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<title lang=en>Evaluation of the recovery of microbial functions during soil restoration using near-infrared spectroscopy</title>
<creator>Schimann, Heidy</creator>
<creator>Joffre, Richard</creator>
<creator>ROGGY, Jean-Christophe</creator>
<creator>Lensi, Robert</creator>
<creator>Domenach, Anne-Marie</creator>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) ; Institut de Recherche pour le Développement (IRD [France-Sud]) - Centre National de la Recherche Scientifique (CNRS) - Université de Montpellier (UM) - Institut national de la recherche agronomique [Montpellier] (INRA Montpellier) - École pratique des hautes études (EPHE) - Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro) - Université Paul-Valéry - Montpellier 3 (UM3) - Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)</contributor>
<description> </description>
<source>ISSN: 0929-1393</source>
<source>Applied Soil Ecology</source>
<publisher>Elsevier</publisher>
<identifier>hal-01032188</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01032188</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01032188</source>
<source>Applied Soil Ecology, Elsevier, 2007, 37 (3), pp.223-232. 〈10.1016/j.apsoil.2007.07.001〉</source>
<identifier>DOI : 10.1016/j.apsoil.2007.07.001</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.apsoil.2007.07.001</relation>
<language>en</language>
<subject lang=en>afforestation</subject>
<subject lang=en>analytical methods</subject>
<subject lang=en>biological activity in soil</subject>
<subject lang=en>clay soils</subject>
<subject lang=en>forest plantations</subject>
<subject lang=en>microbial activities</subject>
<subject lang=en>near infrared spectroscopy</subject>
<subject lang=en>reclamation</subject>
<subject lang=en>sandy soils</subject>
<subject lang=en>soil flora</subject>
<subject lang=en>soil texture</subject>
<subject lang=en>soil types</subject>
<subject lang=en>stand age</subject>
<subject lang=en>Acacia mangium</subject>
<subject lang=en>analytical techniques</subject>
<subject lang=en>reforestation</subject>
<subject lang=en>soil respiration </subject>
<subject lang=en>French Guiana</subject>
<subject lang=en>NIRS</subject>
<subject lang=en>respiration</subject>
<subject lang=en>denitrification</subject>
<subject lang=en>carbon</subject>
<subject lang=en>nitrogen</subject>
<subject lang=en>soil functioning</subject>
<subject lang=en>restoration </subject>
<subject lang=en>activités microbiennes</subject>
<subject lang=en>fonctionnement du sol</subject>
<subject>[SDV.SA] Life Sciences [q-bio]/Agricultural sciences</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Microbial-based indicators, such as C and N contents or microbial functions involved in C and N cycles, are currently used to describe the status of soils in disturbed areas. Microbial functions are more accurate indicators but their measurement for studies at the ecosystem level remains problematical because of the huge spatial variability of these processes and, consequently, of the large number of soil samples which must be analyzed. Our goal was to test the capacity of near-infrared reflectance spectroscopy (NIRS) to predict respiration and denitrification but also carbon and nitrogen contents of soils submitted to various procedures of restoration. To achieve this objective, we took advantage of an experiment conducted on a reforestation system established after open-cast gold mining in French Guiana. In this experimental station, plantations of various ages and various soil textures were at our disposal. Our results showed that both plantations and soil texture had a strong impact on the recovery of soil functioning: carbon and nitrogen contents, respiration and denitrification increased with age of plantation and clay content. Calibrations were performed between spectral data and microbial-based indicators using partial least squares regression (PLS). The results showed that C and N contents were accurately predicted. Microbial functions were less precisely predicted with results more accurate on clayey soils than on sandy soils. In clayey soils, perturbed or restored soils and the year of plantation were discriminated very efficiently through principal component analyses of spectral signatures (over 80% of variance explained on the first two axes). Near-infrared spectroscopy may thus be extended to the prediction of functional soil parameters, but the capacity of this method must be strengthened by expending the databases with other soils in other contexts. The possibility of using NIRS provides many opportunities for understanding both the temporal dynamics and the spatial variability of the recovery of key microbial functions during soil restoration.</description>
<date>2007</date>
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