ارزیابی تناسب اراضی بخشی ازدشت زنجان برای کشت گندم آبی با استفاده از راه‌کار امتیازات محدودیتی

نوع مقاله : مقالات پژوهشی

نویسندگان

1 دانشگاه صنعتی شاهرود

2 دانشگاه زنجان

چکیده

در این پژوهش به‌منظور ترسیم روند تغییرات مکانی تناسب اراضی بخشی از دشت زنجان برای کشت گندم آبی، از لایه‌های مختلف 85 نقطه مشاهداتی تا عمق یک مترخاک، نمونه‌برداری انجام گرفت. پس از انجام آزمایش‌های لازم بر روی نمونه‌های خاک و جمع‌آوری اطلاعات اقلیمی، سطوح محدودیت ویژگی‌هایمختلف محاسبه و بر اساس جداول موجود به امتیازات محدودیتی تبدیل شدند. مجموع امتیازات محدودیتی هر نقطه، از طریق یک معادله‌ نمایی، بهمقادیر تابع پیوسته‌ عضویت تناسب اراضی تبدیل شد وبا استفاده از تخمین‌گر کریجینگ معمولی، مقادیر این تابع در تمامی منطقه، درون‌یابی و سپس پهنه‌بندی گردید. نتایج نشان داد که ویژگی‌های متوسط درجه حرارت دوره رشد و درصد ذرات درشت‌تر از دو میلی‌متر خاک، به‌ترتیب مهم‌ترین ویژگی‌های محدودکننده اقلیمی و خاکی در منطقه هستند. تجمع اثرات ویژگی‌های محدود‌کننده تناسب اراضی موجب بالا رفتن امتیازات محدودیتی و در نتیجه تنزل کلاس تناسب اراضی برخی از نقاط مشاهداتی، به‌ویژه در قسمت‌های شمال غربی منطقه مطالعاتی شده است. مقایسه نقشه منتج از درون‌یابی مقادیر تابع پیوسته عضویت تناسب اراضی با نقشه نقطه‌ای تناسب اراضی حاکی از آن بود که روند تغییرات مکانی تناسب اراضی برای گندم آبی در نقشه نخست، تدریجی‌تر و مشخص‌تر است. در مقایسه با روش‌های سنتی مرسوم در مطالعات تناسب اراضی، پیوسته‌سازی الگوی تغییرپذیری مکانی تناسب اراضی بر اساس دید فازی به تغییرات خاک، منجر به حصول نتایجی سازگارتر با ماهیت پیوسته پدیده‌های محیطی می‌گردد.

کلیدواژه‌ها


عنوان مقاله [English]

Land Suitability Evaluation for Irrigated Wheat in Zanjan Plain Using Limitation Scores

نویسندگان [English]

  • Yaser Safari 1
  • Mohammad Amir Delavar 2
  • Zahra Noori 2
1 Shahrood University of Technology
2 University of Zanjan
چکیده [English]

