Mapping spatio-temporal changes in climatic suitability of corn in the Philippines under future climate condition
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Date
2017
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WydziaĆ Nauk Geograficznych i Geologicznych Uniwersytetu im. Adama Mickiewicza
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Abstract
This study assessed the spatio-temporal changes in corn climatic suitability in the Philippines under future
climate condition. Using extracted climatic data from WorldClim database for the country under baseline and future
climate condition, changes in corn suitability was assessed using fuzzy logic approach and published rainfall and
temperature requirement of the crop. Based on the data, the large portion of the country will experience increase in
monthly total rainfall (88%) while increase in monthly mean and minimum temperature under future climate condition
is projected for the entire country. These increases in rainfall and temperature resulted in changes of corn climatic
suitability in the country depending on the month and location. On the average, changes in rainfall resulted in reduction
(8%) and improvement (6%) in corn suitability while increase in temperature resulted in 5% and 0.4% reduction
and improvement, respectively.
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Keywords
Corn, climate change, climatic risk, fuzzy logic Philippines
Citation
Quaestiones Geographicae vol. 36 (1), 2017, pp. 105-120