Improving topsoil carbon storage prediction using a digital elevation model in temperate forest soils of France
Arrouays, Dominique | Daroussin, Joël, J. | Kicin, J.L. | Hassika, P. | Unité de recherche Science du Sol (USS) ; Institut National de la Recherche Agronomique (INRA) | Unité de bioclimatologie ; Institut National de la Recherche Agronomique (INRA)
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Показать больше [+] Меньше [-]Английский. Spatial distributions of C pools in forest soils are difficult to estimate because of their inherent spatial variability and because of lack of reliable data (C concentration and bulk density down to a sufficient depth). In southwest France, thick humic acid soils have developed from Quaternary silty alluvial deposits, Previous studies have shown that these soils have accumulated large amounts of organic C (OC) and that the regional distribution of C stores depends on both textural and climatic gradients. However, a significant part of C content variability still remained at a more detailed scale. The objective of this work was to determine if the topographic situation also influenced topsoil C storage, which would improve the accuracy of the prediction of organic pools in forest soils. This work uses a digital elevation model (100 x 100-m grid) to calculate topographic attributes on a 6000-ha area. The results suggest that slope is the main factor controlling variability in local C stores. This study shows that relating OC contents to spatial available landform parameters that might influence OC distribution, and combining them into spatial models, can provide a useful tool to improve geographical prediction of this characteristic.
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