ارزیابی کیفی تناسب اراضی برای کاشت نخل خرمای کبکاب در استان فارس

آب و خاک

مقاله 11، دوره 34، شماره 4 - شماره پیاپی 72، مهر 1399، صفحه 921-932   

نوع مقاله: مقالات پژوهشی

شناسه دیجیتال (DOI): 10.22067/jsw.v34i4.84162

نویسندگان

حجت دیالمی¹؛ جواد گیوی^{* 2}

¹موسسه تحقیقات علوم باغبانی،پژوهشکده خرما و میوه های گرمسیری

²دانشگاه شهرکرد

چکیده

چکیده
 در روش فائو برای ارزیابی تناسب اراضی از منطق دو ارزشی بولین استفاده و اهمیت خصوصیت­های اراضی برای تعیین کلاس تناسب یکسان در نظر گرفته می­شود. در روش تحلیل سلسله مراتبی، معیارهای تأثیرگذار بر ارزیابی شناسایی و تأثیر نسبی هر کدام به صورت وزن نسبی تعیین می­شود. در روش تحلیل سلسله مراتبی فازی، به­منظور مدل­سازی عدم  قطعیت­ها، مجموعه­های فازی با مقایسه­های زوجی در فرآیند تحلیل سلسله مراتبی ترکیب می­گردد. این تحقیق با هدف ارزیابی کیفی تناسب اراضی برای کاشت نخل خرمای کبکاب با استفاده از دو روش فائو و ارزیابی چند معیاره در استان فارس اجرا گردید. نخلستان­های­ دارای نخل خرمای رقم کبکاب، به عنوان واحدهای اراضی انتخاب و در هرکدام از آنها کلاس­های کیفی تناسب تعیین و دقت روش­های به­کارگرفته شده مقایسه گردید. نتایج نشان داد متوسط درجه حرارت مرحله گل‌دهی و همچنین بافت خاک، کربن آلی، آهک و پتاسیم قابل جذب به ترتیب از مهمترین عوامل محدود کننده  اقلیم و خاک برای کاشت نخل خرما در منطقه مورد مطالعه محسوب می­گردند. در روش فائو (پارامتریک -فرمول ریشه دوم)، 10% و 90% نخلستان­ها به ترتیب در کلاس­های S2 و S3 قرار ­گرفتند. طبق روش‌ تحلیل سلسله مراتبی،  90% و  10% واحدهای اراضی به ترتیب در کلاس­های S1 و S2 و در روش‌ تحلیل سلسله مراتبی فازی، 100% آن­ها، در کلاس S2، طبقه­بندی ­شدند. ضرایب همبستگی بین مقادیر عملکرد واقعی و شاخص اراضی محاسبه شده برای روش­های تحلیل سلسله مراتبی فازی، تحلیل سلسله مراتبی و فائو به ترتیب 78/0، 57/0 و 38/0 بدست آمد.

کلیدواژه‌ها

نخل خرما؛ استان فارس؛ تناسب اراضی

مراجع

1- Amirian A. 2011. Land suitability spatial modeling using geostatistical techniques and Fuzzy set theory. PhD Thesis, Faculty of Agriculture and Natural Resources, University of Tehran, Iran. (In Persian)

2- Attua E.M., and Fisher J.B. 2010. Land suitability assessment for Pineapple production in the Akwapim south district, Ghana: A GIS-Multicriteria Approach. Ghana Journal of Geography 2: 47-83.

3- Ayag Z., and ozdemir R.G. 2006. A Fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing 17: 179-190.

4- Ayoubi Sh., Givi J., Jalalian A., and Amini A.M. 2002. Quantitative evaluation of land suitability for important crops in northern Barran area, Isfahan. Journal of Science and Technology of Agriculture and Natural Resources 3: 105-119. (In Persian)

5- Banaei M.H. 1998. Soil moisture and temperature regime map of Iran. Soil and Water Research Institute, Tehran. (In Persian)

6- Belal A.A., and Al-Ashri K.M.A .2011. GIS Based land evaluation in Baharyia Oasis, western desert, Egypt. Mansoura University Journal of Soil Science and Agricultural Engineering 2(1): 11–24.

7- Bouyoucos G.J. 1962. Hydrometer method, improved for making particle size analysis of soil. Agronomy Journal 54: 464-465.

8- Burrough P.A. 1989. Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science 40: 477–492.

9- Burrough P., MacMillan R.A., and Van Deursen W. 1992. Fuzzy classification methods for determining land suitability from soil profile observations and topography. Journal of Soil Science 43: 193- 210.

10- Burt R. 2014. Soil survey laboratory methods manual. United States Department of Agriculture, Natural Resources Conservation Service, Lincoln, Nebraska, USA, 1035p.

11- Dialami H. 2017. Qualitative, Quantitative and Economical Land Suitability Evaluation for Kabkab Date Palm Cultivation in Khuzestan, Fars and Bushehr Provinces, Using Multi- Criteria Evaluation and FAO Methods. PhD thesis, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran. (In Persian)

12- FAO statistic (2014). Available at http// faostat.fao.org/site/567/default.aspx.

13- Ghanavati G., Landi A., and Baneinaama J. 2009. Land Suitability Evaluation for Wheat and Date Palm Cultivation in Shadegan Area. M.Sc. thesis, Faculty of Agriculture, Shahid Chamran University, Ahwaz, Iran. (In Persian)

14- Givi J. 1998. Qualitative Land Suitability Evaluation for Field and Horticultural crops. Technical Publication No. 1015, Soil and Water Research Institute, Agricultural and Natural Resources Research Organization, Ministry of Agriculture, 100 p. (In Persian)

15- Hamzeh S., Mokarram M., and Alavipanah S.K. 2014. Combination of fuzzy and AHP methods to assess land suitability for barley: Case study of semiarid lands in the southwest of Iran. Desert 19(2): 173-181.

