Qualitative land suitability evaluation for the growth of onion, potato, maize, and alfalfa on soils of the Khalat pushan research station

Biologia ◽  
2006 ◽  
Vol 61 (19) ◽  
Author(s):  
Ali Jafarzadeh ◽  
Goldasteh Abbasi
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Research Work ◽  
Land Suitability ◽  
Research Station ◽  
Square Root ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Limitation Method ◽  
Square Root Method

AbstractAn area suitability assessment for crop production requires a considerable effort, which can provide necessary information for optimum land use. Agricultural land use has benefited significantly from the use of suitability systems in recent years. These systems have jointly showed their capabilities in the evaluation and assessment of suitable sites for a variety of crops.In the present study and research work land suitability evaluation (qualitative classification) has been determined for onion, potato, maize and alfalfa in Khalat pushan research station of Tabriz University in East Azerbaijan by using of Simple Limitation method (SLM), Limitation Method regarding Number and Intensity (LMNI) and parametric (PM) such as square root and storie methods. Climate, soil and landscape qualities and their characteristics which most influence crop suitability have been combined by the adopted methodology. In this study economic factors have been excluded and moderate management has been assumed. The use of different methods showed that the most important limitation factors are climate, lime, pH, OM, texture and gravel alone or in combinations. Evaluation indicates that SLM and LMNI show similar suitability classes, which confirms the previous findings for several crops by other researchers. However, in many cases the use of parametric methods, especially the square root method revealed to be more realistic in showing the distinguished suitability classes in many cases. Therefore, based on the obtained results (especially by the square root method), the cultivation of alfalfa, potato and onion can be recommended, except for soil profile 2, which is not suitable (N2) for onion.

scholarly journals Land suitability evaluation of bilverdy research station for wheat, barley, alfalfa, maize and safflower

2008 ◽  
Vol 3 (Special Issue No. 1) ◽  
pp. S81-S88 ◽  
Author(s):  
A.A. Jafarzadeh ◽  
P. Alamdari ◽  
M.R. Neyshabouri ◽  
S. Saedi M R N
Keyword(s):  
Research Work ◽  
Land Suitability ◽  
Limiting Factors ◽  
Research Station ◽  
Square Root ◽  
Parametric Methods ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Limitation Method ◽  
Square Root Method

In the present study and research work, land suitability evaluation (qualitative classification) was made for the Bilverdy research station of the Islamic Azad University in East Azarbaijan for wheat, barley, alfalfa, maize and safflower. The Simple Limitation Method (SLM), the Limitation Method regarding Number and Intensity (LMNI) and the Parametric Methods (PM) such as the square-root and the Storie methods were used. The landscape, climate and soil and characteristics that influence suitability of the land for particular crops have been combined according to the adopted methodology. Economic factors were excluded and moderate level of management was assumed. The results of different methods show that the most important limiting factors are climate, pH, organic matter (OM), gravel, salinity and sodicity, taken either alone or in combination. For safflower, the cation exchange capacity (CEC) can be added to these factors. Evaluation by the SLM and LMNI methods result in similar suitability classes, which confirms previous findings by other researchers for the same crops. However, in many cases the use of parametric methods, especially the square-root method, turned to be more realistic in distinguishing separate suitability classes. This study not only compares different methods and their results but also evaluates the suitability of the study area for particular crops. According to the square-root method, the area can be recommended as marginally suitable for cultivation of wheat, barley, alfalfa and safflower and is expected to yield about 40–65% of optimal production.

scholarly journals Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Land Suitability ◽  
Soil Survey ◽  
Agricultural Land Use ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Land Use Allocation ◽  
User Friendly

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.

scholarly journals Optimization of the Weighted Linear Combination Method for Agricultural Land Suitability Evaluation Considering Current Land Use and Regional Differences

2020 ◽  
Vol 12 (23) ◽  
pp. 10134
Author(s):  
Shouqiang Yin ◽  
Jing Li ◽  
Jiaxin Liang ◽  
Kejing Jia ◽  
Zhen Yang ◽  
...  
Keyword(s):  
Land Use ◽  
Regional Differences ◽  
Agricultural Land ◽  
Land Suitability ◽  
Spatial Accessibility ◽  
Combination Method ◽  
Soil Conditions ◽  
Weighted Linear Combination ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation

