Variability of Soil Salinity at Multiple Spatio-Temporal Scales and the Related Driving Factors in the Oasis Areas of Xinjiang, China

WenTai, Zhang; Wu, Hongqi; Gu, Hanming; Feng, Guang-Da; Wang, Ze; Sheng, Jiandong

doi:10.1016/s1002-0160(14)60062-x

Cited by 35 publications

(21 citation statements)

References 25 publications

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“…). Previous studies showed that the variation of soil properties, such as soil organic carbon and soil salinity, would increase along with increasing study area ( Zhang et al., ; Zhang et al, ). We presumed that the variation of soil depth would also increase when the study area became large.…”

Section: Resultsmentioning

confidence: 94%

Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates

Zhang

Sheng

et al. 2017

J. Plant Nutr. Soil Sci.

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Soil depth reflects the quantity and ecosystem service functions of soil resources. However, there is no universal standard to measure soil depth at present, and digital soil mapping approaches for predicting soil depth at the regional scale remain immature. Using observation of soil profile morphology, we compared the soil depth nomenclatures from the World Reference Base for Soil Resources, Chinese Soil Taxonomy, and Soil Taxonomy. For this study, shallow soils were defined as those with an effective soil depth < 100 cm. Based on legacy data and field soil survey, the spatial distribution of shallow soils in Xinjiang, China, and the main controlling environmental factors were explored. Results showed that shallow soils in Xinjiang are mainly distributed in high altitude regions such as the Tian Mountains. At the regional scale, significant correlations were observed between soil depth and climate factors, as well as between soil depth and vegetation fractional coverage. Contrary to previous conclusions at small spatial scales, terrain attributes could not explain soil depth variation at the regional scale. This study addressed knowledge gaps on soil depth prediction at regional scales while elucidating climate‐vegetation‐soil coevolution.

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Section: Resultsmentioning

confidence: 94%

Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates

Zhang

Sheng

et al. 2017

J. Plant Nutr. Soil Sci.

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“…Dimethoate rapidly permeated into the soil within the first 2 h. The residual amount of dimethoate in Kashgar soil was lower than that in Bole after 15 days. This may be due to the severity of soil salinization in Kashgar, where the soil environment is conducive to degradation of dimethoate …”

Section: Resultsmentioning

confidence: 99%

“…4). The dimethoate concentration was higher in the upper layer (0-10 cm) than in the other layers, 26 where the soil environment is conducive to degradation of dimethoate. 12,27 Table 3 shows the half-life and regression equations for dimethoate in different parts of maize plants in Bole and Kashgar under field conditions.…”

Section: Difference In the Effects Of Dimethoate Applied By Artificiamentioning

confidence: 87%

Effect of dimethoate in controlling Monolepta hieroglyphica (Motschulsky) and its distribution in maize by drip irrigation

Zheng

Jiang

Jia

et al. 2019

Pest Management Science

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BACKGROUND Monolepta hieroglyphica (Motschulsky) is a primary pest of maize. The effect of dimethoate on controlling a M. hieroglyphica infestation was studied using drip irrigation. Field trials were conducted to determine the most effective application rate and water volume for dimethoate treatment in arid and semi‐arid regions. The absorption, distribution and dissipation of dimethoate in maize and soil were examined. RESULTS Field trials showed that dimethoate at a rate of 2.70 kg a.i. ha−1 and water volume of 200 m3 ha−1 was the most effective treatment for controlling M. hieroglyphica. Dimethoate via drip irrigation showed longer persistence than dimethoate applied via artificial or unmanned air vehicle spraying. Different parts of the maize plant had a hysteresis effect on dimethoate absorption. Dimethoate was absorbed from the roots, transported upward, and enriched in the leaf. Dimethoate was mainly concentrated within a certain range near the emitter after drip irrigation. Terminal residues of dimethoate in maize grain were below detectable levels 42 days after treatment. CONCLUSIONS Dimethoate treatment via drip irrigation can control M. hieroglyphica infestation on maize. Results showed that dimethoate is safe for maize and the environment. This study provides guidance for the application of pesticides in arid and semi‐arid areas. © 2019 Society of Chemical Industry

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“…For selection of appropriate indicators to populate each Driver, Pressure, and State variable in the simulation model, we reviewed previously published literature about soil salinization related to sociological, ecological and environmental systems [11,12,57,58]. This provided major variable sources for the model.…”

Section: Variable Indicators and Proxiesmentioning

confidence: 99%

Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China

Seydehmet

Nurmemet

et al. 2018

Sustainability

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Significant anthropogenic and biophysical changes have caused fluctuations in the soil salinization area of the Keriya Oasis in China. The Driver-Pressure-State-Impact-Response (DPSIR) sustainability framework and Bayesian networks (BNs) were used to integrate information from anthropogenic and natural systems to model the trend of secondary soil salinization. The developed model predicted that light salinization (vegetation coverage of around 15-20%, soil salt 5-10 g/kg) of the ecotone will increase in the near term but decelerate slightly in the future, and that farmland salinization will decrease in the near term. This trend is expected to accelerate in the future. Both trends are attributed to decreased water logging, increased groundwater exploitation, and decreased ratio of evaporation/precipitation. In contrast, severe salinization (vegetation coverage of around 2%, soil salt ≥20 g/kg) of the ecotone will increase in the near term. This trend will accelerate in the future because decreased river flow will reduce the flushing of severely salinized soil crust. Anthropogenic factors have negative impacts and natural causes have positive impacts on light salinization of ecotones. In situations involving severe farmland salinization, anthropogenic factors have persistent negative impacts.

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Variability of Soil Salinity at Multiple Spatio-Temporal Scales and the Related Driving Factors in the Oasis Areas of Xinjiang, China

Cited by 35 publications

References 25 publications

Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates

Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates

Effect of dimethoate in controlling Monolepta hieroglyphica (Motschulsky) and its distribution in maize by drip irrigation

Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China

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