Location: Adaptive Cropping Systems Laboratory
Title: Multi location response and calibration stability of potato models to changes in atmospheric carbon dioxide concentrationAuthor
Fleisher, David | |
CONDORI, BRUNO - Universidad Cientifica Del Sur Peru | |
BARREDA, CAROLINA - International Potato Center | |
BERGUIJS, HERMAN - University Of Wageningen | |
BINDI, MARCO - University Of Florence | |
BOOTE, KEN - University Of Florida | |
CRAIGON, JIM - University Of Nottingham | |
VAN EVERT, FRITZ - University Of Wageningen | |
FANGMEIER, ANDREAS - University Of Hohenheim | |
FERRISE, ROBERTO - University Of Florence | |
GAYLER, SEBASTIAN - University Of Hohenheim | |
HOOGENBOOM, GERRIT - University Of Florida | |
KREMER, PASCAL - University Of Hohenheim | |
MERANTE, PAOLO - University Of Florence | |
NENDEL, CLAAS - Leibniz Institute | |
NINANYA, JOHAN - International Potato Center | |
RAES, DIRK - Leuven University | |
RAMIREZ, DAVID - International Potato Center | |
STOCKLE, CLAUDIO - Washington University | |
SUPIT, IWAN - University Of Wageningen | |
STELLA, TOMMASO - Leibniz Institute | |
VANDERMEIREN, KARINE - Veterinary And Agrochemical Research Center, Coda-Cerva | |
VANUYTRECHT, ELINE - Leuven University | |
VORNE, VIRPI - Natural Resources Institute Finland (LUKE) | |
VANOORT, PEPIJN - University Of Wageningen | |
WOLF, JOOST - University Of Wageningen |
Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only Publication Acceptance Date: 8/23/2019 Publication Date: N/A Citation: N/A Interpretive Summary: Technical Abstract: This study reports on research results from the potato crop modeling pilot of the Agricultural Model Intercomparison and Improvement Project (AgMIP) to assess the response of an ensemble of potato models to changes in atmospheric carbon dioxide concentration (C). Experimental data from eight open-top and free-air CO2 enrichment systems throughout Europe drive the study. The sensitivity of model calibration to location was also evaluated as similar management conditions and an identical cultivar (Bintje) were used. Two phases were conducted. First, modelers were provided with data from just two of the eight locations at ambient C levels for calibration. The same calibration was then applied to simulating responses at ambient C for the remaining six locations as well as that at elevated C for all eight locations. In the second phase, modelers developed site-specific calibration parameters for each individual location, as well as one single cross-location calibration set. Simulations were then conducted for elevated C responses at each location using both calibration results. The capability of the ensemble of crop models to accurately replicate potato yields under elevated C will be evaluated under both research phases. The influence that data availability and calibration methodology have on these results will also be assessed. This presentation will thus be reporting on model accuracy as well as the geospatial stability of model calibration. Results will highlight accuracy among the models with respect to making single-factor regional climate change predictions, the modeling knowledge gaps needed to improve versatility of these decision support tools, and potential pitfalls associated the available experimental datasets. |