New Techniques and Data for Understanding the Global Soil Respiration Flux

Ben Bond‐Lamberty

doi:10.1029/2018ef000866

journal article Open Access Sep 01, 2018

New Techniques and Data for Understanding the Global Soil Respiration Flux

Ben Bond‐Lamberty

Earth's Future Vol. 6 No. 9 pp. 1176-1180 · American Geophysical Union (AGU)

View at Publisher Save 10.1029/2018ef000866

Abstract

AbstractSoil respiration (Rs; the soil surface‐to‐atmosphere CO2 flux) has been measured in the field for decades, but only recently have we begun to assemble and leverage these small‐scale but extensive data. Recently, Zhao et al. (2017, https://doi.org/10.1002/2016ef000480) applied a novel artificial neural network model to the problem of estimating the global Rs flux and understanding its variations between regions and biomes. Their results point to a convergence in estimates of global Rs, and the power of leveraging the long record of observed Rs in global ecosystems, but also to uncertainties about soils' response to climate change. It will take a combination of long‐term studies, data syntheses, modeling intercomparisons, and probably a new generation of sampling networks and experiments to fully resolve these questions.

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Metrics

60

Citations

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References

Details

Published: Sep 01, 2018
Vol/Issue: 6(9)
Pages: 1176-1180
License: View

Authors

B

Ben Bond‐Lamberty

Pacific Northwest National Laboratory Joint Global Change Research Institute at the University of Maryland College Park MD USA

Funding

Battelle Award: DE‐AC05‐76RL01830

U.S. Department of Energy

Cite This Article

Ben Bond‐Lamberty (2018). New Techniques and Data for Understanding the Global Soil Respiration Flux. Earth's Future, 6(9), 1176-1180. https://doi.org/10.1029/2018ef000866

New Techniques and Data for Understanding the Global Soil Respiration Flux

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