&lt;b&gt;Moisture content effect in the relationship between apparent electrical conductivity and soil attributes

Costa, Marcelo Marques; Queiroz, Daniel Marçal de; Pinto, Francisco de Assis de Carvalho; Reis, Elton Fialho dos; Santos, Nerílson Terra

doi:10.4025/actasciagron.v36i4.18342

Cited by 30 publications

(12 citation statements)

References 11 publications

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“…However, the Spearman's rank coefficient (with p < 0.0001) for the July survey was 0.64 between EC a -H and SWC and 0.52 between EC a -V and SWC, proving that EMI data mostly reproduced the water patterns and confirming the homogeneity between shallow and deep horizons. On the other hand, for the Oct survey, a significant correlation with SWC was observed only for EC a in horizontal polarization, but it was very low (0.34) and not clearly defined, confirming the results of previous studies where the correlation between EC a and SWC was lower when the soil had higher moisture (Costa et al, 2014). One possible reason was the difference between the soil volume (0-0.30 m) explored by EMI measurements, which reflected a distribution of soil properties throughout the entire profile.…”

Section: Soil Apparent Electrical Conductivity Mapssupporting

confidence: 82%

Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Benedetto

Montemurro

Diacono

2020

Sci. agric. (Piracicaba, Braz.)

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There is an increasing interest in the application of geophysical surveys to assess the soil water content (SWC) variation in both spatial and temporal scales. In this work, a geophysical survey was carried out at an experimental farm in dry and wet conditions. We determined the SWC data measured with the gravimetric method, apparent electrical conductivity by electromagnetic induction (EMI) and amplitude of Ground Penetrating Radar (GPR) data at different frequencies. Geophysical sensors are an efficient tool for soil mapping at high resolution; however; there is a need to improve the knowledge on their capabilities and limitations under field conditions, especially for GPR. The geophysical survey provides an example of the application of these techniques to evaluate the spatial variability of SWC in two different water conditions. The contribution of geophysical data in understanding the spatial variability of SWC was investigated applying both the traditional analysis and spatial techniques. The results indicated that the geophysical data captured the spatial variation of SWC in non-invasively way especially in dry condition. However, they also showed the complex interplay between factors controlling SWC and geophysical responses and the drawbacks of geophysical sensors under inhomogeneous water conditions. Our findings also highlighted that EMI survey provides the potential to map the SWC variability within a relatively short time. The results obtained in this research are important from the agronomical viewpoint, since they allow increasing efficiency of irrigation practices, which is important in times characterized by climate change.

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Section: Soil Apparent Electrical Conductivity Mapssupporting

confidence: 82%

Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Benedetto

Montemurro

Diacono

2020

Sci. agric. (Piracicaba, Braz.)

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“…The negative effect of the grazing over the soil porosity [47,48] and over the soil macroinvertebrates [49,50] has been proved. Besides, the increase of the EC over time could be associated with the decrease of TP, a factor which affects the soil water infiltration [51], and therefore the M, which according to several authors [52,53], was correlated and negatively with the EC (r = -0.52; p < 0.05).…”

Section: Discussionmentioning

confidence: 99%

Soil macroinvertebrates community and its temporal variation in a well-drained savannah of the Venezuelan Llanos

Morales‐Márquez

Hernández

Sánchez

et al. 2018

European Journal of Soil Biology

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In the well-drained savannahs of Venezuelan Llanos, intensive agricultural activities could be causing damage to the soil, with negative consequences for the ecosystem. In order to avoid this problem, some agroecological alternatives are needed. Consequently, it is necessary to know the biologic dimension in this ecosystem, and within this, the soil macroinvertebrate community. The purpose of this work was to characterize this community in the natural savannah: its structure and diversity, its time variation and its relationship with the physical-chemical properties of the soil. A total of 72 samples were taken in different season along a period of time of 1405 days. The results revealed that the soil macrofauna had an average density of 243.5 ± 183.6 ind•m-2 , distributed in 32 families of 11 orders, with a diversity of N1= 4.5 ± 2.8 families. Coleoptera, Hymenoptera and Isoptera was the most dominants orders. The density, richness and diversity of families showed a temporal variation (r ≥-0.5; p < 0,05). Additionally, the structure of the soil macroinvertebrate community showed a vertical variation. The relationship with soil properties differed according families: Lampyridae, Aphodiidae and Formicidae had a positive correlation with soil macroporosity (radius of the pores > 15 µm); Tenthredinidae and Tenebrionidae had a 2 positive correlation with the micro-porosity (pores ≤ 15 µm). The community in general, correlated positively with soil porosity and negatively with bulk density. This suggests that these soil properties need to be considered when designing agroecological technics in this area.

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“…The maps developed with parameters of cross -semivariograms and fitted to theoretical models showed moisture for points where measurements were not performed, thus, the moisture evaluations for precision agriculture can be performed by reading electromagnetic induction. This methodology is similar to that described by Costa et al (2014), who mapped soil attributes with precise interpretation and recommendation of managements that can generate economic savings.…”

Section: Revmentioning

confidence: 99%

Spatialization of Electrical Conductivity and Physical Hydraulic Parameters of Soils Under Different Uses in an Alluvial Valley

Lopes

Montenegro

2019

Rev. Caatinga

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Evaluating spatial variability of hydraulic properties and salinity of soils is important for an adequate agricultural management of alluvial soils, and protection of riparian vegetation. Thus, the objective of this work was to evaluate the accuracy of geophysical techniques for indirect measurements of apparent electrical conductivity (ECa), using an electromagnetic induction equipment (EM38®), and soil physical hydraulic parameters and their spatial interrelations. The study was carried out at the Advanced Research Unit of the UFRPE, in the Brígida River Basin, in Panamirim, state of Pernambuco, Brazil, in the second half of 2016. This river had a 100 m wide riparian forest strip transversely to the river bank on both sides of the river. A regular 20×10 m grid with 80 points was used to evaluate the soil hydraulic conductivity and ECa. The geostatistics showed the spatial dependence and the dependence of the soil attributes, their spatialization, and precise mapping through indirect readings. Most of the variability (86%) in soil electrical conductivity was explained by indirect readings using the EM38®. Ranges of 80 m, 380 m, and 134 m were found for soil moisture, ECa, and hydraulic conductivity, respectively, presenting strong spatial dependence. The results showed the importance of riparian forests to the maintenance of soil moisture and porosity to the improvement of soil water infiltration capacity even under severe water deficit conditions and soil subsurface layers.

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<b>Moisture content effect in the relationship between apparent electrical conductivity and soil attributes

Cited by 30 publications

References 11 publications

Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Soil macroinvertebrates community and its temporal variation in a well-drained savannah of the Venezuelan Llanos

Spatialization of Electrical Conductivity and Physical Hydraulic Parameters of Soils Under Different Uses in an Alluvial Valley

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