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The landscape of soil carbon data: emerging questions, synergies and databases
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Number of Authors: 152019 (English)In: Progress in physical geography, ISSN 0309-1333, E-ISSN 1477-0296, Vol. 43, no 5, p. 707-719Article in journal (Refereed) Published
Abstract [en]

Soil carbon has been measured for over a century in applications ranging from understanding biogeochemical processes in natural ecosystems to quantifying the productivity and health of managed systems. Consolidating diverse soil carbon datasets is increasingly important to maximize their value, particularly with growing anthropogenic and climate change pressures. In this progress report, we describe recent advances in soil carbon data led by the International Soil Carbon Network and other networks. We highlight priority areas of research requiring soil carbon data, including (a) quantifying boreal, arctic and wetland carbon stocks, (b) understanding the timescales of soil carbon persistence using radiocarbon and chronosequence studies, (c) synthesizing long-term and experimental data to inform carbon stock vulnerability to global change, (d) quantifying root influences on soil carbon and (e) identifying gaps in model-data integration. We also describe the landscape of soil datasets currently available, highlighting their strengths, weaknesses and synergies. Now more than ever, integrated soil data are needed to inform climate mitigation, land management and agricultural practices. This report will aid new data users in navigating various soil databases and encourage scientists to make their measurements publicly available and to join forces to find soil-related solutions.

Place, publisher, year, edition, pages
2019. Vol. 43, no 5, p. 707-719
Keywords [en]
Soil carbon data, soil database, wetland carbon, soil chronosequence, soil radiocarbon, long-term ecological research, root traits, soil carbon stabilization, model-data integration
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-174867DOI: 10.1177/0309133319873309ISI: 000485495900001OAI: oai:DiVA.org:su-174867DiVA, id: diva2:1360799
Available from: 2019-10-14 Created: 2019-10-14 Last updated: 2019-11-11Bibliographically approved

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Malhotra, AvniBatjes, Niels H.Hoyt, Alison M.Hugelius, Gustaf
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