Comparative assessment of net CO 2 exchange across an urbanization gradient in Korea based on eddy covariance measurements

It is important to quantify changes in CO sources and sinks with land use and land cover change. In the last several decades, carbon sources and sinks in East Asia have been altered by intensive land cover changes due to rapid economic growth and related urbanization. To understand impact of urbaniz...

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Veröffentlicht in:Carbon balance and management 2019-09, Vol.14 (1), p.13
Hauptverfasser: Hong, Je-Woo, Hong, Jinkyu, Chun, Junghwa, Lee, Yong Hee, Chang, Lim-Seok, Lee, Jae-Bum, Yi, Keewook, Park, Young-San, Byun, Young-Hwa, Joo, Sangwon
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container_start_page 13
container_title Carbon balance and management
container_volume 14
creator Hong, Je-Woo
Hong, Jinkyu
Chun, Junghwa
Lee, Yong Hee
Chang, Lim-Seok
Lee, Jae-Bum
Yi, Keewook
Park, Young-San
Byun, Young-Hwa
Joo, Sangwon
description It is important to quantify changes in CO sources and sinks with land use and land cover change. In the last several decades, carbon sources and sinks in East Asia have been altered by intensive land cover changes due to rapid economic growth and related urbanization. To understand impact of urbanization on carbon cycle in the monsoon Asia, we analyze net CO exchanges for various land cover types across an urbanization gradient in Korea covering high-rise high-density residential, suburban, cropland, and subtropical forest areas. Our analysis demonstrates that the urban residential and suburban areas are constant CO sources throughout the year (2.75 and 1.02 kg C m  year at the urban and suburban sites), and the net CO emission indicate impacts of urban vegetation that responds to the seasonal progression of the monsoon. However, the total random uncertainties of measurement are much larger in the urban and suburban areas than at the nonurban sites, which can make it challenging to obtain accurate urban flux measurements. The cropland and forest sites are strong carbon sinks because of a double-cropping system and favorable climate conditions during the study period, respectively (- 0.73 and - 0.60 kg C m  year at the cropland and forest sites, respectively). The urban area of high population density (15,000 persons km ) shows a relatively weak CO emission rate per capita (0.7 t CO  year  person ), especially in winter because of a district heating system and smaller traffic volume. The suburban area shows larger net CO emissions per capita (4.9 t CO  year  person ) because of a high traffic volume, despite a smaller building fraction and population density (770 persons km ). We show that in situ flux observation is challenging because of its larger random uncertainty and this larger uncertainty should be carefully considered in urban studies. Our findings indicate the important role of urban vegetation in the carbon balance and its interaction with the monsoon activity in East Asia. Urban planning in the monsoon Asia must consider interaction on change in the monsoon activity and urban structure and function for sustainable city in a changing climate.
doi_str_mv 10.1186/s13021-019-0128-6
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In the last several decades, carbon sources and sinks in East Asia have been altered by intensive land cover changes due to rapid economic growth and related urbanization. To understand impact of urbanization on carbon cycle in the monsoon Asia, we analyze net CO exchanges for various land cover types across an urbanization gradient in Korea covering high-rise high-density residential, suburban, cropland, and subtropical forest areas. Our analysis demonstrates that the urban residential and suburban areas are constant CO sources throughout the year (2.75 and 1.02 kg C m  year at the urban and suburban sites), and the net CO emission indicate impacts of urban vegetation that responds to the seasonal progression of the monsoon. However, the total random uncertainties of measurement are much larger in the urban and suburban areas than at the nonurban sites, which can make it challenging to obtain accurate urban flux measurements. The cropland and forest sites are strong carbon sinks because of a double-cropping system and favorable climate conditions during the study period, respectively (- 0.73 and - 0.60 kg C m  year at the cropland and forest sites, respectively). The urban area of high population density (15,000 persons km ) shows a relatively weak CO emission rate per capita (0.7 t CO  year  person ), especially in winter because of a district heating system and smaller traffic volume. The suburban area shows larger net CO emissions per capita (4.9 t CO  year  person ) because of a high traffic volume, despite a smaller building fraction and population density (770 persons km ). We show that in situ flux observation is challenging because of its larger random uncertainty and this larger uncertainty should be carefully considered in urban studies. Our findings indicate the important role of urban vegetation in the carbon balance and its interaction with the monsoon activity in East Asia. 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The cropland and forest sites are strong carbon sinks because of a double-cropping system and favorable climate conditions during the study period, respectively (- 0.73 and - 0.60 kg C m  year at the cropland and forest sites, respectively). The urban area of high population density (15,000 persons km ) shows a relatively weak CO emission rate per capita (0.7 t CO  year  person ), especially in winter because of a district heating system and smaller traffic volume. The suburban area shows larger net CO emissions per capita (4.9 t CO  year  person ) because of a high traffic volume, despite a smaller building fraction and population density (770 persons km ). We show that in situ flux observation is challenging because of its larger random uncertainty and this larger uncertainty should be carefully considered in urban studies. Our findings indicate the important role of urban vegetation in the carbon balance and its interaction with the monsoon activity in East Asia. 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title Comparative assessment of net CO 2 exchange across an urbanization gradient in Korea based on eddy covariance measurements
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