GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling

D. Arrouays, B. Minasny, A. McBratney, Mike Grundy, Neil McKenzie, James Thompson, Alessandro Gimona, Suk Young Hong, Scott Smith, A.E. Hartemink, Songchao Chen, Manuel P. Martin, V.L. Mulder, A.C. Richer-de-Forges, Inakwu Odeh, José Padarian, Glenn Lelyk, Laura Poggio, Igor Savin, Vladimir Stolbovoy & 5 others J.G.B. Leenaars, G.B.M. Heuvelink, Luca Montanarella, P. Panagos, Jon Hempel

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

The demand for information on functional soil properties is high and has increased over time. This is especially true for soil organic carbon (SOC) in the framework of food security and climate change. The GlobalSoilMap consortium was established in response to such a soaring demand for up-to-date and relevant soil information. The majority of the data needed to produce GlobalSoilMap soil property maps will, at least for the first generation, come mainly from archived soil legacy data, which could include polygon soil maps and point pedon data, and from available co-variates such as climatic data, remote sensing information, geological data, and other forms of environmental information.
Several countries have already released products according to the GlobalSoilMap specifications and the project is rejuvenating soil survey and mapping in many parts of the world. Functional soil property maps have been produced using digital soil mapping techniques and existing legacy information and made available 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 GlobalSoilMap constitutes the best available framework and methodology to address global issues about SOC mapping. Main scientific challenges include time related and uncertainties issues.
Original languageEnglish
Title of host publicationProceedings of the global symposium on soil organic carbon 2017
PublisherFAO
Pages27-30
Publication statusPublished - 2017
EventGlobal Symposium on Soil Organic Carbon - FAO, Rome, Italy
Duration: 21 Mar 201723 Mar 2017

Conference

ConferenceGlobal Symposium on Soil Organic Carbon
CountryItaly
CityRome
Period21/03/1723/03/17

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organic carbon
soil property
modeling
soil
pedon
soil survey
polygon
food security
remote sensing
climate change
methodology
prediction
demand

Cite this

Arrouays, D., Minasny, B., McBratney, A., Grundy, M., McKenzie, N., Thompson, J., ... Hempel, J. (2017). GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling. In Proceedings of the global symposium on soil organic carbon 2017 (pp. 27-30). FAO.
Arrouays, D. ; Minasny, B. ; McBratney, A. ; Grundy, Mike ; McKenzie, Neil ; Thompson, James ; Gimona, Alessandro ; Hong, Suk Young ; Smith, Scott ; Hartemink, A.E. ; Chen, Songchao ; Martin, Manuel P. ; Mulder, V.L. ; Richer-de-Forges, A.C. ; Odeh, Inakwu ; Padarian, José ; Lelyk, Glenn ; Poggio, Laura ; Savin, Igor ; Stolbovoy, Vladimir ; Leenaars, J.G.B. ; Heuvelink, G.B.M. ; Montanarella, Luca ; Panagos, P. ; Hempel, Jon. / GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling. Proceedings of the global symposium on soil organic carbon 2017. FAO, 2017. pp. 27-30
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title = "GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling",
abstract = "The demand for information on functional soil properties is high and has increased over time. This is especially true for soil organic carbon (SOC) in the framework of food security and climate change. The GlobalSoilMap consortium was established in response to such a soaring demand for up-to-date and relevant soil information. The majority of the data needed to produce GlobalSoilMap soil property maps will, at least for the first generation, come mainly from archived soil legacy data, which could include polygon soil maps and point pedon data, and from available co-variates such as climatic data, remote sensing information, geological data, and other forms of environmental information.Several countries have already released products according to the GlobalSoilMap specifications and the project is rejuvenating soil survey and mapping in many parts of the world. Functional soil property maps have been produced using digital soil mapping techniques and existing legacy information and made available 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 GlobalSoilMap constitutes the best available framework and methodology to address global issues about SOC mapping. Main scientific challenges include time related and uncertainties issues.",
author = "D. Arrouays and B. Minasny and A. McBratney and Mike Grundy and Neil McKenzie and James Thompson and Alessandro Gimona and Hong, {Suk Young} and Scott Smith and A.E. Hartemink and Songchao Chen and Martin, {Manuel P.} and V.L. Mulder and A.C. Richer-de-Forges and Inakwu Odeh and Jos{\'e} Padarian and Glenn Lelyk and Laura Poggio and Igor Savin and Vladimir Stolbovoy and J.G.B. Leenaars and G.B.M. Heuvelink and Luca Montanarella and P. Panagos and Jon Hempel",
year = "2017",
language = "English",
pages = "27--30",
booktitle = "Proceedings of the global symposium on soil organic carbon 2017",
publisher = "FAO",

