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Estimating soil carbon stock changes by process-based models and soil inventories: uncertainties and complementarities
Department of Soil and Environment, Swedish University of Agricultural Sciences.
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering, Environmental Physics.
Department of Soil and Environment, Swedish University of Agricultural Sciences.
Department of Plant and Environmental Sciences, Gothenburg University.
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2011 (English)In: Soil Carbon in Sensitive European Ecosystems: From Science to Land Management / [ed] Robert Jandl, Mirco Rodehiero and Mats Olsson, Oxford: Wiley-Blackwell, 2011Chapter in book (Refereed)
Abstract [en]

In this chapter, four examples of scientific questions and challenges in which process-oriented modelling could provide a useful contribution for accounting soil organic carbon (SOC) stocks and changes are presented. These challenges include cases i) when measurements are either time-consuming and/or expensive or there are methodological limitations; ii) an attempt to verify the national soil inventory estimates through comparison with process-based model estimates; iii) prediction of the potential impact on SOC changes due to land-use change; and iv) a comparison of different scenarios for mitigating GHG-emissions. We found that the use of process-based models offers a complementary way to account SOC change and provides an option for assessing the potential impact of climate and land-use change on SOC stocks. However, uncertainty in model estimates is inherent and needs to be communicated. Progress has been made in the assessment of uncertainty and there is growing awareness of how this uncertainty can be communicated. Suggestions for collaborative approaches are presented in order to reduce the uncertainties.

Place, publisher, year, edition, pages
Oxford: Wiley-Blackwell, 2011.
National Category
Environmental Sciences
URN: urn:nbn:se:kth:diva-84452DOI: 10.1002/9781119970255.ch10ScopusID: 2-s2.0-84872694254ISBN: 978-1-119-97001-9OAI: diva2:499654
QC 20120411Available from: 2012-02-13 Created: 2012-02-13 Last updated: 2012-04-11Bibliographically approved

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