Assessment of Soil Fertility for Sugar Beet Production Using Fuzzy AHP Approach and GIS in the Northeastern region of Iran

被引：12

作者：

Bagherzadeh A. ^{[1
]}

Gholizadeh A. ^{[1
]}

机构：

[1] Department of Agriculture, Mashhad Branch, Islamic Azad University, P.O Box: 91735-413, Mashhad

来源：

Agricultural Research | 2018年 / 7卷 / 01期

关键词：

Fariman plain; Fuzzy AHP; GIS; Soil fertility; Sugar beet;

D O I：

10.1007/s40003-018-0295-9

中图分类号：

学科分类号：

摘要：

Assessment of soil fertility seems to be a crucial step in appropriate site-specific management for crop production especially for sugar beet cultivation in the Northeastern region of Iran. For preparing the soil fertility zonation map for sugar beet production, the most important soil chemical parameters and nutrient elements affecting soil fertility in 0–30 cm soil depth were analyzed and mapped. Implementing fuzzy analytical hierarchy process (AHP) approach, the S-shaped fuzzy membership function was defined for each factor to fuzzify soil fertility parameters. The soil fertility map was prepared by weighing factor layers through AHP approach, the summation of factor layers, and subsequently inverse distance weighted interpolation function in geographic information system. The values of soil fertility in the scale of 0–1 ranged from 0.13 to 0.39, classified the study area in low (1205.41 km2) and very low fertility (1366.59 km2), which comprises 46.9 and 53.1% of the surface area, respectively. It was revealed that there is a high correlation (R2 = 0.98) between soil fertility values and sugar beet yield area, which validate the zonation mapping of soil fertility in the study. With respect to the findings obtained in our study, the fuzzy AHP approach may clearly apply in similar regions in estimating soil fertility index for a specific crop. © 2018, NAAS (National Academy of Agricultural Sciences).

引用

页码：61 / 71

页数：10

共 37 条

[1]

AamaAzghadi A., Khorassani R., Mokarram M., Moezi A., Soil fertility evaluation based on soil K, P and organic matter factors for wheat by using fuzzy logic-AHP and GIS techniques, J Water Soil, 24, 5, pp. 973-984, (2010)

[2]

Akinrinde E.A., Obigbesan G.O., Gaiser T., Electro-ultrafiltration (EUF) Technique in relation to conventional methods of soil testing for the determination of available P, Ca, Mg and NO3-N in some tropical soils, J Agron, 5, pp. 375-381, (2006)

[3]

Bijanzadeh E., Mokarram M., The use of fuzzy- AHP methods to assess fertility classes for wheat and its relationship with soil salinity: a case study: east of Shiraz, Iran, Aust J Crop Sci, 7, 11, pp. 1699-1706, (2013)

[4]

Bohra J.S., Doerfling K., Potassium nutrition of rice (Oryza sativa L.) varieties under NaCl salinity, Plant Soil, 152, pp. 299-303, (1993)

[5]

Bottero M., Comino E., Riggio V., Application of the analytic hierarchy process and the analytic network process for the assessment of different wastewater treatment systems, Environ Model Softw, 26, 10, pp. 1211-1224, (2011)

[6]

Burrough P.A., Fuzzy mathematical methods for soil survey and land suitability, J Soil Sci, 40, pp. 477-492, (1989)

[7]

Burrough P.A., McDonnell R.A., Principles of geographical information systems, (2000)

[8]

Burrough P.A., MacMillan R.A., Deursen W., Fuzzy classification method for determining land suitability from soil profile observations and topography, J Soil Sci, 43, pp. 193-210, (1992)

[9]

Cassel-Gintz M.A., Ludeke M.K., Petschel-Held G., Reusswig F., Plochl M., Lammel G., Schellnhuber H.J., Fuzzy logic based global assessment of the marginality of agricultural land use, Clim Res, 63, 8, pp. 135-150, (1997)

[10]

Chan F.T.S., Chan M.H., Tang N.K.H., Evaluation methodologies for technology selection, J Mater Process Technol, 107, pp. 330-337, (2000)

← 1 2 3 4 →