• Journal of the Korean Society of Earth Science Education
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• v.3 no.3
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• pp.228-238
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• 2010

The purpose of this study is to examine the effects which applies teaching program that search solution to prevent global warming in middle school gifted class. This program of total 10 class was theoretical and experimental class and the students presented after collecting the synthetic data about climate-change and roleplayed what they debated to firm their country's opinion about Kyoto Protocol. Finally, students as policymaker made mock Kyoto Protocol by discussion. Impression papers and images about climate-changes was made by students in last class. In discussion of making up mock Kyoto Protocol, developed and developing nations had an argument about carbon dioxide emissions because of their economic benefits. In the course of allocating mutual $CO_2$ reduction, they needed yield and negotiation among nations. Although they mainly took passive position about $CO_2$ reduction, atmosphere that all the country make greater effort for the future global environment was formed. Like this, students had more concepts over climate change by making mock Kyoto Protocol. And they could equipped global scientific literacy and responsibility by participating in social decision making process of solving global environmental issues.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.289-301
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• 2011

In this paper an attempt has been made to classify Asia land cover considering climatic and vegetative characteristics. The sub-class clustering based on the 13 MODIS land cover classes (except water) over Asia was performed with the climate map and the NOVI derived from SPOT 5 VGT D10 data. The unsupervised classification for the sub-class clustering was performed in each land cover class, and total 74 clusters were determined over the study area. Via these clusters, the annual variations (from 1999 to 2007) of precipitation rate and temperature were analyzed as an example by a simple linear regression model. The various annual variations (negative or positive pattern) were represented for each cluster because of the various climate zones and NOVI annual cycles. Therefore, the detailed land cover map as the classification result by the sub-class clustering in this study can be useful information in modelling works for requiring the detailed climatic and vegetative information as a boundary condition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.37-45
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• 2018

The purpose of this study was to investigate the impact of a teacher's leadership (initiating and consideration), class climate, and friendship on academic attitudes. In order to accomplish this, 1,533 elementary school students were recruited. Descriptive statistics and path analysis were employed to examine relationships. The major findings of this study are as follows. First, there were positive correlations between academic attitudes and the teacher's leadership, class climate, and friendship. Second, results of path analysis illustrated that a teacher's leadership consideration indicator had a direct impact on class climate, friendship, and academic attitudes. Furthermore, the teacher's leadership consideration indirectly affected academic attitudes through mediation of class climate and friendship. However, the teacher's leadership initiating indicator did not have a direct impact on class climate, friendship, and academic attitude. The indices of the best fit model for these variables were adequate (GFI, NFI, CFI > 0.90). This study shows that the teacher's leadership consideration is the significant predictor for elementary school students' class climate, friendship, and academic attitudes. Finally, the meaning and limitations of this research, and its implications on academic assistance and intervention, are discussed in detail.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.3
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• pp.345-353
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• 2022

This study was conducted to investigate the effect of PBL applied environmental writing class on the climate literacy and environmental sensitivity of 43 5th grade students. To carry out this study, an environmental writing class that applied PBL in the 8th class was developed and applied to examine the effect. The conclusions of this study are as follows. First, the environmental writing class applying PBL had a statistically significant effect on improving the climate literacy of elementary school students. Statistically significant results were found in the cognitive and definitional domains, excluding the sub-domain of climate literacy. Second, the environmental writing class applying PBL has a significant effect on improving the environmental sensitivity of elementary school students. Statistically significant effects were found in all sub-domains of environmental sensitivity, sensitivity, aesthetic sense and emotional stability, and sympathy and compassion. The reason why the environmental writing class applying PBL was able to improve the climate literacy and environmental sensitivity of elementary school students is that students actively participate in the class to solve environmental problems and realize that environmental problems are deeply related to our real lives.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.605-619
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• 2019

This study aimed to examine the mediating roles of self-determined motivations on the effect of class climate perceived by middle school students on self-regulated learning ablility. For this purpose, a total of 589 students were selected as subjects in this research. Structural equation modeling was conducted so as to verify the relationship among all the variables. As a results, first, the perceived autonomous class climate had a direct effect on self-regulated learning ability and an indirect effect on self-regulated learning ability through the mediation effect of identified regulation. Second, the perceived controlled class climate had a direct effect on self-regulated learning ability and an indirect effect on self-regulated learning ability through the mediation effect of identified regulation, introjected regulation, and external regulation. This study implies that facilitating autonomous engagement in learning activities will be a effective educational intervention to improve self-regulated learning ability.

• Journal of Climate Change Research
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• v.6 no.4
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• pp.319-330
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• 2015

This study was carried out to predict the optimal growth site and estimate carbon stocks of Quercus acuta, evergreen broad-leaved trees in warm temperate zone according to climate change. The criterion for the optimal site prediction was created by quantification method with quantitative and qualitative data, collected from growth factors of stands and environmental factors of survey sites of 42 plots in Q. acuta by study relationship between growth of tree and site environmental factors. A program for the optimal site prediction was developed by using GIS engine tools. To prediction of the suitable growth site of Quercus acuta, developed program in this study applied to Wando in Jeollanam-do, distributing a various evergreen bread-leaved trees of warm temperate zone. In the results from analysis of the optimal site prediction on Q. acuta, the characteristics of the optimal site showed as follows; site environmental features of class I (the best site class for Q. acuta) was defined as 401 ~ 500 m of altitude, $21{\sim}25^{\circ}$ of slope with above hillside, residual of deposit convex of slope type with west of aspect. The area and carbon stocks of optimal site prediction by class for Q. acuta in classI showed 147.1 ha (2.5%), total 316.5 tC/ha, total $1,161tCO_2/ha/yr$ of class I, 2,703.5 ha (46.3%), total 5,817.4 tC/ha, total $21,331tCO_2/ha/yr$ of class II, 2,845.5 ha (48.6%), total 6,123.0 tC/ha, total $2,845.5tCO_2/ha/yr$ of class III and 153.7 ha (2.6%), total 330.7 tC/ha, total $1,213.7tCO_2/ha/yr$ of class IV.

