Land-use suitability in Northeast Iran: Application of AHP-GIS hybrid model

Memarbashi, E.; Azadi, Hossein; Barati, A. A.; Mohajeri, F.; Passel, S. V.; Witlox, F.

doi:10.3390/ijgi6120396

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Land-use suitability in Northeast Iran: Application of AHP-GIS hybrid model

Memarbashi, E.; Azadi, Hossein; Barati, A. A. et al.

2017 • In ISPRS International Journal of Geo-Information, 6 (12)

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https://hdl.handle.net/2268/260157

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10.3390/ijgi6120396

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Keywords :

Agricultural land uses; AHP-GIS hybrid method; Grassland uses; Land suitability; Sangab Plain

Abstract :

[en] Land-use suitability is the ability of a given type of land to support a defined use. Analysis of land-use suitability requires the consideration of a variety of criteria, not only the natural/physical capacity of a land unit, but also its socioeconomic and environmental impact implications. As land suitability is assessed within a Geographic Information System (GIS) environment, it is formulated as a multi-criteria decision making (MCDM) problem. The study was conducted in the Sangab Plain in northeast Iran. We investigated the study area’s suitability for grassland and agricultural uses. A hybrid method of the analytic hierarchy process (AHP) and GIS methodology was applied to evaluate land suitability based on a set of criteria and sub-criteria. Results showed that 20% of the study area had high (rich), 65% had medium (fair), and 15% had low (poor) suitability for agriculture. In terms of grassland use, the comparable amounts were, respectively, about 7%, 23%, and 70%. The lands of the Sangab Plain have medium potential for agricultural use and low potential for grassland use. This paper used both qualitative and quantitative techniques. © 2017 by the authors.

Disciplines :

Agriculture & agronomy

Author, co-author :

Memarbashi, E.; Department of Agroecology, Faculty of Agriculture, Azad University of Mashhad, Mashhad, 9187864584, Iran

Azadi, Hossein ; Université de Liège - ULg

Barati, A. A.; College of Agriculture and Natural Resources, Faculty of Agricultural Economics and Development, Department of Agricultural Management and Development, University of Tehran, Tehran, 1417466191, Iran

Mohajeri, F.; Department of Agroecology, Faculty of Agriculture, Azad University of Mashhad, Mashhad, 9187864584, Iran

Passel, S. V.; Faculty of Applied Economics, Department of Engineering Management, University of Antwerp, Prinsstraat 13, Antwerp, B-2000, Belgium, Centre for Environmental Sciences, Hasselt University, Martelarenlaan 42, Hasselt, B-3500, Belgium

Witlox, F.; Department of Geography, Ghent University, Ghent, B-9000, Belgium, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, 210016, China, Department of Geography, University of Tartu, Tartu, 21014, Estonia

Language :

English

Title :

Land-use suitability in Northeast Iran: Application of AHP-GIS hybrid model

Publication date :

2017

Journal title :

ISPRS International Journal of Geo-Information

eISSN :

2220-9964

Publisher :

MDPI AG, Basel, Switzerland

Volume :

Issue :

Peer reviewed :

