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Sándor Koós
Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, H-1022 Budapest, Hungary

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Journal article
Published: 01 February 2021 in Magyar Tudomány
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ACS Style

Sándor Koós; Erzsébet Koósné Török. Stefanovits Pál születésének 100. évfordulójára • For the 100th Birth Anniversary of Pál Stefanovits. Magyar Tudomány 2021, 1 .

AMA Style

Sándor Koós, Erzsébet Koósné Török. Stefanovits Pál születésének 100. évfordulójára • For the 100th Birth Anniversary of Pál Stefanovits. Magyar Tudomány. 2021; ():1.

Chicago/Turabian Style

Sándor Koós; Erzsébet Koósné Török. 2021. "Stefanovits Pál születésének 100. évfordulójára • For the 100th Birth Anniversary of Pál Stefanovits." Magyar Tudomány , no. : 1.

Journal article
Published: 05 January 2021 in Sustainability
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The Nitrates Directive aims (a) to protect water quality across Europe from nitrates originating from agricultural sources that pollute ground and surface water, and (b) to promote good farming practices. One of the most controversial measures of the directive is the winter prohibition period of fertilization, which has been extended by a month in two steps in recent years. According to the regulation, it is forbidden to apply nitrogen fertilization in Hungary between 31st October and 15th February, even though the winter climate is gradually becoming milder. Using the fertilization data of nearly half a million parcels of land in the Hungarian Nitrate Database, a crop model-based spatial analysis was carried out. Our aim was to test if a shift in the prohibition period starting date from 31st October to 30th November caused any differences in the nitrate amount leached at a 90 cm depth. Detailed nitrate inputs and soil and weather databases were coupled with the 4M crop model. The yield, plant nitrogen uptake, and nitrate leaching under five major crops were simulated, covering a considerable portion of arable land. Shifting the prohibition period starting date did not result in significant changes in the nitrate leaching. Further runs of the 4M model with different weather scenarios are needed to decide whether the modification of the prohibition period significantly affects the amount of nitrate leached.

ACS Style

Sándor Koós; Béla Pirkó; Gábor Szatmári; Péter Csathó; Marianna Magyar; József Szabó; Nándor Fodor; László Pásztor; Annamária Laborczi; Klára Pokovai; Anita Szabó. Influence of the Shortening of the Winter Fertilization Prohibition Period in Hungary Assessed by Spatial Crop Simulation Analysis. Sustainability 2021, 13, 417 .

AMA Style

Sándor Koós, Béla Pirkó, Gábor Szatmári, Péter Csathó, Marianna Magyar, József Szabó, Nándor Fodor, László Pásztor, Annamária Laborczi, Klára Pokovai, Anita Szabó. Influence of the Shortening of the Winter Fertilization Prohibition Period in Hungary Assessed by Spatial Crop Simulation Analysis. Sustainability. 2021; 13 (1):417.

Chicago/Turabian Style

Sándor Koós; Béla Pirkó; Gábor Szatmári; Péter Csathó; Marianna Magyar; József Szabó; Nándor Fodor; László Pásztor; Annamária Laborczi; Klára Pokovai; Anita Szabó. 2021. "Influence of the Shortening of the Winter Fertilization Prohibition Period in Hungary Assessed by Spatial Crop Simulation Analysis." Sustainability 13, no. 1: 417.

Journal article
Published: 01 October 2019 in Geoderma
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Over the last decades extensive work has been done on sampling optimization. Many of the related papers focused on the optimization of sampling for only one soil property. However, there is a necessity to prepare a sampling strategy which is optimized for multivariate digital soil mapping (DSM) purposes. The aim of our work was to elaborate a sampling optimization methodology for multivariate DSM considering the demands on economic efficiency. We presented and tested it through a real-time survey at Tokaj Wine Region, Hungary. The soil properties of interest were pH, soil organic matter (SOM), and calcium carbonate (CaCO3) content. The end-users defined the minimal requested precision for the DSM products (in terms of the average range of the 90% prediction interval), and priority areas on which more detailed survey was requested. We planned a two-phase soil survey based on regression kriging (RK). The results from the first-phase sampling were used to parameterize the second-phase sampling in which spatial simulated annealing (SSA) was applied. The spatially averaged range of the 90% prediction interval was the pre-survey quality measure which can be readily derived from the RK variance. The workflow can be summarized as follows: (1) rank the soil properties considering their spatial variabilities, and precision requests, (2) optimize the sampling design by SSA for the dominant soil property, (3) optimize the sampling by the invers application of SSA for the next soil property using the optimized design from the previous step, and (4) repeat the previous step until all soil property are being selected. In our case, SOM was the dominant property. According to the plot of the sample size vs. quality measure, the optimized design with 500 samples will ensure the minimal requested precision for the SOM map (i.e. 0.5%). In the next step, the optimal removal of those sampling points was targeted which have less information content. In the cases of pH and CaCO3, 100 and 175 could be removed from the 500 samples, and the remaining 400 and 325 samples will ensure the requested precision for the pH (i.e. 1.2) and CaCO3 (i.e. 5%) maps. We computed the relative sampling density on priority and non-priority areas for each sampling designs which showed that densities on priority areas were at least 1.5 times higher than on non-priority areas. We could conclude that the methodology is able to optimize the sampling design for multivariate DSM purposes considering numerous sampling constraints such as the predefined precision, priority areas, and economic efficiency.

ACS Style

Gábor Szatmári; Péter László; Katalin Takács; József Szabó; Zsófia Bakacsi; Sándor Koós; László Pásztor. Optimization of second-phase sampling for multivariate soil mapping purposes: Case study from a wine region, Hungary. Geoderma 2019, 352, 373 -384.

