| Records |
| Author |
Rötter, R.P.; Höhn, J. |
Title  |
An overview of climate change impacts on crop production and its variability in Europe, related uncertainties and research challenges |
Type |
Book Chapter |
| Year |
2014 |
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Pages |
106-145 |
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CropM |
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Chapter 4 in: Proceedings, FAO Expert consultation on Climate Change and Food Systems: Global implications for food security, water and trade, 5-6 Nov. 2013 |
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MA @ admin @ |
Serial |
2761 |
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| Author |
Bojar, W.; Knopik, L.; Zarski, J. |
| Title |
Analiza wplywu warunków klimatycznych na plonowanie roslin uprawnych w regionie kujawsko-pomorskim (Analysis of impact of climate conditions on yielding of crops in Kujavian & Pomeranian region) |
Type |
Report |
| Year |
2013 |
Publication |
Studies & Proceedings of Polish Association for Knowledge Management |
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| Volume |
64 |
Issue |
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Pages |
31-44 |
| Keywords |
CropM |
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MA @ admin @ |
Serial |
2070 |
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| Author |
Kersebaum, K.C. |
| Title |
Analysing climate change impact on agriculture (in German) |
Type |
Conference Article |
| Year |
2012 |
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CropM |
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Education seminar for water regulatory authorities of Hesse/Germany “Experiences for Water Framework Directive”, Rauischholzhausen/Germany, 2012-11-27 to 2012-11-27 |
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no |
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MA @ admin @ |
Serial |
2518 |
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Kersebaum, K.C.; Boote, K.J.; Jorgenson, J.S.; Nendel, C.; Bindi, M.; Frühauf, C.; Gaiser, T.; Hoogenboom, G.; Kollas, C.; Olesen, J.E.; Rötter, R.P.; Ruget, F.; Thorburn, P.J.; Trnka, M.; Wegehenkel, M. |
| Title |
Analysis and classification of data sets for calibration and validation of agro-ecosystem models |
Type |
Journal Article |
| Year |
2015 |
Publication |
Environmental Modelling & Software |
Abbreviated Journal |
Env. Model. Softw. |
| Volume |
72 |
Issue |
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Pages |
402-417 |
| Keywords |
field experiments; data quality; crop modelling; data requirement; minimum data; software; different climatic zones; soil-moisture sensors; spatial variability; nitrogen dynamics; crop models; systems simulation; wheat yields; elevated co2; growth; field |
| Abstract |
Experimental field data are used at different levels of complexity to calibrate, validate and improve agroecosystem models to enhance their reliability for regional impact assessment. A methodological framework and software are presented to evaluate and classify data sets into four classes regarding their suitability for different modelling purposes. Weighting of inputs and variables for testing was set from the aspect of crop modelling. The software allows users to adjust weights according to their specific requirements. Background information is given for the variables with respect to their relevance for modelling and possible uncertainties. Examples are given for data sets of the different classes. The framework helps to assemble high quality data bases, to select data from data bases according to modellers requirements and gives guidelines to experimentalists for experimental design and decide on the most effective measurements to improve the usefulness of their data for modelling, statistical analysis and data assimilation. (C) 2015 Elsevier Ltd. All rights reserved. |
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English |
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1364-8152 |
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| Notes |
CropM, ft_macsur |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4563 |
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| Author |
Kopacz, M.; Twardy, S. |
| Title |
Analysis of changes of permanent grasslands in the Carpathians based on the example of upper Dunajec and Raba river catchments |
Type |
Report |
| Year |
2013 |
Publication |
Water-Environment-Rural Areas |
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| Volume |
133 |
Issue |
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Pages |
91-133 |
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CropM |
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ITP Falenty |
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no |
| Call Number |
MA @ admin @ |
Serial |
2072 |
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