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Author |
Heinschink, K.; Sinabell, F.; Url, T. |
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Title |
Elements of an Index-based Margin Insurance. An Application to Wheat Production in Austria |
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Report |
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Year |
2017 |
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WIFO Working Papers |
Abbreviated Journal |
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Volume |
536 |
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Pages |
16 |
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TradeM |
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no |
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Call Number |
MA @ admin @ |
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5016 |
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Author |
Sharif, B. |
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Title |
Data mining techniques for quantifying and projecting crop yield responses to climate change |
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2017 |
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Ph.D. thesis |
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Aarhus University |
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Aarhus |
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PhD |
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CropM |
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no |
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MA @ admin @ |
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5165 |
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Author |
Iocola, I. |
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Title |
Past experience supports future choices for cropping systems management: the Italian long-term agro-ecosystem experiments (LTAEs) through the IC-FAR network |
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Book Whole |
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2017 |
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Ph.D. thesis |
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University of Sassari |
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Sassari |
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PhD |
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CropM |
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no |
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Call Number |
MA @ admin @ |
Serial |
5166 |
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Author |
Francioni, M. |
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Title |
Soil CO2 emissions and C stock as ecosystem services: a comparison between transhumant and conventional farming systems |
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Book Whole |
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2017 |
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Ph.D. thesis |
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Università Politecnica delle Marche |
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LiveM |
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no |
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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. |
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Title |
A potato model intercomparison across varying climates and productivity levels |
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Journal Article |
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Year |
2017 |
Publication |
Global Change Biology |
Abbreviated Journal |
Glob. Chang. Biol. |
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Volume |
23 |
Issue |
3 |
Pages |
1258-1281 |
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Abstract |
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 |
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article |
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Notes |
CropM, ftnotmacsur |
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Call Number |
MA @ admin @ |
Serial |
4968 |
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