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Author Heinschink, K.; Sinabell, F.; Url, T.
Title Elements of an Index-based Margin Insurance. An Application to Wheat Production in Austria Type Report
Year 2017 Publication WIFO Working Papers Abbreviated Journal
Volume 536 Issue Pages 16
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Notes TradeM Approved no
Call Number MA @ admin @ Serial 5016
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Author Sharif, B.
Title Data mining techniques for quantifying and projecting crop yield responses to climate change Type Book Whole
Year 2017 Publication Abbreviated Journal
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Corporate Author Thesis Ph.D. thesis
Publisher Aarhus University Place of Publication Aarhus Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title PhD
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Notes CropM Approved no
Call Number MA @ admin @ Serial 5165
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Author Iocola, I.
Title Past experience supports future choices for cropping systems management: the Italian long-term agro-ecosystem experiments (LTAEs) through the IC-FAR network Type Book Whole
Year 2017 Publication Abbreviated Journal
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Publisher University of Sassari Place of Publication Sassari Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title PhD
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Notes CropM Approved no
Call Number MA @ admin @ Serial 5166
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Author Francioni, M.
Title Soil CO2 emissions and C stock as ecosystem services: a comparison between transhumant and conventional farming systems Type Book Whole
Year 2017 Publication Abbreviated Journal
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Corporate Author Thesis Ph.D. thesis
Publisher Università Politecnica delle Marche Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title PhD
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ISSN ISBN Medium
Area Expedition Conference
Notes LiveM Approved no
Call Number MA @ admin @ Serial 5167
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Author Fleisher, D.H.; Condori, B.; Quiroz, R.; Alva, A.; Asseng, S.; Barreda, C.; Bindi, M.; Boote, K.J.; Ferrise, R.; Franke, A.C.; Govindakrishnan, P.M.; Harahagazwe, D.; Hoogenboom, G.; Naresh Kumar, S.; Merante, P.; Nendel, C.; Olesen, J.E.; Parker, P.S.; Raes, D.; Raymundo, R.; Ruane, A.C.; Stockle, C.; Supit, I.; Vanuytrecht, E.; Wolf, J.; Woli, P.
Title A potato model intercomparison across varying climates and productivity levels Type Journal Article
Year 2017 Publication Global Change Biology Abbreviated Journal Glob. Chang. Biol.
Volume 23 Issue 3 Pages 1258-1281
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Abstract (up) A potato crop multimodel assessment was conducted to quantify variation among models and evaluate responses to climate change. Nine modeling groups simulated agronomic and climatic responses at low-input (Chinoli, Bolivia and Gisozi, Burundi)- and high-input (Jyndevad, Denmark and Washington, United States) management sites. Two calibration stages were explored, partial (P1), where experimental dry matter data were not provided, and full (P2). The median model ensemble response outperformed any single model in terms of replicating observed yield across all locations. Uncertainty in simulated yield decreased from 38% to 20% between P1 and P2. Model uncertainty increased with interannual variability, and predictions for all agronomic variables were significantly different from one model to another (P < 0.001). Uncertainty averaged 15% higher for low- vs. high-input sites, with larger differences observed for evapotranspiration (ET), nitrogen uptake, and water use efficiency as compared to dry matter. A minimum of five partial, or three full, calibrated models was required for an ensemble approach to keep variability below that of common field variation. Model variation was not influenced by change in carbon dioxide (C), but increased as much as 41% and 23% for yield and ET, respectively, as temperature (T) or rainfall (W) moved away from historical levels. Increases in T accounted for the highest amount of uncertainty, suggesting that methods and parameters for T sensitivity represent a considerable unknown among models. Using median model ensemble values, yield increased on average 6% per 100-ppm C, declined 4.6% per °C, and declined 2% for every 10% decrease in rainfall (for nonirrigated sites). Differences in predictions due to model representation of light utilization were significant (P < 0.01). These are the first reported results quantifying uncertainty for tuber/root crops and suggest modeling assessments of climate change impact on potato may be improved using an ensemble approach.
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ISSN 1354-1013 ISBN Medium article
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Notes CropM, ftnotmacsur Approved no
Call Number MA @ admin @ Serial 4968
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