期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 29, 期 1, 页码 37-43出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2011.10.008
关键词
Crop growth model; Input data; Sensitivity analysis; Soil water; Drought; Parameterisation
类别
资金
- Shell Research Ltd.
- Royal Society
- UK Energy Research Centre (UKERC)/NERC [NE/H013415/1]
- EU
- Natural Environment Research Council [NE/H013415/1, NE/G007748/1] Funding Source: researchfish
- NERC [NE/G007748/1, NE/H013415/1] Funding Source: UKRI
Crop growth models are increasingly used as part of research into areas such as climate change and bioenergy, so it is particularly important to understand the effects of environmental inputs on model results. Rather than investigating the effects of separate input parameters, we assess results obtained from a crop growth model using a selection of entire meteorological and soil input datasets, since these define modelled conditions. Yields are found to vary significantly only where the combination of inputs makes the crop vulnerable to drought, rather than being especially sensitive to any single input. Results highlight the significance of soil water parameters, which are likely to become increasingly critical in areas affected by climate change. Differences between datasets demonstrate the need to consider the dataset-dependence of parameterised model terms, both for model validation and predictions based on alternative datasets. (C) 2011 Elsevier Ltd. All rights reserved.
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