Climate variability impacts on rice production in the Philippines

Stuecker, Malte F.; Tigchelaar, Michelle; Kantar, Michael B.

doi:10.1371/journal.pone.0201426

Cited by 84 publications

(56 citation statements)

References 73 publications

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“…The inverse relationships between MEI and the anomalies of rice production (r=-0.49), area harvested (r=-0.40) and yield (r=0.39) were significant at the 1% level, and account for 24.2%, 19% and 17% of total variability, respectively (Figure 3). Similar significant relationships have been detected in many regions of the world (Iizumi et al, 2014) including Indonesia (Naylor et al, 2007), Sri Lanka (Zubair, 2002), India (Selvaraju, 2003), Philippines (Roberts et al, 2009;Stuecker et al, 2018) and China (Zhang et al, 2008;Shuai et al, 2013). It was also evident that rice production showed a highest correlation with MEI, consistent with the study of Yahiya et al (2010) illustrating that rice production in Sri Lanka had a higher correlation with ENSO events than rice yield for both "Maha" (October to March) and "Yala" (April to September) cultivation seasons.…”

Section: Relationships Between Thailand's Rice Production Area Harvesupporting

confidence: 73%

Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Limsakul¹

2019

EnNRJ

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The impacts of ENSO and its associated climate variability on Thailand's rice production, area harvested and yield during 1961-2016 were examined. Analysis showed that year-to-year weather-related variations in Thailand's rice production, area harvested and yield which accounted for about one third of total interannual variance tended to vary in response to the phase reversals of ENSO events, with large decreases occurred during El Niño events. Rice production, area harvested and yield also exhibited lower (higher) than normal during the years when Thailand experienced deficit (excess) rainfall and lower (greater) number of rainy days. These results in combination with the previous studies suggest that ENSO exerts its influence on rice production and yield in Thailand via inducing anomalies in rainfall and temperature. Another noteworthy finding was the asymmetrical ENSO-Thailand's rice production relationship. Significant decline was observed only during El Niño events, highlighting a much greater influence of El Niño events on Thailand's rice production, area harvested and yield than La Niña events. This observation provides additional evidence extending the previously reported asymmetry in the ENSO-rainfall relationship in Thailand to rice production and yield as well. Hence, the asymmetrical ENSO-rice relationship should be taken into account when developing linearly predictive model.

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Section: Relationships Between Thailand's Rice Production Area Harvesupporting

confidence: 73%

Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Limsakul¹

2019

EnNRJ

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“…Moreover, climate change could be a new threat. Although the area of rice paddy fields has been increasing for decades in the Philippines, future air temperature rise could restrict rice production in the country 41 . Reduction of the species' habitat range due to a shift in land use or climate change could affect the birds' fitness in subsequent locations and the long-term Figure 2.…”

Section: Discussionmentioning

confidence: 99%

Rice fields along the East Asian-Australasian flyway are important habitats for an inland wader’s migration

