Characterizing Spatiotemporal Variations of Soil Salinization and Its Relationship with Eco-Hydrological Parameters at the Regional Scale in the Kashi Area of Xinjiang, China from 2000 to 2017

Wang, Bo; Dong, Xuhui; Wang, Zhihui; Qin, Guoqiang

doi:10.3390/w13081075

Cited by 9 publications

(6 citation statements)

References 33 publications

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“…In this paper, n = 4. The salinization severity index (S i ) is used to characterize the spatio-temporal distribution of regional soil salinity [25]:…”

Section: Spatial and Temporal Distribution Characteristics Of Soil Sa...mentioning

confidence: 99%

Spatio–Temporal Variability Characteristics of Coastal Soil Salinization and Its Driving Factors Detection

Song

Gao

Wang

et al. 2022

Water

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The utilization efficiency of land resources in the coastal area of the Yellow River Delta has been deeply affected by salinization hazards. Key to improvement of the utilization efficiency of resources in this area is to grasp the spatio–temporal variability law of soil salinity and identify the driving factors of salinization. Wudi County in the coastal area of the Yellow River Delta is taken as the study area. Based on the data obtained from field measurements and laboratory analysis, the characteristics of soil salinity in spring and summer were analyzed by classical statistical methods; the spatial differentiation characteristics of salinization were analyzed from two–dimensional and three–dimensional perspectives using the geographic information system (GIS) and groundwater modeling system (GMS); the time variation characteristics of salinization were quantitatively analyzed by introducing the salinization severity index (Si) and the dominant index of salinization degree change (Ci). The results show that: (1) In the study area, the soil salinity of the surface layer (0–15 cm) in summer is lower than that in spring, but the sub–surface layer (15–30 cm), the middle layer (30–45 cm) and the bottom layer (45–60 cm) are all larger than the corresponding layers in spring, and the correlation between the soil salinity of each layer in summer is generally lower than that in spring. (2) In two–dimensional space, the areas with a surface soil salinity greater than 0.4% in both seasons are mainly located in the northern part of the study area; in three–dimensional space, the soil is mainly moderately salinized in both seasons, and the complexity of the distribution of the salt profile is higher in summer than in spring; (3) Mashanzi Town was the area most seriously affected by salinization in both seasons (Si values were greater than three); In the process of seasonal alternation, the dominant change type of salinized soil is from mild aggravation to moderate, with Ci value of 38.43%, followed by severe alleviation to moderate, with Ci value of 35.49%; (4) The driving factors of soil salinization in spring are mainly the soil salinity of the subsurface and middle layer, and soil water content; and in summer, mainly the soil salinity of subsurface layer, vegetation coverage and vegetation cover type. The interaction between any two factors has greater influence on the spatial variation of salinization than the corresponding single factor.

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“…In this paper, n = 4. The salinization severity index (S i ) is used to characterize the spatio-temporal distribution of regional soil salinity [25]:…”

Section: Spatial and Temporal Distribution Characteristics Of Soil Sa...mentioning

confidence: 99%

Spatio–Temporal Variability Characteristics of Coastal Soil Salinization and Its Driving Factors Detection

Song

Gao

Wang

et al. 2022

Water

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“…Soil salinization is one of the most serious problems of land degradation [1], UNESCO and FAO have reported that 954 million hectares of worldwide land was disturbed by salinization [2]. Salinization is not only considered as an environmental issue but has developed to an economic problem [3], it gradually becomes a great challenge restricting the development of agriculture and husbandry [4].…”

Section: Introductionmentioning

confidence: 99%

Arbuscular Mycorrhizal Fungal Colonization at Different Succession Stages in Songnen Saline-Alkali Grassland

