AustralieFrV1, Main, Exploration, bibRecord, 008D95

Determining the distributions of soil carbon and nitrogen in particle size fractions using near-infrared reflectance spectrum of bulk soil samples

Identifieur interne : 008D95 ( Main/Exploration ); précédent : 008D94; suivant : 008D96

Determining the distributions of soil carbon and nitrogen in particle size fractions using near-infrared reflectance spectrum of bulk soil samples

Auteurs : Bernard G. Barthes [France] ; Didier Brunet [France] ; Edmond Hien [Burkina Faso] ; Frank Enjalric [France] ; Sofian Conche [France] ; Gregoire T. Freschet [France] ; Rémi D'Annunzio [France] ; Joële Toucet-Louri [France]

Source :

Soil biology & biochemistry [ 0038-0717 ] ; 2008.

RBID : Pascal:08-0325793

Descripteurs français

Pascal (Inist)
- Carbone, Distribution dimension particule, Spectre réflexion, Spectre IR proche, Spectrométrie réflexion, Spectrométrie IR proche, Science du sol, Azote, Matière organique, Sol.
Wicri :
- topic : Carbone, Azote.

English descriptors

KwdEn :
- Carbon, Near infrared spectrometry, Near infrared spectrum, Nitrogen, Organic matter, Particle size distribution, Reflection spectrometry, Reflection spectrum, Soil science, Soils.

Abstract

This study aimed at assessing the potential of near-infrared reflectance spectroscopy (NIRS) for determining the distribution of soil organic matter (SOM) in particle size fractions, which has rarely been attempted. This was done on sandy soils from Burkina Faso (three sites) and Congo-Brazzaville (one site). Over the total sample set, NIRS accurately predicted carbon (C) and nitrogen (N) concentrations (gkg^-1 fraction) in the fraction <20μm. When considering Burkina Faso only, predictions were improved in general; those of C and N amounts (g kg^-1 soil) became accurate for the fraction <20 μm but not for the coarser fractions, probably due to heterogeneous SOM repartition. However, most SOM being < 20 μm in general, NIRS could be considered promising for determining SOM size distribution.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 003446
to stream PascalFrancis, to step Curation: 002C03
to stream PascalFrancis, to step Checkpoint: 003313
to stream Main, to step Merge: 009727
to stream Main, to step Curation: 008D95

Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Carbon</term>
<term>Near infrared spectrometry</term>
<term>Near infrared spectrum</term>
<term>Nitrogen</term>
<term>Organic matter</term>
<term>Particle size distribution</term>
<term>Reflection spectrometry</term>
<term>Reflection spectrum</term>
<term>Soil science</term>
<term>Soils</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Carbone</term>
<term>Distribution dimension particule</term>
<term>Spectre réflexion</term>
<term>Spectre IR proche</term>
<term>Spectrométrie réflexion</term>
<term>Spectrométrie IR proche</term>
<term>Science du sol</term>
<term>Azote</term>
<term>Matière organique</term>
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<front><div type="abstract" xml:lang="en">This study aimed at assessing the potential of near-infrared reflectance spectroscopy (NIRS) for determining the distribution of soil organic matter (SOM) in particle size fractions, which has rarely been attempted. This was done on sandy soils from Burkina Faso (three sites) and Congo-Brazzaville (one site). Over the total sample set, NIRS accurately predicted carbon (C) and nitrogen (N) concentrations (gkg<sup>-1</sup>
 fraction) in the fraction <20μm. When considering Burkina Faso only, predictions were improved in general; those of C and N amounts (g kg<sup>-1</sup>
 soil) became accurate for the fraction <20 μm but not for the coarser fractions, probably due to heterogeneous SOM repartition. However, most SOM being < 20 μm in general, NIRS could be considered promising for determining SOM size distribution.</div>
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<tree><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Barthes, Bernard G" sort="Barthes, Bernard G" uniqKey="Barthes B" first="Bernard G." last="Barthes">Bernard G. Barthes</name>
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<name sortKey="Brunet, Didier" sort="Brunet, Didier" uniqKey="Brunet D" first="Didier" last="Brunet">Didier Brunet</name>
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<name sortKey="D Annunzio, Remi" sort="D Annunzio, Remi" uniqKey="D Annunzio R" first="Rémi" last="D'Annunzio">Rémi D'Annunzio</name>
<name sortKey="D Annunzio, Remi" sort="D Annunzio, Remi" uniqKey="D Annunzio R" first="Rémi" last="D'Annunzio">Rémi D'Annunzio</name>
<name sortKey="Enjalric, Frank" sort="Enjalric, Frank" uniqKey="Enjalric F" first="Frank" last="Enjalric">Frank Enjalric</name>
<name sortKey="Freschet, Gregoire T" sort="Freschet, Gregoire T" uniqKey="Freschet G" first="Gregoire T." last="Freschet">Gregoire T. Freschet</name>
<name sortKey="Toucet Louri, Joele" sort="Toucet Louri, Joele" uniqKey="Toucet Louri J" first="Joële" last="Toucet-Louri">Joële Toucet-Louri</name>
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<country name="Burkina Faso"><noRegion><name sortKey="Hien, Edmond" sort="Hien, Edmond" uniqKey="Hien E" first="Edmond" last="Hien">Edmond Hien</name>
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</affiliations>
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Determining the distributions of soil carbon and nitrogen in particle size fractions using near-infrared reflectance spectrum of bulk soil samples

Determining the distributions of soil carbon and nitrogen in particle size fractions using near-infrared reflectance spectrum of bulk soil samples

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Descripteurs français

English descriptors

Abstract

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