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Author Bojar, W.; Żarski, J.; Knopik, L.; Kuśmierek-Tomaszewska, R.; Sikora, M.; Dzieża, G.
Title Markov Chain as a Model of Daily Total Precipitation and a Prediction of Future Natural Events Type Conference Article
Year 2016 Publication Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Berlin (Germany) Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (down)
Area Expedition Conference International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany
Notes Approved no
Call Number MA @ admin @ Serial 4911
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Author Hamidov, A.; Helming, K.; Bellocchi, G.; Bojar, W.; Dalgaard, T.; Ghaley, B.B.; Hoffmann, C.; Holman, I.; Holzkämper, A.; Krzeminska, D.; Kværnø, S.H.; Lehtonen, H.; Niedrist, G.; Øygarden, L.; Reidsma, P.; Roggero, P.P.; Rusu, T.; Santos, C.; Seddaiu, G.; Skarbøvik, E.; Ventrella, D.; Żarski, J.; Schönhart, M.
Title Impacts of climate change adaptation options on soil functions: A review of European case-studies Type Journal Article
Year 2018 Publication Land Degradation & Development Abbreviated Journal Land Degradation & Development
Volume 29 Issue 8 Pages 2378-2389
Keywords agricultural adaptation; DPSIR; regional case-studies; soil degradation; Sustainable Development Goals; Agricultural Practices; Ecosystem Services; Land Management; Netherlands; Farm; Environment; Challenges; Catchments; Framework; Nitrogen
Abstract Soils are vital for supporting food security and other ecosystem services. Climate change can affect soil functions both directly and indirectly. Direct effects include temperature, precipitation, and moisture regime changes. Indirect effects include those that are induced by adaptations such as irrigation, crop rotation changes, and tillage practices. Although extensive knowledge is available on the direct effects, an understanding of the indirect effects of agricultural adaptation options is less complete. A review of 20 agricultural adaptation case-studies across Europe was conducted to assess implications to soil threats and soil functions and the link to the Sustainable Development Goals (SDGs). The major findings are as follows: (a) adaptation options reflect local conditions; (b) reduced soil erosion threats and increased soil organic carbon are expected, although compaction may increase in some areas; (c) most adaptation options are anticipated to improve the soil functions of food and biomass production, soil organic carbon storage, and storing, filtering, transforming, and recycling capacities, whereas possible implications for soil biodiversity are largely unknown; and (d) the linkage between soil functions and the SDGs implies improvements to SDG 2 (achieving food security and promoting sustainable agriculture) and SDG 13 (taking action on climate change), whereas the relationship to SDG 15 (using terrestrial ecosystems sustainably) is largely unknown. The conclusion is drawn that agricultural adaptation options, even when focused on increasing yields, have the potential to outweigh the negative direct effects of climate change on soil degradation in many European regions.
Address 2018-10-16
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1085-3278 ISBN Medium (down)
Area Expedition Conference
Notes XC, TradeM, ft_macsur Approved no
Call Number MA @ admin @ Serial 5210
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Author Knopik, L.; Bojar, W.
Title Mozliwosci zastosowania metody wielo – agentowej w analizie wybranych modeli (Possibilities of multiagent appliacation for analysis of selected models) Type Book Chapter
Year 2013 Publication Abbreviated Journal
Volume Issue Pages 199-208
Keywords TradeM
Abstract
Address
Corporate Author Thesis
Publisher Warsaw Technical University Place of Publication Warsaw Editor Rostek, K.
Language Summary Language Original Title
Series Editor Series Title Zarzadzanie wiedza w tworzeniu przewagi konkurencyjnej (Knowledge management in creating comparative advantage) Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (down)
Area Expedition Conference
Notes Approved no
Call Number MA @ admin @ Serial 2547
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Author Bojar, W.; Żarski, J.; Knopik, L.; Kuśmierek-Tomaszewska, R.; Sikora, M.; Dzieża, G.
Title Markov chain as a model of daily total precipitation and a prediction of future natural events Type Conference Article
Year 2015 Publication Abbreviated Journal
Volume Issue Pages
Keywords ft_macsur; MACSUR or FACCE acknowledged.
Abstract The size of arable crop yields depends on many weather factors, such as precipitation and air temperature during the vegetation period. When studying the relation between yields and precipitation, not only the total amount of precipitation, but also the occurrence of long periods without precipitation must be taken into account. The paper [Bojar et al., 2014] demonstrated that barley yield significantly statistically depends on the length of the series of days without precipitation. This paper attempts to analyse the statistical data on daily precipitation totals recorded during the January – December periods in the years 1971 – 2013 at the weather station of the University of Science and Technology in Bydgoszcz, Faculty of Agriculture and Biotechnology, in the Research Centre located in an agricultural area in the Mochle township, situated 17 kilometres from Bydgoszcz. The primary statistical operation in the study is an attempt to estimate the Markov chain order. To this end, two criteria of chain order determination are applied: BIC (Bayesian information criterion, Schwarz 1978) and AIC (Akaike information criterion, Akaike 1974). Both are based on the log-likelihood functions for transition probability of the Markov chain constructed on certain data series. Statistical analysis of precipitation totals data leads to the conclusion that both AIC and BIC indicate the 2nd order for the studied Markov chain. The proposed method of estimating the variability of precipitation occurrence in the future will be utilised to improve region-related bio-physical and economical models, and to assess the risk of extreme events in the context of growing climate hazards. It will serve as basis for a search in agriculture for solutions mitigating those hazards.
Address
Corporate Author Thesis
Publisher Place of Publication Braunschweig (Germany) Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (down)
Area Expedition Conference FACCE MACSUR Joint Workshops October 2015, 2015-10-27 to 2015-10-30, Braunschweig
Notes Approved no
Call Number MA @ admin @ Serial 4236
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Author Bojar, W.
Title WP1 TASKS Existing, tools, data, models – tasks of WP1 package” – Type Conference Article
Year 2012 Publication Abbreviated Journal
Volume Issue Pages
Keywords TradeM
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (down)
Area Expedition Conference Kickoff Meeting and Workshop: Modelling, European Agriculture with Climate Change for Food Security, 2012-10-15 to 2012-10-16
Notes Approved no
Call Number MA @ admin @ Serial 2328
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