Evaluation of Optimum Rice Heading Period under Recent Climatic Change in Yeongnam Area

Kim, Choon-Song; Lee, Jae-Saeng; Ko, Jong Min; Yun, Eul-Soo; Yeo, Un-Sang; Lee, Jonghee; Kwak, Do‐Yeon; Shin, Mun-Sik; Oh, Byeong-Geun

doi:10.5532/kjafm.2007.9.1.017

Cited by 14 publications

(2 citation statements)

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“…However, it is considered that the domain where rice is mainly cultivated and which is used in this study is a relatively small area comprising the Korean Peninsula and some of Japan and China, and we therefore assume that there will be no significant problem in estimating the indices with this formula. The constant threshold values in Equation have also been used in many studies estimating CYP for rice in the Korean Peninsula (e.g., Son et al , ; Kim et al , ).…”

Section: Model and Datamentioning

confidence: 99%

Agro‐climate changes over Northeast Asia in RCP scenarios simulated by WRF

Ahn

Hong

Shim

2015

Intl Journal of Climatology

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Dynamically downscaled agro-climates for present and future (2071-2100) climates under Representative Concentration Pathways (Historical, RCP4.5, and RCP8.5) in Northeast Asia (118 ∘ -138 ∘ E, 30 ∘ -45 ∘ N) are analysed in terms of the indices, such as vegetable and crop periods, frost days, and the climatic yield potential (CYP) for Japonica type rice (hereafter, rice). The model employed for dynamical downscaling is the Weather Research and Forecasting (WRF), with a 12.5-km horizontal grid spacing in the domain. According to our results, the CYP for rice, one of the major crops presently cultivated in the area, is expected to decrease throughout most of the region, despite a projected expansion of both vegetable and crop periods. This is projected to occur particularly in South Korea, Japan, and Southeast and Northeast China. Such a change is related to the projected rise in temperature within these regions, which will exceed the grain-filling optimum temperature of rice. In contrast, the climate projection of the RCPs is that the CYP will increase over northeastern parts of the Korean Peninsula and the Russian Far Eastern region (Primorsky), because temperatures in these regions are expected to rise and approach the grain-filling optimum temperature. For the RCPs, the optimum heading date, on which the domain averaged CYP is the highest, is expected to be later than that of the Historical by approximately 17-24 days. In addition, the maximum CYP in the RCPs is projected to decrease compared with that of the historical, and the possible period of rice ripening (period in which the CYP is greater than 0) is also expected to decrease.

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Section: Model and Datamentioning

confidence: 99%

Agro‐climate changes over Northeast Asia in RCP scenarios simulated by WRF

Ahn

Hong

Shim

2015

Intl Journal of Climatology

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“…However, the development of rice varieties to prepare for future climate change have been focused on Japonica-type rice in Korea (Park et al, 2017(Park et al, , 2018Jeong et al, 2019) because Koreans prefer Japonica-type rice (Choi, 2002;Park et al, 2017Park et al, , 2018. Therefore, these parameters in Equation 1have been used in many recent studies that estimated CYP for Japonica-type rice in South Korea (e.g., Son et al, 2002;Kim et al, 2007;Seo et al, 2010;Lee et al, 2014;Ahn et al, 2016). If CYP of the heading dates is larger than 0, the temperatures and sunlight that are given for 40 days after the heading date are suitable for ripening of the rice.…”

Section: Model and Datamentioning

confidence: 99%

Climatic yield potential of Japonica‐type rice in the Korean Peninsula under RCP scenarios using the ensemble of multi‐GCM and multi‐RCM chains

Ahn

Kim

Shim

et al. 2020

Intl Journal of Climatology

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Rice production in the Korean Peninsula (KP) in the near future (2021-2050) is analysed in terms of the climatic yield potential (CYP) index for Japonicatype rice. Data obtained from the dynamically downscaled daily temperature and sunshine duration for the Historical period (1981-2010) and near future under two Representative Concentration Pathway (RCP4.5 and RCP8.5) scenarios are utilized. To reduce uncertainties that might be induced by using a Coupled General Circulation Model (CGCM)-a Regional Climate Model (RCM) chain in dynamical downscaling, two CGCM-three RCM chains are used to estimate the CYP index. The results show that the mean rice production decreases, mainly due to the increase of the temperature during the grainfilling period (40 days after the heading date). According to multi model ensemble, the optimum heading date in the near future will be approximately 12 days later and the maximum CYP will be even higher than in the Historical. This implies that the rice production is projected to decrease if the heading date is selected based on the optimum heading date of Historical, but to increase if based on that of near future. The mean rice production during the period of ripening is projected to decrease (to about 95% (RCP4.5) and 93% (RCP8.5) of the Historical) in the western and southern regions of the KP, but to increase (to about 104% (RCP4.5) and 106% (RCP8.5) of the Historical) in

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