Spectroscopic characteristics of humic acids extracted from soils under different integrated agricultural production systems in tropical regions.

Soil Organic Matter (SOM) plays an important in many ecosystems on the planet. Therefore, we employed elemental analysis (CHN), fluorescence spectroscopy (EEM-CP/PARAFAC), and electron paramagnetic resonance (EPR) to characterize the humic acids (HA) extracted from soils under integrated agricultural production systems (e.g. agroforestry systems (AFS)). These systems (S) included Crop (C), Livestock (L), Forest (F), and different combinations of them (CLFS, LFS, and CLS), which were compared with pastures (intensive (INT) and extensive (EXT)) and native forest (NF). For this purpose, we collected samples of a dystrophic Red-Yellow Latosol from experimental field areas which it is located at the Embrapa Pecuária Sudeste in São Carlos, São Paulo state, Brazil. Results showed that the HA humification index increased with soil depth, which is identified by complex structures more affluent in semiquinone-type free radical (SFR) and higher fluorescence intensity, especially in the AFS. Therefore, the HA from the CLFS systems had a higher aromaticity profile than HA from pastures and native forest areas, suggesting a longer lifetime to Carbon compounds. These significant findings are important for developing climate change mitigation strategies.

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Auteurs principaux: TADINI, A. M., BERNARDI, A. C. de C., MILORI, D. M. B. P., OLIVEIRA, P. P. A., PEZZOPANE, J. R. M., MARTIN NETO, L.
Autres auteurs: AMANDA MARIA TADINI, USP; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; LADISLAU MARTIN NETO, CNPDIA.
Format: Artigo de periódico biblioteca
Langue:Ingles
English
Publié: 2022-03-10
Sujets:Electron paramagnetic resonance, Fluorescence spectroscopy, Humic acids, Soil organic matter, Oxisols,
Accès en ligne:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1140711
https://doi.org/10.1016/j.geodrs.2021.e00476
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