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Emulating global climate change impacts on crop yields

Oyebamiji, Oluwole K.; Edwards, Neil R.; Holden, Philip B.; Garthwaite, Paul H.; Schaphoff, Sibyll and Gerten, Dieter (2015). Emulating global climate change impacts on crop yields. Statistical Modelling, 15(6) pp. 499–525.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1177/1471082X14568248
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Abstract

The potential effects of climate change on the environment and society are many. In order to effectively quantify the uncertainty associated with these effects, highly complex simulation models are run with detailed representations of ecosystem processes. These models are computationally expensive and can involve a computer run of several days. Computationally cheaper models can be obtained from large ensembles of simulations using statistical emulation. The purpose of this paper is to construct a cheaper computational model (emulator) from simulations of the Lund- Potsdam-Jena managed Land (LPJmL), which is a dynamic global vegetation and crop model. This paper focuses on statistical emulation of potential crop yields from LPJmL and an emulator is constructed using a combination of ordinary least squares, principal component analysis and weighted least squares methods. For five climate models, under cross-validation the percentage of variance explained ranges from 60- 88% for the rainfed crops and 62-93% for the irrigated crops. The emulator can be used to predict potential crop yield change under any future climate scenarios and management options.

Item Type: Journal Item
Copyright Holders: 2015 SAGE Publications
ISSN: 1477-0342
Project Funding Details:
Funded Project NameProject IDFunding Body
ERMITAGEFP 7265170EU
Keywords: crop yield; CO2 fertilization effect; principal components; distance weighted regression
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Research Group: International Development & Inclusive Innovation
Item ID: 41874
Depositing User: Philip Holden
Date Deposited: 21 Jan 2015 10:02
Last Modified: 15 Jan 2019 07:04
URI: http://oro.open.ac.uk/id/eprint/41874
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