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http://dx.doi.org/10.5532/KJAFM.2019.21.4.286

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  

Kim, Hojung (National Institute of Agricultural Sciences, Rural Development Administration)
Koo, Kyung-Ah (Environmental Policy Research Group, Korea Environment Institute)
Shim, Kyo-Moon (National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.21, no.4, 2019 , pp. 286-296 More about this Journal
Abstract
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.
Keywords
Land suitability assessment; Maximum limiting characteristic method; Peach; Grape; Soil and climate information;
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