}

Arrouays, D, Minasny, B, McBratney, A, Grundy, M, McKenzie, N, Thompson, J, Gimona, A, Hong, SY, Smith, S, Hartemink, AE, Chen, S, Martin, MP, Mulder, VL, Richer-de-Forges, AC, Odeh, I, Padarian, J, Lelyk, G, Poggio, L, Savin, I, Stolbovoy, V, Leenaars, JGB, Heuvelink, GBM, Montanarella, L, Panagos, P & Hempel, J 2017, GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling. in Proceedings of the global symposium on soil organic carbon 2017. FAO, pp. 27-30, Global Symposium on Soil Organic Carbon, Rome, Italy, 21/03/17.

GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling. / Arrouays, D.; Minasny, B.; McBratney, A.; Grundy, Mike; McKenzie, Neil; Thompson, James; Gimona, Alessandro; Hong, Suk Young; Smith, Scott; Hartemink, A.E.; Chen, Songchao; Martin, Manuel P.; Mulder, V.L.; Richer-de-Forges, A.C.; Odeh, Inakwu; Padarian, José; Lelyk, Glenn; Poggio, Laura; Savin, Igor; Stolbovoy, Vladimir; Leenaars, J.G.B.; Heuvelink, G.B.M.; Montanarella, Luca; Panagos, P.; Hempel, Jon.

Proceedings of the global symposium on soil organic carbon 2017. FAO, 2017. p. 27-30.

Research output: Chapter in Book/Report/Conference proceedingConference paper

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T1 - GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling

AU - Arrouays, D.

AU - Minasny, B.

AU - McBratney, A.

AU - Grundy, Mike

AU - McKenzie, Neil

AU - Thompson, James

AU - Gimona, Alessandro

AU - Hong, Suk Young

AU - Smith, Scott

AU - Hartemink, A.E.

AU - Chen, Songchao

AU - Martin, Manuel P.

AU - Mulder, V.L.

AU - Richer-de-Forges, A.C.

AU - Odeh, Inakwu

AU - Padarian, José

AU - Lelyk, Glenn

AU - Poggio, Laura

AU - Savin, Igor

AU - Stolbovoy, Vladimir

AU - Leenaars, J.G.B.

AU - Heuvelink, G.B.M.

AU - Montanarella, Luca

AU - Panagos, P.

AU - Hempel, Jon

PY - 2017

Y1 - 2017

N2 - The demand for information on functional soil properties is high and has increased over time. This is especially true for soil organic carbon (SOC) in the framework of food security and climate change. The GlobalSoilMap consortium was established in response to such a soaring demand for up-to-date and relevant soil information. The majority of the data needed to produce GlobalSoilMap soil property maps will, at least for the first generation, come mainly from archived soil legacy data, which could include polygon soil maps and point pedon data, and from available co-variates such as climatic data, remote sensing information, geological data, and other forms of environmental information.Several countries have already released products according to the GlobalSoilMap specifications and the project is rejuvenating soil survey and mapping in many parts of the world. Functional soil property maps have been produced using digital soil mapping techniques and existing legacy information and made available 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 GlobalSoilMap constitutes the best available framework and methodology to address global issues about SOC mapping. Main scientific challenges include time related and uncertainties issues.

AB - The demand for information on functional soil properties is high and has increased over time. This is especially true for soil organic carbon (SOC) in the framework of food security and climate change. The GlobalSoilMap consortium was established in response to such a soaring demand for up-to-date and relevant soil information. The majority of the data needed to produce GlobalSoilMap soil property maps will, at least for the first generation, come mainly from archived soil legacy data, which could include polygon soil maps and point pedon data, and from available co-variates such as climatic data, remote sensing information, geological data, and other forms of environmental information.Several countries have already released products according to the GlobalSoilMap specifications and the project is rejuvenating soil survey and mapping in many parts of the world. Functional soil property maps have been produced using digital soil mapping techniques and existing legacy information and made available 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 GlobalSoilMap constitutes the best available framework and methodology to address global issues about SOC mapping. Main scientific challenges include time related and uncertainties issues.

M3 - Conference paper

SP - 27

EP - 30

BT - Proceedings of the global symposium on soil organic carbon 2017

PB - FAO

ER -

Arrouays D, Minasny B, McBratney A, Grundy M, McKenzie N, Thompson J et al. GlobalSoilMap for Soil Organic Carbon Mapping and as a Basis for Global Modeling. In Proceedings of the global symposium on soil organic carbon 2017. FAO. 2017. p. 27-30