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Estimating Carbon Fixation of 14 Crops in Korea  

Kim, Gun-Yeob (National Academy of Agricultural Science(NAAS), RDA)
Ko, Byong-Gu (National Academy of Agricultural Science(NAAS), RDA)
Jeong, Hyun-Cheol (National Academy of Agricultural Science(NAAS), RDA)
Roh, Kee-An (National Academy of Agricultural Science(NAAS), RDA)
Shim, Kyo-Moon (National Academy of Agricultural Science(NAAS), RDA)
Lee, Jeong-Taek (National Academy of Agricultural Science(NAAS), RDA)
Lee, Deog-Bae (National Academy of Agricultural Science(NAAS), RDA)
Hong, Suk-Young (National Academy of Agricultural Science(NAAS), RDA)
Kwon, Soon-Ik (National Academy of Agricultural Science(NAAS), RDA)
Publication Information
Korean Journal of Soil Science and Fertilizer / v.42, no.6, 2009 , pp. 460-466 More about this Journal
Abstract
Carbon fixation and density of crops are important to estimate carbon uptake or emission by agricultural production activities and to establish life cycle inventory of crops for assessment of climate change impact. In this study, regional carbon fixation and density in each part of 14 crops, harvest index, and ratio of aboveground to underground were investigated to estimate biomass of 14 crops in Korea by using agricultural statistics data. Biomass yield of potato was $16.5ton\;ha^{-1}$, which was the highest, and those of rice, sweet potato, and garlic were $10.5ton\;ha^{-1}$, $8.7ton\;ha^{-1}$, and $7.5ton\;ha^{-1}$ respectively. Biomass yield of Green onion was the lowest as $2.8ton\;ha^{-1}$. Carbon density of 14 crops were in the order of potato ($6.4ton\;ha^{-1}$), rice ($4.2ton\;ha^{-1}$), sweet potato ($3.4ton\;ha^{-1}$), rape ($2.9ton\;ha^{-1}$) and garlic ($2.8ton\;ha^{-1}$). Regional distribution of carbon contents for each crop mapped revealed that carbon fixation of rice, soybean, sesame, garlic, and green onion were the highest in Jeonnam province, barley, red pepper, and watermelon in Gyeongnam, perilla in Chungnam, peanut in Gyeongbuk, rape and carrot in Jeju, sweet potato in Gyeonggi, potato in Gangwon. The results can be applied for assessing life cycle inventory of crops and crop productivity using remotely sensed data.
Keywords
Carbon fixation; Carbon density; Agricultural statistics;
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