Kasahara

Morimoto

Kitamura

et al. 2020

Sci Rep

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To maintain and recover populations of migratory waders, we must identify the important stopover sites and habitat use along migration routes. However, we have little such information for waders that depend on inland freshwater areas compared with those that depend on coastal areas. Recent technological developments in tracking devices now allow us to define habitat use at a fine scale. In this study, we used GPS loggers to track both spring and autumn migration along the East Asian-Australasian flyway of the little ringed plover (Charadrius dubius) as birds moved to and from their breeding grounds, gravel riverbeds in Japan. The birds we tracked overwintered in the Philippines and made stopovers mainly in Taiwan and the Philippines. The most important habitat during the nonbreeding season was rice paddy fields. Our findings imply that changes in agriculture management policy in the countries along the migration route could critically affect the migration of waders that depend on rice paddy fields. To maintain populations of migrant inland waders that move within the East Asian-Australasian flyway, it is necessary not only to sustain the breeding habitat but also wetlands including the rice paddy fields as foraging habitat for the non-breeding season. Migrant waders have been decreasing on a worldwide scale 1-5 due to various complex reasons 6 , such as land-use change 2 and increasing human activity 4,5. Since these migrant birds use multiple habitats and climatic zones within their annual life cycle 7 , identifying the migration pattern and route, including the habitats used along the way, is imperative for understanding the factors that affect population changes and/or contribute to efficient conservation activities. The loss or degradation of stopover sites is a particularly serious issue 1,2,4-6. In recent decades, therefore, many studies have investigated the migration patterns, detailed migration routes, and important stopover sites for several waders by using tracking methods ranging from traditional color flagging to advanced systems such as satellite and light-level geolocators 8-12. Studies of migration ecology of waders, however, have mainly focused on species that depend on coastal areas (i.e., shorebirds), and there is still little information on those that depend on inland freshwater areas. The low visibility of inland waders compared with that of coastal waders and the coarse spatial resolution of previously used tracking devices (light-level geolocators 13 , 50-200 km; Argos system, <150 m under good conditions and >1000 m under worse conditions 14) made it difficult to determine the fine-scale habitat use of individuals. However, inland natural wetlands have been dramatically declining on a global scale 15 , and some studies in the East Asian-Australasian flyway (EAAF) reported that waders that depend on inland habitat such as rice paddy fields have been decreasing 2,16. For migrant birds, rice paddy fields function much like semi-natural wetlands 17 , and rice is grown across a wide range of la...

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“…In the absence of that, average yearly major and minor rainfall amount will also provide enough basis for assessing the effect of the variability on crop production in each CAD [20]. Temperature also plays a major role in determining the overall relationship between crop production and other factors such as soil, water, and technology [22][23][24]53]. This observation formed the basis for recommending that a lot more effort must be done to improve crop production within the major season because of less rainfall variability compared to the minor season.…”

Section: Discussionmentioning

confidence: 99%

“…Most importantly, the PCI has the ability to describe how rainfall is distributed yearly (i.e., whether it is evenly distributed or concentrated in a single month), an attribute considered for this study. Beside PCI, there are other rainfall variability measures such as the precipitation concentration period (PCP), fulcrum (centre of gravity), and precipitation concentration degree (PCD) that can equally perform well [51][52][53]. Other methods such as Fournier Index for year (FI), Modified Fournier Index for year (MFI), and the Modified Fournier-Maule Index for year measure rainfall aggressiveness, which was not an attribute considered in this study [47].…”

Section: Models For Rainfall and Cropmentioning

confidence: 99%

Impact of Rainfall Variability on Crop Production within the Worobong Ecological Area of Fanteakwa District, Ghana

Kyei-Mensah

Kyerematen

Adu-Acheampong

2019

Advances in Agriculture

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Crop production in the Fanteakwa District is predominantly rainfed, exposing this major livelihood activity to the variability or change in rainfall pattern. The net potential effect of severe changes in rainfall pattern is the disruption in crop production leading to food insecurity, joblessness, and poverty. As a major concern to food production in Ghana, this study seeks to show the relationship between the production of major crops and rainfall distribution pattern in the Worobong Agroecological Area (WAA) relative to food security in the face of climate change. The study analysed the variability in local rainfall data, examining the interseasonal (main and minor) rainfall distribution using the precipitation concentration index (PCI), and determined the pattern, availability of water, and the strength of correlation with crop production in the WAA. Data from the Ghana Meteorological Agency (GMet) spanning a 30-year period and grouped into 3 decades of 10 years each was used. Selected crop data for 1993-2014 was also obtained from the Ministry of Food and Agriculture’s District office and analyzed for trends in crop yield over the period and established relationship between the crop data and the rainfall data. Part of the result revealed that rainfall variability within the major seasons in the 3 groups was lower than the minor seasons. It further showed that yields of three crops have declined over the period. Among the strategies to sustain crop production is to make the findings serve as useful reference to inform discussions and policy on adaptive agricultural production methodologies for the area in the face of changing climate.

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Climate variability impacts on rice production in the Philippines

Cited by 84 publications

References 73 publications

Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Impacts of El Niño-Southern Oscillation (ENSO) on Rice Production in Thailand during 1961-2016

Rice fields along the East Asian-Australasian flyway are important habitats for an inland wader’s migration

Impact of Rainfall Variability on Crop Production within the Worobong Ecological Area of Fanteakwa District, Ghana

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