• Title/Summary/Keyword: 재배적지

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Using a GIS-driven Climatology for Site Selection : Application to Apple Industry (수치기후도를 이용한 고품질 사과 재배적지 탐색)

  • 신용억;김점국;서형호;조명동;정유란;윤진일
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2003.09a
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    • pp.3-6
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    • 2003
  • 사과의 품질에 미치는 기상의 영향은 재배농가의 경험과 정량적인 실험을 통해 잘 알려져 있지만, 이를 현장에 적용하여 재배적지를 탐색하기 위해서는 첫째, 지역의 기후가 구석구석 정확하게 밝혀져야 하고, 둘째, 기후자료를 적절히 관리할 수 있는 데이터베이스 시스템이 필요하며, 셋째, 기후자료를 활용하여 재배적지를 정밀하게 탐색할 수 있는 의사지원시스템이 필요하다.(중략)

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Detection of Suitable Sites for Effective Cultivation of Morus alba L. (뽕나무의 효과적 재배를 위한 적지 탐색)

  • Kim, Hyun;Kim, Hyun-Jun;Choi, Soo-Min;Kang, Hag-Mo;Lee, Sang-Hyun
    • Journal of agriculture & life science
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    • v.46 no.1
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    • pp.9-16
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    • 2012
  • This study was conducted to scientifically analyze on the trends of cultivation area and production, and to detect the suitable site for Morus alba cultivation in forest of Buan-gun for effective cultivation. During last 3 years, the cultivation area of M. alba has steadily been increased, and the mulberry production of Jeollabuk-do has been researched as the greatest in Korea. Especially Buan-gun has the largest cultivation area of M. alba. On the other hand, as the result of detecting the suitable site for M. alba cultivation by factors of altitude, aspect, slope, soil texture, and organism content using GIS, there was the 663 ha suitable site of the total of 16,608 ha. In this area, Byeonsan-myeon, Sangseo-myeon, and Jinseo-myeon were included with the largest area, therefore, it was considered that these were the favorable regions for the expansion of M. alba cultivation area. The result of this study would be expected to be used as the effective information when establishing the expansion plan for M. alba cultivation area focused on the forest of Buan-gun in the future.

Assessing Southern-type Garlic Suitability with regards to Soil and Temperature Conditions (기온과 토양요인을 고려한 난지형 마늘 재배적지 분석)

  • Kim, Yong-Wan;Jang, Min-Won;Hong, Suk-Young;Kim, Yi-Hyun
    • Korean Journal of Soil Science and Fertilizer
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    • v.45 no.2
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    • pp.266-271
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    • 2012
  • This study was carried out to evaluate the land suitability for southern-type garlic cultivation associated with both temperature and soil constraints. The suitability analysis was conducted with hourly temperature data from 2001 to 2010 at all fifty seven meteorological stations and the soil-based suitability map of garlic provided by Rural Development Administration. Firstly the temperature data were processed by the growth stages (germinating, bulbing, and winter vegetation season), and then were adopted to limit the irrelevant lands. Next, as a result of overlaying each soil and temperature suitability map, the total 274,339 ha of area was mapped as highly suitable or suitable for southern-type garlic cultivation and the top four of the largest classified si-guns were identified as Naju, Jeongeup, Gochang, and Jinju. On the other hand, the statistical records of KOSIS (KOrea Statistical Information Service) showed lower amount of cultivation area than the analyzed results in the major production sites, Goheung, Sinan, Haenam, and Muan. However, it should not be regarded as exceptional because farmer's preference might not correspond to potential land usability.

Projection of Potential Cultivation Region of Satsuma Mandarin and 'Shiranuhi' Mandarin Hybrid Based on RCP 8.5 Emission Scenario (RCP 8.5 기후변화시나리오에 근거한 온주밀감과 '부지화'의 잠재적 재배지 변화 예측)

  • Moon, Young-Eel;Kang, Seok-Beom;Lee, Hyejin;Choi, Young-Hun;Son, In-Chang;Lee, Dong-Hoon;Kim, Sung-Ki;An, Moon-Il
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.19 no.4
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    • pp.215-222
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    • 2017
  • The potential change of the cultivation area of main citrus cultivars, satsuma mandarin (Citrus unshiu Marc.) and 'Shiranuhi' mandarin hybrid [(Citrus unshiu ${\times}$ C. sinensis) ${\times}$ C. reticulata] were determined with base year (1981 to 2010) to 2090. The meteorological data provided by the Korea Meteorological Administration (KMA), and the digital agricultural climate map of 30m-solution based on the Representative Concentration Pathways (RCP) 8.5 was used for projection of potential cultivation area. As a result, the potential suitable region of satsuma mandarin included almost Jeju region during base year. At the 2030s, the potential suitable region of satsuma mandarin increased and the cultivable region also increased focused on the coast region of Jeonnam province. From the 2060s, the suitable area spread out to mountain area of Jeju, Jeonnam, Gyeongnam, and the coast region of Kangwon, and the cultivable region expanded to the area of Gyeongbuk, Chungnam, and Jeonbuk. In the case of 'Shiranuhi' mandarin hybrid, the suitable region included only the partial coast area of Jeju, and cultivable area covered Jeju region and the partial southern coast of Jeonnam during the standard period. At the 2030s, the suitable region of 'Shiranuhi' included the current cultivation area of satsuma mandarin, and the cultivable region moved to northward by the partial southern coast region. At the 2090s, the slightly increased suitable region covered all Jeju regions, Jeonnam, Gyeongnam, and the coast area of Kangwon, and the cultivable region proceeded northward focusing on the coastline. In conclusion, the prediction of the potential land for citrus cultivation based on the RCP 8.5 showed that the suitable region of satsuma mandarin decreased, whereas that of cultivation of 'Shiranuhi' increased. Moreover, it was forecasted that citrus cultivation area would extend to Kangwon region at the end of the $21^{st}$ century.

