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Email this article Applicability of Fuzzy and Fuzzy Analytic Hierarchy Process (Fuzzy AHP) Methods to Determine the Optimum Soil Depth in Land Suitability Evaluation for Irrigated Rice
Abstract
The conventional Boolean logic models of land suitability assessment disregard the continuity concepts of the soil and landscape which might cause inaccurate evaluation and classification. To overcome this uncertainty and consequent constraints, the fuzzy set theories were introduced. Therefore, the current study was undertaken to estimate the optimum soil depth that is used in land suitability evaluation for irrigated rice through the fuzzy sets theory and analytic hierarchy process (fuzzy AHP) in Guilan Province, Iran. The square root and quantitative land suitability evaluation methods were employed to calculate traditional land suitability indices (for depths, 0-25, 0-50, 0-75, and 0-100 cm). Also, fuzzy and fuzzy AHP methods were used to explore new land indices. The Sarma similarity indices were used to compare the results of traditional and fuzzy methods for different soil depths. The results showed that the compatibility percentage between the representative pedons (0-100 cm) and the findings of this research (0-50 and 0-75 cm) were remarkable. Furthermore, the highest compatibility percentage of land suitability class was related to the comparison of these two former depths and 0 to 100 cm depths in each of the two used fuzzy methods. Besides, except for 0-25 cm depths, actual yield revealed a significant and positive correlation with the rest three soil pedon depths. These findings show that considering 0 to 50 cm soil depth might be a relevant alternative as the optimal depth to evaluate land suitability for rice in paddy fields in the Guilan rice-growing area.
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Akef, M., 2005. Semi-detailed soil classification of the unit of G4 of Sepidrood's irrigation and drainage network. Guilan, Local Water Company of Guilan Province, Iran.
Ayoubi, S., Zamani, S.M., Khormali, F., 2009. Wheat yield prediction through soil properties using principal component analysis. Iranian Journal of Soil and Water Research, 40(1): 51–57.
Bacic, I., 2003. Demand-driven land evaluation; with case studies in Santa Catarina, Brazil. ITC.
Bagherzadeh, A., Gholizadeh, A., 2016. Qualitative land suitability evaluation by parametric and fuzzy approaches for sugar beet crop in Sabzevar plain, the northeast of Iran. Agricultural Research, 5(3): 277–284.
Banai, R., 1993. Fuzziness in geographical information systems: Contributions from the analytic hierarchy process. International Journal of Geographical Information Science, 7(4): 315–329.
Bouma, J., Finke, P., 1993. Origin and nature of soil resource variability. Soil Specific Crop Management, Madison, Wisconsin, ASA-CSSA-SSSA, 3–14.
Braimoh, A.K., Vlek, P.L., Stein, A., 2004. Land evaluation for maize based on fuzzy set and interpolation. Journal of Environmental Management, 33(2): 226–238.
Ceballos-Silva, A., Lopez-Blanco, J., 2003. Delineation of sui/table areas for crops using a multi-criteria evaluation approach and land use/cover mapping: A case study in central Mexico. Agricultural Systems, 77(2): 117–136.
Cheng, Y.-Q., Yang, L.-Z., Cao, Z.-H., Ci, E., Yin, S., 2009. Chronosequential changes of selected pedogenic properties in paddy soils as compared with non-paddy soils. Geoderma, 151(1–2):31–41.
Davatgar, N., Neishabouri, M., Sepaskhah, A., 2012. Delineation of site specific nutrient management zones for a paddy cultivated area based on soil fertility using fuzzy clustering. Geoderma, 173:111–118.
De la Rosa, D., van Diepen, C., 2002. Qualitative and quantitative land evaluation, in 1.5. Land use and land cover. Encyclopedia of Life Support System (EOLSSUNESCO) Eolss Publishers, Oxford, UK.
Elaalem, M., 2010. The application of land evaluation techniques in jeffara plain in Libya using fuzzy methods. University of Leicester.
