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| 1 | Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran显示文摘Natural soil-forming factors such as landforms, parent materials or biota lead to high variability in soil properties. However, there is not enough research quantifying which environmental factor(s) can be the most relevant to predicting soil properties at the catchment scale in semi-arid areas. Thus, this research aims to investigate the ability of multivariate statistical analyses to distinguish which soil properties follow a clear spatial pattern conditioned by specific environmental characteristics in a semi-arid region of Iran. To achieve this goal, we digitized parent materials and landforms by recent orthophotography. Also, we extracted ten topographical attributes and five remote sensing variables from a digital elevation model(DEM) and the Landsat Enhanced Thematic Mapper(ETM), respectively. These factors were contrasted for 334 soil samples(depth of 0–30 cm). Cluster analysis and soil maps reveal that Cluster 1 comprises of limestones, massive limestones and mixed deposits of conglomerates with low soil organic carbon(SOC) and clay contents, and Cluster 2 is composed of soils that originated from quaternary and early quaternary parent materials such as terraces, alluvial fans, lake deposits, and marls or conglomerates that register the highest SOC content and the lowest sand and silt contents. Further, it is confirmed that soils with the highest SOC and clay contents are located in wetlands, lagoons, alluvial fans and piedmonts, while soils with the lowest SOC and clay contents are located in dissected alluvial fans, eroded hills, rock outcrops and steep hills. The results of principal component analysis using the remote sensing data and topographical attributes identify five main components, which explain 73.3% of the total variability of soil properties. Environmental factors such as hillslope morphology and all of the remote sensing variables can largely explain SOC variability, but no significant correlation is found for soil texture and calcium carbonate equivalent contents. Therefore, we conclude that SOC can be considered as the best-predicted soil property in semi-arid regions. | Mojtaba ZERAATPISHEH Shamsollah AYOUBI Magboul SULIEMAN JesusRODRIGO-COMINO | 2019 | Journal of Arid Land2019，11，4： | 5 |
| 2 | Adverse effects and drug interactions associated with local and regional anaesthesia显示文摘 | Naguib M Magboul MM Samarkandi AH | | 0，，04： | 1 |
| 3 | Prification and characterization of an amionpeptidase from Lactobacillus curvatus DPC2024显示文摘 | MAGBOUL A A A MCSWEENEY P L H | 1999 | International Dairy Journal1999，9，2： | 1 |
| 4 | Proteolysis in cheese during ripening显示文摘 | Upadhyay V K McSweeney P L H Magboul A A A | 2004 | In Cheese: Chemistry Physics and Microbiology2004，1，3： | 1 |
| 5 | Antimicribial activity of vernolepin and vernodalin显示文摘 | Magboul A Z I Bashir A K Khalid S A | 1997 | Fitoterapia1997，，1： | 1 |
| 6 | Purification and properties of an acid phosphatase from Lactobacillus curvatus,DPC2024显示文摘 | Abdallah A A Magboul P McSweeney L H | 1999 | International Dairy Journal1999，9，： | 1 |
| 7 | Purification and characterization of an acid phosphatase from Lactobacillus plantarum DPC2739 显示文摘 | Abdallah A Magboul A Paul L H Mc-Sweeney | 1999 | Food Chemistry1999，，65： | 1 |
| 8 | Cysteine protease activity in bovine milk 显示文摘 | MAGBOUL A A LARSEN L MCSWEENEY P H | 2001 | Internationa Dairy Journal2001，11，： | 1 |
| 9 | Prification and characterization of an amionpeptidase from Lactobacillus curvatus DPC2024显示文摘 | MAGBOUL A A A MCSWEENEY P L H | 1999 | International Dairy Journal1999，2，9： | 1 |
| 10 | The dilemma of airway assessment and evaluation 显示文摘 | Magboul MA | 2004 | The Internet Journal of Anesthesiology2004，10，1： | 1 |
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