Assessment of temporal and spatial variability of soil salinity in a coastal saline field

Shi, Zhou; Li, Y.; Wang, R. C.; Makeschine, Franz

doi:10.1007/s00254-005-1285-3

Cited by 50 publications

(10 citation statements)

References 20 publications

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“…Many studies have demonstrated heterogeneity for soils in coastal field and spatial-temporal variation among soil sections due to climate, ground-water levels, and vegetation (Shi et al, 2005;Cemek et al, 2007). The establishment of vegetation on coastal saline field resulted in the significant spatial variability of soil physicochemical and microbiological properties when they adapt themselves to soil environment.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal heterogeneity of soil salinity after the establishment of vegetation on a coastal saline field

Cai

Ran

et al. 2015

CATENA

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal heterogeneity of soil salinity after the establishment of vegetation on a coastal saline field

Cai

Ran

et al. 2015

CATENA

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“…The nugget values of groundwater TDS and depth indicated there were experimental error and variation induced by smaller sampling scales. Percentages were used to denote the nugget/sill ratio, which is the standard way of classifying the spatial dependence of regional variables (Chien, Lee, Guo, & Houng, ; Shi, Li, Wang, & Makeschine, ). Table shows that the nugget/sill ratios of groundwater TDS and depth were both lower than 25%, indicating that the two had relatively strong spatial dependence.…”

Section: Resultsmentioning

confidence: 99%

“…The distribution map intuitively reflected the spatial distribution of soil conductivity, which was helpful for reinforcing land management plans. The subjectivity of choosing agricultural production practices can be reduced by analyzing experimental data and evaluating the results with the reference values (Shi et al, ). As shown in Figure , in the study area, soil conductivity was higher in the northwestern and the northern parts (highest in the red region).…”

Section: Resultsmentioning

confidence: 99%

Three‐dimensional mapping of soil salinity in the southern coastal area of Laizhou Bay, China

Liu

Lü

et al. 2018

Land Degrad Dev

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Soil salinization is an important driver of land degradation and has been a major factor inhibiting agricultural production and development in the southern coastal area of Laizhou Bay. In this study, 3‐D and 2‐D geostatistics were respectively used to evaluate the spatial distribution of soil salinity and groundwater total dissolved solids (TDS) and depth. Results showed that soil electrical conductivity differed greatly within the same soil layer, and the difference in average electrical conductivity of different soil layers was relatively small. The mean value of TDS exceeded 3.0 g L−1 and the mean value of groundwater depth was 13.359 m. The geographic distribution showed that the soil salinity gradually decreased from the north to the south horizontally, and the soil salinity showed a bottom accumulation tendency vertically. Over 90% of the study area has TDS values exceeding 1.0 g L−1, and approximately one‐third of the area had a groundwater depth less than 3.0 m. TDS and groundwater depth had good correlations with soil salinity, with coefficients of determination of 0.544 and 0.572, respectively. Changes in vegetation corresponded to changes in soil salinity. Soil salinity gradually decreased perpendicular to coastal lines in tidal flats without vegetative coverage to inland agricultural areas of wheat and vegetables. Soil salinization in the study area is mainly slight and moderate. Reasonable regional management measures are conducive to improving land economic benefits. The results provide a theoretical basis and reference for the partition, improvement, management of saline soil, and support for land degradation control.

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“…In performing 3D-IDW interpolation, the Z axis was enlarged by 300 times, and the number of search points was set to 6 [35], and then the map of spatio-temporal distribution of soil conductivity was obtained (Figure 3). Figure 3 intuitively revealed spatio-temporal variation of soil salinity in 3D and the simple visual observation could provide valuable information on the status of soil salinity [36] and development of management practices such as irrigation in cotton field. Following the grading standard of soil salinization defined by the American Salinity Laboratory [30], the soil ECe in this study was divided into five levels: non-saline soil (0~2 dS m −1 ), mildly saline soil (2~4 dS m −1 ), moderately saline soil (4~8 dS m −1 ), heavily saline soil (8~16 dS m −1 ), saline soil (>16 dS m −1 ).…”

Section: Spatio-temporal Of Distribution Of Soil Electrical Conductivmentioning

confidence: 97%

Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions

Liu

et al. 2020

Remote Sensing

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Information on spatial, temporal, and depth variability of soil salinity at field and landscape scales is important for a variety of agronomic and environment concerns including irrigation in arid and semi-arid areas. However, challenges remain in characterizing and monitoring soil secondary salinity as it can largely be impacted by managements including irrigation and mulching in addition to natural factors. The objective of this study is to evaluate apparent electrical conductivity (ECa)-directed soil sampling as a basis for monitoring management-induced spatio-temporal change in soil salinity in three dimensions. A field experiment was conducted on an 18-ha saline-sodic field from Alar’s Agricultural Science and Technology Park, China between March, and November 2018. Soil ECa was measured using an electromagnetic induction (EMI) sensor for four times over the growing season and soil core samples were collected from 18 locations (each time) selected using EMI survey data as a-priori information. A multi-variate regression-based predictive relationship between ECa and laboratory-measured electrical conductivity (ECe) was used to predict EC with confidence (R2 between 0.82 and 0.99). A three-dimensional inverse distance weighing (3D-IDW) interpolation clearly showed a strong variability in space and time and with depths within the study field which were mainly attributed to the human management factors including irrigation, mulching, and uncovering of soils and natural factors including air temperature, evaporation, and groundwater level. This study lays a foundation of characterizing secondary salinity at a field scale for precision and sustainable management of agricultural lands in arid and semi-arid areas.

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Assessment of temporal and spatial variability of soil salinity in a coastal saline field

Abstract: The online version of the original article can be found at http:// dx.

Cited by 50 publications

References 20 publications

Spatiotemporal heterogeneity of soil salinity after the establishment of vegetation on a coastal saline field

Spatiotemporal heterogeneity of soil salinity after the establishment of vegetation on a coastal saline field

Three‐dimensional mapping of soil salinity in the southern coastal area of Laizhou Bay, China

Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions

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