Potential to map depth-specific soil organic matter content across an olive grove using quasi-2d and quasi-3d inversion of DUALEM-21 data

Huang, Jingyi; Pedrera‐Parrilla, Aura; Vanderlinden, Karl; Taguas, E. V.; Gómez, José A.; Triantafilis, John

doi:10.1016/j.catena.2017.01.017

Cited by 30 publications

(20 citation statements)

References 44 publications

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“…The electro-magnetometry technique in the frequency domain (hereinafter FDEM) has been widely applied in the environmental application [ 59 ] to rapidly map the apparent conductivity of subsoils. Recently, several inversion codes have allowed us to assess a real conductivity model from the raw data [ 60 , 61 ] and, although the FDEM inversion process never gives so detailed and accurate results as ERT, it is useful for many cases of investigation, e.g., salinity [ 62 ], water content [ 63 ], soil texture [ 64 , 65 ], soil organic matter [ 66 , 67 ], and it has been also widely used in studies of lowland arctic permafrost [ 68 , 69 , 70 ]. In the mountain permafrost, the resistivity range is very high (10 3 Ωm–10 6 Ωm), making the response close to the resolution limit of FDEM instruments (~0.1 mS/m).…”

Section: Methodsmentioning

confidence: 99%

Electrical and Electromagnetic Geophysical Prospecting for the Monitoring of Rock Glaciers in the Dolomites, Northeast Italy

Pavoni

Sirch

Boaga

2021

Sensors

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The monitoring of rock glaciers plays a relevant role in relation to natural hazards in high mountain environments. Due to the climate warming, mountain permafrost is thawing, and its degradation is influencing the triggering and the evolvement of processes such as rockfalls, landslides, debris flows and floods. Therefore, the study and monitoring of these periglacial forms have both a scientific and economic importance. We tested electrical and electromagnetic measurements along the same investigation lines, in two different sites of the Dolomites area (Northeast Italy). Electrical prospecting exploits the high resistivity contrast between frozen and non-frozen debris. However, these measurements have high logistic demands, considering the complex rock glaciers surface and the need of ground galvanic contact. For this reason, we tried to compare electrical measurements with electromagnetic contactless ones, that theoretically can be used to define the distribution of electrical resistivity in the first subsoil in a quicker and easier way. The obtained results show that the joint use of the two methods allows us to characterize a rock glacier subsoil with good confidence. Finally, the advantages and disadvantages of both the techniques are discussed.

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Section: Methodsmentioning

confidence: 99%

Electrical and Electromagnetic Geophysical Prospecting for the Monitoring of Rock Glaciers in the Dolomites, Northeast Italy

Pavoni

Sirch

Boaga

2021

Sensors

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“…Combining all Corg data of the olive orchard, the variability was about 35% which is similar to what has been reported so far in the few studies on soil Corg variability in olive orchards. For instance, Gargouri et al (2013) indicated a 24% coefficient of variation (CV) in a 34 ha olive orchard in Tunisia, while Huang et al (2017) reported an average CV of 41% in a 6.2 ha olive orchard in Southern Spain. Neither of these two studies reported clear trends on the distribution of Corg with topography.…”

Section: Discussionmentioning

confidence: 99%

“…Neither of these two studies reported clear trends on the distribution of Corg with topography. Huang et al (2017) pointed out the additional difficulties in the determination of Corg. due to the topography heterogeneity, although this was compounded by the fact that within the orchards there were two areas with different planting dates for the trees.…”

Section: Discussionmentioning

confidence: 99%

“…Andrews and Carroll, 2001). Although there are a limited number of experiments on the spatial variability of soil properties in olive orchards, they suggest a significant in-field variability (see Gargouri et al, 2013;Huang et al 2017). Moreover, Gómez et al (2012) suggested that part of this in-site variability of soil properties, regarding of organic carbon, might be related to erosion/deposition processes.…”

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Variation of soil organic carbon, stable isotopes and soil quality indicators across an eroding-deposition catena in an historical Spanish olive orchard