Peer Reviewed verified by ORBi

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since 20 May 2021

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Bibliography

Bhagat, V.S. Use of remote sensing techniques for robust digital change detection of land: A review. Recent Pat. Space Technol. 2012, 2, 123–144. [CrossRef]
Zolekar, R.B.; Bhagat, V. Use of IRS P6 LISS-IV data for land suitability analysis for cashew plantation in hilly zone. Asian J. Geoinform. 2014, 14, 23–35.
Zolekar, R.B.; Bhagat, V.S. Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Comput. Electron. Agric. 2015, 118, 300–321. [CrossRef]
Sivakumar, M.V.K.; Ndiang’ui, N. Climate and Land Degradation; Springer: Berlin/Heidelberg, Germany, 2007.
Food and Agriculture Organization of the United Nations (FAO); World Food Programme (WFP); International Fund for Agricultural Development (IFAD). The State of Food Insecurity in the World 2012: Economic Growth Is Necessary but Not Sufficient to Accelerate Reduction of Hunger and Malnutrition; FAO: Rome, Italy, 2012; Volume 10.
Nwer, B.A.B. The Application of Land Evaluation Technique in the North-East of Libya. Ph.D. Thesis, University of Tripoli, Tripoli, Libya, January 2006.
Joerin, F.; Thériault, M.; Musy, A. Using GIS and outranking multicriteria analysis for land-use suitability assessment. Int. J. Geogr. Inf. Sci. 2001, 15, 153–174. [CrossRef]
Zhang, J.; Su, Y.; Wu, J.; Liang, H. GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Comput. Electron. Agric. 2015, 114, 202–211. [CrossRef]
Elsheikh, R.; Shariff, A.R.B.M.; Amiri, F.; Ahmad, N.B.; Balasundram, S.K.; Soom, M.A.M. Agriculture Land Suitability Evaluator (ALSE): A decision and planning support tool for tropical and subtropical crops. Comput. Electron. Agric. 2013, 93, 98–110. [CrossRef]
Marinoni, O. A discussion on the computational limitations of outranking methods for land-use suitability assessment. Int. J. Geogr. Inf. Sci. 2006, 20, 69–87. [CrossRef]
McHarg, I.L.; Mumford, L. Design with Nature; American Museum of Natural History: New York, NY, USA, 1969.
Bronsveld, K.; Huizing, H.; Omakup, M. Improving land evaluation and land use planning. ITC J. 1994, 4, 359–365.
Rossiter, D.G. A theoretical framework for land evaluation. Geoderma 1996, 72, 165–190. [CrossRef]
Bozdag, A.; Yavuz, F.; G nay, A.S. AHP and GIS based land suitability analysis for Cihanbeyli (Turkey) County. Environ. Earth Sci. 2016, 75, 1–15. [CrossRef]
Saaty, T.L. The Analytic Hierarchy Process; McGraw-Hill International: New York, NY, USA, 1980.
Aragonés-Beltrán, P.; Chaparro-González, F.; Pastor-Ferrando, J.-P.; Pla-Rubio, A. An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy 2014, 66, 222–238. [CrossRef]
Herrero, M.; Fawcett, R.; Dent, J. Bio-economic evaluation of dairy farm management scenarios using integrated simulation and multiple-criteria models. Agric. Syst. 1999, 62, 169–188. [CrossRef]
Jaafari, A.; Najafi, A.; Melón, M.G. Decision-making for the selection of a best wood extraction method: An analytic network process approach. For. Policy Econ. 2015, 50, 200–209. [CrossRef]
Mazzetto, F.; Bonera, R. MEACROS: A tool for multi-criteria evaluation of alternative cropping systems. Eur. J. Agron. 2003, 18, 379–387. [CrossRef]
Rozman, Č.; Pazek, K.; Bavec, F.; Bavec, M.; Turk, J.; Majkovič, D. A multi-criteria analysis of spelt food processing alternatives on small organic farms. J. Sustain. Agric. 2006, 28, 159–179. [CrossRef]
Tiwari, D.; Loof, R.; Paudyal, G. Environmental-economic decision-making in lowland irrigated agriculture using multi-criteria analysis techniques. Agric. Syst. 1999, 60, 99–112. [CrossRef]
Rossiter, D. Economic land evaluation: Why and how. Soil Use Manag. 1995, 11, 132–140. [CrossRef]
Van de Putte, R. Land evaluation and project planning. ITC J. 1989, 2, 139–143.
Gemitzi, A.; Tsihrintzis, V.A.; Petalas, C. Use of GIS and multi-criteria evaluation techniques in environmental problems. Multimed. Serv. Intell. Environ. 2010, 3, 5–62.
Krois, J.; Schulte, A. GIS-based multi-criteria evaluation to identify potential sites for soil and water conservation techniques in the Ronquillo watershed, northern Peru. Appl. Geogr. 2014, 51, 131–142. [CrossRef]
Al-Adamat, R.; Diabat, A.; Shatnawi, G. Combining GIS with multicriteria decision making for siting water harvesting ponds in Northern Jordan. J. Arid Environ. 2010, 74, 1471–1477. [CrossRef]
Ekmek ioĝlu, M.; Kaya, T.; Kahraman, C. Fuzzy multicriteria disposal method and site selection for municipal solid waste. Waste Manag. 2010, 30, 1729–1736. [CrossRef] [PubMed]
Baiocchi, V.; Lelo, K.; Polettini, A.; Pomi, R. Land suitability for waste disposal in metropolitan areas. Waste Manag. Res. 2014, 32, 707–716. [CrossRef] [PubMed]
Tavares, G.; Zsigraiová, Z.; Semiao, V. Multi-criteria GIS-based siting of an incineration plant for municipal solid waste. Waste Manag. 2011, 31, 1960–1972. [CrossRef] [PubMed]
Moeinaddini, M.; