| Records |
| Author |
Mirschel, W.; Barkusky, D.; Hufnagel, J.; Kersebaum, K.C.; Nendel, C.; Laacke, L.; Luzi, K.; Rosner, G. |
| Title |
Coherent multi-variable field data set of an intensive cropping system for agro-ecosystem modelling from Müncheberg, Germany |
Type |
Journal Article |
| Year |
2016 |
Publication |
Open Data Journal for Agricultural Research |
Abbreviated Journal |
Open Data J. Agric. Res. |
| Volume |
2 |
Issue |
1 |
Pages |
1-10 |
| Keywords |
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| Abstract |
A six-year (1993-1998) multivariable data set for a four-plot intensive crop rotation (sugar beet – winter wheat – winter barley – winter rye – catch crop) located at Leibniz Centre for Agricultural Landscape Research (ZALF) Experimental Station, Müncheberg, Germany, is documented in detail. The experiment targets crop response to water supply on sandy soils (Eutric Cambisol), applying rain-fed and irrigated treatments. Weather as well as soil and crop processes were intensively monitored and management actions were consistently recorded. The data set contains coherent data for soil (water, nitrogen contents), crop (ontogenesis, plant, tiller and ear numbers, above-ground and root biomasses, yield, carbon and nitrogen content in biomass and their fractions, sugar content in beet), weather (all standard meteorological variables) and management (soil tillage, sowing, fertilisation, irrigation, harvest). In addition, observation methods are briefly described. The data set is available via the Open Research Data Portal at ZALF Müncheberg and is published under doi:10.4228/ZALF.1992.271. The data set was used for model intercomparison within the crop modelling part (CropM) of the international FACCE MACSUR project. |
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2352-6378 |
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Article |
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| Notes |
CropM, ft_macsur |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4762 |
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| Author |
Hidy, D.; Balogh, J.; Churkina, G.; Haszpra, L.; Horváth, F.; Ittzés, P.; Ittzés, D.; Ma, S.; Nagy, Z.; Pintér, K.; Barcza, Z. |
| Title |
Structural development and web service based sensitivity analysis of the Biome-BGC MuSo model |
Type |
Conference Article |
| Year |
2014 |
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LiveM |
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European GeoSciences Union (EGU), General Assembly 2014, 2014-04-28 to 2014-05-02 |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2475 |
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| Author |
Dono, G.; Cortignani, R.; Dell’Unto, D.; Deligios, P.; Doro, L.; Lacetera, N.; Mula, L.; Pasqui, M.; Quaresima, S.; Vitali, A.; Roggero, P.P. |
| Title |
Winners and losers from climate change in agriculture: Insights from a case study in the Mediterranean basin |
Type |
Journal Article |
| Year |
2016 |
Publication |
Agricultural Systems |
Abbreviated Journal |
Agricultural Systems |
| Volume |
147 |
Issue |
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Pages |
65-75 |
| Keywords |
Adaptation of farms to CC; Mediterranean region; Discrete Stochastic Programming; Regional Atmospheric Modelling System; Crop models; Livestock models |
| Abstract |
The Mediterranean region has always shown a marked inter-annual variability in seasonal weather, creating uncertainty in decisional processes of cultivation and livestock breeding that should not be neglected when modeling farmers’ adaptive responses. This is especially relevant when assessing the impact of climate change (CC), which modifies the atmospheric variability and generates new uncertainty conditions, and the possibility of adaptation of agriculture. Our analysis examines this aspect reconstructing the effects of inter-annual climate variability in a diversified farming district that well represents a wide range of rainfed and irrigated agricultural systems in the Mediterranean area. We used a Regional Atmospheric Modelling System and a weather generator to generate 150 stochastic years of the present and near future climate. Then, we implemented calibrated crop and livestock models to estimate the corresponding productive responses in the form of probability distribution functions (PDFs) under the two climatic conditions. We assumed these PDFs able to represent the expectations of farmers in a discrete stochastic programming (DSP) model that reproduced their economic behaviour under uncertainty conditions. The comparison of the results in the two scenarios provided an assessment of the impact of CC, also taking into account the possibility of adjustment allowed by present technologies and price regimes. The DSP model is built in blocks that represent the farm typologies operating in the study area, each one with its own resource endowment, decisional constraints and economic response. Under this latter aspect, major differences emerged among farm typologies and sub-zones of the study area. A crucial element of differentiation was water availability, since only irrigated C3 crops took full advantage from the fertilization effect of increasing atmospheric CO2 concentration. Rainfed crop production was depressed by the expected reduction of spring rainfall associated to the higher temperatures. So, a dualism emerges between the smaller impact on crop production in the irrigated plain sub-zone, equipped with collective water networks and abundant irrigation resources, and the major negative impact in the hilly area, where these facilities and resources are absent. However intensive dairy farming was also negatively affected in terms of milk production and quality, and cattle mortality because of the increasing summer temperatures. This provides explicit guidance for addressing strategic adaptation policies and for framing farmers’ perception of CC, in order to help them to develop an awareness of the phenomena that are already in progress, which is a prerequisite for effective adaptation responses. |
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0308521x |
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| Notes |
CropM, LiveM, TradeM, ft_macsur |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4756 |
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| Author |
Herbst, M.; Welp, G.; Klosterhalfen, A.; Amelung, W.; Hädicke, A.; Vereecken, H. |
| Title |
Linking soil organic carbon pools with measured fractions |
Type |
Conference Article |
| Year |
2014 |
Publication |
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Pages |
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CropM |
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Soil carbon modeling in agricultural and forest ecosystems, Tsukuba, Japan., 2013-11-11 to 2014-11-14 |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2473 |
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Havlík, P.E.S., S. Fuss, D. Leclere, M. Obersteiner, A. Mosnier, H. Valin, N. Khabarov |
| Title |
Linking bio-physical, bottom-up and top-do wn economic models to analyze climate change impacts and adaptation on Austrian agriculture |
Type |
Conference Article |
| Year |
2013 |
Publication |
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TradeM |
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MACSUR TradeM workshop: Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security, The Natural Resource and Environmental Research Center (NRERC), University of Haifa, Israel, 2013-03-03 t |
| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2468 |
| Permanent link to this record |