Gómez¹,

Guzmán²,

Toloza³

et al. 2019

Preprint

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Abstract. This study compares the distribution of bulk soil organic carbon (SOC also reported as Corg), its fractions (unprotected, physical, chemical and biochemically protected), available P (Pavail), organic nitrogen (Norg) and stable isotopes (δ15N and δ13C) signatures at four soil depths (0–10, 10–20, 20–30, 30–40 cm) between a nearby forested reference area and an historical olive orchard (established in 1856) located in Southern Spain. In addition, these soil properties, as well as water stable aggregates (Wsagg) were contrasted at eroding and deposition areas within the olive orchard, previously determined using 137Cs. Results highlight a significant depletion of SOC stock in the olive orchard as compared to the forested area, approximately 120 vs. 55 t C ha−1 at the top 40 cm of soil respectively, being severe in the case of unprotected carbon fraction. Erosion and deposition within the old olive orchard created large differences in soil properties along a catena, resulting in higher Corg, Pavail and Norg contents and δ15N at the deposition area and therefore defining two areas with a different soil quality status (degraded vs. non-degraded). Differences in δ15N at such different catena locations suggest that this isotopic signature has the potential for being used as an indicator of soil degradation magnitude, although additional studies would be required to confirm this finding. These overall results indicate that proper understanding of Corg content and soil quality in olive orchards require the consideration of the spatial variability induced by erosion/deposition processes for a convenient appraisal at farm scale.

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“…At the field-scale (~1-10 ha) and beyond, a range of studies successfully used EMI for mapping relevant soil properties, such as the variation in soil texture and layering (Cockx et al, 2007;Kelley et al, 2017;Mertens et al, 2008), soil salinity (Huang et al, 2017a;Yao et al, 2016), soil water dynamics (Huang et al, 2017b), organic matter (Huang et al, 2017c), and CEC (Machado et al, 2015). In addition, EMI has been used to quantitatively link ECa, soil characteristics, and crop performance during periods of water stress (Rudolph et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Large-scale soil mapping using multi-configuration EMI and supervised image classification

et al. 2019

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Reliable and high-resolution subsurface characterization beyond the field scale is of great interest for precision agriculture and agro-ecological modelling because the shallow soil (~1-2 m depth) is responsible for the storage of moisture and nutrients that are accessible to crops. This can potentially be achieved with a combination of direct sampling and Electromagnetic Induction (EMI) measurements, which have shown great potential for soil characterization due to their noninvasive nature and high mobility. However, only a few studies have used EMI beyond the field scale because of the challenges associated with a consistent interpretation of EMI data from multiple fields and acquisition days. In this study, we performed a detailed EMI survey of an area of 1 km 2 divided in 51 agricultural fields where previous studies showed a clear connection between crop performance and soil properties. In total, nine apparent electrical conductivity (ECa) values were measured at each location with a depth of investigation ranging between 0-0.2 to 0-2.7 m. Based on the combination of ECa maps and available soil maps, an a priori interpretation was performed and four sub-areas with characteristic sediments and ECa were identified. Then, a supervised classification methodology was used to divide the ECa maps into areas with similar soil properties. In a next step, soil profile descriptions to a depth of 2 m were obtained at 100 sampling locations and 552 samples were analyzed for textural characteristics. The combination of the classified map and ground truth data resulted in a 1 m resolution soil map with eighteen units with a typical soil profile and texture information. It was found that the soil profile descriptions and texture of the EMI-based soil classes were significantly different when compared using a two-tailed t-test. Moreover, the high-resolution soil map corresponded well with patterns in crop health obtained from satellite imagery. It was concluded that this novel EMI 3 data processing approach provides a reliable and cost-effective tool to obtain high-resolution soil maps to support precision agriculture and agro-ecological modelling.

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Potential to map depth-specific soil organic matter content across an olive grove using quasi-2d and quasi-3d inversion of DUALEM-21 data

Cited by 30 publications

References 44 publications

Electrical and Electromagnetic Geophysical Prospecting for the Monitoring of Rock Glaciers in the Dolomites, Northeast Italy

Electrical and Electromagnetic Geophysical Prospecting for the Monitoring of Rock Glaciers in the Dolomites, Northeast Italy

Variation of soil organic carbon, stable isotopes and soil quality indicators across an eroding-deposition catena in an historical Spanish olive orchard

Large-scale soil mapping using multi-configuration EMI and supervised image classification

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