Laboratory Vis–NIR spectroscopy as an alternative method for estimating the soil aggregate stability indexes of Mediterranean soils

Autor: Damien Raclot, Haithem Bahri, M. Annabi, Cécile Gomez, Y. Le Bissonnais
Přispěvatelé: Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique de Tunisie (INRAT), Institut National de Recherche en Génie Rural Eaux et Forêts (INRGREF), Ecole Nationale du Génie Rural, des Eaux et des Forêts (ENGREF)-Institution de la Recherche et de l'Enseignement Supérieur Agricoles [Tunis] (IRESA), INRA, IRD, French National Research Agency (ANR) [ANR-08-BLAN-0284-01], MISTRAL project Sicmed-Lebna 'Biophysical and socio-economical analysis of water management within the Tunisian Cap Bon Peninsula: the Lebna study area', ANR-08-BLAN-0284,DIGISOL-HYMED,Cartographie Numérique des Sols par imagerie hyperspectrale pour la modélisation environnementale en région méditerranéenne(2008)
Rok vydání: 2013
Předmět:
INDICATORS
Multivariate statistics
DIFFUSE-REFLECTANCE SPECTROSCOPY
Tunisia
EROSION
010504 meteorology & atmospheric sciences
Soil test
PREDICTION
[SDV]Life Sciences [q-bio]
Soil Science
Mineralogy
Soil science
AGREGAT
01 natural sciences
Stability (probability)
Soil aggregate stability
PEDOTRANSFER FUNCTIONS
Linear regression
STABILITE STRUCTURALE
ERODIBILITY
CLAY
Pedotransfert function
0105 earth and related environmental sciences
METHODE D'ANALYSE
Aggregate (composite)
SOL
Spectrotransfert function
Chemistry
SPECTROMETRIE INFRAROUGE
Vis-NIR spectroscopy
Linear model
Soil classification
04 agricultural and veterinary sciences
15. Life on land
ANALYSE DE REGRESSION
ORGANIC-MATTER
ATTRIBUTES
Mediterranean soils
[SDE]Environmental Sciences
Soil water
AIRBORNE HYPERSPECTRAL MEASUREMENTS
040103 agronomy & agriculture
0401 agriculture
forestry
and fisheries
ANALYSE MULTIVARIABLE
Zdroj: Geoderma
Geoderma, Elsevier, 2013, 209, pp.86-97. ⟨10.1016/j.geoderma.2013.06.002⟩
ISSN: 0016-7061
1872-6259
DOI: 10.1016/j.geoderma.2013.06.002
Popis: International audience; The characterization of soil aggregate stability is an important step for assessing the susceptibility of soil to water erosion. A normalized international method has recently been proposed for estimating soil aggregate stability indexes (ISO/FDIS 10930, 2012), but extensive measurements of the soil aggregate stability for mapping erosion risks on the regional scale remain a fastidious enterprise. This paper explores three different approaches as an alternative to the normalized international measurements. The first, called the PTFs Approach, estimates aggregate stability indexes via elementary soil properties using multiple linear regression. The second one, called the RS Approach, estimates aggregate stability indexes via Laboratory (Lab) Visible-Near Infrared (Vis-NIR) spectra using multivariate linear regressions. The third, called the RS + PTFs Approach first used the Lab Vis-NIR spectra to predict the elementary soil properties using multivariate linear regressions, which are then used to predict the soil aggregate stability indexes using multiple linear regression. These tests were performed on a collection of 113 soil samples from the Mediterranean region of Northern Tunisia. Four soil aggregate stability indexes were considered: three indexes calculated using three disruptive tests that correspond to various wetting conditions and energies, and the fourth index was the mean of the first three. This study shows that Lab Vis-NIR spectroscopy may be used directly in multivariate regression models to estimate two soil aggregate stability indexes (R-val(2), between 0.52 and 0.57, RPD between 1.47 and 1.61) with accuracy comparable to the multiple linear models in the PTFs Approach. Further investigations on various soil types, especially those for which the soil aggregate stability indexes were strongly correlated to organic carbon content, are encouraged to extend the utility and applicability of Lab Vis-NIR spectroscopy as an alternative method for soil aggregate stability indexes estimates. (C) 2013 Elsevier B.V. All rights reserved.
Databáze: OpenAIRE
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