This study was aimed at optimizing the weighted linear combination method (WLC) for agricultural land suitability evaluation (ALSE) through indicator selection, weight determination, and classification of overall suitability scores in Handan, China. Handan is a representative research area with distinct agricultural advantages and regional differences in land use, where the expansion of construction land has led to a rapid decrease of agricultural land in recent years. Natural factors (topography, climate, soil conditions, and vegetation cover) and socioeconomic factors (land use and spatial accessibility) were selected to establish a more comprehensive evaluation system. The index weight was calculated by the mutual information between index suitability and current land use. The consistency index was used to identify the boundary value dividing the overall suitability score into a suitable category and unsuitable category in each sub-region. The results demonstrated that the optimized WLC-ALSE model outperformed the comparison models using conventional methods in terms of the consistency between the evaluation results and current land use. Owing to the increasing limitations of topography, soil conditions, spatial accessibility, and land use, the proportions of suitable land in Zone 1, Zone 2, and Zone 3 were 77.4%, 67.5%, and 30.9%, respectively. The agricultural land unsuitable for agriculture (14.5%) was less than non-agricultural land suitable for agriculture (7.4%), indicating that agricultural land had low growth potential in Handan. Finally, specific recommendations were made to improve agricultural land suitability, alleviate land use conflicts, and further optimize the model. The results can provide effective guidance for WLC-ALSE and land use decision-making for sustainable agriculture.

scholarly journals Climate, soil and land-use based land suitability evaluation for oil palm production in Ghana

2016 ◽  
Vol 81 ◽  
pp. 1-14 ◽  
Author(s):  
Tiemen Rhebergen ◽  
Thomas Fairhurst ◽  
Shamie Zingore ◽  
Myles Fisher ◽  
Thomas Oberthür ◽  
...  
Keyword(s):  
Land Use ◽  
Oil Palm ◽  
Land Suitability ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation

scholarly journals Soil suitability evaluation for crop selection using fuzzy sets methodology

2016 ◽  
Vol 107 (1) ◽  
pp. 159 ◽  
Author(s):  
Amin SHARIFIFAR ◽  
Hadi GHORBANI ◽  
Fereydoon SARMADIAN
Keyword(s):  
Fuzzy Sets ◽  
Agricultural Land ◽  
Wheat Yield ◽  
Clay Content ◽  
Land Evaluation ◽  
Rooting Depth ◽  
Square Root ◽  
Suitability Evaluation ◽  
North East ◽  
Limitation Method

In this study appraisal of four different agricultural land evaluation methods including the so-called Storie method, square root method, maximum limitation method and fuzzy sets method, was done. The study was performed in Bastam region, located in Semnan province at the north east of Iran.<strong> </strong>Three crops including tomato, wheat and potato were assessed for the purpose of this research. Soil characteristics assessed were rooting depth, CaCo<sub>3, </sub>organic carboncontent, clay content, pH and slope gradient. Statistical analyses were done at significance levels of <em>α </em>= 0.1 and <em>α</em> = 0.05. Results of regression between land indices, calculated through the four methods, with observed yields of the crops, showed that the regression were significant in fuzzy sets method for all of the assessed crops at <em>p </em>= 0.05 but not significant in maximum limitation method for any of the crops. The Storie and square root methods also showed a significant correlation with wheat yield at <em>p </em>= 0.1. This study was a demonstrative test of fuzzy sets theory in land suitability evaluation for agricultural uses, which revealed that this methodology is the most correct method in given circumstances.

Comparison of Boolean and Fuzzy Classification Methods in Land Suitability Analysis by Using Geographical Information Systems

1992 ◽  
Vol 24 (4) ◽  
pp. 497-516 ◽  
Author(s):  
G B Hall ◽  
F Wang ◽  
Subaryono
Keyword(s):  
Land Use ◽  
Geographical Information Systems ◽  
Agricultural Land ◽  
Land Suitability ◽  
Fuzzy Classification ◽  
Geographical Information ◽  
Suitability Analysis ◽  
Suitability Evaluation ◽  
Fuzzy Methods ◽  
Gis Software

In this paper the information content of Boolean and fuzzy-set-based approaches to the problem of analyzing land suitability for agriculture within a geographical information system (GIS) is assessed. First, the two approaches to this problem are stated and formalized in the context of land-suitability evaluation. A database comprising 642 unique areas, 7 land qualities, 13 land characteristics, and 2 crop types is defined and described. Land-use suitability ratings for two crops, wetland rice and soybean, are generated by using Boolean and fuzzy methods. Results produced by the two methods are compared in terms of their usefulness for agricultural land-use plannning. The ARC/INFO vector-based GIS software package is utilized. The study area is the Cimanuk watershed in northwest Java, Indonesia.

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