Application of various methodological approaches for assessment of soil micromorphology due to VESTA program applicable to prediction of the soil structures formation
Notice bibliographique
Résumé
Received: 2015-07-22  |  Accepted: 2016-03-11  |  Available online: 2016-05-30 dx.doi.org/10.15414/afz.2016.19.02.68-73 This work introduces concepts of methodological approach (theoretical investigation) in terms of soil structure analysis. The aim of this work is using VESTA program application as appropriate alternative to quantification of micromorphological analysis. This evaluation mainly with regarded to effects for soils structure at the interactions/ predictions with many aspects of aggregate destruction-stability-reactivity in soil system. This work elucidates different kind of methodological approaches such as implementation 2D micromorphological model, X-ray analysis and their extrapolation in VESTA program. There is some evidence that construct data and parameters gained from this program are suitable for other considerations. For these points is possible to assign of reaction kinetic, established minerals phase and genetic relationships in soil system, detect of potential transformation, mobilization and immobilization activity, distribution of elements species even by general and specific properties of aggregate forms. Detailed characterization (modeled design) of rocks and minerals inorganic particles of soil aggregate forms on the atomic level has significant importance due to detailed data examinations input. In the case of operation module could eliminate of influence various undetected (non-identify) factors and in additionally refine on standardize appropriate fitted the more realistic model. Keywords: methodological approach, micromorphology, X-ray analysis, VESTA design References BARKER, W. et al. (1998) Experimental observations of the effects of bacteria on aluminosilicate weathering. Am Mineral ., vol. 83, pp. 1551-1563. BRONICK, C.J. and LAL, R. (2005) The soil structure and land management: a review. Geoderma, vol. 124, no. 1-2, pp. 3-22. doi: http://dx.doi.org/10.1016/j.geoderma.2004.03.005 CARTER, M.R. and STEWART, B.A. (1996) Structure and organic matter storage in agricultural soils. Boca Raton: CRC/Lewis Publisher. Chenu, C. and Cosentino, D. (2011) Microbial regulation of Soil Structural Dynamics. In: RITZ, K. and Young, I. (eds.) The Architectural and Biology of Soils: Life in Inner Space. London: CAB International, pp. 259-272. ÄURLÃK, J. (2011) Potentially toxic trace elements and their distribution in Slovakian soils . Bratislava: Suma print (in Slovak). ÄURLÃK, J. and KOLESÃR, M. (2014) Inorganic carbon sequestration in autigenic carbonates and their distribution in soils on loess: micromorphological aspects. AGEOS , vol. 6, pp. 191-202 (in Slovak). Edwards, A.P. and Bremner, J.M. (1967) Microaggregates in soils. J Soil Sci. , vol. 18, pp. 64-73. GADD, G.M. (2007) Geomycology: biogeochemical transformations of rocks, minerals, metals and radionuclides by fungi, bioweathering and bioremediation. Mycol Res ., vol. 111, pp. 3-49. GONZÃLEZ, C. et al. (2007) Applying multivariate methods to soilâsolution interactions in carbonate media. In. Geoderma , vol. 137, pp 352-359. Grosbellet, G. et al. (2011) Improvement of soil structure formation by degradation of coarse organic matter. Geoderma , vol. 162, pp. 27â38. doi: http://dx.doi.org/10.1016/j.geoderma.2011.01.003 Hu, F. et al. (2015) Particles interaction forces and their effects on soil aggregates breakdown. Soil Till. Res., vol. 147, pp. 1â9. doi: http://dx.doi.org/10.1016/j.still.2014.11.006 IUSS Working Group WRB (2006) World reference base for soil resources. World Soil Resources Reports no. 103 . Rome: FAO. Jozefaciuk, G. and Czachor, H. (2014) Impact of organic matter, iron oxides, alumina, silica and drying on mechanical and water stability of artificial soil aggregates. Assessment of new method to study water stability. Geoderma, vol. 221â222, pp. 1â10. doi: http://dx.doi.org/10.1016/j.geoderma.2014.01.020 JUMA, N.G. (1999) Pedosphere and its dynamics . Edmonton (Canada): Salman Productions Ins. KAY, B.D. (1998) Soil structure and organic carbon: a review. In: LAL, R. et al. (eds.) Soil Processes and the Carbon Cycle . Boca Raton: CRC Press, pp. 169-197. Kögel-Knabner, I. et al. (2008) An intergrative approach of organic matter stabilization in temperate soils: Linking chemistry, physics and biology. J Plant Nutr Soil Sci. , vol. 171, pp. 5-13. KOLENÄÃK, M. et al. (2011) Biological and chemical leaching of arsenic and zinc from adamite. Chem Listy ., vol. 105, pp. 961-965. KUO, Y-M., et al. (2009) Apatite control of phosphorus release to runoff from soils of phosphate mine reclamation areas. Water Air Soil Pollut. , vol. 202, pp.189-198. Lal, R. and Shukla, M.K. (2004) Principles of soil physics . New York: Marcel Dekker. LI, G.Y. and FAN, H.M. 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Roger-Estrade, J. et al. (2010) Tillage and soil ecology: partners for sustainable agriculture. Soil Till Res., vol. 111, no. 1, pp. 33â40. doi: http://dx.doi.org/10.1016/j.still.2010.08.010 Santos, D. et al. (1997) Uniform separation of concentric surface layers from soil aggregates. Soil Sci Soc Am J ., vol. 61, pp. 720-724. doi: http://dx.doi.org/10.2136/sssaj1997.03615995006100030003x Å IMANSKÃ, V. (2012) Assessment of soil structure under monoculture of vine. Roczniki Gleboznawce , vol. 63, no. 2, p. 42â45. doi: http://dx.doi.org/10.2478/v10239-012-0023-2 Å imanský, V. and BajÄan, D. (2014) The stability of soil aggregates and their ability of carbon sequestration. Soil & Water Res., vol. 9, no. 3, pp. 111-118. Å IMANSKÃ, V. et al. (2013) The effect of organic matter on aggregation under different soil management practices in a vineyard in an extremely humid year. Catena, vol. 101, pp. 108-113. doi: http://dx.doi.org/10.1016/j.catena.2012.10.011 SOMASUNDARAN, J. et al. 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».