Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models

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http://hdl.handle.net/10138/321942

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Tao , F , Palosuo , T , Rötter , R P , Díaz-Ambrona , C G H , Inés Mínguez , M , Semenov , M A , Kersebaum , K C , Cammarano , D , Specka , X , Nendel , C , Srivastava , A K , Ewert , F , Padovan , G , Ferrise , R , Martre , P , Rodríguez , L , Ruiz-Ramos , M , Gaiser , T , Höhn , J G , Salo , T , Dibari , C & Schulman , A H 2020 , ' Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models ' , Agricultural and Forest Meteorology , vol. 281 , 107851 . https://doi.org/10.1016/j.agrformet.2019.107851

Title: Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models
Author: Tao, Fulu; Palosuo, Taru; Rötter, Reimund P.; Díaz-Ambrona, Carlos Gregorio Hernández; Inés Mínguez, M.; Semenov, Mikhail A.; Kersebaum, Kurt Christian; Cammarano, Davide; Specka, Xenia; Nendel, Claas; Srivastava, Amit Kumar; Ewert, Frank; Padovan, Gloria; Ferrise, Roberto; Martre, Pierre; Rodríguez, Lucía; Ruiz-Ramos, Margarita; Gaiser, Thomas; Höhn, Jukka G.; Salo, Tapio; Dibari, Camilla; Schulman, Alan H.
Contributor: University of Helsinki, Viikki Plant Science Centre (ViPS)
Date: 2020-02-15
Language: eng
Number of pages: 18
Belongs to series: Agricultural and Forest Meteorology
ISSN: 0168-1923
URI: http://hdl.handle.net/10138/321942
Abstract: Robust projections of climate impact on crop growth and productivity by crop models are key to designing effective adaptations to cope with future climate risk. However, current crop models diverge strongly in their climate impact projections. Previous studies tried to compare or improve crop models regarding the impact of one single climate variable. However, this approach is insufficient, considering that crop growth and yield are affected by the interactive impacts of multiple climate change factors and multiple interrelated biophysical processes. Here, a new comprehensive analysis was conducted to look holistically at the reasons why crop models diverge substantially in climate impact projections and to investigate which biophysical processes and knowledge gaps are key factors affecting this uncertainty and should be given the highest priorities for improvement. First, eight barley models and eight climate projections for the 2050s were applied to investigate the uncertainty from crop model structure in climate impact projections for barley growth and yield at two sites: Jokioinen, Finland (Boreal) and Lleida, Spain (Mediterranean). Sensitivity analyses were then conducted on the responses of major crop processes to major climatic variables including temperature, precipitation, irradiation, and CO2, as well as their interactions, for each of the eight crop models. The results showed that the temperature and CO2 relationships in the models were the major sources of the large discrepancies among the models in climate impact projections. In particular, the impacts of increases in temperature and CO2 on leaf area development were identified as the major causes for the large uncertainty in simulating changes in evapotranspiration, above-ground biomass, and grain yield. Our findings highlight that advancements in understanding the basic processes and thresholds by which climate warming and CO2 increases will affect leaf area development, crop evapotranspiration, photosynthesis, and grain formation in contrasting environments are needed for modeling their impacts.
Subject: AIR CO2 ENRICHMENT
ATMOSPHERIC CO2
Agriculture
Climate change
Crop growth simulation
ELEVATED CO2
FIELD EXPERIMENT
Impact
Model improvement
NITROGEN DYNAMICS
RICE PHENOLOGY
SIMULATION-MODELS
TEMPERATURE
UNCERTAINTY
Uncertainty
WHEAT GROWTH
11831 Plant biology
1172 Environmental sciences
415 Other agricultural sciences
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