16- Keshavarzi A., Sarmadian F., Heidari A., and Omid M. 2010. Land suitability evaluation using fuzzy continuous classification (A case study: Ziaran region). Modern Applied Science 4: 72-81.

17- Khalifa M.E.A., and Samir M.H.A.R. 2008. Land Potentiality Assessment, East El-Owienat Area, Egypt. Alex University Journal of Agriculture and Environment Science 7(1): 149-171.

18- Knudsen D., Peterson G.A., and Pratt P.F. 1982. Lithium, sodium, and potassium. In: Page A. L. (ed.). Methods of Soil Analysis. Part 2: Chemical and Microbiological Properties. American Society of Agronomy and Soil Science Society of America, Madison, WI, USA. pp: 225-246.

19- Metwaly M.M.A., and El-Araby A.M. 2011. Land suitability for some specific crops, using remote sensing and GIS in El-Qaa plain, South Sinai, Egypt. Mansoura University Journal of Soil Science and Agricultural Engineering 2(2): 227–238.

20- Mohammadi J., and Givi J. 2001. Qualitative Land Suitability Evaluation for Wheat in Falavarjan Region (Isfahan), using Fuzzy set theory. Journal of Science and Technology of Agriculture and Natural Resources 1: 103-115. (In Persian)

21- Mousavi S.A., Sarmadian F., and Taaty A. 2016. Comparison and analysis of hierarchical process method of FAO to assess the suitability of the land for dryland wheat in kuhin area. Journal of Soil Research 30: 367-377. (In Persian)

22- Mukhtar E., Comber A., and Fisher P. 2010. Land evaluation techniques, comparing Fuzzy AHP with TOPSIS method. 13th AGILE International Conference on Geographic Information Science, 10-14 May, Guimarães, Portugal.

23- Nelson R.E. 1982. Carbonate and gypsum. In: Page A.L. (ed.). Methods of Soil Analysis. Part2: Chemical and Microbiological Properties. American Society of Agronomy and Soil Science Society of America, Madison, WI, USA. pp: 181-197.

24- Nouri S.H., Sadaei S.H., Keaie S., Soltane Z., and Nowruze Avaregane A. 2010. Evaluation of ecological environment for determining suitable areas, using geographic information systems in the central part of the Kiyar county. Journal of Geography and Linear Programming 37: 33-47. (In Persian)

25- Peech M. 1965. Hydrogen ion activity. In: Black, C.A. (ed.), Methods of soil analysis. Part 2: Chemical and Microbiological Properties. American Society of Agronomy and Soil Science Society of America, Madison, WI, USA. pp: 914-926.

26- Prakash T.N. 2003. Land suitability analysis for agricultural crops. Fuzzy multicriteria decision making approach. M.Sc. thesis. International Institute for Geo-information Science and Earth Observation. Enschede, Netherlands.

27- Roades J.D. 1996. Salinity: electrical conductivity and total dissolved solids. In: Sparks D.L. (ed.). Methods of Soil Analysis. Part 3: Chemical methods. American Society of Agronomy and Soil Science Society of America, Madison, WI, USA. pp: 417-437.

28- Romeijn H., Faggian R., Diogo V., and Sposito V. 2016. Evaluation of deterministic and complex Analytical Hierarchy Process methods for agricultural land suitability analysis in a changing climate. International Journal of Geo-Information 5(99): 1-16.

29- Saaty T.L. 1980. The Analytic Hierarchy Process. McGraw Hill, New York, USA, 346p.

30- Salah A. 2018. Evaluation of land suitability for main irrigated crops in North- Western Region of Libya. Eurasian Journal of Soil Science 7(1): 73-86.

31- Salah A., Van Ranst E., and Hisham El. 2001. Land suitability assessment for date palm cultivation in the Eastern Nile delta, Egypt, using an automated land evaluation system (ALES) and GIS. Second International Conference on Date Palm, 25-27 March, Al-Ain, UAE.

32- Schoeneberger P.J., Wysocki D.A., Benham E.C., and Broderson W.D. 2012. Field book for describing and sampling soils. Version 3: Natural Resources Conservation Service and National Soil Survey Center, Lincoln, NE, 300 p.

33- Sharififar A., Ghorbani H., and Sarmadian F. 2016. Land suitability evaluation for crop selection, using fuzzy sets methodology. Acta Agriculturae Slovenica 107(1):159-174.

34- Sys C., Van Ranst E., and Debaveye J. 1991a. Land evaluation. Part I: Principles in land evaluation and crop production calculations. Agricultural Publication No. 7, GADC, Brussels, Belgium, 274p.

35- Van Laarhoven P.J.M., and Pedrcyz W. 1983. A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems 11: 229-241.

36- Van Ranst E., Tang H., Groenemans R., and Sinthurahat S. 1996. Application of fuzzy logic to land suitability evaluation for rubber production in peninsular Thailand. Geoderma 70: 1–19.

37- Wakley A., and Black I.A. 1934. An examination of degtjareff method for determining soil organic matter and a proposed modification of chromic acid method in soil analysis. Experimental Soil Science 79: 459-465.

38- Zabihi H., Ahmad A., Vogeler I., Norsaid M., Golmohammadi M., Golein B., and Nilash I.M. 2015. Land suitability procedure for sustainable citrus production, using the application of the analytical network process approach and GIS. Computers and Electronics in Agriculture 117: 114–126.