2015
DOI: 10.1016/j.agrformet.2014.11.003
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Can crop-climate models be accurate and precise? A case study for wheat production in Denmark

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Cited by 11 publications
(2 citation statements)
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“…However, increasing the number of parameters and variables in these climate-and process-based crop models increases their uncertainty of the estimated yield of a specific crop cultivar for a target environment (Figure 1). The magnitude of this uncertainty varies from model to model and depends on the approach (i.e., empirical or process-based) used to model the effect of climate change on crop physiology (e.g., heat stress) or on grain development and yield estimations [3][4][5][6][7][8]. Moreover, the sensitivity of crop models to one environmental parameter (e.g., temperature) would also influence the magnitude of the effect of other parameters on yield formation.…”
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confidence: 99%
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“…However, increasing the number of parameters and variables in these climate-and process-based crop models increases their uncertainty of the estimated yield of a specific crop cultivar for a target environment (Figure 1). The magnitude of this uncertainty varies from model to model and depends on the approach (i.e., empirical or process-based) used to model the effect of climate change on crop physiology (e.g., heat stress) or on grain development and yield estimations [3][4][5][6][7][8]. Moreover, the sensitivity of crop models to one environmental parameter (e.g., temperature) would also influence the magnitude of the effect of other parameters on yield formation.…”
mentioning
confidence: 99%
“…Crop model simulation framework with different sources of uncertainty affecting model predictions. Note: Further details of crop models are detailed in previous studies[3][4][5][6][7][8].…”
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confidence: 99%