Studies from Apec Climate Center Yield New Data on Risk Management (Climate Risk Management for the Rainfed Rice Yield In Lao Pdr Using Apcc Mme Seasonal Forecasts): Risk Management

2023 JAN 20 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A new study on Risk Management is now available. According to news reporting originating in Busan, South Korea, by NewsRx journalists, research stated, “The tailored process-based crop model equipped with seasonal climate forecasts have been a useful tool for managing agricultural risks from climatic variability. In this study, we provided a risk management framework for a rainfed paddy rice field in Savannakhet province of Lao People’s Democratic Republic (PDR) that allows achieving the national target yield (5.0Mg ha-1) under climatic uncertainty.”

Financial supporters for this research include APEC Climate Center, Ministry of Science & ICT (MSIT), Republic of Korea.

The news reporters obtained a quote from the research from Apec Climate Center, “We collected the multi-model ensemble (MME) tercile hindcasts of 3-month (September to November, SON) and 5-month (July to November, JASON) rainfall for 1991-2010 from the international collaborative archive of the APEC Climate Center (APCC). The monthly probabilistic hindcasts were temporally downscaled by a stochastic weather generator to daily meteorological inputs for the CERES-Rice crop model. Then, the lowland rainfed rice yields at the field scale were simulated by the process-based crop model with different nitrogen (N) fertilizing strategies, and compared the outcomes against the observed rice yields. The results showed that the simulated rice yields from the 3-month hindcasts with the N-fertilizer application rate of level 1 (60 kg ha-1) were closer to the observed than those from the 5-month hindcasts. About 3.05Mg ha-1 of rice yields were estimated under the 3 -month seasonal forecasts in 2020 with the N-fertilizer application rate. We found that additional 40 kg ha-1 of N -fertilizer rate may be required to achieve the national target rice yield (5.0Mg ha-1) under climatic uncertainty conditioned by the seasonal forecasts.”

According to the news reporters, the research concluded: “We also suggest that the proposed crop modeling approach underpinned by seasonal climate forecasts can be useful to reduce impacts of climate variability on rice yield by providing various agricultural management practices.”

This research has been peer-reviewed.

For more information on this research see: Climate Risk Management for the Rainfed Rice Yield In Lao Pdr Using Apcc Mme Seasonal Forecasts. Agricultural Water Management, 2022;274. Agricultural Water Management can be contacted at: Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Agricultural Water Management - http://www.journals.elsevier.com/agricultural-water-management/)

Our news correspondents report that additional information may be obtained by contacting Jong Ahn Chun, Apec Climate Center, 12 Centum 7 Ro, Busan 48058, South Korea. Additional authors for this research include Sugyeong Park, Daeha Kim and Mounlamai Sitthikone.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.agwat.2022.107976. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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