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GlobalSoilMap for Soil Organic Carbon Mapping and Modeling
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Edité par CCSD -
les auteurs : Dominique Arrouays, Budiman Minasny, Alex. B. McBratney, Mike Grundy, Neil McKenzie, James Thompson, Alessandro Gimona, Suk Young Hong, Scott Smith, Alfred Hartemink, Songchao Chen, Manuel P. Martin, Vera Leatitia Mulder, Anne C. Richer-de-Forges, Nicolas P.A. Saby, Inakwu Odeh, José Padarian, Glenn Lelyk, Laura Poggio, Igor Savin, Vladimir Stolbovoy, Yiyi Sulaeman, Dedi Nursyamsi, Gan-Lin Zhang, Mogens H. Greve, Zamir Libohova, Philippe Lagacherie, Pierre Roudier, Johan G.B. Leenaars, Gerard B.M. Heuvelink, Luca Montanarella, Panos Panagos, Jon Hempel
les auteurs : Dominique Arrouays, Budiman Minasny, Alex. B. McBratney, Mike Grundy, Neil McKenzie, James Thompson, Alessandro Gimona, Suk Young Hong, Scott Smith, Alfred Hartemink, Songchao Chen, Manuel P. Martin, Vera Leatitia Mulder, Anne C. Richer-de-Forges, Nicolas P.A. Saby, Inakwu Odeh, José Padarian, Glenn Lelyk, Laura Poggio, Igor Savin, Vladimir Stolbovoy, Yiyi Sulaeman, Dedi Nursyamsi, Gan-Lin Zhang, Mogens H. Greve, Zamir Libohova, Philippe Lagacherie, Pierre Roudier, Johan G.B. Leenaars, Gerard B.M. Heuvelink, Luca Montanarella, Panos Panagos, Jon Hempel.
The demand for information on functional soil properties is high and has increased over time. This isespecially true for soil organic carbon (SOC) in the framework of food security and climate change. TheGlobalSoilMap consortium was established in response to such a soaring demand for up-to-date andrelevant soil information. The majority of the data needed to produce GlobalSoilMap soil property mapswill, at least for the first generation, come mainly from archived soil legacy data, which could includepolygon soil maps and point pedon data, and from available co-variates such as climatic data, remotesensing information, geological data, and other forms of environmental information.Several countries have already released products according to the GlobalSoilMap specifications and theproject is rejuvenating soil survey and mapping in many parts of the world. Functional soil property mapshave been produced using digital soil mapping techniques and existing legacy information and madeavailable to the user community for application. In addition, uncertainty has been provided as a 90%prediction interval based on estimated upper and lower class limits. We believe that GlobalSoilMapconstitutes the best available framework and methodology to address global issues about SOC mapping.Main scientific challenges include time related and uncertainties issues.