Carbon Management (Nov 2019)

Quantifying carbon for agricultural soil management: from the current status toward a global soil information system

  • Keith Paustian,
  • Sarah Collier,
  • Jeff Baldock,
  • Rachel Burgess,
  • Jeff Creque,
  • Marcia DeLonge,
  • Jennifer Dungait,
  • Ben Ellert,
  • Stefan Frank,
  • Tom Goddard,
  • Bram Govaerts,
  • Mike Grundy,
  • Mark Henning,
  • R. César Izaurralde,
  • Mikuláš Madaras,
  • Brian McConkey,
  • Elizabeth Porzig,
  • Charles Rice,
  • Ross Searle,
  • Nathaniel Seavy,
  • Rastislav Skalsky,
  • William Mulhern,
  • Molly Jahn

DOI
https://doi.org/10.1080/17583004.2019.1633231
Journal volume & issue
Vol. 10, no. 6
pp. 567 – 587

Abstract

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The importance of building/maintaining soil carbon, for soil health and CO2 mitigation, is of increasing interest to a wide audience, including policymakers, NGOs and land managers. Integral to any approaches to promote carbon sequestering practices in managed soils are reliable, accurate and cost-effective means to quantify soil C stock changes and forecast soil C responses to different management, climate and edaphic conditions. While technology to accurately measure soil C concentrations and stocks has been in use for decades, many challenges to routine, cost-effective soil C quantification remain, including large spatial variability, low signal-to-noise and often high cost and standardization issues for direct measurement with destructive sampling. Models, empirical and process-based, may provide a cost-effective and practical means for soil C quantification to support C sequestration policies. Examples are described of how soil science and soil C quantification methods are being used to support domestic climate change policies to promote soil C sequestration on agricultural lands (cropland and grazing land) at national and provincial levels in Australia and Canada. Finally, a quantification system is outlined – consisting of well-integrated data-model frameworks, supported by expanded measurement and monitoring networks, remote sensing and crowd-sourcing of management activity data – that could comprise the core of a new global soil information system.

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