Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

[] / C. -H. Cheng [et al.] // Org. Geochem. - 2014. - Vol. 70. - P53-61, DOI 10.1016/j.orggeochem.2014.02.013 . - ISSN 0146-6380
Аннотация: Amending soil with black carbon (BC) can change the sorption properties of the soil. However, there is some concern based on studies that deal with newly produced BC and barely consider the possible changes in sorption properties for BC after being amended in soil. This study uses newly produced BC and historical BC samples, along with soils containing high levels of historical BC and adjacent soils without visible BC, to compare their diuron, atrazine and Cu2+ sorption properties. Compared with newly produced BC, historical BC exhibited reduced (56-91%) sorption capacity for diuron and atrazine but 2-5 times enhanced sorption capacity of Cu2+. These changes in sorption properties can be interpreted via the formation of surface functional groups in BC. Whereas the sorption capacity for diuron and atrazine was reduced with historical BC, the sorption capacity of BC-containing soils was higher than for the adjacent soils, indicating that BC possessed stronger sorption capacity than non-BC material. A biological assay revealed reduced herbicide efficiency for the newly produced BC, and even the historical BC still exerted an influence on reducing herbicide efficiency. Along with its recalcitrance in environments, BC has a significant long term effect on the toxicity of contaminants and soil fertility. © 2014 Elsevier Ltd.

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Держатели документа:
School of Forestry and Resource Conservation, National Taiwan University, Taipei 106, Taiwan
Department of Crop and Soil Sciences, Cornell University, Ithaca, NY 14850, United States
National Synchrotron Radiation Research Center, Hsinchu 300, Taiwan
Institute of Forest SB RAS, Krasnoyarsk 660036, Russian Federation
Taiwan Agricultural Research Institute, Taichung 413, Taiwan

Доп.точки доступа:
Cheng, C.-H.; Lin, T.-P.; Lehmann, J.; Fang, L.-J.; Yang, Y.-W.; Menyailo, O.V.; Chang, K.-H.; Lai, J.-S.

/ C. -P. Chen [et al.] // Geoderma. - 2014. - Vol. 232-234. - P581-588, DOI 10.1016/j.geoderma.2014.06.021 . - ISSN 0016-7061
Аннотация: Leguminous green manure is an important source of nitrogen (N) and carbon (C) in cropping systems. The fast turnover of leguminous green manure enables it to release N quickly, but limits its effectiveness in maintaining soil organic C content. Converting leguminous green manure into biochar facilitates its use as a soil amendment. In this study, we assessed how the conversion of leguminous green manure (Sesbania roxburghii) into biochar altered its chemical composition and subsequent C and N mineralization. Biomass was charred along a temperature gradient from 200 to 500. °C. Using nuclear magnetic resonance and near-edge X-ray adsorption fine structure spectroscopy, we found that both C and N became enriched in aromatic and heterocyclic aromatic structures in biochar, and this structural change led to a reduction in C and N mineralization rates. The mineralized C decreased from 32.7% of the added C of raw biomass to <. 0.5% of that of biochar at charring temperatures above 400. °C. N release shifted from N mineralization in raw biomass to N immobilization at charring temperatures at 500. °C. As such, soil amended with biochar produced at charring temperatures exceeding 400. °C demonstrated a 25% decrease in dry shoot biomass compared with unamended soil. The results indicated that the C stability of leguminous green manure can be achieved by converting raw material into biochar, but that the charring process may limit it to providing N. © 2014 Elsevier B.V.

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Держатели документа:
School of Forestry and Resource Conservation, National Taiwan University, Taipei 106, Taiwan
Department of Agronomy, National Chung Hsing University, Taichung 500, Taiwan
Department of Agricultural Chemistry, National Taiwan University, Taipei 106, Taiwan
Institute of Forest SB RAS, Krasnoyarsk 660036, Russian Federation
National Synchrotron Radiation Research Center, Hsinchu 300, Taiwan

Доп.точки доступа:
Chen, C.-P.; Cheng, C.-H.; Huang, Y.-H.; Chen, C.-T.; Lai, C.-M.; Menyailo, O.V.; Fan, L.-J.; Yang, Y.-W.

/ E. V. Fedotova, Yu. A. Maglinets, R. V. Brezhnev, A. G. Vyrvinskiy // Sovrem. Probl. Distancionnogo Zondirovania Zemli kosm. - 2020. - Vol. 17, Is. 4. - С. 195-203, DOI 10.21046/2070-7401-2020-17-4-195-203 . - ISSN 2070-7401
Аннотация: Evaluation of vegetation bio-productivity, yield prediction, is effectively carried out using simulation models of plant growth. To calculate the value of the aboveground biomass in these models, the leaf area index (LAI) is used. In the agromonitoring service of the Institute of Space and Information Technologies, a productivity forecasting component is being developed using available field map systems showing crops and remote sensing data in the public domain. In this paper, we propose an approach to solving the problem of obtaining the LAI time series during the growing season for agricultural objects. Landsat-8 OLI and Sentinel-2 medium resolution data are used. These data have time resolution restrictions. The use of daily MODIS data is not possible due to their low spatial resolution, taking into account the typical size of agricultural fields of Krasnoyarsk region central part. Algorithms for data fusion with low and medium spatial resolutions are considered to obtain NDVI with the necessary frequency in the absence of medium-resolution data. The construction of the NDVI using data from different systems for LAI estimation required the introduction of additive coefficients for time series alignment using the VEGA Pro service as the base values. The model of calculating LAI from NDVI in linear exponential form is used. The developed approach allows the LAI assessment with the frequency necessary for the work of the predictive model for yield estimating. © 2020 Space Research Institute of the Russian Academy of Sciences. All rights reserved.

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Держатели документа:
Siberian Federal University, Krasnoyarsk, 660074, Russian Federation
Sukachev Institute of Forest SB RAS, Krasnoyarsk Scientific Center SB RAS, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Fedotova, E. V.; Maglinets, Yu. A.; Brezhnev, R. V.; Vyrvinskiy, A. G.