scholarly journals Quantitative and qualitative land suitability assessment for rice cultivation, north of Iran

2019 ◽  
Vol 52 (2) ◽  
pp. 195
Author(s):  
Amir Moloudi ◽  
Nafiseh Yaghmaeian Mahabadi

<p>Evaluation of arable lands and agricultural potential to support current and future agricultural uses is one of the best agricultural policies for food security in developing countries. Hence, studies related to land suitability evaluation can lead to sustainable land use. The aims of this research were qualitative land suitability evaluation, land production potential prediction and quantitative land suitability evaluation on the basis of the FAO model for rice in Sangar region, northern Iran. Qualitative evaluation was carried out using the maximum limitation and parametric methods. Land production potential was determined by the agro-ecological zoning (AEZ) model. Land suitability classes according to maximum limitation, Storie and square root parametric methods are determined S3, S3-N1 and S2-S3, respectively. Rice radiation-thermal production potential was calculated as 7.65 t/ha; mean land production potentials, using Storie and square root formulas were predicted respectively, as 3.69 and 4.52 t/ha and mean actual yield was estimated as 2.81 t/ha. The results of this study showed that use of the square root formula is more appropriate than Storie formula as far as land production potential calculation is concerned. Soil limitations and weak management level have caused majority of land units to have moderate quantitative suitability (S2) for rice cultivation. Comparison between qualitative and quantitative suitability classes demonstrates that quantitative suitability classes are significantly increased due to crop adaptation with climate agents.</p>

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

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.


Jurnal Solum ◽  
2008 ◽  
Vol 5 (1) ◽  
pp. 14
Author(s):  
Juniarti Juniarti ◽  
Yulnafatmawita Yulnafatmawita ◽  
Sudewi Isminingsih

This research discusses the land suitability of mangosteen field in Kab.50 Kota Kota Payakumbuh, predict production potential of mangosteen based on the climate suitability, soil and management its field.  Composite soil sample is taken through drilling 0 – 60 cm which is carried out on research site.  Quantitative model from FAO (1976) is used to evaluate the land suitability.  This model combines enviromental data, climate and soil condition (soil physic and chemistry characteristic), so that production potential of field based on climate (Climate Production Potential = CPP) can be maesured quantitatively.  By entering the real data of plant production, this model can predict the real plant production in a field (Land Production Potential = LPP).  Result of this research shows that climate and physical condition of land are very suitability to grow mangosteen, and its level appropriateness is S1 (very suitability).  Then, production potential 3 – 12 ton/ha/year can be increased to > 15 ton/ha/year if the management of land is improved.Key Words :  Land suitability evaluation, Climatic Production Potential, Land  Production Potential


Biologia ◽  
2006 ◽  
Vol 61 (19) ◽  
Author(s):  
Ali Jafarzadeh ◽  
Goldasteh Abbasi

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.


2020 ◽  
Vol 202 ◽  
pp. 14004
Author(s):  
Ircham Ali ◽  
Vincensius Gunawan ◽  
Kusworo Adi

Land suitability evaluation has an important role in determining the environmental boundaries of sustainable land resource management. The purpose of this study is to evaluate the suitability of land use in rice cultivation in Magelang, Indonesia. Environmental factors such as rainfall, drainage, depth, pH, organic matter content, slopes, and erosion level are used as criteria compared to 5 alternative lands (Sawangan, Mangunsari, Tirtosari, Podosoko, and Kapuhan). The ELECTRE method as one of the multi-criteria decision-making methods chosen to solve the concept ambiguity problem in land suitability assessment. The result shows that the application of this method is quite effective for decision making so that alternatives are obtained that have the highest land use suitability compared to other alternatives for environmentally friendly rice cultivation. Finally, a decision support system with a web-based ELECTRE Method is presented to facilitate decision-makers in obtaining more accurate land suitability information.


2021 ◽  
Vol 807 (3) ◽  
pp. 032091
Author(s):  
Nurmegawati ◽  
Yartiwi ◽  
I C Siagian ◽  
Yesmawati ◽  
S Yuliasari ◽  
...  

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati

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.


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