• Journal of Climate Change Research
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• v.2 no.1
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• pp.43-54
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• 2011

Recently, due to severe rainfall by the global climate change, natural disasters such as landslide had also been increased rapidly all over the world. Therefore, it has been very necessary to assess vulnerability of landslide and prepare adaptation measures to future climate change. In this study, we employed sensitivity, exposure and adaptative capacity as criteria for assessing the vulnerability of landslide due to climate change. Spatial database for the criteria was constructed using GIS technology. And vulnerability maps on the entire Korea of past and future were made based on the database. As a result, highly vulnerable area for landslide was detected in most area of Gangwon-do, the east of Gyeonggi-do, and southeast of Jeollanam-do, and the southwest of Gyeongsangnam-do. The result of landslide vulnerability depends on time shows that degree of very low class and low class were decreased and degree of moderate, high, and very high were increase from past to the future. Especially, these three classes above low class were significantly increased in the result of far future.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.2
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• pp.86-96
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• 2006

Ecoclimap-1, a new complete surface parameter global database at a 1-km resolution, was previously presented. It is intended to be used to initialize the soil-vegetation- atmosphere transfer schemes in meteorological and climate models. Surface parameters in the Ecoclimap-1 database are provided in the form of a per-class value by an ecoclimatic base map from a simple merging of land cover and climate maps. The principal objective of this ecoclimatic map is to consider intra-class variability of life cycle that the usual land cover map cannot describe. Although the ecoclimatic map considering land cover and climate is used, the intra-class variability was still too high inside some classes. In this study, a new strategy is defined; the idea is to use the information contained in S10 NDVI SPOT/VEGETATION profiles to split a land cover into more homogeneous sub-classes. This utilizes an intra-class unsupervised sub-clustering methodology instead of simple merging. This study was performed to provide a new ecolimatic map over Northeast Asia in the framework of Ecoclimap-2 global database construction for surface parameters. We used the University of Maryland's 1km Global Land Cover Database (UMD) and a climate map to determine the initial number of clusters for intra-class sub-clustering. An unsupervised classification process using six years of NDVI profiles allows the discrimination of different behavior for each land cover class. We checked the spatial coherence of the classes and, if necessary, carried out an aggregation step of the clusters having a similar NDVI time series profile. From the mapping system, 29 ecosystems resulted for the study area. In terms of climate-related studies, this new ecosystem map may be useful as a base map to construct an Ecoclimap-2 database and to improve the surface climatology quality in the climate model.

• Journal of Climate Change Research
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• v.9 no.3
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• pp.223-234
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• 2018

Estimation of future land cover based on climate change scenarios is an important factor in climate change impact assessment and adaptation policy. This study estimated future land cover considering Shared Socioeconomic Pathways (SSP) using Scenario Generators. Based on the storylines of SSP1-3, future population and estimated urban area were adopted for the transition matrix, which contains land cover change trends of each land cover class. In addition, limits of land cover change and proximity were applied as spatial data. According to the estimated land cover maps from SSP1-3 in 2030, 2050, and 2100, respectively, urban areas near a road were expanded, but agricultural areas and forests were gradually decreased. More drastic urban expansion was seen in SSP3 compared to SSP1 and SSP2. These trends are similar with previous research with regard to storyline, but the spatial results were different. Future land cover can be easily adjusted based on this approach, if econometric forecasts for each land cover class added. However, this requires determination of econometric forecasts for each land cover class.

• Journal of Korean Society of Forest Science
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• v.103 no.3
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• pp.446-452
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• 2014

This research aimed to provide a method to estimate growing stock and carbon stock using the characteristics of forest type map such as the age-class, DBH class and crown density class. We transformed the growing stock data of national forest inventory (mainly Kangwon-do province) onto those of time when the forest type map was established. We developed a simulation model for the growing stock using the transformed data and the characteristics of forest type map by the quantification method I. By comparing partial correlation coefficient, we found that quantification of growing stock was largely affected by age-class followed by crown density class, forest type and DBH class. The growing stock, was estimated as minimum in the broadleaved forest with age-class II, DBH class 'Small', and crown density class 'Low' as $20.0m^3/ha$, whereas showed maximum value in the coniferous forest with age-class VI, DBH class 'Large', and crown density class 'High' as $305.0m^3/ha$. The growing stock for coniferous, broadleaved, and mixed forest were estimated as $30.5{\sim}305.0m^3/ha$, $20.0{\sim}200.4m^3/ha$, and $23.8{\sim}238.1m^3/ha$, respectively. When we compared the carbon stock by forest type, the carbon stock by age class based on growing stock was maximum when DBH class was 'Large' and crown density class was 'High' regardless of forest type. This estimation of growing stock by using characteristic of forest type can be used to estimate the changes in growing stock and carbon stock resulting from deforestation or natural disaster. In addition, we hope it provide a useful advice when forest officials and policy makers have to make decisions in regard to forest management.