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Bojar, W., Żarski, J., Knopik, L., Kuśmierek-Tomaszewska, R., Sikora, M., & Dzieża, G. (2016). Markov Chain as a Model of Daily Total Precipitation and a Prediction of Future Natural Events.. Berlin (Germany).
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Bojar, W., & Zarski, J. (2014). “Methods of management with processes and resources in organizations and the economy”, “Application of water saving irrigation and fertigation systems in plants cultivation”. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: The first research project concerns methods of management with processes and resources in organizations and the economy. In order to address socio-economic problems, methods for evaluating the way in which natural resources are globally utilised in the face of the adverse effects of climate change must be developed. Previous findings of the project MACSUR allow to formulate the hypothesis that the method developed in UTP integrated with models of MACSUR partners is useful to assess the impact of climate change on food security in the context of growing economic risks in agricultural production. Verified hypothesis allows us to expect a common understanding on the assessment of the impact of climate change on food security in the light of the growing threat of food production.The second research project is to assess the feasibility and effectiveness of the system of drip irrigation in the cultivation of selected crops in the area of particularly large water shortages. Field studies are carried out in parallel on two soil types in the Research Centre of the University of Technology and Life Sciences near Bydgoszcz. The results confirm the possibility of a significant increase in productivity of irrigated plants on very light and light soils. The most important result of the synergistic relationship of this project to MACSUR project can be economic evaluation of the cost-effectiveness of surveyed plants under conditions of increasing drought probability. The results will be presented to stakeholders – agricultural producers, which will confront their usefulness in the management of farms.This work was co-financed by NCBiR, Contract no. FACCE JPI/04/2012 – P100 PARTNER
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Bojar, W., Knopik, L., & Żarski, J. (2014). Integrated assessment of business crop productivity and profitability for use in food supply forecasting. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: Climate change suggests long periods without rainfall will occur in the future quite often. Previous approach on dependence crop-yields from size of rain confirms the existence of a statistically significant relation. We built a model describing the amount of precipitation and taking into account periods of drought, using a mixture of gamma distribution and one point-distribution. Parameter estimators were constructed from rainfall data using the method of maximum likelihood. Long series of days or decades of drought allow to determine the probabilities of adverse developments in agriculture as the basis for forecasting crop yields in the future (years 2030, 2050). Forecasted yields can be used for assessment of productivity and profitability of some selected crops in Kujavian-Pomeranian region. Assumptions and parameters of large-scale spatial economic models will be applied to build up relevant solutions. Calculated with this approach output could be useful to expect decrease in agricultural output in the region. It will enable to shape effective agricultural policy to know how to balance food supply and demand through appropriate managing with stored food raw material and/or import/export policies. Used precipitation-yields dependencies method let verify earlier used methodology through comparison of obtained solutions concerning forecasted yields and closed to it uncertainty analysis.This work was co-financed by NCBiR, Contract no. FACCE JPI/04/2012 – P100 PARTNER
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Hamidov, A., Helming, K., Bellocchi, G., Bojar, W., Dalgaard, T., Ghaley, B. B., et al. (2018). Impacts of climate change adaptation options on soil functions: A review of European case-studies. Land Degradation & Development, 29(8), 2378–2389.
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.
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