A comparative assessment of land suitability evaluation methods for agricultural land use planning at village level

2018 ◽  
Vol 79 ◽  
pp. 146-163 ◽  
Author(s):  
Duraisamy Vasu ◽  
Rajeev Srivastava ◽  
Nitin G. Patil ◽  
Pramod Tiwary ◽  
Padikkal Chandran ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Evaluation Methods ◽  
Comparative Assessment ◽  
Land Suitability ◽  
Agricultural Land Use ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Village Level

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 A GIS-Based Multicriteria Analysis of Land Suitability for Groundnut Crop in Nghe An Province, Vietnam

2021 ◽  
pp. 85-95
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Soil Texture ◽  
Soil Type ◽  
Agricultural Land ◽  
Soil Depth ◽  
Land Suitability ◽  
Agricultural Land Use ◽  
Total Rainfall ◽  
Average Temperature

This study focuses on identifying the potential lands for growing groundnut in Dien Chau district of Nghe An province (Vietnam), where groundnut is one of the major crops and brings high income for farmers. Based on the ecological requirements of groundnut, six criteria, including Soil Type, Soil Texture, Soil Depth, Slope, Average Temperature, and Average Total Rainfall in the planting season, were used. The Analytic Hierarchy Process method, commonly used in agricultural land use planning, was utilized to determine each criterion's weights via experts’ opinions. A pairwise comparison matrix was established to support this assessment process. The results revealed that Soil Texture showed the highest weight (0.31727) for groundnut farming, which was followed by Average Temperature (0.21131), Soil Type (0.17426), and Soil Depth (0.13982). Slope and Average Total Rainfall were the lowest weight factors, with 0.08122 and 0.07612, respectively. The weighted sum overlay analysis was implemented by ArcGIS software to generate the spatial distribution of land suitability of groundnut. The land suitability map indicated that 6830.07 ha (22.26%) of the studied area was highly suitable (S1), 10413.85 ha (33.95%) was moderately suitable (S2), 4336.76 ha (14.14%) was marginally suitable (S3), and 424.99 ha (1.39%) was not suitable (N). The total area of constrained area, including Waterbody and Built-up Land, was 8671.39 ha, accounting for 28.27% of the total area. Finally, the proposed land for groundnut cultivation was 12928.69 ha. The outcomes of this study may be regarded as a good reference for local government in agricultural land use planning.

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.

Land Resource Inventory Towards Village Level Agricultural Land Use Planning

2018 ◽  
pp. 643-668
Author(s):  
V. Ramamurthy ◽  
S. K. Singh ◽  
S. Chattaraj ◽  
G. P. Obi Reddy ◽  
S. C. Ramesh Kumar
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Land Resource ◽  
Village Level ◽  
Resource Inventory

scholarly journals Assessment of different methods of soil suitability classification for wheat cultivation

2012 ◽  
Vol 29 (2) ◽  
pp. 47-54 ◽  
Author(s):  
Amin Sharififar
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Crop Production ◽  
Land Suitability ◽  
Land Evaluation ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
North East ◽  
Wheat Cultivation ◽  
The Impact

Abstract This study investigated the impact of soil temperature and soil moisture on the virulence To protect soil resources and also to achieve optimal crop production, it is essential to dedicate the most suitable land to a specific land use. Achieving this goal is possible through land use planning in conjunction with land evaluation. In this study a land suitability evaluation was carried out for wheat (Triticum aestivum) cultivation, and was performed in the Bastam region located in the north east of Iran. 104 soil profiles were sampled and 11 land units were separated. In order to find out the most correct method of physical land suitability evaluation, three methods of combining soil criteria for soil index calculation for wheat production were tested. These methods are based on parametric and maximum limitation approaches, and the results of each method were compared with the observed yield. Ultimately, the maximum limitation method was found to be the best method and was used for classification of the suitability of the study area lands for wheat cultivation. The varying results of applying different ways of evaluation in this study indicate that the accuracy of the method of land evaluation adopted should be checked before using the results for any purposes.

Sign in / Sign up

Export Citation Format

Share Document