Publication Abstracts

Fleisher et al. 2017

Fleisher, D.H., B. Condori, R. Quiroz, A. Alva, S. Asseng, C. Barreda, M. Bindi, K.J. Boote, R. Ferrise, A.C. Franke, P.M. Govindakrishnan, D. Harahagazwe, G. Hoogenboom, S. Naresh Kumar, P. Merante, C. Nendel, J.E. Olesen, P.S. Parker, D. Raes, R. Raymundo, A.C. Ruane, S. Stockle, I. Supit, E. Vanuytrecht, J. Wolf, and P. Woli, 2017: A potato model inter-comparison across varying climates and productivity levels. Glob. Change Biol., 23, no. 3, 1258-1281, doi:10.1111/gcb.13411.

A potato crop multi-model assessment was conducted to quantify variation among models and evaluate responses to climate change. Nine modeling groups simulated agronomic and climatic responses at low- (Chinoli, Bolivia and Gisozi, Burundi) and high- (Jyndevad, Denmark and Washington, United States) input 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 inter-annual variability, and predictions for all agronomic variables were significantly different from one model to another (p < 0.001). Uncertainty averaged 15 higher for low- versus 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 non-irrigated 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 tuberroot crops and suggest modeling assessments of climate change impact on potato may be improved using an ensemble approach.

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BibTeX Citation

@article{fl04000e,
  author={Fleisher, D. H. and Condori, B. and Quiroz, R. and Alva, A. and Asseng, S. and Barreda, C. and Bindi, M. and Boote, K. J. and Ferrise, R. and Franke, A. C. and Govindakrishnan, P. M. and Harahagazwe, D. and Hoogenboom, G. and Naresh Kumar, S. and Merante, P. and Nendel, C. and Olesen, J. E. and Parker, P. S. and Raes, D. and Raymundo, R. and Ruane, A. C. and Stockle, S. and Supit, I. and Vanuytrecht, E. and Wolf, J. and Woli, P.},
  title={A potato model inter-comparison across varying climates and productivity levels},
  year={2017},
  journal={Glob. Change Biol.},
  volume={23},
  number={3},
  pages={1258--1281},
  doi={10.1111/gcb.13411},
}

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RIS Citation

TY  - JOUR
ID  - fl04000e
AU  - Fleisher, D. H.
AU  - Condori, B.
AU  - Quiroz, R.
AU  - Alva, A.
AU  - Asseng, S.
AU  - Barreda, C.
AU  - Bindi, M.
AU  - Boote, K. J.
AU  - Ferrise, R.
AU  - Franke, A. C.
AU  - Govindakrishnan, P. M.
AU  - Harahagazwe, D.
AU  - Hoogenboom, G.
AU  - Naresh Kumar, S.
AU  - Merante, P.
AU  - Nendel, C.
AU  - Olesen, J. E.
AU  - Parker, P. S.
AU  - Raes, D.
AU  - Raymundo, R.
AU  - Ruane, A. C.
AU  - Stockle, S.
AU  - Supit, I.
AU  - Vanuytrecht, E.
AU  - Wolf, J.
AU  - Woli, P.
PY  - 2017
TI  - A potato model inter-comparison across varying climates and productivity levels
JA  - Glob. Change Biol.
VL  - 23
IS  - 3
SP  - 1258
EP  - 1281
DO  - 10.1111/gcb.13411
ER  -

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