4.7 Article

Soil organic carbon is not just for soil scientists: measurement recommendations for diverse practitioners

期刊

ECOLOGICAL APPLICATIONS
卷 31, 期 3, 页码 -

出版社

WILEY
DOI: 10.1002/eap.2290

关键词

global C cycle; soil– climate feedbacks; standardized soil methods

资金

  1. NSF [EAR-1123454]
  2. state of Kansas through the Kansas Board of Regents [EPSCoR-0079054]
  3. NSF's Central Arizona-Phoenix LTER program [DEB-1832016, DEB-1637522]
  4. USDA NIFA Postdoctoral Fellowship
  5. NSF's Cedar Creek LTER program [DEB-1234162]
  6. Oak Ridge National Laboratory
  7. NSF's Luquillo LTER program [NSF DEB-1831952, EAR-1331841, DEB-1457805]
  8. Department of Energy's Next Generation Ecosystem Experiments project
  9. NSF's National Ecological Observatory Network program
  10. Niwot Ridge LTER program [NSF DEB-1637686]
  11. UT-Battelle, LLC [DE-AC05-00OR22725]
  12. U.S. Department of Energy (DOE)
  13. U.S. government
  14. DOE Public Access Plan

向作者/读者索取更多资源

Soil organic carbon (SOC) plays a crucial role in regulating terrestrial ecosystem functioning, and standardized sampling of SOC data is helpful for research in various disciplines. With robust technologies available for managing large data sets, efforts to expand SOC data sets through standardized protocols are important in advancing ecological research.
Soil organic carbon (SOC) regulates terrestrial ecosystem functioning, provides diverse energy sources for soil microorganisms, governs soil structure, and regulates the availability of organically bound nutrients. Investigators in increasingly diverse disciplines recognize how quantifying SOC attributes can provide insight about ecological states and processes. Today, multiple research networks collect and provide SOC data, and robust, new technologies are available for managing, sharing, and analyzing large data sets. We advocate that the scientific community capitalize on these developments to augment SOC data sets via standardized protocols. We describe why such efforts are important and the breadth of disciplines for which it will be helpful, and outline a tiered approach for standardized sampling of SOC and ancillary variables that ranges from simple to more complex. We target scientists ranging from those with little to no background in soil science to those with more soil-related expertise, and offer examples of the ways in which the resulting data can be organized, shared, and discoverable.

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