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Geographical Shift of Quality Soybean Production Area in Northern Gyeonggi Province by Year 2100  

Seo, Hee-Cheol (Department of Ecosystem Engineering, Kyung Hee University)
Kim, Seong-Ki (Northern Agriculture Research Station, Gyeonggi Agricultural Research and Extension Service)
Lee, Young-Soo (Northern Agriculture Research Station, Gyeonggi Agricultural Research and Extension Service)
Cho, Young-Cheol (Northern Agriculture Research Station, Gyeonggi Agricultural Research and Extension Service)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.8, no.4, 2006 , pp. 242-249 More about this Journal
Abstract
Potential impacts of the future climate change on crop production can be inferred by crop simulations at a landscape scale, if the climate data may be provided at appropriate spatial scales. Northern Gyunggi Province is one of the few prospective regions in South Korea for growing quality soybeans. Any geographical shift of production areas under the changing climate may influence the current land planning policy in this region. A soybean growth simulation was performed at 342 land units in northern Gyunggi province to test the potential geographical shift of the current production areas for quality soybeans in the near future (form 2011 to 2100). The land units for soybean cultivation were selected by the land use, the soil characteristics, and the minimum arable land area. Daily maximum and minimum temperature, precipitation, the number of rain days and solar radiation were extracted for each land unit from the future digital climate models (DCM, 2011-2040, 2041-2070, 2071-2100). Daily weather data for 30 years were randomly generated for each land unit for each normal year by using a well-known statistical method. They were used to run CROPGRO-Soybean model to simulate the growth, phonology, and yields of 3 cultivars representing different maturity groups grown at 342 land units. According to the model calculations, the warming trend in this region will accelerate the flowering and physiological maturity of all cultivars, resulting in a 7 to 9 days reduction in overall growing season and a 1 to 15% reduction in grain yield of early to medium maturity cultivars. There was a slight increase in grain yield of the late maturing cultivar under the projected climate by 2070, but a decreasing tend was dominant by the year 2100.
Keywords
Soybean; Growth simulation; Climate change; CROPGRO;
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