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Lehtonen, H. S. (2013). Northern Europe case: Scenarios for northern Europe and first outcomes of adaptation analysis..
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Kuzniar, A., Kowalczyk, A., & Kostuch, M. (2013). Analysis of criteria for determination of less favored areas in the mountains..
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Lamorski, K., Pastuszka, T., Krzyszczak, J., Slawinski, C., & Witkowska-Walczak, B. (2013). Modelling soil water Dynamics Using the physical and soft-computing methods..
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Lamorski, K. (2013). Application of X-ray computational microtomography and modeling for estimation of the saturated water conductivity of the porous media..
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Del Prado, A., Crosson, P., Olesen, J. E., & Rotz, C. A. (2013). Whole-farm models to quantify greenhouse gas emissions and their potential use for linking climate change mitigation and adaptation in temperate grassland ruminant-based farming systems. Animal, 7 Suppl 2, 373–385.
Abstract: The farm level is the most appropriate scale for evaluating options for mitigating greenhouse gas (GHG) emissions, because the farm represents the unit at which management decisions in livestock production are made. To date, a number of whole farm modelling approaches have been developed to quantify GHG emissions and explore climate change mitigation strategies for livestock systems. This paper analyses the limitations and strengths of the different existing approaches for modelling GHG mitigation by considering basic model structures, approaches for simulating GHG emissions from various farm components and the sensitivity of GHG outputs and mitigation measures to different approaches. Potential challenges for linking existing models with the simulation of impacts and adaptation measures under climate change are explored along with a brief discussion of the effects on other ecosystem services.
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