Land suitability assessment for apple (Malus domestica) in the Republic of Korea using integrated soil and climate information, MLCM, and AHP
Keywords:
land suitability evaluation, biophysical modeling, GIS, land use planning, multi-criteria analysis, Republic of KoreaAbstract
Apples (Malus domestica) are one of the major fruits cultivated in South Korea and worldwide. To both sustain the productivity of apple trees and preserve the land, a land suitability assessment has been conducted. Two methods were used to analyze land suitability, a Most-Limiting Characteristic Method (MLCM) and an Analytic Hierarchy Process (AHP) with integrated soil and climate information based on the FAO classification framework. The most-limiting characteristic analysis showed that almost all areas were classified as marginally suitable (S3) or not suitable (N), which together accounted for 94.54% of the land in the Republic of Korea. On the contrary, AHP showed that S1 (34.1%) and S2 (44.17%) account for the majority of the land. Keywords: land suitability evaluation, biophysical modeling, GIS, land use planning, multi-criteria analysis, Republic of Korea DOI: 10.25165/j.ijabe.20181102.2522 Citation: Kim H, Shim K. Land suitability assessment for apple (Malus domestica) in the Republic of Korea using integrated soil and climate information, MLCM, and AHP. Int J Agric & Biol Eng, 2018; 11(2): 139–144.References
[1] Sonneveld M, Hack-ten Broeke C, Van Diepen C, Boogaard H. Thirty years of systematic land evaluation in the Netherlands. Geoderma, 2010; 156(3): 84–92.
[2] Elsheikh R, Shariff A R B M, Amiri F, Ahmad N B, Balasundram S K, Soom M A M. Agriculture Land Suitability Evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Comput Electron Agric, 2013; 93: 98–110.
[3] Bojorquez-Tapia L A, Diaz-Mondragon S, Ezcurra E. GIS based approach for participatory decision-making and land suitability assessment. Int. J. Geogr Inform Sci, 2001; 15(2): 129–151.
[4] Mahajan A, Gupta R D. Integrated Nutrient Management (INM) in a Sustainable Rice-Wheat Cropping System, Springer Science + Business Media, BV, 2009
[5] Bandyopadhyay S, Jaiswal R K, Hegde V S, Jayaraman V. Assessment of land suitability potentials for agriculture using a remote sensing and GIS based approach. International Journal of Remote Sensing, 2009; 30(4): 879–895.
[6] Zolekar R B, Bhagat V S. Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach; Comp Electron Agri, 2015; 118: 300–321.
[7] Pan G, Pan J. Research in crop land suitability analysis based on GIS. Comput Comput Tech Agr V, edited, Springer, 2011; pp.314–325.
[8] Food and Agriculture Organization (FAO). A framework for land evaluation. FAO Soils Bulletin 32. Food and Agriculture Organization, Rome,.and publication 22. International Institute for Land Reclamation and Improvement, Wangeningen, 1976
[9] Food and Agriculture Organization (FAO). Guidelines: land evaluation for rainfed agriculture. Food and Agriculture Organization of the United Nations, Soils Bulletin 52. Rome, Italy, 1983.
[10] Food and Agriculture Organization (FAO). Land evaluation towards a revised framework. Food and Agriculture Organization of the United Nations, Rome, Italy, 2007.
[11] Rural Development Administration (RDA). Heuktoram: Soil and agricultural environments. 2010. http://soil.rda.go.kr/soil/index.jsp
[12] Rural Development Administration (RDA). U-Fruit system. 2013. http://u-fruit.nihhs.go.kr/
[13] Saaty T L. Decision making for leaders: The analytic hierarchy process for decisions in a complex world. RWS Publication, PA. 3rd Edition, 1995.
[14] Wang F. The use of artificial neural networks in a geographical information system for agricultural land-suitability assessment. Environ Plann A, 1994; 26(2): 265–284.
[15] Banai-Kashani R. A New Method for Site Suitability Analysis: The Analytic Hierarchy Process. Environmental Management, 1989; 13: 685–693.
[16] Mendoza G A. 1997. Introduction to Analytic Hierarchy process: Theory and applications to Natural Resources Management. In Proceedings of 1997 ACSM/ASPRS Annual Convention. Vol 4. Resource Technology.1997; April 7–10, Seattle, WA. pp.130–39.
[17] Saaty T L. The Analytic Hierarchy Process. New York: McGraw-Hill, 1980.
