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Enregistrement W2903428791 · doi:10.15414/afz.2018.21.02.63-76

Can soil properties of Fluvisols be influenced by river flow gradient?

2018· article· en· W2903428791 sur OpenAlexaboutno aff
Vladimí­r Šimanský

Notice bibliographique

RevueActa fytotechnica et zootechnica/Acta fytotechnica et zootechnica · 2018
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueSoil Carbon and Nitrogen Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCambisolEnvironmental scienceSoil horizonSoil scienceSoil classificationSoil waterSoil fertilitySoil morphologyAgronomyBiology

Résumé

récupéré en direct d'OpenAlex

Received: 2018-04-19 | Accepted: 2018-05-15 | Available online: 2018-06-30 https://doi.org/10.15414/afz.2018.21.02.63-76 The occurrence of Fluvisols is associated with the rivers, which means that their properties can be greatly influenced by the fluvial activity of the rivers. Therefore, the aim of this work were to (1.) find out whether the flow gradient along the river influenced the soil properties of Fluvisols (2.) evaluate the soil properties of Fluvisols. Soil samples were taken from Nitra River Catchment between villages Výčapy-Opatovce and Jelšovce near Nitra city. There were excavated five soil pits and soils were classified according to the World Reference Base for Soil Resources as follows: Profile 1 as Eutric Fluvisol (Loamic, Humic) (soil use: restored forest), Profile 2 as Eutric Fluvisol (Loamic, Humic) (soil use: arable soil), Profile 3 as Eutric Fluvisol (Loamic, Humic) (soil use: fallow soil), Profile 4 as Eutric Gleyic Fluvisol (Loamic, Humic) (soil use as: forest), Profile 5 as Eutric Fluvisol (Loamic, Humic) (soil use: r aid forest). The investigated Fluvisols had different chemical and physical properties, but not as a consequence of the flow gradient along the river. Differences in chemistry and physical properties of Fluvisols developed along the Nitra River have been significantly affected mainly by its use, soil management practices and depth of the soil profile. Keywords: physical and hydrophysical properties, soil structure, soil sorptive parameters, Fluvisols References ATSIVOR, L. et al. 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(1966) Soil water management. Praha: SNTL,  VTL (in Czech). LI, X.G. et al. (2007) Soil physical properties and their relations to organic carbon pools as affected by land use in an alpine pastureland. In Geoderma, vol. 139, pp. 98–105. doi:  http://dx.doi.org/10.1016/j.geoderma.2007.01.006 MATI, R. et al. (2011) Development of evapotranspiration and water supply of clay–loamy soil on the East Slovak Lowland. In Agricultural Water Management, vol. 98, pp. 1133–1140. doi: http://dx.doi.org/10.1016/j.agwat.2011.02.007 MEHRA, O. and JACKSON, J. (1960) Iron oxide removal from soils and clays by a dithionite-citrate system buffered with sodium bicarbonate. In Clay and Clays Minerals, vol. 5, pp. 317–327. PAPINI, R. et al. (2011) Influence of land use on organic carbon pool and chemical properties of Vertic Cambisols in central and southern Italy. In Agriculture, Ecosystems & Environment, vol. 140, pp. 68–79. doi: http://dx.doi.org/10.1016/j.agee.2010.11.013 PLANTE, A.F. and McGILL, W.B. (2002) Soil aggregate dynamics and the retention of organic matter in laboratoryincubated soil with differing simulated tillage frequencies. In Soil Till Res, vol. 66, pp. 79–92. doi: http://dx.doi.org/10.1016/S0167-1987(02)00015-6 PODRÁDZKÝ, V. and PROCHÁDZKA, J. (2009) Effects of the reforestation of agricultural lands on the humus form development in the midle altitudes. In Scientia Agriculturae Bohemica, vol. 40, no. 1, pp. 41–46. POLLÁKOVÁ, N. (2012) Physical properties of arable soil changed to forest soil with introduced Cryptomeria japonica Cristata. In Acta fytotechnica et zootechnica, vol. 15, no. 2, pp. 42–46. POLLÁKOVÁ, N. and ŠIMANSKÝ, V. 2015. Physical properties of Urban soil in the campus of Slovak University of Agriculture Nitra. In Acta fytotechnica et zootechnica, vol. 18, no. 2, pp. 30–35. doi: http://dx.doi.org/10.15414/afz.2015.18.02.30–35 SAFADOUST, A. et al. (2014) Least limiting water range as affected by soil texture andcropping system. In Agricultural Water Management, vol. 136, pp. 34–41. doi: http://dx.doi.org/10.1016/j.agwat.2014.01.007 SCHEFFER, F. and SCHACHTSCHABEL, P. (1970) Lehrbuch der Bodenkunde. Stuttgart: Verlag F. Enke SHUKLA, M.K. (2014) Soil physics an introduction. Boca Raton: CRC Press. ŠIMANSKÝ, V. and JONCZAK, J. (2016) Water-stable aggregates as a key element in the stabilization of soil organic matter in the Chernozems. In Carpathian journal of earth and environmental sciences, vol. 11, no. 2, pp. 511–517. ŠIMANSKÝ, V. and JONCZAK, J. (2017) Posúdenie vplyvu pôdnej organickej hmoty a oxidov železa na agregáciu. In Agrochémia, vol. XXI (51), no. 1, pp. 25–29. ŠIMANSKÝ, V., KOLENČÍK, M. and PUŠKEĽOVÁ, Ľ. (2014) Effects of carbonates and bivalent cations and their relationships with soil organic matter from the view point of aggregate formation. In Agriculture (Poľnohospodárstvo), vol. 60, no. 3, pp. 77–86. doi: http://dx.doi.org/10.2478/agri-2014-0009 TARNÍK, A. and IGAZ, D. (2015) Determination of plant available soil water storage in agricultural land of the Nitra River Catchment. In Acta Horticulturae et Regiotecturae, vol. 18, no. 1, pp. 16–19. doi: http://dx.doi.org/10.1515/ahr-2015-0004 TISDALL, J.M. (1996) Formation of soil aggregates and accumulation of soil organic matter. In: Carter, M.R. – Stewart, B.A. (eds). Structure and Organic Matter Storage in Agricultural Soils. Boca Raton: CRC Press, pp. 57–96. VADJUNINA, A.F. and KORCHAGINA, Z.A. (1986) Methods of Study of Soil Physical Properties. Moscow: Agropromizdat (in Russian). Van REEUWIJK, L. (1995) Procedures for soil analysis. Technical Paper no. 9 of International Soil Reference and Information Centre. WIEWIÓRA, A. and WEISS, Z. (1990) Crystallochemical classifications of phyllosilicates based on the unified system of projection of chemical composition: 11. The chlorite group. In Clay Minerals, vol. 25, pp. 83–92. WU, X. et al. (2016) Spatial variations of aggregate stability in relation to sesquioxides for zonal soils, South-central China. In Soil & Tillage Research, vol. 157, pp. 11–22. doi: http://dx.doi.org/10.1016/j.still.2015.11.005 ZAUJEC, A. et al. (2009) Pedology and introduction to geology. Nitra: SUA (in Slovak).

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Science ouverte, Intégrité de la recherche
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,188
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,002
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,004
Études des sciences et des technologies0,0010,004
Communication savante0,0000,001
Science ouverte0,0060,003
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,019
Tête enseignante GPT0,232
Écart entre enseignants0,212 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2018
Routes d'admission1
Résumé présentoui

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