Notice bibliographique
Résumé
Received: 2016-06-13 | Accepted: 2016-12-13 | Available online: 2017-12-31 http://dx.doi.org/10.15414/afz.2017.20.04.72-77 The study focuses on looking for answers to the following questions: 1. Is biochar application a suitable solution for reducing CO 2 emissions? 2. What application rate significantly reduces CO 2 production to the atmosphere? 3. Does have the application of enriched biochar a justification in relation to reducing CO 2 production? The experiment was established on Haplic Luvisol at the experimental site of SUA in Nitra (Dolná Malanta), where we measured CO 2 emissions from the soil to the atmosphere under the following treatments: different rates (0, 10, 20 t ha -1 ) of pure biochar (B0, B10 a B20) and enriched biochar (EB10, EB20) combined with different levels of mineral nitrogen at doses of 0, 40 and 80 kg ha -1 (N0, N40, N80). Overall, the average values of CO 2 emissions were lower by 19.8 %, 13.3 %, 12.9 %, 9.4 % and 8.7 % in B10N0, B20N40, B20N0, B20N80 and B10N40 treatments as compared to B0N0 (control) during the studied period. On the other hand, the average values of CO 2 were higher by 20% in B10N80 treatments as compared to control (B0N0). Application of enriched biochar whether individually (EB10N0, EB20N0) or with additional N (EB10N40, EB20N40, EB10N80, EB20N80) increased average CO 2 by 29.7 %, 34.6 %, 36.0 %, 44.9 %, 45.8 % and 53.6 % as compared to control (B0N0). The cumulative CO 2 emissions for the whole studied period (2014) were in the following order from the lowest one B10N0 < B20N0 < B20N40 < B20N80 < B10N40 < B0N0 (control) < B10N80 < EB20N40 < EB20N80 < EB10N80 < EB20N0 < EB10N0 < EB10N40. Keywords: biochar, enriched biochar, N-fertilization, CO 2 emission References ALVAREZ, R. et al. (1995) Soil respiration and carbon inputs from crops in a wheat-soybean rotation under different tillage systems. In Soil Use Mamagment, Vol. 11, pp. 45â50 doi: http://dx.doi.org/10.1111/j.1475-2743.1995.tb00495.x BIELEK, P. 2001. Carbon sequestration by soil effets. In Humic substances in ecosystems 4 . Bratislava : VÃPOP, 2001, pp. 11â14. Duiker , S.W. and Lal, R. (1999) Crop residue and tillage effects on carbon sequestration in a Luvisol in central Ohio. In Soil Tillage Res., vol. 52, pp. 73â81. doi: http://dx.doi.org/ 10.1016/S0167-1987(99)00059-8 Dukes , J.S. and Hungate, B.A. (2002) Elevated carbon dioxide and litter decomposition in California annual grasslands: which mechanisms matter? In Ecosystems , vol. 5, pp. 171â183. doi: http://dx.doi.org/10.1007/s10021-001-0063-7 Fischer, D. and Glaser, B. (2012) Synergisms between Compost and Biochar for Sustainable Soil Amelioration. In Kumar, S. (ed.) Management of Organic Waste . Earthscan, Rijeka, pp. 167â198. GREGORICH, E.G. et al. (1998) Carbon distribution and losses: erosion and deposition effects. In Soil and Tillage Research , vol. 47, pp. 291â302. doi: http://dx.doi.org/ 10.1016/S0167-1987(98)00117-2 HAN, F. et al. (2016) Effect of biochar on the soil nutrients about different grasslands in the Loess Plateau. In Catena , vol. 137, pp. 554â562. doi: http://dx.doi.org/ 10.1016/j.catena.2015.11.002 Heitkötter, J. and Marschner, B. (2015) Interactive effects of biochar ageing in soils related to feedstock, pyrolysis temperature, and historic charcoal production. In Geoderma , vol. 245â246, pp. 56â64. doi: http://dx.doi.org/ 10.1016/j.geoderma.2015.01.012 IPCC, (2014): Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151 pp. Jacinthe , P.A. et al. (2002) Carbon budget and seasonal carbon dioxide emission from a central Ohio Luvisol as influenced by wheat residue amendment. In Soil Tillage Res., vol. 67, pp. 147â157. doi: http://dx.doi.org/ 10.1016/S0167-1987(02)00058-2 Jeffery, S. et al. (2011) A quantitative review of the effects of biochar application to soils on crop productivity using meta-analysis. In Agric. Ecosyst. Environ ., vol. 144, pp. 175â187. doi: http://dx.doi.org/ 10.1016/j.agee.2011.08.015 Jien, S.H. and Wang, Ch.S. (2013) Effects of biochar on soil properties and erosion potential in a highly weathered soil. In Catena, vol. 110, pp. 225â233. doi: http://dx.doi.org/10.1016/j.catena.2013.06.021 JUMA, N.G. (1994) A conceptual framework to link carbon and nitrogen cycling to soil structure formation. In Agric. Ecosyst. Environ. , vol 51, pp. 257â267. JUMA, N.G. (1999) Pedosphere and its dynamics . 1 vyd. Edmonton (Canada) : Salman Productions Ins., 1999. 335 s. ISBN 1-896263-10-0. Kammann, C. et al. (2011) Influence of biochar on drought tolerance of Chenopodium quinoa: Willd and on soilâplant relations. In Plant Soil , vol. 345, pp. 195â210. doi: http://dx.doi.org/ 10.1016/j.catena.2013.06.021 Lal, R. (2008) Carbon sequestration. In Philos. Trans. R. Soc ., vol. 363, pp. 815â830. doi: http://dx.doi.org/ 10.1098/rstb.2007.2185 Laird, D.A. et al. (2010) Impact of biochar amendments on the quality of a typical Midwestern agricultural soil. In Geoderma , vol. 158, pp. 443â449. doi: http://dx.doi.org/ 10.1016/j.geoderma.2010.05.012 Lopez-Capel, E. et al. (2016) Biochar properties, In: Shackley, S. et al. (eds.): Biochar in European soils and agriculture, Routledge, London, New Your, pp. 41â72. MONREAL, C.M. et al.  (1995) Soil organic structures in macro and microaggregates of a cultivated brown chernozem. In Soil Biol. Biochem ., vol. 27, pp. 845â853. doi: http://dx.doi.org/ 10.1016/0038-0717(94)00220-U PASCUAL, J.A. et al. (1998) Carbon Mineralization in an Arid Soil Amended with Organic Wastes of Varying Degerees of Stability. In Commun. Soil. Sci. Plant Anal. , vol. 29, pp. 835â846. doi: http://dx.doi.org/ 10.1080/00103629809369989 POPELÃROVÃ, E. et al. (2002) Mineralization activity in soils for the development of the precision farming system. In Arch. Acker Pfl. Boden , vol. 48, pp. 147â153. REICOSKY, D.C. and LINDSTROM, M.J. (1995) Impact of fall tillage on short-term carbon dioxide flux. In Soil and global change , pp. 177â187. Å IMANSKÃ, V. (2016) Effects of biochar and biochar with nitrogen on soil organic matter and soil structure in Haplic Luvisol. In Acta fytotechnica et zootechnica , vol. 19, pp. 129â138. doi: http://dx.doi.org/10.15414/afz.2016.19.04.129-138 Å IMANSKÃ, V. et al. (2017) Carbon sequestration in water-stable aggregates under biochar and biochar with nitrogen fertilization. In Bulgrian Journal of Agricultural Research, vol. 23 (2) â in print SINGH, B.P. and COWIE, A.L. 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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 | 0,007 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,007 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,004 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».