[18] Asia Info Organization (AIO). Korea’s geography. 2010. http://www.asianinfo.org/asianinfo/korea/geography.htm#LAND
[19] Saaty T L. How to make a decision: the analytic hierarchy process. Eur J Oper Res, 1990; 48(1): 9–26.
[20] Boonyanuphap J, Wattanachaiyingcharoen D, Sakurai K. GIS-based land suitability assessment for Musa (ABB group) plantation. J Appl Hort, 2004; 6(1): 3–10.
[2] Elsheikh R, Shariff A R B M, Amiri F, Ahmad N B, Balasundram S K, Soom M A M. Agriculture Land Suitability Evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Comput Electron Agric, 2013; 93: 98–110.
[3] Bojorquez-Tapia L A, Diaz-Mondragon S, Ezcurra E. GIS based approach for participatory decision-making and land suitability assessment. Int. J. Geogr Inform Sci, 2001; 15(2): 129–151.
[4] Mahajan A, Gupta R D. Integrated Nutrient Management (INM) in a Sustainable Rice-Wheat Cropping System, Springer Science + Business Media, BV, 2009
[5] Bandyopadhyay S, Jaiswal R K, Hegde V S, Jayaraman V. Assessment of land suitability potentials for agriculture using a remote sensing and GIS based approach. International Journal of Remote Sensing, 2009; 30(4): 879–895.
[6] Zolekar R B, Bhagat V S. Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach; Comp Electron Agri, 2015; 118: 300–321.
[7] Pan G, Pan J. Research in crop land suitability analysis based on GIS. Comput Comput Tech Agr V, edited, Springer, 2011; pp.314–325.
[8] Food and Agriculture Organization (FAO). A framework for land evaluation. FAO Soils Bulletin 32. Food and Agriculture Organization, Rome,.and publication 22. International Institute for Land Reclamation and Improvement, Wangeningen, 1976
[9] Food and Agriculture Organization (FAO). Guidelines: land evaluation for rainfed agriculture. Food and Agriculture Organization of the United Nations, Soils Bulletin 52. Rome, Italy, 1983.
[10] Food and Agriculture Organization (FAO). Land evaluation towards a revised framework. Food and Agriculture Organization of the United Nations, Rome, Italy, 2007.
[11] Rural Development Administration (RDA). Heuktoram: Soil and agricultural environments. 2010. http://soil.rda.go.kr/soil/index.jsp
[12] Rural Development Administration (RDA). U-Fruit system. 2013. http://u-fruit.nihhs.go.kr/
[13] Saaty T L. Decision making for leaders: The analytic hierarchy process for decisions in a complex world. RWS Publication, PA. 3rd Edition, 1995.
[14] Wang F. The use of artificial neural networks in a geographical information system for agricultural land-suitability assessment. Environ Plann A, 1994; 26(2): 265–284.
[15] Banai-Kashani R. A New Method for Site Suitability Analysis: The Analytic Hierarchy Process. Environmental Management, 1989; 13: 685–693.
[16] Mendoza G A. 1997. Introduction to Analytic Hierarchy process: Theory and applications to Natural Resources Management. In Proceedings of 1997 ACSM/ASPRS Annual Convention. Vol 4. Resource Technology.1997; April 7–10, Seattle, WA. pp.130–39.
[17] Saaty T L. The Analytic Hierarchy Process. New York: McGraw-Hill, 1980.
[18] Asia Info Organization (AIO). Korea’s geography. 2010. http://www.asianinfo.org/asianinfo/korea/geography.htm#LAND
[19] Saaty T L. How to make a decision: the analytic hierarchy process. Eur J Oper Res, 1990; 48(1): 9–26.
[20] Boonyanuphap J, Wattanachaiyingcharoen D, Sakurai K. GIS-based land suitability assessment for Musa (ABB group) plantation. J Appl Hort, 2004; 6(1): 3–10.
Downloads
Published
2018-03-31
How to Cite
Kim, H., & Shim, K. (2018). Land suitability assessment for apple (Malus domestica) in the Republic of Korea using integrated soil and climate information, MLCM, and AHP. International Journal of Agricultural and Biological Engineering, 11(2), 139–144. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/2522
Issue
Section
Natural Resources and Environmental Systems
License
IJABE is an international peer reviewed open access journal, adopting Creative Commons Copyright Notices as follows.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
