GEO DATA

Data Article

A Dataset for Species Distribution Modelling of Mangroves in Vietnam: Based on the National Forest Inventory Monitoring: Sungsoo Yoon, Nguyen Duy Liem, Le Hoang Tu, Nguyen Kim Loi; GEO DATA. 2024;6(3):150-158. Published online September 30, 2024; DOI: https://doi.org/10.22761/GD.2024.0022

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Abstract PDF: Mangroves provides essential ecosystem services such as protection of coastal areas, carbon sequestration, and habitat provision for diverse species in coastal ecosystems. Species distribution models (SDMs) are powerful tools for predicting the potential distribution of mangrove species, which support impact assessments of climate changes on biodiversity and ecological functions of mangrove ecosystems. A comprehensive dataset for mangrove occurrence information derived from the Forest Inventory Map of Vietnam was designed to facilitate the building and projection of SDMs. The prediction data designed for training SDMs integrates ecological information including 701 field survey-based mangrove occurrences at the genus level and 21 environmental variables such as bioclimatic variables, digital elevation model and soil properties with 1 km spatial resolution. The projection data for provide sets of predictors aligned with four shared socioeconomic pathways scenarios representing two future periods to support the projection of SDM results under future climate conditions in Vietnam. This dataset serves as a valuable ecological information resource, enabling the modeling and predicting of potential mangrove habitats and distributions for the protection and restoration of mangroves in Vietnam under changing environmental conditions.

Original Paper

Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar: Dukyeop Kim, Junghyun Lee, Nam-Shin Kim; GEO DATA. 2023;5(4):339-346. Published online December 27, 2023; DOI: https://doi.org/10.22761/GD.2023.0047

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Abstract PDF: The average temperature of the Korean Peninsula over the past 30 years has risen 1.4°C compared to the early 20th century (1912-1941), exceeding the global temperature increase trend. Vegetation responds very sensitively to climate change. Changes in phenological response, such as fall fliage, fruiting time of vascular plants, and appearance of insects, have occurred. Areas around Wando Arboretum, the target area of this study, belongs to the subtropical climate zone. In this study, we aimed to provide basic data for systematic management of biological resources through out the survey of vegetation distribution in the area around Wando Arboretum where warm-temperate plants distribute, using hyperspectral imaging- LiDAR. As a result of converting the classification images of individual information using hyperspectral images and Lidar into objects by vegetation correlation, a total of 27 classifications were confirmed with 18 families, 24 species, and three varieties. In addition, a total of 29,884 individuals were identified.

Articles

Bioclimatic Variables in South Korea under Climate Change SSP Scenario: Man-Seok Shin, Heenam Yoon; GEO DATA. 2021;3(4):57-65. Published online December 31, 2021; DOI: https://doi.org/10.22761/DJ2021.3.4.008

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Abstract PDF: In this study, bioclimatic variables in 2100 were created by using 7 Global Climate Models (GCMs) predicted by the Shared Socioeconomic Pathways (SSP) scenario. Using the dismo package of the R program, 19 bioclimatic variables of the year 2100 were generated. The annual mean temperature in 2100 has risen the most compared to the present (2000). Bioclimatic variables can be mainly used in the Species Distribution Model and Ecological Modeling to predict the distribution of species.

Occurrence data of southern butterflies in South Korea: Hyun Woo Kim, Youngho Cho, Pradeep Adhikari, Ja-Young Jeon, Yong-gu Han, Changwan Seo; GEO DATA. 2020;2(1):1-6. Published online February 18, 2020; DOI: https://doi.org/10.22761/DJ2020.01.01.001

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1 Citations

Abstract PDF

Background
In Northern hemisphere, climate change has shifted the habitats of many species including butterflies into the northern regions. Many researchers in Europe and North America have reported this type of northward shift of butterflies. Thus, we collected the species occurrence data of southern butterflies and presented in this study for understanding the impact of climate change on the southern butterflies in the future.
New information: This study presents the 456 occurrence data of nine southern butterflies under five families in Korea. These data were selected from the 3rd National Ecosystem Survey (NES) conducted by National Institute of Environment Research (NIER) in Korea. Those will be a part of input data for MOTIVE-Ecosystem model, an integrative model to understand the influence of climate change and land cover change on the habitat suitability of sensitive, native and invasive species. These data will be important to the researchers and conservation agencies for understanding the current conditions of southern butterflies and developing conservation policy.

Citations

Citations to this article as recorded by

Northward Range Expansion of Southern Butterflies According to Climate Change in South Korea
Pradeep Adhikari, Ja-Young Jeon, Hyun Woo Kim, Hong-Shik Oh, Prabhat Adhikari, Changwan Seo
Journal of Climate Change Research.2020; 11(6-1): 643. CrossRef

Meteorological and sea surface water measurement data from Icebreaker Research Vessel ARAON for 2010-2019 Arctic research expeditions: Dongseob Shin, Suhwan Kim, HyungGyu Choi, Dongchan Joo; GEO DATA. 2019;1(1):1-6. Published online December 30, 2019; DOI: https://doi.org/10.22761/DJ2019.01.01.001

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Abstract PDF: Despite of its economic and scientific significances with mineral resources, the Northern Sea Routes, and climate change, the Arctic Ocean has been a challenge for long-term continuous environmental observations. Since its inception in 2009, the ice-breaker research vessel ARAON has been conducting an annual expedition in the Arctic Ocean for the last 10 years from 2010. All the Arctic expeditions have been carried out mainly in August-September when the sea ice extent shrinks and the thickness becomes relatively thin around the Bering Sea, Chukchi Sea, Beaufort Sea, and high latitudes over the Russia, the US, and Canada. IBRV ARAON can conduct research activities through a variety of research equipment such as on-board meteorological data and surface temperature & salinity monitoring data of seawater. In this study, meteorological observation elements including solar radiation, air temperature, relative humidity, wind speed, and wind direction are presented. In addition, sea surface water temperature and salinity monitoring elements including water temperature, salinity, conductivity, and sound speed are presented.

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