Fu, W., Tunney, H., Zhang, C., 2010. Spatial variation of soil nutrients in a dairy farm and its implications for site-specific fertilizer application. Soil Tillage Research, 106(2): 185–193.
Gajri, P.R., Arora, V.K., Prihar, SS., 2002. Tillage for sustainable cropping. Food Products Press, New York, p. 96.
GAOGP, 2007. Land suitability for second crops in guilan paddy fields. Jahad Agriculture of Guilan Province, Rasht, Iran
Givi, J., 1997. Qualitative evaluation of land suitability for field and fruit crops. Iranian Soil and Water Research Institute, Tehran, Iran.1–115.
Jaiyeoba, I., 2003. Changes in soil properties due to continuous cultivation in Nigerian semiarid Savannah. Soil Tillage Research, 70(1): 91–98.
JAOGP, 2017. Agriculture production stattistics of guilan province. Jahad Agriculture of Guilan Province.
Jian-Bing, W., Du-Ning, X., Xing-Yi, Z., Xiu-Zhen, L., Xiao-Yu, L., 2006. Spatial Variability of Soil Organic Carbon in Relation to Environmental Factors of a Typical Small Watershed in the Black Soil Region, Northeast China. Environmental Monitoring and Assessment, 121(1): 597–613.
Kassam, A.H., 1977. Net biomass and yields of crops. Consultant’s report. Agro-ecological zones project. AGL-FAO, Rome.
Keshavarzi, A., Sarmadian, F., Heidari, A., Omid, M., 2010. Land suitability evaluation using fuzzy continuous classification (a case study: Ziaran region). Modern Applied Science, 4(7): 72.
Kögel-Knabner, I., Amelung, W., Cao, Z., Fiedler, S., Frenzel, P., Jahn, R., Kalbitz, K., Kölbl, A., Schloter, M., 2010. Biogeochemistry of paddy soils. Geoderma, 157(1-2): 1–14.
Kurtener, D., Krueger-Shvetsova, E., Dubitskaia, I., 2004. Quality estimation of data collection. UDMS, UDMS Press, Giorggia-Venice, 9101–9109.
Lal, R., 2004. Offsetting China's CO2 emissions by soil carbon sequestration. Climate Change, 65(3): 263–275.
Liu, Z., Zhou, W., Shen, J., He, P., Lei, Q., Liang, G., 2014. A simple assessment on spatial variability of rice yield and selected soil chemical properties of paddy fields in south China. Geoderma, 235: 39–47.
Mahdavi Firoozabadi, M., Esfandiarpour Borujeni, I., Bagheri Bodaghabadi, M., Kamali, A., 2016. Comparison of two fuzzy methods to determine the optimum soil depth in land suitability evaluation for wheat. Journal of Soil Management and Sustainable Production, 6(3): 101–116. (In Persian).
Mahmoud Soltani, S., Hanafi, M.M., Samsuri, A.W., Muhammed, S.K.S., Hakim, M.A., 2016. Rice growth improvement and grains bio-fortification through lime and zinc application in zinc deficit tropical acid sulphate soils. Chemical Speciation & Bioavailability, 28(1-4): 152–162.
Mahmoud Soltani, S., Hanafi, M.M., Wahid, S.A., Kharidah, S.M.S., 2015. Zinc fractionation of tropical paddy soils and their relationships with selected soil properties. Chemical Speciation & Bioavailability, 27(2): 53–61.
Malczewski, J., 1996. A gis-based approach to multiple criteria group decision-making. International Journal of Geographical Information Science, 10(8): 955–971.
McBratney, A.B., Odeh, I.O., 1997. Application of fuzzy sets in soil science: Fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma, 77(2–4): 85–113.
Moreno, J.F.S., 2007. Applicability of knowledge based and fuzzy theory oriented aproaches to land suitability for upland rice and rubber, as compared to the farmers' perception: A case study of Lao PDR, ITC, p. 33.
