Comparison of three land suitability evaluation depth scenarios for irrigated paddy fields (case study: North of Iran)

References

• Ashraf S. 2010. Land suitability analysis for wheat using multicriteria evalution and GIS method. Res J Biol Sci. 5(9):601–605. doi:10.3923/rjbsci.2010.601.605.
   Google Scholar
• Behzad M, Albaji M, Papan P, Boroomand Nasab S, Naseri AA, Bavi A. 2009. Qualitative evaluation of land suitability for principal crops in the Gargar Region, Khuzestan Province, Southwest Iran. Asian J Plant Sci. 8(1):28–34. doi:10.3923/ajps.2009.28.34.
   Google Scholar
• Dang KB, Burkhard B, Windhorst W, Müller F. 2019. Application of a hybrid neural-fuzzy inference system for mapping crop suitability areas and predicting rice yields. Environ Modell Softw. 114:166–180. doi:10.1016/j.envsoft.2019.01.015
   Web of Science ®Google Scholar
• De Datta SK, Buresh RJ, Samson MI, Wang KR. 1988. Nitrogen use efficiency and nitrogen-15 balances in broadcast-seeded flooded and transplanted rice. Soil Sci Soc Am J. 52(3):849–855. doi:10.2136/sssaj1988.03615995005200030045x.
   Web of Science ®Google Scholar
• Dengiz O. 2013. Land suitability assessment for rice cultivation based on GIS modeling. Turk J Agric For. 37(3):326–334. doi:10.3906/tar-1206-51.
   Web of Science ®Google Scholar
• FAO. 1976. A framework for land evaluation. FAO Soils Bulletin, No 32, Rome. https://www.mpl.ird.fr/crea/tallercolombia/FAO/AGLL/pdfdocs/framele.pdf
   Google Scholar
• FAO. 1983. Guide Lines: land evaluation for rain fed agriculture. FAO Soils Bulletin, No 52, Rome, Italy; p.249.
   Google Scholar
• FAO. 1984. Guidelines: land evaluation forestry. In: FAO Soils Bull. No. 48. Rome, Italy: FAO; p.123.
   Google Scholar
• FAO. 1985. Guide lines: land evaluation for irrigated agriculture. In: FAO Soils Bulletin. Rome; p. No55
   Google Scholar
• FAO. 2010. Food and agriculture organization statistics division. [accessed 15 June 2012]. http://faostat.fao.org/site/567/DesktopDefault.aspx?PageID=567#ancor
   Google Scholar
• Givi J. 1997. Qualitative evaluation of land suitability for field and fruit crops (in Persian). Tehran (Iran): Iranian Soil and Water Research Institute.
   Google Scholar
• Hunter MC, Smith RG, Schpanski ME, Atwood LW, Mortensen DA. 2017. Agriculture in 2050: recalibrating Targets for Sustainable Intensification. BioScience. 67(4):386–391. doi:10.1093/biosci/bix010.
   Web of Science ®Google Scholar
• Iran’s Agricultural Statistics. 2016. Comprehensive Agricultural Information. Tehran: ministry of Agriculture, Planning and Economic Department. Iran: Information and Communication Technology Center; p.11. http://dpe.agri-jahad.ir/portal/File/ShowFile.aspx?ID=9ccaea33-8889-40c2-a21c-cef3f6f6ccdd.
   Google Scholar
• Isitekhale HHE, Aboh SI, Ekhomen FE. 2014. Soil suitability evaluation for rice and sugarcane in lowland soils of Anegbette, Edo State, Nigeria. Int J Eng Sci. 3(5):54–62. http://www.theijes.com/papers/v3-i5/version-4/H03504054062.pdf
   Google Scholar
• Jafarzadeh A, Abbasi G. 2006. Qualitative land suitability evaluation for the growth of onion, potato, maize, and alfalfa on soils of the Khalat pushan research station. Biologia. 61(19):S349–S352. doi:10.2478/s11756-006-0187-5.
