2022
DOI: 10.1016/j.scitotenv.2022.152957
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Hydrophobicity of soils affected by fires: An assessment using molecular markers from ultra-high resolution mass spectrometry

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Cited by 20 publications
(8 citation statements)
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“…This is also corroborated by a prior characterization of our soil samples using solid-state 13 C NMR [ 15 ]. Particularly, the increase in UACs ( Table 2 ) together with the depletion of methoxyphenol (Lig) compounds observed in BAF (0–5 cm depth) ( Table S1 ), suggests that fire has triggered a defunctionalization of Lig compounds, as has been observed by other authors [ 23 , 46 ]. Alternatively, the origin for the UACs may also be the chemical alteration of terpene-like compounds and/or the cyclization of alkyl compounds through the Diels–Alder reaction [ 46 ].…”
Section: Resultssupporting
confidence: 74%
See 1 more Smart Citation
“…This is also corroborated by a prior characterization of our soil samples using solid-state 13 C NMR [ 15 ]. Particularly, the increase in UACs ( Table 2 ) together with the depletion of methoxyphenol (Lig) compounds observed in BAF (0–5 cm depth) ( Table S1 ), suggests that fire has triggered a defunctionalization of Lig compounds, as has been observed by other authors [ 23 , 46 ]. Alternatively, the origin for the UACs may also be the chemical alteration of terpene-like compounds and/or the cyclization of alkyl compounds through the Diels–Alder reaction [ 46 ].…”
Section: Resultssupporting
confidence: 74%
“…Furthermore, partially charred fragments of fire-affected standing vegetation may be deposited on the soil surface after fires. Usually, fire leads to a depletion of ligno-cellulosic and labile microbial-derived compounds and neoformation of C-condensed structures, conferring wider hydrophobicity and aromaticity indexes to SOM [ 19 , 20 , 21 , 22 , 23 ]. Together with a reduced soil microbial activity caused by fire [ 24 ], this partially explains the higher mean residence time of SOM observed in fire-affected soils compared to control sites [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
“…The spectral pre-processing treatments consisted of a light scatter and baseline correction by Standard Noise Variate (SNV), de-noising through a median filter, and mean centering [58]. This pre-processing has been widely used [44,58,91,92] to obtain forecasting models of different environmental and physical variables, using different analytical techniques (FT-IR, Py-CSIA, Py-GC/MS and FTICR/MS) on different natural matrices (e.g., soil, sediment, foodstuff). The protocol of this pre-processing is well exposed in [58].…”
Section: Discussionmentioning
confidence: 99%
“…The intensity and spatial distribution of SWR often fluctuate seasonally with maximum coverage in the dry season and a decline in extent as precipitation inputs exceed the SWR critical water threshold (Bayad et al., 2020; Chau et al., 2014; DeBano, 1981; Hardie et al., 2012; Huffman et al., 2001; Rye & Smettem, 2018), with the maximum coverage of SWR appearing after a wildfire event or following extended periods of dryness during which hydrophobic conditions can be reestablished (Chen et al., 2019; Crockford et al., 1991; Hewelke et al., 2018). During a fire, surface soil or litter layer hydrophobic compounds vaporize, diffuse through soil capillaries, cool, and condense onto particles to form a subsurface layer of water‐repellent substrate (DeBano, 2000; Debano & Krammes, 1966; DeBano et al., 1979; Jiménez‐Morillo et al., 2022; Knicker, 2011). Because soils are an excellent insulator, fire‐derived hydrophobic layers are typically limited to the surface horizons of the soil profile, but their persistence, intensity, and extent vary tremendously across the landscape (Bodí et al., 2013; Debano et al., 1981; Debano et al., 1976; Dyrness, 1976; Huffman et al., 2001; Malvar et al., 2016; Woods et al., 2007).…”
Section: Introductionmentioning
confidence: 99%