New techniques and data for understanding the global soil respiration flux

Bond-Lamberty, Benjamin

doi:10.1029/2018EF000866

New techniques and data for understanding the global soil respiration flux

Journal Article · Sat Sep 01 04:00:00 EDT 2018 · Earth's Future

DOI:https://doi.org/10.1029/2018EF000866· OSTI ID:1591864

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BATTELLE (PACIFIC NW LAB)

Soil 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) 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 raise interesting questions about the Rs response to climate change, the availability of data to support such approaches, and possibility for further leveraging the long record of observed Rs in global ecosystems.

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-76RL01830

OSTI ID:: 1591864

Report Number(s):: PNNL-SA-133178

Journal Information:: Earth's Future, Journal Name: Earth's Future Journal Issue: 9 Vol. 6

Country of Publication:: United States

Language:: English

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New Techniques and Data for Understanding the Global Soil Respiration Flux

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