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Biogeosciences An interactive open-access journal of the European Geosciences Union
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BG | Articles | Volume 16, issue 11
Biogeosciences, 16, 2269–2284, 2019
https://doi.org/10.5194/bg-16-2269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 16, 2269–2284, 2019
https://doi.org/10.5194/bg-16-2269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Jun 2019

Research article | 04 Jun 2019

Global satellite-driven estimates of heterotrophic respiration

Alexandra G. Konings et al.

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Cited articles

Adachi, M., Ito, A., Yonemura, S., and Takeuchi, W.: Estimation of global soil respiration by accounting for land-use changes derived from remote sensing data, J. Environ. Manage., 200, 97–104, https://doi.org/10.1016/j.jenvman.2017.05.076, 2017. 
Alemohammad, S. H., Fang, B., Konings, A. G., Aires, F., Green, J. K., Kolassa, J., Miralles, D., Prigent, C., and Gentine, P.: Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence, Biogeosciences, 14, 4101–4124, https://doi.org/10.5194/bg-14-4101-2017, 2017. 
Amthor, J.: The McCree–de Wit–Penning de Vries–Thornley Respiration Paradigms: 30 Years Later, Ann. Bot., 86, 1–20, https://doi.org/10.1006/anbo.2000.1175, 2000. 
Anav, A., Friedlingstein, P., Beer, C., Ciais, P., Harper, A., Jones, C., Murray-Tortarolo, G., Papale, D., Parazoo, N. C., Peylin, P., Piao, S., Sitch, S., Viovy, N., Wiltshire, A., and Zhao, M.: Spatio-temporal patterns of terrestrial gross primary production: A review, Rev. Geophys., 53, 1944–9208, https://doi.org/10.1002/2015RG000483, 2015. 
Asefi-Najafabady, S., Rayner, P. J., Gurney, K. R., Mcrobert, A., Song, Y., Coltin, K., Huang, J., Elvidge, C., and Baugh, K.: A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of results, J. Geophys. Res.-Atmos., 119, 213–210, https://doi.org/10.1002/2013JD021296, 2014. 
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We estimate heterotrophic respiration (Rh) – the respiration from microbes in the soil – using satellite estimates of the net carbon flux and other quantities. Rh is an important carbon flux but is rarely studied by itself. Our method is the first to estimate how Rh varies in both space and time. The resulting new estimate of Rh is compared to the best currently available alternative, which is based on interpolating field measurements globally. The two estimates disagree and are both uncertain.
We estimate heterotrophic respiration (Rh) – the respiration from microbes in the soil –...
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