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

Zi-jia, Wang; Jia, Lizhi; Yang, L.; Guo, Zihao; Sang, Weiguo; Lu, Lu; Xiao, Chunwang

doi:10.3390/agronomy13061558

Cited by 3 publications

(7 citation statements)

References 60 publications

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“…Land use change had significant effects on soil property contents in different regions and nations [18,22]. Our results confirmed the findings that land use change in karst regions significantly changed the contents of different soil properties (Table 1).…”

Section: Effect Of Land Use Types On Soil Propertiessupporting

confidence: 89%

“…The PCA analysis was an effective method for reducing redundant information and selecting useful information. This method is commonly used for selecting the MDS for SQ assessment [2,18]. The cumulative variance of the chosen PCs exceeded 92%, which indicated that the two PCs could reflect the variability of the twelve soil properties, and they could be used to choose the key soil indicators in MDS.…”

Section: Evaluation Of Sq Using Different Soil Quality Indexesmentioning

confidence: 99%

“…After selecting the MDS, two common methods, the linear scoring method (LSM) and the nonlinear scoring method (NLSM), were used to score the soil properties in MDS. However, some studies used the LSM to establish the SQI [14,16], and other studies used the NLSM to calculate the SQI [10,18]. Comparisons between the two methods to determine which was better for assessing SQ were very few in previous studies and thus resulted in uncertain or inaccurate results in SQ assessment [6].…”

Section: Introductionmentioning

confidence: 99%

“…If these soil indicators were significantly correlated, only the soil indicator with the highest loading value was chosen to represent this PC in MDS. If these soil indicators were not correlated with each other, all the uncorrelated soil indicators were chosen to represent this PC in MDS [18].…”

mentioning

confidence: 99%

“…The sensitivity index (SI) of the soil quality index was used to evaluate the effectiveness and sensitivity potential of establishing SQIs for different land use types [18,20]. A high SI value indicated the SQI was more effective and sensitive to different land use types.…”

mentioning

confidence: 99%

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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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Section: Effect Of Land Use Types On Soil Propertiessupporting

confidence: 89%

Section: Evaluation Of Sq Using Different Soil Quality Indexesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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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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A comprehensive evaluation of soil quality in the Three River Headwaters Region, China

Cui,

Li,

Feng

et al. 2024

Global Ecology and Conservation

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Quantifying the Impact of Organic Fertilizers on Soil Quality under Varied Irrigation Water Sources

Lin,

Lei,

Liu

et al. 2023

Water

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The issues of limited water availability and excessive fertilizer utilization, both of which negatively impact soil health and crop productivity, are key focal points in the pursuit of sustainable agricultural progress. Given these crucial obstacles, it is crucial to utilize accurate methods of irrigation and fertilization in order to improve the condition of the soil and promote the progress of sustainable farming. The objective of this research is to determine the optimal indicators for creating a minimal data set (MDS) that can assess the influence of organic fertilizers on the quality of pakchoi soil in varying irrigation water sources. Principal component analysis and norm values were utilized to create the MDS, and its accuracy was confirmed by examining coefficients of Nash efficiency and relative deviation. The results of our study showed that there was not much difference in soil bulk density (BD), but there was moderate variation in soil water content (SWC), soil salt content (SSC), alkali-hydrolyzed nitrogen (AN), available phosphorus (AP), available potassium (AK), and organic matter (OM). The selected MDS indicators included BD, AN, and OM. The soil quality index (SQI) achieved a high R2 value of 0.952, indicating a strong correlation. Furthermore, the nonlinear evaluation model showed a high level of effectiveness and efficiency, with Ef and Er values of 0.899 and 0.046, respectively. The effectiveness of this model in evaluating soil quality under different irrigation water conditions is evident. Notably, treatments involving magnetized–ionized brackish water (average SQI = 0.524) and the application of 20 kg/ha organic fertilizer (average SQI = 0.719) demonstrate the capacity to enhance soil quality. The present study presents a pragmatic, productive, and economical quantitative evaluation approach that can be used for worldwide vegetable farming with the utilization of clean water, saline water, magnetized–ionized saline water, and organic manure. Thus, we encourage vegetable growers to consider adopting both magnetized–ionized brackish water and organic fertilizers, and the utilization of the nonlinear soil quality index evaluation model is recommended as it offers a sensitive and effective approach to assessing soil quality across various irrigation and organic fertilizer schemes.

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

Cited by 3 publications

References 60 publications

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

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

A comprehensive evaluation of soil quality in the Three River Headwaters Region, China

Quantifying the Impact of Organic Fertilizers on Soil Quality under Varied Irrigation Water Sources

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