• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.23 no.4
• /
• pp.47-58
• /
• 2020

This study was done to evaluate resources distributed around the Nakdong-Jeongmaek which is the eastern ridge line of the Nakdong-river basin with 437km in length. Here we found and/or searched for thousands of resources within each of 210 villages around the ridge, which were divided into six categories including landscape, natural park, protected area, history, tourism and biodiversity. An inventory was also created using an attribute table in a shape file for identifying the spatial location and property for every resource existing in each village. Each of fields for six-typed resources has 210 records representing each village and resources within it. If a resource exists in a village, '1' is assigned for its existence in its corresponding record. Otherwise, '0' is assigned for its non-existence in the record. The number of '1' on six records for a village is meaning the number of resources contained within a village, which can be a barometer to decide the properties of each village. In this study, we found five core villages containing all kind of resources in it, while 52 villages were found having only a single type of resources within it. The other villages were known to have multiple resources like having two or more ones.

• Korean Journal of Remote Sensing
• /
• v.37 no.2
• /
• pp.245-256
• /
• 2021

This study was conducted to identify the applicability of a LiDAR sensor to forest resources inventories by comparing data on a tree's position, height, and DBH obtained by the sensor with those by existing forest inventory methods, for the tree species of Criptomeria japonica in Jeolmul forest in Jeju, South Korea. To this end, a backpack personal LiDAR (Greenvalley International, Model D50) was employed. To facilitate the process of the data collection, patterns of collecting the data by the sensor were divided into seven ones, considering the density of sample plots and the work efficiency. Then, the accuracy of estimating the variables of each tree was assessed. The amount of time spent on acquiring and processing the data by each method was compared to evaluate the efficiency. The findings showed that the rate of detecting standing trees by the LiDAR was 100%. Also, the high statistical accuracy was observed in both Pattern 5 (DBH: RMSE 1.07 cm, Bias -0.79 cm, Height: RMSE 0.95 m, Bias -3.2 m), and Pattern 7 (DBH: RMSE 1.18 cm, Bias -0.82 cm, Height: RMSE 1.13 m, Bias -2.62 m), compared to the results drawn in the typical inventory manner. Concerning the time issue, 115 to 135 minutes per 1ha were taken to process the data by utilizing the LiDAR, while 375 to 1,115 spent in the existing way, proving the higher efficiency of the device. It can thus be concluded that using a backpack personal LiDAR helps increase efficiency in conducting a forest resources inventory in an planted coniferous forest with understory vegetation, implying a need for further research in a variety of forests.

• Korean Journal of Plant Resources
• /
• v.28 no.4
• /
• pp.487-510
• /
• 2015

This study was carried out to inventory the vascular plant flora in Deokjeokdo and its adjacent regions (Mungapdo, Soyado), Ongjin-gun, South Korea, from April to October 2014. Based on the voucher specimens, vascular plants in this area consisted of 108 families, 362 genera, 578 species, 5 subspecies, 66 varieties and 4 forms, totally 653 taxa. In the flora of this area, 5 taxa of Korean endemic plants were found distributed in the sites, including Hepatica insularis Nakai and Asarum glabrata (C.S.Yook & J.G.Kim) B.U.Oh. Korean rare and endangered plants found in this area were 1 taxa of Critical Endangered Species (CR) and 5 taxa of Vulnerable Species (VU). The floristic regional indicator plants found in this area were 67 taxa comprising 3 taxa of grade V, 2 taxa of grade IV, 12 taxa of grade III, 3 taxa of grade II and 47 taxa of grade I. Naturalized plants consisted of 67 taxa, such as Chenopodium album L. and Erigeron annuus (L.) Pers. were recognized widely distributed in the area.