Liu¹,

ZHOU²,

Fang³

et al. 2023

Phyton

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Arbuscular mycorrhizal (AM) fungi can form symbiosis with 90% of the vascular plants and play important roles in ecosystem. To realize the AM fungal colonization at different succession stages in saline-alkali land and screen AM fungi species with great functions, roots and soil samples were collected from the three succession stages of Songnen saline-alkali grassland. The soil properties and AM fungal colonization were measured, and the fungus distributed extensively in three stages was annotated by sequencing for AML1/AML2 target, subsequently, maize was selected as the host to verify its colonization. The results showed that the soil properties improved with the succession of saline-alkali grassland. The plants' communities of the three stages could be colonized by AM fungi, and the colonization rate of Leymus chinensis (the third stage) ranged from 66.67% to 100%, Puccinellia tenuiflora (the second stage) ranged from 50% to 80%, while the Suaeda glauca (the first stage) was only 35%-60%. Glomeraceae sp1 was identified as the dominant AM fungi species which occurred frequently in the succession of saline-alkali land with the isolation frequency, relative abundance, and importance value of 100%, 18.1%, and 59.1%, respectively. The colonization rate of Glomeraceae sp1 in maize ranged from 80% to 87% and similar mycorrhizal characteristics were detected in the roots of P. tenuiflora, S. glauca, and L. chinensis, indicating that Glomeraceae sp1 colonized the samples in the field. The correlation matrix indicated that colonization rate, colonization intensity, and vesicle abundance were closely related to soil conditions most, and they were related significantly to all the soil properties except cellulase activity. Besides, redundancy analysis (RDA) showed that soil properties drove the changes of AM fungal colonization and sporulation. These results will provide theoretical support for realizing the relationship between AM fungal colonization and soil conditions, and also for the exploration of AM fungi species with great functions.

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Section: Introductionmentioning

confidence: 99%

“…The problems faced by agriculture today, such as soil salinization, irrigation water shortage, and groundwater pollution, have increased with the increase in the global population. [1][2][3] Nitrogen (N) brings benefits but also has serious negative effects. 4,5 In particular, soil N leaching was one of the main sources of environmental pollution and human diseases, such as loss of biological diversity, eutrophication, 6,7 infantile methemoglobinemia, and cancer of the digestive tract.…”

Section: Introductionmentioning

confidence: 99%

Poly‐γ‐glutamic acid improved biological nitrogen fixation, water‐nitrogen productivity, and nitrate residue in cotton/soybean intercropping

Jing,

Shi,

Liu

et al. 2023

J Sci Food Agric

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BackgroundPoly‐γ‐glutamic acid (γ‐PGA) can promote crop growth and improve soil properties efficiently. However, the optimal application rate of γ‐PGA in legume/non‐legume intercropping systems is still unclear. A potted experiment was conducted to investigate the effects of five γ‐PGA rates (0%, 0.1%, 0.2%, 0.3%, and 0.4%, represented by CK, P1, P2, P3, and P4, respectively) on biological nitrogen (N) fixation (BNF), water‐N productivity, and nitrate distribution in a cotton/soybean intercropping system.ResultsThe results showed that the growth indicators (plant height, stem diameter, leaf area index, root dry weight, root length) of cotton and soybean increased first and then decreased with increasing γ‐PGA rates, and all growth indicators of cotton and soybean showed peaks in P3 and P2 treatments. The stable 15N isotope method indicated that γ‐PGA promoted the BNF capacity of soybean and soil. In particular, the percentage of N derived from the atmosphere (Ndfa) in soybean reached 61.94% in the P2 treatment. Poly‐γ‐glutamic acid improved the water‐N productivity, and the total N partial factor productivity (NPFP) and water productivity (WP) in P3 treatment increased by 23.80% and 43.86% compared with the CK treatment. The γ‐PGA mitigation of potential nitrate residue also decreased first and then increased with increasing γ‐PGA rates.ConclusionMultivariate regression analysis showed that 0.22% of the optimal γ‐PGA application rate could obtain a higher yield and water‐N productivity in cotton/soybean intercropping system simultaneously. © 2023 Society of Chemical Industry.

show abstract

Characterizing Spatiotemporal Variations of Soil Salinization and Its Relationship with Eco-Hydrological Parameters at the Regional Scale in the Kashi Area of Xinjiang, China from 2000 to 2017

Cited by 9 publications

References 33 publications

Spatio–Temporal Variability Characteristics of Coastal Soil Salinization and Its Driving Factors Detection

Spatio–Temporal Variability Characteristics of Coastal Soil Salinization and Its Driving Factors Detection

Arbuscular Mycorrhizal Fungal Colonization at Different Succession Stages in Songnen Saline-Alkali Grassland

Poly‐γ‐glutamic acid improved biological nitrogen fixation, water‐nitrogen productivity, and nitrate residue in cotton/soybean intercropping

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