A better understanding of soil organic C (SOC) distributlon in mountain soils is important for quantifying C emissions-removals involved in land use change processes, such as afforestation, reforestat ion, and deforestation activities. The highest part of Valchiavenna, a Northern Italy alpine area, is chara cterized by a great variety of landscapes owing to the different parent material, c1imatic ccnditions, topography, vegetation , and geomorphology. The interaction of these features has produced many soil types, such as leptosols, Regosols, Cambisols, Umbrisols, Podzols, and Histosols, with large differences in total organic C (TaC ) contentoTo predict Tac content, diffuse reflectance spectroscopy (DRS) in the visible and near-infrared (VIS-NIR) range was applied. Nine soil profiles were sampled to represent a range 01 pedologic proliles and were anal yzed with DRS in the wavelength interval of 350 to 2500 nm and for some chemical and physical parameters. Spectral data were transformed and then analyzed through partial least square regression (PLSR) and multiple Iinear regression. Soil parameters were also considered as covariates . The results indicate that the DRS technique linked with PLSR and applied lo smoothed spectra was able lo predicI TOC and highlighl the relationships between TOC and AI and Fe amorphous minerals. The wavelength in the visible range, with particul ar regard lo the 520- lo 560-nm interval, were the most influential in explaining Tac variation compared with NIR (700-1400 nm) and short-wave inlrared (SWIR) bands (1400-2500 nm). This may suggesl that changes in reflectance in the visible range can be caused by a significanl variation in Tac in the alpine soil profiles. This calls for a clcser examination of pedologic processes in mountain environments owing to advanced chemometric models to predict sac content in mounlain soils.

Soil Organic Carbon Variation in Alpine Landscape (Northern Italy) as Evaluated by Diffuse Reflectance Spectroscopy

COLOMBO, Claudio Massimo;DI IORIO, ERIKA;
2014-01-01

Abstract

A better understanding of soil organic C (SOC) distributlon in mountain soils is important for quantifying C emissions-removals involved in land use change processes, such as afforestation, reforestat ion, and deforestation activities. The highest part of Valchiavenna, a Northern Italy alpine area, is chara cterized by a great variety of landscapes owing to the different parent material, c1imatic ccnditions, topography, vegetation , and geomorphology. The interaction of these features has produced many soil types, such as leptosols, Regosols, Cambisols, Umbrisols, Podzols, and Histosols, with large differences in total organic C (TaC ) contentoTo predict Tac content, diffuse reflectance spectroscopy (DRS) in the visible and near-infrared (VIS-NIR) range was applied. Nine soil profiles were sampled to represent a range 01 pedologic proliles and were anal yzed with DRS in the wavelength interval of 350 to 2500 nm and for some chemical and physical parameters. Spectral data were transformed and then analyzed through partial least square regression (PLSR) and multiple Iinear regression. Soil parameters were also considered as covariates . The results indicate that the DRS technique linked with PLSR and applied lo smoothed spectra was able lo predicI TOC and highlighl the relationships between TOC and AI and Fe amorphous minerals. The wavelength in the visible range, with particul ar regard lo the 520- lo 560-nm interval, were the most influential in explaining Tac variation compared with NIR (700-1400 nm) and short-wave inlrared (SWIR) bands (1400-2500 nm). This may suggesl that changes in reflectance in the visible range can be caused by a significanl variation in Tac in the alpine soil profiles. This calls for a clcser examination of pedologic processes in mountain environments owing to advanced chemometric models to predict sac content in mounlain soils.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11695/2084
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