Assessment of Soil Spatial Variability in Agricultural Ecosystems Using Multivariate Analysis, Soil Quality Index (SQI), and Geostatistical Approach: A Case Study of the Mnasra Region, Gharb Plain, Morocco

Agronomy, Год журнала: 2024, Номер 14(6), С. 1112 - 1112

Опубликована: Май 23, 2024

Accurate assessment of soil quality is crucial for sustainable agriculture and conservation. Thus, this study aimed to assess in the agricultural ecosystem Mnasra region within Gharb Plain Morocco, employing a comprehensive approach integrating multivariate analysis geostatistical techniques. Thirty samples were collected from surface layers across thirty selected sites. The results showed significant variations properties area, influenced by factors such as texture, parent material, practices. Pearson correlation principal component (PCA) employed analyze relationships among compute Soil Quality Index (SQI). SQI revealed values ranging 0.48 0.74, with 46.66% sampled soils classified “Good” 53.33% “Fair”. Geostatistical analysis, particularly ordinary kriging (OK) interpolation semivariogram modeling, highlighted spatial variability properties, aiding mapping landscape. integrated demonstrates importance combining field assessments, statistical analyses, geospatial techniques evaluation informed land management decisions. These findings offer valuable insights decision-makers monitoring managing promote development Morocco.

Язык: Английский

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

Agronomy, Год журнала: 2024, Номер 14(5), С. 882 - 882

Опубликована: Апрель 23, 2024

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

Язык: Английский

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Integrated soil health management influences soil properties: Insights from a US Midwest study

Geoderma, Год журнала: 2025, Номер 455, С. 117214 - 117214

Опубликована: Фев. 17, 2025

Язык: Английский

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Exploring the Relationship Between Agricultural Land Use and Soil Quality: Insight from Southern Ethiopia Agro-ecologies

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100724 - 100724

Опубликована: Май 1, 2025

Язык: Английский

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