Introduction: Land suitability evaluation (LSE) may be considered as a worldwide accepted procedure to achieve optimum utilization of the available land resources for sustainable agriculture. The common LSE procedures, like the widely accepted “A framework for land evaluation” presented by FAO, however, do not consider variability of soil quality parameters; whereas, the soil quality and its suitability for different uses are influenced by highly variable land management strategies. Therefore, assessing the spatial variability pattern of environmental variables and their accumulative effects on land suitability for specific crops, is the key for achieving to thoughtful land use planning for sustainable use. The present study was done aimed to evaluation of spatial variability of land suitability for irrigated wheat in Zanjan plain using accumulated limitation scores and geostatistics.
Materials and Methods: The study area is located in the southern part of Zanjan city, northwestern Iran, between the latitudes 36° 33′ and 36° 40′ N and the longitudes 48° 23′ and 48° 37′ E, covering an area of about 7000 ha. A total of 85 sampling locations were designed using a systematic sampling grid with an interval of 1000 m and consequently, soil samples at all sampling sites were collected from the depths of 0–25, 25-50, 50–75 and 75–100 cm. The soil samples were taken to the laboratory, where they were air-dried and then passed through a 2 mm sieve. Prepared samples were subsequently analyzed for required soil properties in LSE (Sys et al., 1993) using standard methods. Besides, required climatic data for LSE were obtained from Znajan Synoptic Meteorological Station for a 50 years period (1961– 2011). Then, the limitation degrees for all of the important properties for wheat cropping were determined (Sys et al., 1993). Afterwards, the determined limitation degrees were converted to limitation scores using standard tables presented by Zhang (1989). Then, accumulated limitation scores were calculated for all locations and using an exponential equation, land-suitability membership scores were achieved. Finally, these scores were interpolated using ordinary kriging method in ArcGIS software (ver. 10.2; ESRI) and the final suitability map was produced.
Results and Discussion: The results showed that the climatic conditions for irrigated wheat was relatively good; so that the region received just 1 limitation score arisen from the mean temperature of the growing cycle. On the other hand, among the studied soil properties, the content of coarse fragments made some serious limitations for wheat farming in the studied area; so that more than half of sampling points showed moderate to very severe limitations in respect of this property. This high observed limitation of coarse fragments may be attributed to the youthfulness of studied soils; because according to Soil Taxonomy, the studied soils are mainly classified as Entisols, which are poorly developed and immature soils maintaining their rock structure to some extent. Other studied soil properties, like soil texture and calcium carbonate equivalent content, made no or slight limitations for wheat farming in the studied soils. Accumulated effects of limiting properties led to elevated limitation scores in some sampling locations, especially in northwestern parts of the area and consequently, their suitability classes were decreased. Attributing the specific land suitability classes to each sampling location based on the calculated limitation scores revealed some sharp variability in suitability classes thorough the relatively small distances, which seems to be less compatible with the widely accepted generality of soil continuity. Totally, the spatial distribution map of land-suitability membership scores showed appreciable variability thorough the area. This may suggest that the studied soil properties have relatively high short-range variations, which is originated from the soil substantial characteristics or management practices. Comparison of the interpolated suitability map with the point map revealed that the spatial variability pattern of land suitability for irrigated wheat was more gradual and more obvious in interpolated map.
Conclusions: Compared with common conventional land suitability procedures, continuous pattern of land suitability variation based on the fuzzy viewpoint to the soil variability, lead to more compatible results with the continuous nature of environmental variables. However, due to the long and short-range variations of various soil properties thorough the studied area, appreciable variations in land suitability for wheat farming was observed. Controlling this highly variable suitability of studied lands for irrigated wheat farming needs precise and thoughtful management strategies.

کلیدواژه‌ها [English]

