• Title/Summary/Keyword: Fragstats 4.0

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Spatial Fragmentation Analysis of Upland Fields Using Farm Manager Registration Information (농업경영체 등록정보를 활용한 밭 경작지의 공간적 파편화 특성 분석)

  • Lee, Jimin;Yoo, Seung-Hwan;Oh, Yun-Gyeong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.2
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    • pp.13-24
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    • 2018
  • As food consumption pattern changes (reduced rice consumption and increased consumption of fresh vegetables), managing upland fields became a greater priority. However, the agricultural infrastructure projects have been focused on rice farming, and the infrastructure level to support dry fields cultivation is insufficient. The purpose of this study was to spatial distribution analysis of these dry fields with farm manager registration information. Using FRAGSTATS, we analyzed landscape indices (TA/CA, NP, PD, LSI, LPI, PLADJ, COHESION, CONNECT, AI) of farmlands in which farmers in 13 regions (Si or Gun) cultivated dry-field crops. As results of this analysis, the total area of the fields in Naju-si, Hampyeong-gun and Suncheon-si were found to be wider, but the average area of a patch in Youngam-gun, Hampyeong-gun and Jangseong-gun were wider than other regions. On average, each farmer had farmlands containing of 1.7~2.4 patches and cultivated crops in fields of 0.2~0.5 ha. Farmlands of Hampyeong-gun, Youngam-gun, Naju-si showed high values in adjacency indices, however the farmlands of Suncheon and Gwangyang showed fragmented distribution with low values in adjacency indices. These results of fragmentation analysis of farmlands could be used when we establish the plan of an agricultural infrastructure project or select places for a collaborative agricultural management business promotion project.

A Study on the Urban Fringe Landscape Environment Model- The Analysis of Change in Forest Structure of Chonan city- (도농통합지역의 녹지환경정비모델에 관한 연구II -천안의 녹지구조변화를 중심으로-)

  • 심우경;이진희;김훈희
    • Journal of the Korean Institute of Landscape Architecture
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    • v.26 no.4
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    • pp.105-112
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    • 1999
  • Landcover change is an important factor that changes structure and function of regional ecosystem. As the rise of concern on environment quality, many studies are trying to quantify and evaluate the landsacpe in recent days. In this study, using landscape indices with RS(Remote Sensing) and GIS(Geographic Information System) technology, spatio-temporal variations of areas and distribution of forest patches were examined in the Chonan from 1985 to 1996. Fragstats 2.0 was employed to analyze and compute 31 landscape indices from 52 landcover maps. A result of this study showed that area of forest and paddy decreased as a result of urban sprawl. Especially from 1993 to 1996, the change of land use progressed rapidly because of merging a city and a country in Chonan. The size of patch in forest had been smaller and irregular form, heterogeneity of size of forest patches within sub-basin increased, and variety of patch types around forest patches increased from 1985 to 1996.

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Development and Application of Landscape Diversity Evaluation Model on the Basis of Rural and Natural Area (농촌 및 자연지역의 경관 다양성 평가모형 개발 및 적용)

  • Ra, Jung-Hwa;Lee, Yong-Eun;Cho, Hyun-Ju;Ku, Ji-Na;Kwon, Oh-Sung
    • Journal of the Korean Institute of Landscape Architecture
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    • v.41 no.6
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    • pp.84-95
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    • 2013
  • Recently, to prevent damage to the landscape, outstanding landscape areas have been designated in advance. In particular, as a fundamental way to evaluate landscape elements, landscape diversity is an important criterion to assess an area with a high conservative value. Therefore, the purpose of this study is to develop a quantitative evaluation model of landscape diversity based on landscape elements and to verify the model by applying it to the study sites. The assessment indicators derived from the literature analysis are topography, vegetation, land-use pattern, and unusual landscape. Topography diversity is subdivided into land undulation and land-form. Vegetation diversity is subdivided into plant community diversity and stratification diversity. To quantitatively analyse each indicator's diversity, SHDI was selected as the central metric. All of the quantitative measures were implemented by using the statistical tool, FRAGSTATS. Through the process of each indicator's standardization and summary, the final landscape diversity index was calculated. The results of the study are significant as it was the initial study of landscape diversity evaluation to seek applicability. However, the results of the Landscape Diversity Evaluation Model in this study based on 4 indicators synthetically demonstrate that more than one or two outstanding indicators can be underrated. Therefore, each 4 assessment indicator results should be considered individually. Furthermore, using the maximum value for each indicator's standardization reflects that it is necessary to analyse various examples to obtain higher objectivity later.

Analysis of Spatial Changes in the Forest Landscape of the Upper Reaches of Guem River Dam Basin according to Land Cover Change (토지피복변화에 따른 금강 상류 댐 유역 산림 경관의 구조적 변화 분석)

  • Kyeong-Tae Kim;Hyun-Jung Lee;Whee-Moon Kim;Won-Kyong Song
    • Korean Journal of Environment and Ecology
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    • v.37 no.4
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    • pp.289-301
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    • 2023
  • Forests within watersheds are essential in maintaining ecosystems and are the central infrastructure for constructing an ecological network system. However, due to indiscriminate development projects carried out over past decades, forest fragmentation and land use changes have accelerated, and their original functions have been lost. Since a forest's structural pattern directly impacts ecological processes and functions in understanding forest ecosystems, identifying and analyzing change patterns is essential. Therefore, this study analyzed structural changes in the forest landscape according to the time-series land cover changes using the FRAGSTATS model for the dam watershed of the Geum River upstream. Land cover changes in the dam watershed of the Geum River upstream through land cover change detection showed an increase of 33.12 square kilometers (0.62%) of forests and 67.26 square kilometers (1.26%) of urbanized dry areas and a decrease of 148.25 square kilometers (2.79%) in agricultural areas from the 1980s to the 2010s. The results of no-sampling forest landscape analysis within the watershed indicated landscape percentage (PLAND), area-weighted proximity index (CONTIG_AM), average central area (CORE_MN), and adjacency index (PLADJ) increased, and the number of patches (NP), landscape shape index (LSI), and cohesion index (COHESION) decreased. Identification of structural change patterns through a moving window analysis showed the forest landscape in Sangju City, Gyeongsangbuk Province, Boeun County in Chungcheongbuk Province, and Jinan Province in Jeollabuk Province was relatively well preserved, but fragmentation was ongoing at the border between Okcheon County in Chungcheongbuk Province, Yeongdong and Geumsan Counties in Chungcheongnam Province, and the forest landscape in areas adjacent to Muju and Jangsu Counties in Jeollabuk Province. The results indicate that it is necessary to establish afforestation projects for fragmented areas when preparing a future regional forest management strategy. This study derived areas where fragmentation of forest landscapes is expected and the results may be used as basic data for assessing the health of watershed forests and establishing management plans.