Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models

Masutomi, Yuji; Toko, Kiyoshi; Harasawa, Hideo; Matsuoka, Yuzuru

doi:10.1016/j.agee.2009.02.004

Cited by 186 publications

(116 citation statements)

References 28 publications

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“…Higher CO 2 concentrations can exacerbate the sterility impacts of higher temperatures by reducing the number of pollen grains deposited on the stigma [34]. The net effects of changes in temperature and CO 2 concentrations likely will be negative in some locations and seasons, and positive in others, with variation across temperate and tropical climates [6,27].…”

Section: Direct Effectsmentioning

confidence: 99%

“…Rice production is moderately susceptible to damage from climate change. Rising temperatures and changes in the amount and timing of rainfall can impair plant growth and reduce crop yields [6][7][8]. The increasing atmospheric concentration of CO 2 will enhance plant growth in some areas, with positive implications for crop yield, but the net impact of climate change will be negative in areas where the yield impairment due to rising temperatures or changing rainfall patterns is substantial.…”

Section: Introductionmentioning

confidence: 99%

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Managing Water and Soils to Achieve Adaptation and Reduce Methane Emissions and Arsenic Contamination in Asian Rice Production

Wichelns

2016

Water

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Rice production is susceptible to damage from the changes in temperature and rainfall patterns, and in the frequency of major storm events that will accompany climate change. Deltaic areas, in which millions of farmers cultivate from one to three crops of rice per year, are susceptible also to the impacts of a rising sea level, submergence during major storm events, and saline intrusion into groundwater and surface water resources. In this paper, I review the current state of knowledge regarding the potential impacts of climate change on rice production and I describe adaptation measures that involve soil and water management. In many areas, farmers will need to modify crop choices, crop calendars, and soil and water management practices as they adapt to climate change. Adaptation measures at the local, regional, and international levels also will be helpful in moderating the potential impacts of climate change on aggregate rice production and on household food security in many countries. Some of the changes in soil and water management and other production practices that will be implemented in response to climate change also will reduce methane generation and release from rice fields. Some of the measures also will reduce the uptake of arsenic in rice plants, thus addressing an important public health issue in portions of South and Southeast Asia. Where feasible, replacing continuously flooded rice production with some form of aerobic rice production, will contribute to achieving adaptation objectives, while also reducing global warming potential and minimizing the risk of negative health impacts due to consumption of arsenic contaminated rice.

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Section: Direct Effectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Managing Water and Soils to Achieve Adaptation and Reduce Methane Emissions and Arsenic Contamination in Asian Rice Production

Wichelns

2016

Water

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“…To reduce intensity of the birds eating the rice, farmer put up the paranet and scarecrow. The attitude toward adaptation is employed to address the consequences of climate change (Masutomi, Takahashi, Harasawa, & Matsuoka, 2009).…”

Section: Farmer's Attitude Toward Adaptation Intentionmentioning

confidence: 99%

Farmer’s Intention on Climate Change Adaptation

Renita

Anindita

2017

AGRISE

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Abstract:The purposes of this research is to describe local knowledge of farmer's perception toward climate change and to analyze farmer's intention toward climate change adaptation based on the theory of planned behavior. The sampling method used is simple random sampling with the population is the farmers in the research location. Data was analyzed using descriptive statistics analysis and also structural equation modelingpartial least square (SEM-PLS) for generating information regarding farners behavior toward climate change. The results showed that 57.5 percent of respondents said that the intensity of rainy season and the temperature were changing significantly and 40 percent respodents also agree that the temperature was getting higher. There was 65% of respondents said that the climate change was driven by deforestration or logging. However, there was 17.5% of respondents said that factories have caused the climate change. Impact of climate change cause increasing pests and diseases attacking paddy crops and decreasing significantly of land productivity. For the structural equation modeling, subjective norm and perceived behavior control infuence positively the intention of farmers' adaptation toward climate change.

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“…Moreover, considerable research into the effects of uncertainty in climate, soil and crop management on crop simulation model outputs has been carried out. In recent years, there have been many studies to assess uncertainty in climate, soil and management (Bouman, 1994;Nonhebel, 1994;Pachepsky and Acock, 1998;Soltani et al, 2004;Fodor and Kovacs, 2005;Masutomi et al, 2009). These studies have contributed greatly to the understanding that (1) the main drivers for the uncertainty in model outputs are climate and soil data, and (2) crop models are sensitive to the variability of temperature and precipitation inputs and spatial scale of climate inputs (Mearns et al, 1997;Semenov and Porter, 1995).…”

Section: Introductionmentioning

confidence: 99%

Effect of uncertainty in temperature and precipitation inputs and spatial resolution on the crop model

Tatsumi

Yamashiki

Takara

2011

Hydrological Research Letters

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Abstract:This study addresses the effect of uncertainty in temperature and precipitation inputs and spatial resolution on crop simulation results for Hungary and Romania. Crop yield and harvested area for maize and winter-wheat were simulated using the improved Global Agro-Ecological Zones model (iGAEZ) for the years 1990-1999 with two climate inputs (Climatic Research Units Global 0.5°C Monthly Time Series, Version 2.1 (CRU TS 2.1) and Meteorological Research Institute Global Climate Model with the 20-km mesh horizontal resolution (MRI-GCM20)). The mean, standard deviation and RMSE of the differences between constraint-free and moisture-limited crop yield demonstrate that uncertainty in temperature and precipitation is a significant cause of the considerable uncertainty on crop simulation results at 0.5-degree grid. This uncertainty decreases when simulation results are spatially aggregated to the country scale. Next, to assess the effects of spatial averaging of climate input data, we performed the crop simulations at 0.5 and 0.25-degree grid using MRI-GCM20. The results showed that the correlation of the simulation results at 0.5-degree and at 0.25-degree grid scale is very weak. It seems that within-grid variability in climatic data significantly affects the crop simulation results. Moreover, the comparison of the Food and Agriculture Organization (FAO) yield statistics with crop simulation results shows that simulation results at 0.25-degree grid are much better than that of 0.5-degree grid.

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Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models

Cited by 186 publications

References 28 publications

Managing Water and Soils to Achieve Adaptation and Reduce Methane Emissions and Arsenic Contamination in Asian Rice Production

Managing Water and Soils to Achieve Adaptation and Reduce Methane Emissions and Arsenic Contamination in Asian Rice Production

Farmer’s Intention on Climate Change Adaptation

Effect of uncertainty in temperature and precipitation inputs and spatial resolution on the crop model

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