Jongyeol Lee

Mr. Jongyeol Lee


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 January 2019 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Sea Jin KimSea Jin Kim
Sea Jin Kim
Chul-Hee LimChul-Hee Lim
Chul-Hee Lim
GKGang Sun Kim
Gang Sun Kim
JLJongyeol Lee
Jongyeol Lee
TGTobias Geiger
Tobias Geiger
Woo-Kyun LeeWoo-Kyun Lee
Woo-Kyun Lee
As most of the forest fires in South Korea are related to human activity, socio-economic factors are critical in estimating their probability. To estimate and analyze how human activity is influencing forest fire probability, this study considered not only environmental factors such as precipitation, elevation, topographic wetness index, and forest type, but also socio-economic factors such as population density and distance from urban area. The machine learning Maximum Entropy (Maxent) and Random Forest models were used to predict and analyze the spatial distribution of forest fire probability in South Korea. The model performance was evaluated using the receiver operating characteristic (ROC) curve method, and models’ outputs were compared based on the area under the ROC curve (AUC). In addition, a multi-temporal analysis was conducted to determine the relationships between forest fire probability and socio-economic or environmental changes from the 1980s to the 2000s. The analysis revealed that the spatial distribution was concentrated in or around cities, and the probability had a strong correlation with variables related to human activity and accessibility over the decades. The AUC values for validation were higher in the Random Forest result compared to the Maxent result throughout the decades. Our findings can be useful for developing preventive measures for forest fire risk reduction considering socio-economic development and environmental conditions.

13 June 2017 in Sustainability
Verified
Journal Article
Open access
PDF file
GKGang Sun Kim
Gang Sun Kim
Chul-Hee LimChul-Hee Lim
Chul-Hee Lim
Sea Jin KimSea Jin Kim
Sea Jin Kim
JLJongyeol Lee
Jongyeol Lee
YSYowhan Son
Yowhan Son
Woo-Kyun LeeWoo-Kyun Lee
Woo-Kyun Lee
Afforestation of forests in South Korea may provide an example of the benefit of afforestation on precipitation storage and erosion control. In this study, we presented the effects of afforestation on water supply and soil loss prevention. A spatio-temporal simulation of forest water yield and soil loss was performed from 1971–2010 using InVEST water yield and SWAT models. A forest stock change map was produced by combining land cover data and National Forest Inventory data. The forest water yield increased about twice with changes in forest stock and climate from 1971–2010 and showed a spatially homogeneous water supply capacity. In the same period, the soil loss decreased more than three times, and the volatility of soil loss, in the 2010s, was smaller than before. The analysis of the change in forest stock without considering climate change showed an increase of 43% in forest water yield and a decrease of 87% in soil loss. An increase in precipitation increased the water yield, but also increased the soil loss volume. A change in forest stock led to positive changes in both. This study presents functional positive effects of the afforestation program in South Korea that can be useful in various afforestation programs in other countries.

3 September 2014 in Biogeosciences
Verified
Journal Article
Open access
PDF file
JLJongyeol Lee
Jongyeol Lee
TYTae Kyung Yoon
Tae Kyung Yoon
SHS. Han
S. Han
SKSeongjun Kim
Seongjun Kim
MYM. J. Yi
M. J. Yi
YSYowhan Son
Yowhan Son
Forests play an important role in the global carbon (C) cycle, and the South Korean forests also contribute to this global C cycle. While the South Korean forest ecosystem was almost completely destroyed by exploitation and the Korean War, it has successfully recovered because of national-scale reforestation programs since 1973. There have been several studies on the estimation of C stocks and balances over the past decades in the South Korean forests. However, a retrospective long-term study that includes biomass and dead organic matter C and validates dead organic matter C is still lacking. Accordingly, we estimated the C stocks and their changes of both biomass and dead organic matter C during the 1954–2012 period using a process-based model, the Korean Forest Soil Carbon model, and the 5th South Korean national forest inventory (NFI) report. Validation processes were also conducted based on the 5th NFI and statistical data. Simulation results showed that the biomass C stocks increased from 36.4 to 440.4 Tg C at a rate of 7.0 Tg C yr−1 during the period 1954–2012. The dead organic matter C stocks increased from 386.0 to 463.1 Tg C at a rate of 1.3 Tg C yr−1 during the same period. The estimates of biomass and dead organic matter C stocks agreed well with observed C stock data. The annual net biome production (NBP) during the period 1954–2012 was 141.3 g C m−2 yr−1, which increased from −8.8 g C m−2 yr−1 in 1955 to 436.6 g C m−2 yr−1 in 2012. Because of the small forested area, the South Korean forests had a comparatively lower contribution to the annual C sequestration by global forests. In contrast, because of the extensive reforestation programs, the NBP of South Korean forests was much higher than those of other countries. Our results could provide the forest C dynamics in South Korean forests before and after the onset of reforestation programs.

1 February 2018 in Ecosystem Services
Verified
Journal Article
Open access
JLJongyeol Lee
Jongyeol Lee
CLChul-Hee Lim
Chul-Hee Lim
GKGang Sun Kim
Gang Sun Kim
AMAnil Markandya
Anil Markandya
SCSarwat Chowdhury
Sarwat Chowdhury
YSYowhan Son
Yowhan Son

8 August 2014 in Soil Science Society of America Journal
Verified
Journal Article
Closed access
TYTae Kyung Yoon
Tae Kyung Yoon
NNNam Jin Noh
Nam Jin Noh
SHSaerom Han
Saerom Han
JLJongyeol Lee
Jongyeol Lee
YSYowhan Son
Yowhan Son

5 April 2016 in Annals of Forest Science
Verified
Journal Article
Closed access
PDF file
JLJongyeol Lee
Jongyeol Lee
DTDoğanay Tolunay
Doğanay Tolunay
EMEnder Makineci
Ender Makineci
AÇAydın Çömez
Aydın Çömez
YSYeong Mo Son
Yeong Mo Son
YSYowhan Son
Yowhan Son