Assessing alteration of soil quality, degradation, and resistance indices under different land uses through network and factor analysis

Zahedifar, Maryam

doi:10.1016/j.catena.2022.106807

Cited by 46 publications

(8 citation statements)

References 46 publications

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“…The applied methodology seems to be sensitive and robust in assessing livestock activity´s impacts on soil quality. These findings highlight the importance of understanding the relationships between livestock activity and soil quality and how using indices such as the SQI and SSI L can provide valuable information for soil management and livestock activity decision-making processes [44].…”

Section: Discussionmentioning

confidence: 95%

Application of Soil Multiparametric Indices to Assess Impacts of Grazing in Mediterranean Forests

Isabel,

Francisco,

Consolación

et al. 2024

Land

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In this study, the effects of different stocking rates were quantified in three study areas in a Mediterranean forest (Cuenca, Spain) by applying a multiparametric soil quality index (SQI) developed from undisturbed forest soils (>40 years). The main objective was to advance the development and application of multiparametric indices that allow for soil condition assessment. To fulfill this objective, the effectiveness of the developed multiparametric soil quality index (SQI) was analyzed as an indicator of livestock impacts on soil in the Mediterranean forest. The control areas without livestock activity were forest stands of different ages (a thicket forest stand of <30 years; a high-polewood forest stand of 30–60 years; and an old-growth forest stand of >60 years), which were compared with areas subjected to various grazing intensities (areas with permanent livestock passage: a sheepfold that had been inactive for 2–3 years and an active sheepfold; areas with intermittent livestock passage: a bare-soil area, a pine stand and a scrubland). The applied multiparametric soil quality index (SQI) was sensitive to changes in forest ecosystems depending on the stocking rates. However, to obtain greater precision in the assessment of the effects of stocking rates, the multiparametric index was recalibrated to create a new index, the Soil Status Index by Livestock (SSIL). The correlation between the quality ranges obtained with both indices in different study areas suggests that the SSIL can be considered a livestock impact reference indicator in Mediterranean forest soils.

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Section: Discussionmentioning

confidence: 95%

Application of Soil Multiparametric Indices to Assess Impacts of Grazing in Mediterranean Forests

Isabel,

Francisco,

Consolación

et al. 2024

Land

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“…Soil quality indicators are tools that provide a current diagnosis of soil condition by analyzing its physical, chemical, and biochemical properties which are able to serve or function as quality indicators [19]. In eroded soils, the determination of quality is essential to evaluate the conditions in which the soil is found due to the erosive phenomenon either caused naturally or anthropogenically and to identify the properties that are more sensitive due to erosion, which can provide information about soil quality [36]. Quality indices are a useful way to generate information about soil properties, processes, and characteristics.…”

Section: Discussionmentioning

confidence: 99%

Soil Quality Assessment in Response to Water Erosion and Mining Activity

et al. 2023

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Erosion significantly decreases the depth of a soil, the nutrients available for plants, the organic matter and, consequently, the productivity of the edaphic environment. Due to the above considerations, the objective of this study was to evaluate, through various properties, the quality of two eroded soils, one eroded by water and the other by mining activity, amended with biosolids. The quality for both soils was estimated through the selection of a minimum set of data by means of principal component analysis (PCA) and the subsequent realization of correlations, multiple regressions and finally calculations of normalized values (Vn) of those properties considered as indicators of soil quality. According to the results, inorganic nitrogen (NI) and respiratory activity (RA) were the properties selected as indicators to assess quality. For soil eroded by water and by mining activity, NI presented a low and very low quality, respectively (class 4 and 5 of quality according to the calculation of Vn). The quality of RA in soil eroded by mining extraction was very high (quality class 1 according to Vn), and thus it can be considered an ideal indicator for the evaluation of soil quality due to its sensitivity to anthropogenic changes (mining) in soil.

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“…Therefore, many conceptual models and approaches have been established to assess SQ under different regions in the world [2,11,12]. Among these models and approaches, the soil quality index (SQI) established using minimum data set (MDS) is widely accepted and used to assess SQ because of accuracy, labor and cost saving, and quantitative flexibility [7,13]. For example, Yang et al, in the Sanjiang Plain, northeastern China, used MDS to establish SQIs and analyzed the influences of land use change on SQ [14].…”

Section: Introductionmentioning

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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Assessing alteration of soil quality, degradation, and resistance indices under different land uses through network and factor analysis

Cited by 46 publications

References 46 publications

Application of Soil Multiparametric Indices to Assess Impacts of Grazing in Mediterranean Forests

Application of Soil Multiparametric Indices to Assess Impacts of Grazing in Mediterranean Forests

Soil Quality Assessment in Response to Water Erosion and Mining Activity

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

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