• Journal of Climate Change Research
• /
• v.9 no.4
• /
• pp.385-398
• /
• 2018

Although the importance of developing reliable and systematic GHG inventory has increased, the GIS/RS-based national scale LULUCF (Land Use, Land-Use Change and Forestry) sector analysis is insufficient in the context of the Paris Agreement. In this study, the change in $CO_2$ storage of forest land due to land use change is estimated using two GIS/RS methodologies, Sampling and Wall-to-Wall methods, from 2000 to 2010. Particularly, various imagery with sampling data and land cover maps are used for Sampling and Wall-to-Wall methods, respectively. This land use matrix of these methodologies and the national cadastral statistics are classified by six land-use categories (Forest land, Cropland, Grassland, Wetlands, Settlements, and Other land). The difference of area between the result of Sampling methods and the cadastral statistics decreases as the sample plot distance decreases. However, the difference is not significant under a 2 km sample plot. In the 2000s, the Wall-to-Wall method showed similar results to sampling under a 2 km distance except for the Settlement category. With the Wall-to-Wall method, $CO_2$ storage is higher than that of the Sampling method. Accordingly, the Wall-to-Wall method would be more advantageous than the Sampling method in the presence of sufficient spatial data for GHG inventory assessment. These results can contribute to establish an annual report system of national greenhouse gas inventory in the LULUCF sector.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.22 no.3
• /
• pp.215-231
• /
• 2020

Forest landscape models (FLMs) can be used to investigate the complex interactions of various ecological processes and patterns, which makes them useful tools to evaluate how environmental and anthropogenic variables can influence forest ecosystems. However, due to the large spatio-temporal scales in FLMs studies, parameterization and validation can be extremely challenging when applying to new study areas. To address this issue, we focused on the parameterization and application of a spatially explicit forest landscape model, LANDIS-II, to Mt. Gyebang, South Korea, with the use of the National Forest Inventory (NFI) and long-term ecological research (LTER) site data. In this study, we present the followings for the biomass succession extension of LANDIS-II: 1) species-specific and spatial parameters estimation for the biomass succession extension of LANDIS-II, 2) calibration, and 3) application and validation for Mt. Gyebang. For the biomass succession extension, we selected 14 tree species, and parameterized ecoregion map, initial community map, species growth characteristics. We produced ecoregion map using elevation, aspect, and topographic wetness index based on digital elevation model. Initial community map was produced based on NFI and sub-alpine survey data. Tree species growth parameters, such as aboveground net primary production and maximum aboveground biomass, were estimated from PnET-II model based on species physiological factors and environmental variables. Literature data were used to estimate species physiological factors, such as FolN, SLWmax, HalfSat, growing temperature, and shade tolerance. For calibration and validation purposes, we compared species-specific aboveground biomass of model outputs and NFI and sub-alpine survey data and calculated coefficient of determination (R²) and root mean square error (RMSE). The final model performed very well, with 0. 98 R² and 8. 9 RMSE. This study can serve as a foundation for the use of FLMs to other applications such as comparing alternative forest management scenarios and natural disturbance effects.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.25 no.3
• /
• pp.1-16
• /
• 2022

The purpose of this study is to quantitatively evaluate the amount of carbon storage for trees in forest ecosystem to support the foundation for carbon neutrality implementation in Korea National Park. It targeted 22 national parks designated and managed as national parks in Korea, and conducted research on forest trees in the terrestrial ecosystem among various natural and ecological carbon sink. The survey and analysis method followed the IPCC guidelines and the National Greenhouse Gas Inventory in Korea. The amount of tree carbon storage in the forest ecosystem of Korea National Park was confirmed to be about 218,505 thousand CO₂-ton and the amount of carbon storage per unit area was 570.8 CO₂-ton per hectare. Compared to 299.7 CO₂-ton per hectare, the average carbon storage per unit area of the entire Korean forest, it was found that about twice as much carbon was stored when assuming the same area. In other words, it means that the tree carbon storage function of the national park is about twice as high as that of the average tree carbon storage function of entire Korean forest. It has great implications in Korea National Park not only provides biodiversity promotion and exploration services as a national protected area, but also performs excellent functions as a carbon sink.

