ± 0.38 PgC/yr), South Asia (0.25 ± 0.16 PgC/yr), and Australia (0.22 ± 0.47 PgC/yr). Our NCE estimates also suggest large C sink in tropical areas. The global NCE estimate is −6.07 ± 3.38 PgC/yr. This global bottom-up value is the opposite direction of what is expected from the atmospheric growth rate of CO2, and would require an offsetting surface C source of 4.27±0.10 PgC/yr. This mismatch highlights large knowledge and observational gaps in tropical areas, particularly in South America, Africa, and Southeast Asia, but also in North America. Our uncertainty assessment provides the basis for designing new observation campaigns. In particular, we lack seasonal monitoring of shelf, estuary and inland water-atmosphere C exchange. Also, extensive pCO2 measurements are missing in the Southern Ocean. Most importantly, tropical land C fluxes suffer from a lack of in-situ observations. The consistent derivation of data uncertainties could serve as prior knowledge in multi-criteria optimization such as the Carbon Cycle Data Assimilation System (CCDAS) without overstating data credibility. Furthermore, the spatially explicit flux estimates may be used as a starting point to assess the validity of countries’ claims of reducing net C emissions in climate change negotiations.

Details

show
hide
Language(s):
 Dates: 2017-06-282017-08-092017-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: Other: BGC2542
DOI: 10.5194/bg-14-3685-2017
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : BACI
Grant ID : 640176
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

Source 1

show
hide
Title: Biogeosciences
  Other : Biogeosciences
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Pages: - Volume / Issue: 14 (15) Sequence Number: - Start / End Page: 3685 - 3703 Identifier: ISSN: 1726-4170
CoNE: /journals/resource/111087929276006