A comprehensive, locally adapted soil quality indexing under different land uses in a typical watershed of the eastern Qinghai-Tibet Plateau

Zhao, Xiaohong; Tong, Miaomiao; He, Yuejun; Han, Xiuru; Wang, Lingqing

doi:10.1016/j.ecolind.2021.107445

Cited by 26 publications

(5 citation statements)

References 54 publications

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“…Cheng et al 20 analysed the content and source of heavy metals in the grassland near the Shengli coal mine base and found that the average concentration of heavy metals was low and did not threaten the local soil quality, although the coal base had a significant effect on the heavy metal concentration in the grassland. On the Qinghai-Tibet Plateau, Zhao et al 21 analysed the physical and chemical properties of the soil, used a comprehensive fuzzy mathematical model combined with the soil quality index to evaluate and calculate the soil quality in the study area, and found that the grassland soil quality was low. The evaluation indexes and methods selected differed among the study areas due to the influence of the evaluation scale, soil, climate and other factors.…”

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confidence: 99%

Comprehensive evaluation of soil quality in a desert steppe influenced by industrial activities in northern China

Wen-bao

et al. 2021

Sci Rep

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Desert steppe soil security issues have been the focus of attention. Therefore, to understand the impact of industrial activities on the soil quality of desert grasslands, this experiment investigated the Gaoshawo Industrial Concentration Zone in Yanchi County. Based on the distance and direction from the industrial park, sample plots were established at intervals of 1–2 km. A total of 82 surface soil samples (0–20 cm) representing different pollution sources were collected. The samples were analysed for pH, total nitrogen, total phosphorus, available phosphorus, available potassium, organic matter, copper (Cu), cadmium (Cd), chromium (Cr), lead (Pb), and zinc (Zn). The desert steppe soil quality was analysed based on the integrated fertility index (IFI) and the Nemerow pollution index (PN), followed by the calculation of the comprehensive soil quality index (SQI), which considers the most suitable soil quality indicators through a geostatistical model. The results showed that the IFI was 0.393, indicating that the soil fertility was relatively poor. Excluding the available potassium, the nugget coefficients of the fertility indicators were less than 25% and showed strong spatial autocorrelation. The average values of Cu, Cd, Cr, Pb and Zn were 21.64 ± 3.26, 0.18 ± 0.02, 44.99 ± 21.23, 87.18 ± 25.84, and 86.63 ± 24.98 mg·kg−1, respectively; the nugget coefficients of Cr, Pb and Zn were 30.79–47.35%. Pb was the main element causing heavy metal pollution in the study area. Higher PN values were concentrated north of the highway in the study area, resulting in lower soil quality in the northern region and a trend of decreasing soil quality from south to north. The results of this research showed that the average SQI was 0.351 and the soil quality was extremely low. Thus, industrial activities and transportation activities in the Gaoshawo Industrial Zone significantly impact the desert steppe soil quality index.

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confidence: 99%

Comprehensive evaluation of soil quality in a desert steppe influenced by industrial activities in northern China

Wen-bao

et al. 2021

Sci Rep

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“…According to these results, the TC was the most effective parameter, and the silt content was evaluated as the least effective parameter for the soil quality index value. In similar studies, it was stated that the organic matter content has the highest weight coefficient than any other property, and the silt content has the lowest weight coefficient (Karaca et al 2021;Zhao et al 2021).…”

Section: Resultsmentioning

confidence: 97%

Determining the effects of the forest stand age on the soil quality index in afforested areas: A case study in the Palandöken Mountains

Çomaklı¹,

Turgut²

2021

Soil & Water Res.

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Afforestation is an essential strategy for erosion control. The objective of this study was to determine the soil quality index (SQI) in established afforested areas of different ages for erosion control in Erzurum, Turkey. Three afforested areas were selected as plots considering their establishment periods: + 40 years old (AA>40), 10–40 years old (AA10–40), and less than 10 years old (AA<10). Forty soil samples were taken in each plot area over the 0–15 and 15–30 cm depths. The soil samples were analysed for the texture, mean weight diameter, aggregate stability, pH, electrical conductivity, total nitrogen, total carbon, and total sulfur contents. These properties were used as the soil quality indicators, whereby the analytic hierarchy process (AHP) and principal component analysis (PCA) were used to establish their relative importance for describing the soil quality. The indicators were scored using the linear score functions of “more is better” and “optimum value”. For determining the SQI, the additive method (SQIA), the weighted method with AHP (SQIAHP), and the weighted method with PCA (SQIPCA) were used. The SQI scores of the plots showed statistically significant differences. In all three methods, the highest SQI value was obtained from the AA>40 plots.

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“…The x 1 , x 2 , x 3 , x 4 values are listed in Table 1 [ 21 ]. The weight a i of participating indices was determined by the correlation coefficient method.…”

Section: Methodsmentioning

confidence: 99%

“…Soil quality is an all-round reflection of soil characteristics and also the most sensitive indicator, revealing soil condition dynamics in order to embody the impact of natural factors and human activities on the soil, which can be assessed through physical and chemical properties evaluation [ 21 ]. Soil fertility and soil environment quality are the most important indicators in soil quality.…”

Section: Introductionmentioning

confidence: 99%

Heavy Metal Pollution and Soil Quality Assessment under Different Land Uses in the Red Soil Region, Southern China

Yang

Zhang

et al. 2022

IJERPH

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The influences of different land uses associated with human activities on soil quality and the redistribution of heavy metal in soil have been widely concerned. Surface soil samples were obtained to assess comprehensive soil quality in a typical red soil region of southern China, combining the heavy metal pollution evaluation with fertility evaluation. It can be learned from the results that the overall level of soil fertility was at medium and lower level, and soil heavy metal pollution risk in the study area in a few regions had reached warning line and slight pollution line, and there was a risk of potential pollution. TOPSIS evaluation results showed that the comprehensive soil quality was mainly good quality and moderate quality, accounting for 31.7% and 29.0% of the total land area, respectively. Positive matrix factorization (PMF) model results showed that transportation source contributes a lot in terms of Cd and Pb. As for Cr, natural source contributes 53.8%. In terms of Cu and Zn, agriculture source contributes 50.7% and 38.7%, respectively. In a word, the comprehensive soil quality assessment in red soil region of southern China provides an important basis for the scientific management and sustainable utilization of soil resources.

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A comprehensive, locally adapted soil quality indexing under different land uses in a typical watershed of the eastern Qinghai-Tibet Plateau

Cited by 26 publications

References 54 publications

Comprehensive evaluation of soil quality in a desert steppe influenced by industrial activities in northern China

Comprehensive evaluation of soil quality in a desert steppe influenced by industrial activities in northern China

Determining the effects of the forest stand age on the soil quality index in afforested areas: A case study in the Palandöken Mountains

Heavy Metal Pollution and Soil Quality Assessment under Different Land Uses in the Red Soil Region, Southern China

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