Records |
Author |
Porter, J.R.; Soussana, J.-F.; Fereres, E.; Long, S.; Mohren, F.; Peltonen-Sainio, P.; von Braun, J. |
Title |
European Perspectives: An Agronomic Science Plan for Food Security in a Changing Climate |
Type |
Book Chapter |
Year |
2012 |
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Keywords |
CropM |
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Co-Published With Imperial College Press |
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Editor |
Hillel, D.; Rosenzweig, C. |
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Series Title |
Handbook of Climate Change and Agroecosystems: Global and Regional Aspects and Implications |
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Series Volume |
ICP Series on Climate Change Impacts, Adaptation, |
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no |
Call Number |
MA @ admin @ |
Serial |
2732 |
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Author |
Pirttioja, N.; Fronzek, S.; Rötter, R.P.; Carter, T.R. |
Title |
Simulating Adaptive Management Using Impact Models in a Risk Framework |
Type |
Conference Article |
Year |
2012 |
Publication |
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Keywords |
CropM |
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Conference |
Adaptation Futures. Tucson, AZ, USA, 2012-05-29 to 2012-05-31 |
Notes |
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Approved |
no |
Call Number |
MA @ admin @ |
Serial |
2725 |
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Author |
Crout, N.M.J.; Craigon, J.; Cox, G.M.; Jao, Y.; Tarsitano, D.; Wood, A.T.A.; Semenov, M. |
Title |
An objective approach to model reduction: Application to the Sirius wheat model |
Type |
Journal Article |
Year |
2014 |
Publication |
Agricultural and Forest Meteorology |
Abbreviated Journal |
Agricultural and Forest Meteorology |
Volume |
189-190 |
Issue |
100 |
Pages |
211-219 |
Keywords |
Complexity; Crop model; Evaluation; Model reduction; Parsimony; Wheat |
Abstract |
An existing simulation model of wheat growth and development, Sirius, was evaluated through a systematic model reduction procedure. The model was automatically manipulated under software control to replace variables within the model structure with constants, individually and in combination. Predictions of the resultant models were compared to growth analysis observations of total biomass, grain yield, and canopy leaf area derived from 9 trials conducted in the UK and New Zealand under optimal, nitrogen limiting and drought conditions. Model performance in predicting these observations was compared in order to evaluate whether individual model variables contributed positively to the overall prediction. Of the 1 1 1 model variables considered 16 were identified as potentially redundant. Areas of the model where there was evidence of redundancy were: (a) translocation of biomass carbon to grain; (b) nitrogen physiology; (c) adjustment of air temperature for various modelled processes; (d) allowance for diurnal variation in temperature; (e) vernalisation (f) soil nitrogen mineralisation (g) soil surface evaporation. It is not suggested that these are not important processes in real crops, rather, that their representation in the model cannot be justified in the context of the analysis. The approach described is analogous to a detailed model inter-comparison although it would be better described as a model intra-comparison as it is based on the comparison of many simplified forms of the same model. The approach provides automation to increase the efficiency of the evaluation and a systematic means of increasing the rigour of the evaluation. |
Address |
2016-10-31 |
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English |
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ISSN |
0168-1923 |
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Notes |
CropM |
Approved |
no |
Call Number |
MA @ admin @ |
Serial |
4788 |
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Author |
Pirttioja, N.; Fronzek, S.; Rötter, R.P.; Carter, T.R. |
Title |
Probabilistic assessment of crop adaptation options under a changing climate |
Type |
Conference Article |
Year |
2012 |
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CropM |
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Conference |
Second Nordic International Conference on Climate Change Adaptation, 2012-08-29 to 2012-08-30 |
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no |
Call Number |
MA @ admin @ |
Serial |
2724 |
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Author |
Piotr, B., Jaromir Krzyszczak, Cezary Slawinski |
Title |
Multifractal analysis of chosen meteorological time series to assess climate impact in field level |
Type |
Conference Article |
Year |
2014 |
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CropM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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no |
Call Number |
MA @ admin @ |
Serial |
2722 |
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