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Article Dans Une Revue Earth-Science Reviews Année : 2016

A global spectral library to characterize the world's soil

1 CSIRO Land and Water
2 University of Tübingen
3 TAU - Tel Aviv University
4 WSU - Washington State University
5 UNESP - Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University
6 ICRAF - World Agroforestry Center [CGIAR, Mali]
7 Zhejiang University
8 SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
9 ELI - Earth and Life Institute [Louvain-La-Neuve]
10 McGill University = Université McGill [Montréal, Canada]
11 SPADD Laboratory, Higher School of Agriculture of Mograne
12 UMR Eco&Sols - Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes
13 WUR - Wageningen University and Research [Wageningen]
14 KIT - Karlsruhe Institute of Technology
15 IES - JRC Institute for Environment and Sustainability
16 SYKE - Finnish Environment Institute
17 CZU - Czech University of Life Sciences Prague
18 State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Sciences, Chinese Academy of Sciences
19 SAS - Sol Agro et hydrosystème Spatialisation
20 Université de Liège
21 UMR LISAH - Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème
22 UF - University of Florida [Gainesville]
23 AGROSCOPE - Agroscope FAL Reckenholz
24 UMH - Universidad Miguel Hernández [Elche]
25 Manaaki Whenua – Landcare Research [Lincoln]
26 Aarhus University [Aarhus]
27 INTA Castelar CIRN
28 BÜCHI Labortechnik AG
29 Universidad Nacional Pedro Ruiz Gallo
30 UNBC - University of Northern British Columbia [Prince George]
31 UNIMOL - Università degli Studi del Molise = University of Molise
32 USDA - USDA-ARS Cropping Systems and Water Quality Research Unit
33 BGS - British Geological Survey
34 ICRAF - World Agroforestry Center [CGIAR, Kenya]
35 National Institute of Agricultural Sciences
R.A. Viscarra Rossel
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E. Ben-Dor
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Z. Shi
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A. Chappell
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Youssef Fouad
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V. Genot
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M. Nocita
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Résumé

Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro-ecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for future generations. To this end, we developed and analyzed a global soil visible–near infrared (vis–NIR) spectral library. It is currently the largest and most diverse database of its kind. We show that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability. We also show the usefulness of the global spectra for predicting soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity, and pH. Using wavelets to treat the spectra, which were recorded in different laboratories using different spectrometers and methods, helped to improve the spectroscopic modelling. We found that modelling a diverse set of spectra with a machine learning algorithm can find the local relationships in the data to produce accurate predictions of soil properties. The spectroscopic models that we derived are parsimonious and robust, and using them we derived a harmonized global soil attribute dataset, which might serve to facilitate research on soil at the global scale. This spectroscopic approach should help to deal with the shortage of data on soil to better understand it and to meet the growing demand for information to assess and monitor soil at scales ranging from regional to global. New contributions to the library are encouraged so that this work and our collaboration might progress to develop a dynamic and easily updatable database with better global coverage. We hope that this work will reinvigorate our community's discussion towards larger, more coordinated collaborations. We also hope that use of the database will deepen our understanding of soil so that we might sustainably manage it and extend the research outcomes of the soil, earth and environmental sciences towards applications that we have not yet dreamed of.
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Dates et versions

hal-01962141 , version 1 (20-12-2018)

Identifiants

Citer

R.A. Viscarra Rossel, T. Behrens, E. Ben-Dor, D.J. Brown, J.A.M. Demattê, et al.. A global spectral library to characterize the world's soil. Earth-Science Reviews, 2016, 155, pp.198-230. ⟨10.1016/j.earscirev.2016.01.012⟩. ⟨hal-01962141⟩
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