• Mycobiology
• /
• v.49 no.6
• /
• pp.551-558
• /
• 2021

The Federated States of Micronesia (FSM) is an island country in the western Pacific and is a known biodiversity hotspot. However, a relatively small number of fungi (236 species) have been reported till July 2021. Since fungi play major ecological roles in ecosystems, we investigated the fungal diversity of FSM from various sources over 2016 and 2017 and constructed a local fungal inventory, which also included the previously reported species. Fruiting bodies were collected from various host trees and fungal strains were isolated from marine and terrestrial environments. A total of 99 species, of which 78 were newly reported in the FSM, were identified at the species level using a combination of molecular and morphological approaches. Many fungal species were specific to the environment, host, or source. Upon construction of the fungal inventory, 314 species were confirmed to reside in the FSM. This inventory will serve as an important basis for monitoring fungal diversity and identifying novel biological resources in FSM.

• Journal of Korean Society of Forest Science
• /
• v.88 no.1
• /
• pp.63-72
• /
• 1999

In this study, a relational database program to manage the data involved in forest planning was developed in such a way to simulate the whole process of 'Younglim' planning in Korean National Forest System. Using the pull-down menu system of various functions required for developing 'Younglim' plan, the database program can handle the data of forest inventory, 10-year working plans, annual working plans and the history of forest operations automatically and simultaneously. The model was designed to run under the environment of Korean version of Windows 95. Visual Basic 5.0 was used as the basic tool for programming and Microsoft ACCESS as the basic engine of the database system. In this paper, the process of designing the structure of database program following the process of 'Younglim' plan and the structure of the model are discussed. In addition, the functions of menu system are presented using the screen-mode output windows of the model.

• Korean Journal of Remote Sensing
• /
• v.35 no.6_2
• /
• pp.1053-1065
• /
• 2019

Land use statistics calculation is very informative data as the activity data for calculating exact carbon absorption and emission in post-2020. To effective interpretation by land use category, This study classify automatically image interpretation by land use category applying forest aerial photography (FAP) to deep learning model and calculate national unit statistics. Dataset (DS) applied deep learning is divided into training dataset (training DS) and test dataset (test DS) by extracting image of FAP based national forest resource inventory permanent sample plot location. Training DS give label to image by definition of land use category and learn and verify deep learning model. When verified deep learning model, training accuracy of model is highest at epoch 1,500 with about 89%. As a result of applying the trained deep learning model to test DS, interpretation classification accuracy of image label was about 90%. When the estimating area of classification by category using sampling method and compare to national statistics, consistency also very high, so it judged that it is enough to be used for activity data of national GHG (Greenhouse Gas) inventory report of LULUCF sector in the future.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.17 no.2
• /
• pp.93-108
• /
• 2014

The inventory list of wildlife species inhabiting or distributing in Gyeonggi Province was made by compiling species data from precedent surveys, 10 national level nature surveys, 1 survey that Gyeonggi-do conducted, and 46 local surveys presented in scientific journals. Total 2,913 wildlife species including 2,041 vascular plants, 39 mammals, 304 birds, 34 herptiles, 145 fish, and 350 benthic macro-invertebrates were listed in the inventory. It explains 47% of nationwide total species in vascular plants, 31.5% in mammals, 58.2% in birds, 65.4% in herptiles, 12.2% in fish. The total number of important species including endangered species, national monuments, national red lists, etc. was 628 species, accounting for 21.6% of all listed species in Gyeonggi Province. More than 90% of endangered bird species, almost half of endangered fish and herptile species were found in Gyeonggi Province. In particular, abundant bird diversity and inhabitation of many endangered bird species were identified in Gyeonggi Province. Species diversity was greater in the northern area adjacent to the Demilitarized Zone and the eastern forest area. The distribution of the important species such as national endangered species was more distinct in these areas, especially in Gapyeong and Yeoncheon Counties. The inventory list compiled in this study implicates the level of management for biological resources and can provide information for policy decisions regarding new survey sites, protection management of specific species and areas, management practices by spatial characteristics. It should be more compiled and updated with survey data to be utilized as basic indices for local biodiversity strategies and management of biological resources.