Modelling Impacts of Climate Change on Maize (Zea mays L.) Growth and Productivity: A Review of Models, Outputs and Limitations - Journal of Geoscience and Environment Protection

GEP > Vol.7 No.8, August 2019

Journal of Geoscience and Environment Protection

Volume 7, Issue 8 (August 2019)

ISSN Print: 2327-4336 ISSN Online: 2327-4344

Google-based Impact Factor: 0.72 Citations

Modelling Impacts of Climate Change on Maize (Zea mays L.) Growth and Productivity: A Review of Models, Outputs and Limitations ()

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DOI: 10.4236/gep.2019.78006 1,149 Downloads 3,189 Views Citations

Author(s)

Benjamin Kipkemboi Kogo^1*, Lalit Kumar¹, Richard Koech², Philip Langat¹

Affiliation(s)

¹School of Environmental and Rural Science, University of New England, Armidale, Australia.
²School of Health, Medical and Applied Sciences, Central Queensland University, Bundaberg, Australia.

ABSTRACT

The use of crop modelling in various cropping systems and environments to project and upscale agronomic decision-making under the facets of climate change has gained currency in recent years. This paper provides an evaluation of crop models that have been used by researchers to simulate maize growth and productivity. Through a systematic review approach, a comprehensive assessment of 186 published articles was carried out to establish the models and parameterization features, simulated impacts on maize yields and adaptation strategies in the last three decades. Of the 23 models identified, CERES-maize and APSIM models were the most dominant, representing 49.7% of the studies undertaken between 1990 and 2018. Current research shows projected decline in maize yields of between 8% - 38% under RCP4.5 and RCP8.5 scenarios by the end of the 21^st century, and that adaptation is essential in alleviating the impacts of climate change. Major agro-adaptation options considered in most papers are changes in planting dates, cultivars and crop water management practices. The use of multiple crop models and multi-model ensembles from general circulation models (GCMs) is recommended. As interest in crop modelling grows, future work should focus more on suitability of agricultural lands for maize production under climate scenarios.

KEYWORDS

Crop Modelling, Climate Scenarios, Maize, Simulation, GCM

Share and Cite:

Kogo, B. , Kumar, L. , Koech, R. and Langat, P. (2019) Modelling Impacts of Climate Change on Maize (Zea mays L.) Growth and Productivity: A Review of Models, Outputs and Limitations. Journal of Geoscience and Environment Protection, 7, 76-95. doi: 10.4236/gep.2019.78006.

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