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

•Eight barley models and eight climate projections for the 2050s were applied at two sites.•Sensitivity analyses were conducted on the responses of major crop processes to major climatic variables.•A new comprehensive analysis was conducted to look at the reasons why crop models diverge substantiall...

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Veröffentlicht in:Agricultural and forest meteorology 2020-02, Vol.281, p.107851, Article 107851
Hauptverfasser: 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.
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container_issue
container_start_page 107851
container_title Agricultural and forest meteorology
container_volume 281
creator 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.
description •Eight barley models and eight climate projections for the 2050s were applied at two sites.•Sensitivity analyses were conducted on the responses of major crop processes to major climatic variables.•A new comprehensive analysis was conducted to look at the reasons why crop models diverge substantially.•Impacts of increases in temperature and CO2 on leaf area development were the major causes.•The study has important implications for models improvement and experimental design. 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
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A comprehensive analysis based on eight barley crop models</title><source>Elsevier ScienceDirect Journals</source><creator>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.</creator><creatorcontrib>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.</creatorcontrib><description>•Eight barley models and eight climate projections for the 2050s were applied at two sites.•Sensitivity analyses were conducted on the responses of major crop processes to major climatic variables.•A new comprehensive analysis was conducted to look at the reasons why crop models diverge substantially.•Impacts of increases in temperature and CO2 on leaf area development were the major causes.•The study has important implications for models improvement and experimental design. 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. 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A comprehensive analysis based on eight barley crop models</title><title>Agricultural and forest meteorology</title><description>•Eight barley models and eight climate projections for the 2050s were applied at two sites.•Sensitivity analyses were conducted on the responses of major crop processes to major climatic variables.•A new comprehensive analysis was conducted to look at the reasons why crop models diverge substantially.•Impacts of increases in temperature and CO2 on leaf area development were the major causes.•The study has important implications for models improvement and experimental design. 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). 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A comprehensive analysis based on eight barley crop models</atitle><jtitle>Agricultural and forest meteorology</jtitle><date>2020-02-15</date><risdate>2020</risdate><volume>281</volume><spage>107851</spage><pages>107851-</pages><artnum>107851</artnum><issn>0168-1923</issn><eissn>1873-2240</eissn><abstract>•Eight barley models and eight climate projections for the 2050s were applied at two sites.•Sensitivity analyses were conducted on the responses of major crop processes to major climatic variables.•A new comprehensive analysis was conducted to look at the reasons why crop models diverge substantially.•Impacts of increases in temperature and CO2 on leaf area development were the major causes.•The study has important implications for models improvement and experimental design. 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). 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subjects Agriculture
Climate change
Computer Science
Crop growth simulation
Impact
Life Sciences
Model improvement
Modeling and Simulation
Uncertainty
Vegetal Biology
title Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models
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