Owliaie, H.R., Ghiri, M.N., 2013. Effect of long-term rice cultivation on physico-chemical properties and clay mineralogy of soils in Yasouj region. Journal of Agricultural Science and Technology, 17(65): 39–50.
Pan, G., Wu, L., Li, L., Zhang, X., Gong, W., Wood, Y., 2008. Organic carbon stratification and size distribution of three typical paddy soils from Taihu lake region, China. Journal of Environmental Sciences, 20(4): 456–463.
Prakash, J., 2003. Land suitability evaluation for agricultural crops: A fuzzy multicriteria decision making approach. Enscheda, Netherlands.
Qiu, F., Chastain, B., Zhou, Y., Zhang, C., Sridharan, H., 2014. Modeling land suitability/capability using fuzzy evaluation. GeoJournal. 79(2): 167–182.
Rossiter, D.G., 1996. A theoretical framework for land evaluation. Geoderma, 72(3-4): 165–190.
Ruan, D., 1990. A critical study of widely used fuzzy implication operators and their influence on the inference rules in fuzzy expert systems. Ghent University.
Saaty, T.L., 2014. Analytic heirarchy process. Wiley statsRef: Statistics reference online.
Sarma, V.A.K., 2006. Mapping of the Soil. NH, USA: Science Publishers.
Servati, M., Jafarzadeh, A., Ghorbani, M., Shahbazi, F., Davatgar, N., 2014. Land suitability evaluation for alfalfa in Khajeh region using the parametric square root method and fuzzy set theory. Water and Soil Science, 24(2): 93–105.
Soil Survey Staff, U.S.D.A., 2017. Web soil survey.
Sys, C., Van Ranst, E., Debaveye, J., 1991. Land evaluation. Part ii: Methods in land evaluation. Agricultural Publications, 7: 247.
Sys, C., Van Ranst, E., Debaveye, J., 1993. Land evaluation. Part iii: Crop requirements. Brussels, Belgium: Agricultural Publications, 7.
Tang, H., Van Ranstb, E., Groenemansh, R., 1997. Application of fuzzy set theory to land suitability assessment. Soil Science, 2: 191–203.
USDA, 2014. Keys to soil taxonomy. Soil Survey Staff.
Van Niekerk, J., Von Solms, R., 2010. Information security culture: A management perspective. Computers & Security, 29(4): 476–486.
Van Ranst, E., Tang, H., Groenemam, R., Sinthurahat, S., 1996. Application of fuzzy logic to land suitability for rubber production in peninsular Thailand. Geoderma, 70(1): 1–19.
Wang, Z.M., Song, K.S., Zhang, B., Liu, D.W., Li, X.Y., Ren, C.Y., Zhang, S.M., Luo, L., Zhang, C.H., 2009. Spatial Variability and Affecting Factors of Soil Nutrients in Croplands of Northeast China: A Case Study in Dehui County. Plant, Soil and Environment, 55(3): 110–120
Yaghmaeian Mahabadi, N., Givi, J., Naderi Khorasgani, M., Mohammadi, J., Poch Claret, R., 2012. Land suitability evaluation for alfalfa and barley based on fao and fuzzy multi-criteria approaches in Iranian arid region. Desert, 17(1): 77–89.
Yaghmaeian Mahabadi, N., Rahimi Mashkale, M., 2016. Comparison of parametric and fuzzy analytic hierarchy process in land evaluation (case study: Varamin region). Urban Management, 45: 239–248.
Zhang, X.-Y., Yue-Yu, S., Zhang, X.-D., Kai, M., Herbert, S., 2007. Spatial variability of nutrient properties in black soil of northeast China. Pedosphere. 17(1):19-29.
Zhu, A.-X,, Yang, L., Li, B., Qin, C., Pei, T., Liu, B., 2010. Construction of membership functions for predictive soil mapping under fuzzy logic. Geoderma. 155(3-4):164-174.
DOI: http://dx.doi.org/10.17951/pjss.2021.54.1.103-122
Date of publication: 2021-06-29 19:03:09
Date of submission: 2020-11-20 15:17:44
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