  • Continuous maps, Geostatistics, Land evaluation
  • spatial distribution
1- Ahamed T.R.N., Rao K.G., and Murthy J.S.R. 2000. GIS-based fuzzy membership model for crop-land suitability analysis. Agricultural Systems, 63: 75-95.
2- Bagherzadeh A., and Paymard P. 2015. Assessment of land capability for different irrigation systems by parametric and fuzzy approaches in the Mashhad Plain, northeast Iran. Soil and Water Research, 10: 90–98.
3- Bhagat R.M., Singh Sh., Sood C., Rana R.S., Kalia V., Pradhan S., Immerzeel W., and Shrestha B. 2009.Land suitability analysis for cereal production in Himachal Pradesh (India) using geographical information system. Journal of the Indian Society of Remote Sensing, 37: 233–240.
4- Burrough P.A. 1989. Fuzzy mathematical methods for soil survey and land evaluation. European Journal of Soil Science, 40: 477-492.
5- Elaalem M. 2013. A comparison of parametric and fuzzy multi-criteria methods for evaluating land suitability for Olive in Jeffara plain of Libya. APCBEE Procedia, 5: 405-409.
6- Elsheikh R., Mohamed Shariff A.R.B., Amiri F., Ahmad N.B., Balasundram S.K., and Soom M.A.M. 2013. Agriculture land suitability evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Computers and Electronics in Agriculture, 93: 98-110.
7- Emadi M., Baghernejad M., Pakparvar M., and Kowsar S.A. 2010. An approach for land suitability evaluation using geostatistics, remote sensing, and geographic information system in arid and semiarid ecosystems. Environmental Monitoring and Assessment, 164: 501-511.
8- FAO. 1976. A framework for land evaluation. Soils Bulletin 32. Rome, Italy.
9- FAO. 2007. Land evaluation. Rome, Italy.
10- Givi J. 1997. Qualitative Evaluation of Land Suitability for Field and Fruit Crops. Iranian Soil and Water Research Institute. Tehran, Iran (in Persian)
11- Kalogirou S. 2002. Expert systems and GIS: an application of land suitability evaluation. Computers, Environment and Urban Systems, 26 (2–3): 89–112.
12- KamaliGh.,Mollaei P., and Behyar M.B. 2009. Development of Zanjan province dry land wheat atlas by using climatic data and GIS. Journal of Water and Soil, 24 (5): 894-907. (in Persian with English abstract)
13- Kamau S.W., Kuria D., and Gachari M.K. 2015. Crop-land suitability analysis using GIS and remote sensing in Nyandarua County, Kenya. Journal of Environment and Earth Science, 5 (6): 121-131.
14- MendasA., and Delali A. 2012. Integration of multi-criteria decision analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria. Computers and Electronics in Agriculture, 83: 117–126.
15- MohammadiJ., and Givi J. 2001. Land suitability evaluation for irrigated wheat in Falavarjan region (Isfahan) using fuzzy set theory. Water and Soil Science (Journal of Science and Technology of Agriculture and Natural Resources), 5 (1): 103-116. (in Persian with English abstract)
16- Mohammadi J. 2004. Pedometrics; Spatial Statistics. Tehran: Pelk. (In Persian)
17- Reshmivi T.V., Eldho T.I., and Jana R. 2009.A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds. Agricultural Systems, 101: 101–109.
18- SafariY., and EsfandiarpourBoroujeni I. 2013. The effect of intra-unit variability of the detailed soil map on the results of qualitative land suitability evaluation (A case study: main irrigated crops in the Shahrekord plain). Water and Soil Science (Journal of Science and Technology of Agriculture and Natural Resources), 17 (65): 101-111. (in Persian with English abstract)
19- Safari Y., Delavar M.A., Zhang Ch., Esfandiarpour-Boroujeni I., and Owliaie H.R. 2015. The influences of selected soil properties on Pb availability and its transfer to wheat (Triticumaestivum L.) in a polluted calcareous soil. Environmental Monitoring and Assessment, 187 (12). DOI: 10.1007/s10661-015-5001-9.
20- Salehi M.H., Khademi H., Givi J., and Karimian-Eghbal M. 2005. Variability of qualitative land suitability evaluation (parametric method) in a detailed map unit in Farrokhshahr area. The Scientific Journal of Agriculture, 27 (2): 115-126. (in Persian with English abstract)
21- Samranpong Ch., Ekasingh B., and Ekasingh M. 2009. Economic land evaluation for agricultural resource management in Northern Thailand. Environmental Modeling and Software, 24: 1381–1390.
22- Soil Survey Staff. 2014. Kellogg soil survey laboratory methodsmanual. Soil Survey Investigations Report No. 42, Version 5.0. R. Burt andSoil Survey Staff (ed.). USDA, NRCS, NCSS, USA.
23- Soil Survey Staff. 2014. Keys to soil taxonomy, 12th edition. NRCS, USDA, USA.
24- Sys C., Van Ranst E., and Debaveye J. 1991. Land evaluation. Part I: Principles in land evaluation and crop production calculations. Agricultural Publications No. 7. General Administration for Development Cooperation Place, Brussels, Belgium.
25- Triantafilis J., Ward W.T., and McBratney A.B. 2001. Land suitability in the Namoi Valley of Australia, using a continuous model. Soil Research, 39: 273-290.
26- Vieira S.R., and Paz Gonzalez A. 2003. Analysis of spatial variability of crop yield and soil properties in small agricultural plots. Bragantia, 62: 127–138.
27- Wang F., Hall G.B., and Subaryono A. 1990. Fuzzy information representation and processing in conventional GIS software: database design and application. International Journal of Geographic Information Sciences, 4 (3): 261–283.
28- WebsterR., and Oliver M.A. 2007. Geostatistics for Environmental Scientists. John Wiley and Sons, Chichester.
29- YanfangL., and Limin J. 2002. The application of BP networks to land suitability evaluation. Geospatial Information Science, 5 (1): 55-61.
30- Zanjan Meteorological Administration. 2015. Zanjan synoptic meteorological station. Available from: http://www.chaharmahalmet.ir/en/dataarchive.asp.
31- Zhang J., Su Y., Wu J., and Liang H. 2015. GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Computers and Electronics in Agriculture archive, 114: 202-211.
32- Zhang L.A. 1989. A land suitability evaluation system for specific rural purposes in New South Wales. Ph. D. dissertation, University of Sydney, NSW, Australia.
33- Ziadat F.M. 2007. Land suitability classification using different sources of information: soil maps and predicted soil attributes in Jordan. Geoderma, 140: 73–80.
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