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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.
Title Sentinel site data for crop model improvement—definition and characterization Type Book Chapter
Year 2016 Publication Improving Modeling Tools to Assess Climate Change Effects on Crop Response Abbreviated Journal (down)
Volume Issue Pages
Keywords
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.
Address
Corporate Author Thesis
Publisher Place of Publication Editor Hatfield, J.L.; Fleisher, D.
Language Summary Language Original Title
Series Editor Series Title Advances in Agricultural Systems Modeling Abbreviated Series Title
Series Volume 7 Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes CropM Approved no
Call Number MA @ admin @ Serial 4980
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Author Biewald, A.; Lotze-Campen, H.; Otto, I.; Brinckmann, N.; Bodirsky, B.; Weindl, I.; Popp, A.; Schellnhuber, H.J.
Title The Impact of Climate Change on Costs of Food and People Exposed to Hunger at Subnational Scale Type Report
Year 2015 Publication PIK Report Abbreviated Journal (down)
Volume 128 Issue Pages 73
Keywords ftnotmacsur
Abstract Climate change and socioeconomic developments will have a decisive impact on people exposed to hunger. This study analyses climate change impacts on agriculture and potential implications for the occurrence of hunger under different socioeconomic scenarios for 2030, focusing on the world regions most affected by poverty today: the Middle East and North Africa, South Asia, and Sub-Saharan Africa. We use a spatially explicit, agroeconomic land-use model to assess agricultural vulnerability to climate change. The aims of our study are to provide spatially explicit projections of climate change impacts on Costs of Food, and to combine them with spatially explicit hunger projections for the year 2030, both under a poverty, as well as a prosperity scenario. Our model results indicate that while average yields decrease with climate change in all focus regions, the impact on the Costs of Food is very diverse. Costs of Food increase most in the Middle East and North Africa, where available agricultural land is already fully utilized and options to import food are limited. The increase is least in Sub-Saharan Africa, since production there can be shifted to areas which are only marginally affected by climate change and imports from other regions increase. South Asia and Sub-Saharan Africa can partly adapt to climate change, in our model, by modifying trade and expanding agricultural land. In the Middle East and North Africa, almost the entire population is affected by increasing Costs of Food, but the share of people vulnerable to hunger is relatively low, due to relatively strong economic development in these projections. In Sub-Saharan Africa, the Vulnerability to Hunger will persist, but increases in Costs of Food are moderate. While in South Asia a high share of the population suffers from increases in Costs of Food and is exposed to hunger, only a negligible number of people will be exposed at extreme levels. Independent of the region, the impacts of climate change are less severe in a richer and more globalized world. Adverse climate impacts on the Costs of Food could be moderated by promoting technological progress in agriculture. Improving market access would be advantageous for farmers, providing the opportunity to profitably increase production in the Middle East and North Africa as well as in South Asia, but may lead to increasing Costs of Food for consumers. In the long-term perspective until 2080, the consequences of climate change will become even more severe: while in 2030 56% of the global population may face increasing Costs of Food in a poor and fragmented world, in 2080 the proportion will rise to 73%.
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Corporate Author Thesis
Publisher Place of Publication Potsdam Editor
Language Summary Language Original Title
Series Editor Potsdam-Institut für Klimafolgenforschung Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes TradeM Approved no
Call Number MA @ admin @ Serial 5000
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Author Mitter, H.; Schönhart, M.; Meyer, I.; Mechtler, K.; Schmid, E.; Sinabell, F.; Bachner, G.
Title Agriculture Type Book Chapter
Year 2015 Publication Abbreviated Journal (down)
Volume Issue Pages 121-144
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Corporate Author Thesis
Publisher Place of Publication Vienna Editor Steininger, K.; König, M.; Bednar-Friedl, B.; Kranzl, L.; Loibl, W.; Prettenthaler, F.
Language Summary Language Original Title
Series Editor Series Title Economic Evaluation of Climate Change Impacts. Development of a Cross-Sectoral Framework and Results for Austria Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes TradeM, ftnotmacsur Approved no
Call Number MA @ admin @ Serial 5014
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Author Sinabell, F.; Sommer, M.; Kappert, R.; Kaul, H.P.
Title Ist Mais unentbehrlich? Type Magazine Article
Year 2015 Publication Der Pflanzenarzt Abbreviated Journal (down)
Volume 68 Issue Pages 19-21
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Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes TradeM, ft_macsur Approved no
Call Number MA @ admin @ Serial 5015
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Author Sinabell, F.; Kappert, R.; Kaul, H.-P.; Kratena, K.; Sommer, M.
Title Maisanbau in Österreich. Ökonomische Bedeutung und pflanzenbauliche Herausforderungen Type Report
Year 2015 Publication Studie des Österreichischen Instituts für Wirtschaftsforschung im Auftrag des Ökosozialen Forums Abbreviated Journal (down)
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Abstract
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Österreichisches Institut für Wirtschaftsforschung Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes TradeM Approved no
Call Number MA @ admin @ Serial 5018
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