Soil quality assessment of reclaimed land in the urban–rural fringe

Li, Fangfang; Zhang, Xinsheng; Zhao, Ye; Song, Mengjie; Liang, Jia

doi:10.1016/j.catena.2022.106692

Cited by 10 publications

(9 citation statements)

References 82 publications

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“…(3) The correlation analysis of indicators under the same PC in MDS is taken as follows: If the indicators are highly correlated (R > 0.5), the indicator with the highest norm value is retained; if not, all indicators are retained. ( 4) If an indicator appears in both PCs in the MDS, it is assigned to the set of PCs with the lower load value [51,52]. Norm, also known as the modulus vector, is a length indicator of the modulus vector in a multidimensional space.…”

Section: Determination Of the Mdsmentioning

confidence: 99%

Assessment of the Effects of Fencing Enclosure on Soil Quality Based on Minimum Data Set in Biru County of the Qinghai–Tibet Plateau, China

et al. 2023

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Fencing enclosures play an important role in improving ecological quality. There is a direct impact of implementing fencing enclosures on the change in soil quality. The soil quality index was used to examine the effects of fencing enclosures for different years (7 and 11 years) on soil quality in Biru County of Qinghai–Tibet Plateau, China. The fencing enclosure significantly increased soil water content, non-capillary porosity, soil organic matter, total nitrogen, total phosphorus, and alkali-hydrolyzable nitrogen, and significantly decreased the soil bulk density. The soil quality gradually improved as the fencing enclosure time length increased, probably due to the increase of vegetation coverage and biomass under the fencing enclosure. The minimum data set was composed of soil organic matter, capillary porosity, total potassium, and non-capillary porosity. The minimum data set was significantly correlated with the total data set and could replace the total data set for soil quality evaluation in the fencing enclosure project area. In summary, our study reflects that fencing enclosures significantly improve soil quality, and the implementation of the fencing enclosure project will effectively curb land degradation in Biru County of the Qinghai–Tibet Plateau, China.

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Section: Determination Of the Mdsmentioning

confidence: 99%

Assessment of the Effects of Fencing Enclosure on Soil Quality Based on Minimum Data Set in Biru County of the Qinghai–Tibet Plateau, China

et al. 2023

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“…The experiment established two datasets which were MDS and TDS to analyze the data, and TDS and MDS used principal component analysis (PCA) to analyze (Gewers et al, 2021; Li et al, 2023). The weights of TDS were determined by communities (Huang et al, 2021; Shao et al, 2020; Yu et al, 2018), and the weights of MDS were calculated by the ratio of the variance of each principal component to the cumulative variance of principal component with eigenvalues ≥1 (Rezaei et al, 2006; Santos‐Francés et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…There were three scoring functions for soil indicators, “more is better”, “less is better”, and “optimum is better”, respectively. It was considered that bulk density was to be as “less is better”, others were “more is better” (Li et al, 2023; Raiesi, 2017; Volchko et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

Effects of different tillage and fertilizer on soil quality under wheat‐maize rotation in the North China Plain

Zhang,

Chen,

Guo

et al. 2024

Land Degrad Dev

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The North China Plain plays an important role in China's crop cultivation regions, with the wheat‐maize rotation serving as the predominant cropping system. Nonetheless, a dearth of research refers to the impact of tillage and fertilizer employment on soil quality (SQ) in this region. In this study, the primary objective centered on utilizing the soil quality index (SQI) derived from both minimum and total datasets (MDS, TDS) by the linear and nonlinear scoring criteria to assess SQ. The results indicated that there was a significant correlation between wheat‐maize yield and SQI, revealing a significant association between yield and key soil parameters such as bulk density, soil porosity, total phosphorus, alkali‐hydrolyzed nitrogen, available phosphorus and cation exchange capacity at 0–60 cm soil layer. The study identifies that substantially elevated SQI mean values were completely under T8 whose values were 0.980 (linear), 0.672 (nonlinear) under MDS and 0.908 (linear), 0.701 (nonlinear) under TDS at 20–40 cm. Importantly, the annual yields were the highest when the SQI values were the maximum. Furthermore, SQ levels within this locale demonstrate a moderate to highly favorable status, ultimately underscoring the area's propitious conditions for crop cultivation. This research provides indispensable theoretical guidance for agricultural practitioners and offers a foundational framework supporting enhanced yields in local grain crops.

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“…The PCA was performed to analyze the data matrix of the selected soil properties above. Considering the principal components (PCs) contribution in the present study, only the PCs with an eigenvalue of more than 1 were considered meaningful and thus were chosen for selecting the key soil indicators in MDS [24,25]. In each chosen PC, the soil properties with a loading value of more than 90% of the highest loading value in the same PC were considered as the important soil indicators, and these important soil indicators were kept representing this PC in MDS.…”

mentioning

confidence: 99%

“…The LSM and NLSM were two commonly used scoring methods in SQ evaluation under different regions and different management practices, which could well reflect the function of soil indicators in SQ [24,25]. Therefore, the soil indicators selected in MDS were transformed into dimensionless scores (ranging from 0 to 1) using the LSM and nNLSM in the present study.…”

mentioning

confidence: 99%

Influence of Land Use Types on Soil Properties and Soil Quality in Karst Regions of Southwest China

Ma,

Si,

et al. 2024

Agronomy

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Establishing a suitable and useful soil quality index (SQI) is the key to accurately evaluating changes in soil quality (SQ) under different land use types. In the present study, a suitable and useful SQI using a minimum data set (MDS) with two scoring methods (linear scoring method and nonlinear scoring method) and two additive models (simple additive model with same weighting value and weighted additive model with significant different weighting value) was established to compare SQ under different land uses in Longtan valley. Soil samples were collected under one dryland (DRYL), one paddy (PADD), one orchard (GRA), and one natural forest (FORE), and 13 soil properties were measured. The four land use types had the same soil type and similar environmental conditions. Land use types had significant effects on the measured 12 soil properties. The top two principal components in Principal Component Analysis were chosen, and their cumulative variance was more than 90%. Soil indicators of soil labile carbon, C/N ratio, and microaggregates were chosen as members of MDS in this study. Significant (p < 0.001) positive correlations among the four establishing SQIs were found. The values of the sensitive index ranged from 47.17% to 82.12% for the four SQIs, and the SQI established using the nonlinear scoring method and weighted additive model (SQI-NLW) had the highest values. Among the four land use types, the four SQIs had similar change trends, and the average values of SQ under FORE (0.73) and PADD (0.68) were significantly higher than those under GRA (0.54) and DRYL (0.43). These results indicated that the SQI-NLW was an effective and precise tool to assess SQ under different land uses in similar regions, and the FORE and PADD were the suitable land use types for the sustainable use of soils in karst regions.

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Soil quality assessment of reclaimed land in the urban–rural fringe

Cited by 10 publications

References 82 publications

Assessment of the Effects of Fencing Enclosure on Soil Quality Based on Minimum Data Set in Biru County of the Qinghai–Tibet Plateau, China

Assessment of the Effects of Fencing Enclosure on Soil Quality Based on Minimum Data Set in Biru County of the Qinghai–Tibet Plateau, China

Effects of different tillage and fertilizer on soil quality under wheat‐maize rotation in the North China Plain

Influence of Land Use Types on Soil Properties and Soil Quality in Karst Regions of Southwest China

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