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contributor authorRoberts, Martha G.
contributor authorDawe, David
contributor authorFalcon, Walter P.
contributor authorNaylor, Rosamond L.
date accessioned2017-06-09T16:22:10Z
date available2017-06-09T16:22:10Z
date copyright2009/08/01
date issued2009
identifier issn1558-8424
identifier otherams-66590.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4207942
description abstractThis study uses regression analysis to evaluate the relationships among sea surface temperature anomalies (SSTA) averaged over the Niño-3.4 region (5°N?5°S, 120°?170°W), rainfall, and rice production, area harvested, and yield in Luzon, the large island on which most Philippine rice is grown. Previous research on Philippine rice production and El Niño?Southern Oscillation (ENSO) has found negative associations between El Niño events and rice yields in rainfed systems. This analysis goes further and shows that both irrigated and rainfed ecosystems are impacted. It also compares impacts on area harvested and yield. Variations in average July?September Niño-3.4 SSTAs explain approximately 29% of the interannual variations in the deviations of total January?June (dry season) rice production from a polynomial trend for 1970?2005. In contrast, no impact was found on July?December production in either year t or t + 1. The impact of ENSO on dry-season rice production in Luzon appears to be primarily due to changes in area harvested rather than yield. Production declines for rainfed ecosystems are relatively larger than for irrigated ecosystems: a 1°C increase in average July?September Niño-3.4 SSTA is associated with a 3.7% decrease in irrigated dry-season production but with a 13.7% decline in rainfed dry-season production.
publisherAmerican Meteorological Society
titleEl Niño–Southern Oscillation Impacts on Rice Production in Luzon, the Philippines
typeJournal Paper
journal volume48
journal issue8
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/2008JAMC1628.1
journal fristpage1718
journal lastpage1724
treeJournal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 008
contenttypeFulltext


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