   Google Scholar
• Jafarzadeh AA, Alamdari P, Neyshabouri MR, Saedi S. 2008. Land suitability evaluation of bilverdy research station for wheat, barley, alfalfa, maize and safflower. Soil Water Res. 3(1):S81–S88. doi:10.17221/15/2008-SWR.
   Google Scholar
• Kravchenko A, Bullock DG. 1999. A comparative study of interpolation methods for mapping soil properties. Agron J. 91(3):393–400. doi:10.2134/agronj1999.00021962009100030007x.
   Web of Science ®Google Scholar
• Landis JR, Koch GG. 1977. The measurement of observer agreement for categorical data. Biometrics. 33(1):159–174. doi:10.2307/2529310.
   PubMed Web of Science ®Google Scholar
• Lorencowicz E, Uziak J, Huyghebaert B. 2017. Farm machinery and processes management in sustainable agriculture. In: 9th International scientific symposium. department of machinery exploitation and management of production processes. Poland: University of Life Sciences in Lublin. doi:10.24326/fmpmsa.2017.1
   Google Scholar
• Moloudi A, Mahabadi NY. 2019. Quantitative and qualitative land suitability assessment for rice cultivation, north of Iran. Pol J Soil Sci. 52(2):195. doi:10.17951/pjss.2019.52.2.195.
   Google Scholar
• MongKolsawat C, Thirangoon P, Kuptawutinan P. 2009. A physical evaluation of land suitability for rice. A methodological study using GIS. https://www.geospatialworld.net/article/a-physicalevaluation-of-land-suitability-for-rice-a-methodological-study-using-gis/
   Google Scholar
• Mueller TG, Pierce FJ, Schabenberger O, Warncke DD. 2001. Map quality for site- specific fertility management. Soil Sci Soc Am J. 65(5):1547–1558. doi:10.2136/sssaj2001.6551547x.
   Web of Science ®Google Scholar
• Salar-Ashayeri M, Khaledian M, Kavoosi-Kalashami M, Rezaei M. 2020. Simulation of water allocation in Sefidroud irrigation and drainage network for sustainability of rice production. Paddy Water Environ. 18(4):607–621. doi:10.1007/s10333-020-00805-8.
   Web of Science ®Google Scholar
• Soil Survey Staff. 2014. Keys to Soil Taxonomy. 12 ed. NRCS (USDA, Washington, D.C).
   Google Scholar
• Soltani SM. 2013. Qualitative land suitability evaluation for the growth of rice and off-seasons crops as rice based cropping system on paddy fields of Central Guilan, Iran. Indian J Sci Technol. 6(10):5395–5403. doi:10.17485/ijst/2013/v6i10.15.
   Google Scholar
• Sys C, Van Ranst E, Debaveye J. 1991a. Land evaluation, Part 1, principles in land evaluation and crop production calculations. International Training Centre for Post-graduate Soil Scientists, University Ghent.
   Google Scholar
• Sys C, Van Ranst E, Debaveye J. 1991b. Land evaluation, Part II: method land evaluation. general administration for development cooperation. International Training Centre for Post-graduate Soil Scientists, University Ghent.
   Google Scholar
• Sys C, Van Ranst E, Debaveye J. 1993. Land evaluation, Part III: crop requirements. General Administration for Development Cooperetion. International Training Centre for Post-graduate Soil Scientists, University Ghent.
   Google Scholar
• Taghizadeh-Mehrjardi R, Nabiollahi K, Rasoli L, Kerry R, Scholten T. 2020. Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models. Agronomy. 10(4):573. doi:10.3390/agronomy10040573.
   Google Scholar
• Torabi Golsefidi H. 2001. Genesis, Classification and Land Suitability Evaluation of Wetland Soils for Irrigated Rice in Eastern Guilan Province. Ph.D. Dissertation, Isfahan University of Technology, Isfahan (Iran)
   Google Scholar
• Walkley A, Black IA. 1934. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Sci. 37(1):29–38. doi:10.1097/00010694-193401000-00003.
   Google Scholar
• WRB. 2015. World reference base for soil resources 2014, update 2015. International soil classification system for naming soils and creating legends for soil maps. In: World soil resources reports No. Vol. 106. Rome: FAO.
   Google Scholar