GlobalSoilMap for Soil Organic Carbon Mapping and Modeling
Dominique Arrouays
(1)
,
Budiman Minasny
(2)
,
Alex B. Mcbratney
(2)
,
Mike Grundy
(3)
,
Neil Mckenzie
(3)
,
James Thompson
(4)
,
Alessandro Gimona
(5)
,
Suk Young Hong
(6)
,
Scott Smith
(7)
,
Alfred Hartemink
(8)
,
Songchao Chen
(1)
,
Manuel Martin
(1)
,
Vera Leatitia Mulder
(9)
,
Anne C Richer-De-Forges
(1)
,
Inakwu Odeh
(2)
,
José Padarian
(2)
,
Glenn Lelyk
(7)
,
Laura Poggio
(5)
,
Igor Savin
(10)
,
Vladimir Stolbovoi
(11)
,
Yiyi Sulaeman
(12)
,
Dedi Nursyamsi
(12)
,
Gan-Lin Zhang
(13)
,
Mogens H. Greve
(14)
,
Zamir Libohova
(15)
,
Philippe Lagacherie
(16)
,
Pierre Roudier
(17)
,
Johan G. B. Leenaars
(18)
,
Gerard B. M. Heuvelink
(18)
,
Luca Montanarella
(19)
,
Panos Panagos
(19)
,
Jon Hempel
(20)
1
InfoSol -
InfoSol
2 University of Sydney
3 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
4 USDA-NRCS National Soil Survey Center
5 The James Hutton Institute
6 Rural Development Administration
7 AAFC - Agriculture and Agri-Food
8 University of Wisconsin-Madison
9 WUR - Wageningen University and Research [Wageningen]
10 People's Friendship University of Russia
11 SSI - Dokuchaev Soil Science Institute
12 IAARD - Indonesian Agency for Agricultural Research and Development
13 Institute of Soil Science
14 Aarhus University [Aarhus]
15 USDA-NRCS ational Soil Survey Center
16 UMR LISAH - Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème
17 Manaaki Whenua – Landcare Research [Lincoln]
18 ISRIC - World Soil Information
19 IES - JRC Institute for Environment and Sustainability
20 Department of Land Resource Management
2 University of Sydney
3 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
4 USDA-NRCS National Soil Survey Center
5 The James Hutton Institute
6 Rural Development Administration
7 AAFC - Agriculture and Agri-Food
8 University of Wisconsin-Madison
9 WUR - Wageningen University and Research [Wageningen]
10 People's Friendship University of Russia
11 SSI - Dokuchaev Soil Science Institute
12 IAARD - Indonesian Agency for Agricultural Research and Development
13 Institute of Soil Science
14 Aarhus University [Aarhus]
15 USDA-NRCS ational Soil Survey Center
16 UMR LISAH - Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème
17 Manaaki Whenua – Landcare Research [Lincoln]
18 ISRIC - World Soil Information
19 IES - JRC Institute for Environment and Sustainability
20 Department of Land Resource Management
Dominique Arrouays
Connectez-vous pour contacter l'auteur
- Fonction : Auteur correspondant
- PersonId : 751040
- IdHAL : dominique-arrouays
- ORCID : 0000-0002-6878-6498
- IdRef : 030508223
Connectez-vous pour contacter l'auteur
Budiman Minasny
- Fonction : Auteur
- PersonId : 775194
- ORCID : 0000-0002-1182-2371
- IdRef : 148343813
Manuel Martin
- Fonction : Auteur
- PersonId : 745809
- IdHAL : manuel-martin
- ORCID : 0000-0003-2041-932X
Anne C Richer-De-Forges
- Fonction : Auteur
- PersonId : 184995
- IdHAL : anne-richer-de-forges
- ORCID : 0000-0002-3170-4014
- IdRef : 132070049
Zamir Libohova
- Fonction : Auteur
- PersonId : 784181
- ORCID : 0000-0003-2092-3366
Philippe Lagacherie
- Fonction : Auteur
- PersonId : 746486
- IdHAL : philippelagacherie
- ORCID : 0000-0002-2948-1966
Panos Panagos
- Fonction : Auteur
- PersonId : 784206
- ORCID : 0000-0003-1484-2738
Résumé
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.