AMA Style

Gábor Szatmári, Péter László, Katalin Takács, József Szabó, Zsófia Bakacsi, Sándor Koós, László Pásztor. Optimization of second-phase sampling for multivariate soil mapping purposes: Case study from a wine region, Hungary. Geoderma. 2019; 352 ():373-384.

Chicago/Turabian Style

Gábor Szatmári; Péter László; Katalin Takács; József Szabó; Zsófia Bakacsi; Sándor Koós; László Pásztor. 2019. "Optimization of second-phase sampling for multivariate soil mapping purposes: Case study from a wine region, Hungary." Geoderma 352, no. : 373-384.

Journal article
Published: 18 September 2019 in Soil and Tillage Research
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We compiled maps for the topsoil (0–30 cm) organic carbon (SOC) stock and its prediction uncertainty in Hungary at 100 m resolution for the years 1992 and 2010 using a machine learning algorithm, namely, quantile regression forest. 10-fold cross-validation was used for checking the accuracy of the spatial predictions and uncertainty quantifications for both years. The performance of the spatial predictions and uncertainty quantifications was appropriate, which was verified by the computed biases (0.15 and 0.30 for 1992 and 2010), root mean square errors (21.99 and 21.39 for 1992 and 2010), accuracy plots and the G statistics (0.96 for both years) as well. Based on the compiled SOC stock maps, we assessed the spatio-temporal change of SOC stocks on the territory of Hungary. A scheme was elaborated based on the quantified prediction uncertainties for identifying and delimiting significant and tendentious changes of SOC stock during the respective period. The total SOC stock in the topsoil was found to be 424.41 Tg (1 teragram = 1012 grams) in 1992 and 451.59 Tg in 2010. Thus SOC stock increased by 27.18 Tg over the respective period. On those areas where the land use types did not change, we observed that the SOC stock increased under forests (by 16.29 Tg) and pastures (by 2.48 Tg), decreased under wetlands (by 0.49 Tg) and did not change under agricultural areas. On those areas where the land use has been changed during the 18-year period, we found that afforestation has increased the SOC stock, whereas cultivation of pastures has decreased it. Due to soil sealing 34,000 ha of soil have been lost resulting in approximately 1.7 Tg carbon loss. We compared our own total SOC stock estimate and map referring to 1992 with other estimates and maps provided by global and continental initiatives. The comparisons have pointed out that the SOC stock map of 1992 outperformed these maps. We recommend applying the SOC stock map of 1992 as a baseline for Hungary.

ACS Style

Gábor Szatmári; Béla Pirkó; Sándor Koós; Annamária Laborczi; Zsófia Bakacsi; József Szabó; László Pásztor. Spatio-temporal assessment of topsoil organic carbon stock change in Hungary. Soil and Tillage Research 2019, 195, 104410 .

AMA Style

Gábor Szatmári, Béla Pirkó, Sándor Koós, Annamária Laborczi, Zsófia Bakacsi, József Szabó, László Pásztor. Spatio-temporal assessment of topsoil organic carbon stock change in Hungary. Soil and Tillage Research. 2019; 195 ():104410.

Chicago/Turabian Style

Gábor Szatmári; Béla Pirkó; Sándor Koós; Annamária Laborczi; Zsófia Bakacsi; József Szabó; László Pásztor. 2019. "Spatio-temporal assessment of topsoil organic carbon stock change in Hungary." Soil and Tillage Research 195, no. : 104410.

Journal article
Published: 01 June 2016 in Agrokémia és Talajtan
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Sándor Koós. 2015 a Talajok Nemzetközi Éve. Agrokémia és Talajtan 2016, 65, 177 -182.

AMA Style

Sándor Koós. 2015 a Talajok Nemzetközi Éve. Agrokémia és Talajtan. 2016; 65 (1):177-182.

Chicago/Turabian Style

Sándor Koós. 2016. "2015 a Talajok Nemzetközi Éve." Agrokémia és Talajtan 65, no. 1: 177-182.

Journal article
Published: 01 June 2016 in Agrokémia és Talajtan
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Zsófia Bakacsi; Sándor Koós; András Nagymarosy; Péter László. Riolittufa mállásának hatása a talajok vízvezető képességére. Agrokémia és Talajtan 2016, 65, 5 -15.

AMA Style

Zsófia Bakacsi, Sándor Koós, András Nagymarosy, Péter László. Riolittufa mállásának hatása a talajok vízvezető képességére. Agrokémia és Talajtan. 2016; 65 (1):5-15.

Chicago/Turabian Style

Zsófia Bakacsi; Sándor Koós; András Nagymarosy; Péter László. 2016. "Riolittufa mállásának hatása a talajok vízvezető képességére." Agrokémia és Talajtan 65, no. 1: 5-15.

Journal article
Published: 01 June 2007 in Cereal Research Communications
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Sándor Koós; Németh Tamás. Relation between carbon-dioxide fluxes and nitrogen content of soil in a long-term fertilization experiment. Cereal Research Communications 2007, 35, 641 -644.

AMA Style

Sándor Koós, Németh Tamás. Relation between carbon-dioxide fluxes and nitrogen content of soil in a long-term fertilization experiment. Cereal Research Communications. 2007; 35 (2):641-644.

Chicago/Turabian Style

Sándor Koós; Németh Tamás. 2007. "Relation between carbon-dioxide fluxes and nitrogen content of soil in a long-term fertilization experiment." Cereal Research Communications 35, no. 2: 641-644.