scholarly journals Study of the independent gametophytes found on Jeju Island in South Korea and the first record of the obligate independent gametophyte of Antrophyum obovatum Baker

2020 ◽  
Vol 10 (14) ◽  
pp. 7826-7838
Author(s):  
Sang Hee Park ◽  
Jung Sung Kim ◽  
Hyoung Tae Kim
Keyword(s):  
South Korea ◽  
First Record ◽  
Jeju Island

First record of Diacanthurus ophthalmicus and Nematopagurus lepidochirus (Decapoda, Anomura, Paguridae) from South Korea

Crustaceana ◽  
2014 ◽  
Vol 87 (14) ◽  
pp. 1668-1677
Author(s):  
Mi Hyang Kim ◽  
Jung Nyun Kim ◽  
Jung Hwa Choi ◽  
In-Soo Seo
Keyword(s):  
South Korea ◽  
Hermit Crab ◽  
First Record ◽  
Jeju Island ◽  
First Time

Two species of pagurid hermit crab, Diacanthurus ophthalmicus (Ortmann, 1892) and Nematopagurus lepidochirus (Doflein, 1902), which were collected in 2013 from 129 m depth, east of Jeju Island, are now recorded from South Korea for the first time. Diacanthurus ophthalmicus and Nematopagurus lepidochirus are the only members of the genera Diacanthurus and Nematopagurus known from South Korea, respectively.

scholarly journals First Record of the Giant Grouper Epinephelus lanceolatus (Perciformes: Serranidae: Epinephelinae) from Jeju Island, South Korea

2013 ◽  
Vol 16 (1) ◽  
pp. 49-52
Author(s):  
Jung-Goo Myoung ◽  
Chung-Bae Kang ◽  
Jae Myung Yoo ◽  
Eun Kyung Lee ◽  
Sung Kim ◽  
...  
Keyword(s):  
South Korea ◽  
First Record ◽  
Jeju Island

First record of Besra (Accipiter virgatus) in South Korea

2019 ◽  
Vol 26 (2) ◽  
pp. 75-78
Author(s):  
Seung-Gu Kang ◽  
Jae-Woong Hwang ◽  
Ji-Yeon Lee ◽  
Dong-Won Kim ◽  
Yu-Seong Choi ◽  
...  
Keyword(s):  
South Korea ◽  
First Record

First Record of the Escolar Lepidocybium flavobrunneum (Perciformes: Gempylidae) from Jeju Island, Korea

2020 ◽  
Vol 32 (1) ◽  
pp. 26-31
Author(s):  
Young Sun Song ◽  
Se Hun Myoung ◽  
Jin-Koo Kim
Keyword(s):  
First Record ◽  
Jeju Island

Shift of nitrate sources in groundwater due to intensive livestock farming on Jeju Island, South Korea: with emphasis on legacy effects on water management

2021 ◽  
pp. 116814
Author(s):  
Seok Hee Kim ◽  
Ho-Rim Kim ◽  
Soonyoung Yu ◽  
Hyun-Ji Kang ◽  
Ik-Hyun Hyun ◽  
...  
Keyword(s):  
Water Management ◽  
South Korea ◽  
Jeju Island ◽  
Legacy Effects ◽  
Livestock Farming ◽  
Nitrate Sources

scholarly journals Comparison of Forest Inventory Methods at Plot-Level between a Backpack Personal Laser Scanning (BPLS) and Conventional Equipment in Jeju Island, South Korea

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 308
Author(s):  
Chiung Ko ◽  
Seunghyun Lee ◽  
Jongsu Yim ◽  
Donggeun Kim ◽  
Jintaek Kang
Keyword(s):  
South Korea ◽  
Forest Inventory ◽  
Laser Scanning ◽  
Jeju Island ◽  
Time Data ◽  
Non Invasive ◽  
Coniferous Plantation ◽  
Standing Trees ◽  
Time Required ◽  
Inventory Method

In recent years, light detection and ranging (LiDAR) has been increasingly utilized to estimate forest resources. This study was conducted to identify the applicability of a LiDAR sensor for such estimations by comparing data on a tree’s position, height, and diameter at breast height (DBH) obtained using the sensor with those by existing forest inventory methods for a Cryptomeria japonica forest in Jeju Island, South Korea. For this purpose, a backpack personal laser scanning device (BPLS, Greenvalley International, Model D50) was employed in a protected forest, where cutting is not allowed, as a non-invasive means, simultaneously assessing the device’s field applicability. The data collected by the sensor were divided into seven different pathway variations, or “patterns” to consider the density of the sample plots and enhance the efficiency. The accuracy of estimating the variables of each tree was then assessed. The time spent acquiring and processing real-time data was also analyzed for each method, as well as total time and the time required for each measurement. The findings showed that the rate of detection of standing trees by LiDAR was 100%. Additionally, a high statistical accuracy was observed in pattern 5 (DBH: RMSE 1.22 cm, bias—0.90 cm, Height: RMSE 1.66 m, bias—1.18 m) and pattern 7 (DBH: RMSE 1.22 cm, bias—0.92 cm, Height: RMSE 1.48 m, bias—1.23 m) compared to the results from the typical inventory method. A range of 115–162.5 min/ha was required to process the data using the LiDAR, while 322.5–567.5 min was required for the typical inventory method. Thus, the application of a backpack personal LiDAR can lead to higher efficiency when conducting a forest resource inventory in a coniferous plantation with understory vegetation. Further research in various stands is necessary to confirm the efficiency of using backpack personal laser scanning.

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