Establishment of the Suitability Class in Ginseng Cultivated Lands (인삼 재배 적지 기준 설정 연구)

  • Hyeon, Geun-Soo;Kim, Seong-Min;Song, Kwan-Cheol;Yeon, Byeong-Yeol;Hyun, Dong-Yun
    • Korean Journal of Soil Science and Fertilizer
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    • v.42 no.6
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    • pp.430-438
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    • 2009
  • An attempt was made to establish the suitability classes of lands for the cultivation of ginseng(Panax ginseng C. A. Meyer). For this study, the relationships between various soil characteristics and ginseng yields were investigated on altogether 450 ginseng fields (150 sites in paddy and 300 sites in upland), across Kangwon, Kyunggi, Chungbug, Chungnam, Jonbug and Kyungbug Provinces, where ginseng is widely cultivated. In the paddy fields, most influential properties of soil on the ginseng yields was found to be the drainage class. Texture of surface soil and available soil depths affected the ginseng yields to some extents. However, the topography, slope, and the gravel content were found not to affect the ginseng yields. In the uplands, the texture of surface soil was most influential and the topography, slope, and occurrence depth of hard-pan were least influential on the performance of the crop. Making use of multiple regression, by SAS, the contribution of soil morphological and physical properties such as, topography, surface soil texture, drainage class, slope, available soil depth, gravel content, and appearance depth of hard-pan, for the suitability of land for ginseng cultivation was analyzed. Based on the results of above analysis, adding up all of the suitability indices, land suitability classes for ginseng cultivation were proposed. On top of this, taking the weather conditions into consideration, suitability of land for ginseng cultivation was established in paddy field and in uplands. As an example, maps showing the distribution of suitable land for ginseng cultivation were drawn, adopting the land suitability classes obtained through current study, soil map, climate map, and GIS information, for Eumsung County, Chungbug Province. Making use of the information on the land suitability for ginseng cultivation obtained from current study, the suitability of lands currently under cultivation of ginseng was investigated. The results indicate that 74.0% of them in paddy field and 88.3% in upland are "highly suitable" and "suitable".

The Suitable Region and Site for 'Fuji' Apple Under the Projected Climate in South Korea (미래 시나리오 기후조건하에서의 사과 '후지' 품종 재배적지 탐색)

  • Kim, Soo-Ock;Chung, U-Ran;Kim, Seung-Heui;Choi, In-Myung;Yun, Jin-I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.11 no.4
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    • pp.162-173
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    • 2009
  • Information on the expected geographical shift of suitable zones for growing crops under future climate is a starting point of adaptation planning in agriculture and is attracting much concern from policy makers as well as researchers. Few practical schemes have been developed, however, because of the difficulty in implementing the site-selection concept at an analytical level. In this study, we suggest site-selection criteria for quality Fuji apple production and integrate geospatial data and information available in public domains (e.g., digital elevation model, digital soil maps, digital climate maps, and predictive models for agroclimate and fruit quality) to implement this concept on a GIS platform. Primary criterion for selecting sites suitable for Fuji apple production includes land cover, topography, and soil texture. When the primary criterion is satisfied, climatic conditions such as the length of frost free season, freezing risk during the overwintering period, and the late frost risk in spring are tested as the secondary criterion. Finally, the third criterion checks for fruit quality such as color and shape. Land attributes related to these factors in each criterion were implemented in ArcGIS environment as relevant raster layers for spatial analysis, and retrieval procedures were automated by writing programs compatible with ArcGIS. This scheme was applied to the A1B projected climates for South Korea in the future normal years (2011-2040, 2041-2070, and 2071-2100) as well as the current climate condition observed in 1971-2000 for selecting the sites suitable for quality Fuji apple production in each period. Results showed that this scheme can figure out the geographical shift of suitable zones at landscape scales as well as the latitudinal shift of northern limit for cultivation at national or regional scales.

