Allaire, Suzanne; Lange, Sébastien F.; Lafond, Jonathan A.; Pelletier, Bernard; Cambouris, Athyna N. et Dutilleul, Pierre (2012). Multiscale spatial variability of CO₂ emissions and correlations with physico-chemical soil properties. Geoderma , vol. 170 . pp. 251-260. DOI: 10.1016/j.geoderma.2011.11.019.
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La transcription des symboles et des caractères spéciaux utilisés dans la version originale de ce résumé n’a pas été possible en raison de limitations techniques. La version correcte de ce résumé peut être lue dans le document original.
Spatial variability of greenhouse gas (GHG) emissions from agricultural lands is not well known although it has a great impact on the accuracy of GHG budget.
The objectives of this study were to assess the spatial variability of CO2emission fluxes (CO2-flux) and correlate these emissions with soil physico-chemical properties at two spatial scales and at different depths using a new geostatistical approach (coregionalization analysis with a drift, CRAD) that performs multiscale spatial analysis.
Two agricultural sites with sandy and loamy soils were instrumented at 108 geo-referred sampling points and at two depths during spring 2007 where soil surface CO2-flux and soil physico-chemical parameters were measured. The CO2-flux presented spatial patterns characterized by different scales (i.e., non-spatial, small spatial and large spatial scale components), each describing a different fraction of its variability. About a quarter of CO2-flux variability at the first site and one fifth at the other site was attributed to the non-spatial component. Strongest correlations were obtained between CO2-flux and soil temperature, water saturation (Sw), elevation, electrical conductivity, soil bulk density, and the C/N ratio, but with differences between sites. Correlations were much stronger at large scale. Analyzing correlations between CO2-flux and soil properties without discriminating for scales can miss important scale-dependent processes controlling soil gas emissions. Scales at which these processes vary should therefore be taken into account.
| Type de document: | Article |
|---|---|
| Informations complémentaires: | Résumé avec symboles |
| Mots-clés libres: | soil respiration; geostatistics; linear model of regionalization; greenhouse gas emissions; soil gas concentration; spatial variability |
| Centre: | Centre Eau Terre Environnement |
| Date de dépôt: | 19 oct. 2018 13:57 |
| Dernière modification: | 24 nov. 2020 18:16 |
| URI: | https://espace.inrs.ca/id/eprint/7230 |
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