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Author |
Kahiluoto, H.; Rötter, R.; Webber, H.; Ewert, F. |
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Title |
The Role of Modelling in Adapting and Building the Climate Resilience of Cropping Systems |
Type |
Book Chapter |
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Year |
2014 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
204-215 |
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Keywords |
CropM |
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Publisher |
CAB International |
Place of Publication |
Wallingford |
Editor |
Fuhrer, J.; Gregory, P.J. |
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Series Title |
Climate Change Impact and Adaptation in Agricultural Systems |
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no |
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Call Number |
MA @ admin @ |
Serial |
2513 |
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Author |
Ahammad, H.; Heyhoe, E.; Nelson, G.; Sands, R.; Fujimori, S.; Hasegawa, T.; van der Mensbrugghe, D.; Blanc, E.; Havlik, P.; Valin, H.; Kyle, P.; d’Croz, D.M.; Meijl, H.V.; Schmitz, C.; Lotze-Campen, H.; von Lampe, M.; Tabeau, A. |
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Title |
The Role of International Trade under a Changing Climate: Insights from global economic modelling |
Type |
Book Chapter |
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Year |
2015 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
293-312 |
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Place of Publication |
Rome |
Editor |
Elbehri, A. |
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Series Title |
Climate Change and Food Systems |
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Approved |
no |
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Call Number |
MA @ admin @ |
Serial |
5001 |
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Author |
Lehtonen, H.; Liu, X.; Purola, T. |
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Title |
Balancing Climate Change Mitigation and Adaptation with Socio-Economic Goals at Farms in Northern Europe |
Type |
Book Chapter |
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Year |
2015 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
TradeM |
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Abstract |
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Publisher |
Routledge |
Place of Publication |
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Editor |
Paloviita, A.; Järvelä, M. |
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Series Title |
Climate Adaptation, Policy and Food Supply Chain Management in Europe |
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Notes |
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Approved |
no |
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Call Number |
MA @ admin @ |
Serial |
2598 |
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Author |
Rötter, R.P.; Höhn, J. |
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Title |
An overview of climate change impacts on crop production and its variability in Europe, related uncertainties and research challenges |
Type |
Book Chapter |
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Year |
2014 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
106-145 |
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Keywords |
CropM |
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Abstract |
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Series Title |
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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Notes |
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no |
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Call Number |
MA @ admin @ |
Serial |
2761 |
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Author |
Boote, K.J.; Porter, C.; Jones, J.W.; Thorburn, P.J.; Kersebaum, K.C.; Hoogenboom, G.; White, J.W.; Hatfield, J.L. |
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Title |
Sentinel site data for crop model improvement—definition and characterization |
Type |
Book Chapter |
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Year |
2016 |
Publication |
Improving Modeling Tools to Assess Climate Change Effects on Crop Response |
Abbreviated Journal |
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Abstract |
Crop models are increasingly being used to assess the impacts of future climate change on production and food security. High quality, site-specific data on weather, soils, management, and cultivar are needed for those model applications. Also important is that model development, evaluation, improvement, and calibration require additional high quality, site-specific measurements on crop yield, growth, phenology, and ancillary traits. We review the evolution of minimum data set requirements for agroecosystem modeling and then describe the characteristics and ranking of sentinel site data needed for crop model improvement, calibration, and application. We in the Agricultural Model Intercomparison and Improvement Project (AgMIP), propose to rank sentinel site data sets as platinum, gold, silver, and copper, based on the degree of true site-specific measurement of weather, soils, management, crop yield, as well as the quality, comprehensiveness, quantity, accuracy, and value. For example, to be ranked platinum, the weather and soil characterization must be measured on-site, and all management inputs must be known. Dataset ranking will be lower for weather measured off-site or soil traits estimated from soil mapping. Ranking also depends on the intended purposes for data use. If the purpose is to improve a crop model for response to water or N, then additional observations are necessary, such as initial soil water, initial soil inorganic N, and plant N uptake during the growing season to be ranked platinum. Rankings are enhanced by presence of multiple treatments and sites. Examples of platinum-, gold-, and silver-quality data sets for model improvement and calibration uses are illustrated. |
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Place of Publication |
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Editor |
Hatfield, J.L.; Fleisher, D. |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
Advances in Agricultural Systems Modeling |
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Series Volume |
7 |
Series Issue |
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Edition |
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ISSN |
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Notes |
CropM |
Approved |
no |
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Call Number |
MA @ admin @ |
Serial |
4980 |
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Permanent link to this record |