The maximum limiting characteristic method-based land suitability assessment for peaches (Prunus persica) and grapes (Vitis vinifera L.) using rasterized data of soil and climate on agricultural land in South Korea (토양 및 기후정보 통합 최대저해인자법에 의한 복숭아와 포도의 적지 평가)

  • Kim, Hojung;Koo, Kyung-Ah;Shim, Kyo-Moon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.21 no.4
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    • pp.286-296
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    • 2019
  • Land suitability assessments have been a crucial issue for enhancing productivity in agriculture and conserving agricultural lands. Based on soil and climate information, land suitability assessment for peaches (Prunus persica) and grapes (Vitis vinifera L.) were conducted using the maximum limiting characteristic method (MLCM) in South Korea. In peaches, S1 (highly suitable) exists on 2.21% of the land, S2 (moderately suitable) on 19.20%, N1 (currently not suitable) on 12.07%, and N2 (permanently not suitable) on the remaining 66.52%. In grapes, 3.65% of the land is classified as S1, 17.98% as S2, 11.85% as N1 and 66.52% as N2. In both fruit trees, the results acquired from soil and climatic information were similar to those from soil information alone. The data also suggest that the grades by soil information were relatively low over the land. With the assumption that the more suitable area a province has, the more will be cultivated for the fruit trees, we compared the percentages of area for peach and grape farming per province with the results by MLCM, and suggested that some provinces with a small percentage of farm can be encouraged to plant more in suitable areas as dictated by MLCM for the species. In the near future, we plan to use an advanced method such as analytic hierarchy process (AHP) to conduct similar tests, in which having reference data of yields or benefits per farm can efficiently increase the accuracy of the measurements.

Land Suitability Assessment by Combining Classification Results by Climate and Soil Information Using the Most Limiting Characteristic Method in the Republic of Korea (기후 및 토양 정보에서 최대저해인자법을 이용한 재배적지 구분의 통합에 관한 연구)

  • Kim, Hojung;Shim, Kyomoon;Hyun, Byungkeun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.18 no.3
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    • pp.127-134
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    • 2016
  • Land suitability assessment for apples and pears was conducted with soil and climate information in South Korea. In doing so, we intended to preserve land and increase the productivity by providing valuable information regarding where more suitable areas for apples or pears are located. We used soil classification driven by soil environmental information system developed by National Institute of Agricultural Science, RDA, and also used climate classification in digital agro-climate map database for which is made by National Institute of Horticultural and Herbal Science. We combined both soil and climate classification results using a most-limiting characteristic method. The combined results showed very similar patterns with the results by classification based on soil information. Such results seem to come from the fact that the classification results by soil relatively lower than those by climate information. The results by soil classification seem to be too downgraded and checking if the final classification ranges in soil are reasonably made is strongly required. Although the most limiting characteristic method had been used widely in land suitability assessment, adapting the method based on results by soil and climate can be influenced by one downgraded factor. Therefore, alternative ways should be carefully considered for increasing the accuracy.

Spatial Assessment of Climate Suitability for Summer Cultivation of Potato in North Korea (기후적합도 모형을 활용한 북한지역 내 감자의 여름재배 적지 탐색)

  • Kang, Minju;Hyun, Shinwoo;Kim, Kwang Soo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.1
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    • pp.35-47
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    • 2022
  • Expansion of potato production areas can improve the food security in North Korea because the given crop has less requirements for agricultural materials and facilities. The Global Agro-Ecological Zones (GAEZ) model, which was developed to evaluate climate suitability under different cultivation conditions, was used to identify potential areas for the potato production. The spatial estimates of crop suitability under low and high input management conditions were downloaded from the GAEZ data portal. The values of suitability were obtained at the potato occurrence sites retrieved from the Global Biodiversity Information Facility (GBIF) database. The suitable areas for the potato production were identified using a threshold value derived from the suitability estimates at the occurrence sites. It was found that 90% of the occurrence sites had the suitability index value >3,333, which was set to be the threshold value. The suitable areas in North Korea were summarized by province and county. Rice cultivation areas were excluded from the analysis. The reported relative acreage of potato production was better represented by the suitable areas under the low input management options than the high input conditions. The suitable areas also had a similar distribution to the reported acreage of potato production by county. These results indicated that the GAEZ model would be useful to identify the candidate production areas, which would facilitate the increases in potato production especially under future climate conditions. Furthermore, monthly maps of crop suitability can be used to design cropping systems that would improve crop production under the limited use of agricultural materials and facilities.

Selection to be Compatible Site for Ginseng Information System in Kumsan Area (인삼정보시스템 구축 및 이를 활용한 재배적지 분석(금산지역))

  • 김윤영
    • Journal of Ginseng Research
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    • v.26 no.1
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    • pp.24-30
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    • 2002
  • The methodology introduces the establishment of a regional ginseng information system, which combines a ginseng database and GIS functionalities. The use of a database and GIS in the execution of ginseng studies may be expressed as shown in Kumsan-Gun. The process from defining a high-quality ginseng problem to providing advice and suggestions for solution of the problem is carried out through five steps: a) data collection and retrieval of data from a database; b) processing of data and preparing model input using a GIS; c) running a high quality-ginseng model; d) interpretation of model output using GIS; e) visualization and translation of study results for discussion with involved parties and advice to principals. In ginseng management it is necessary to deal efficiently and adequately with occurring ginseng situation and problems. This requires the availability of a ginseng information system based on a GIS in Kumsan-Gun, which provides up-to-date information which is quickly accessible and easy to process.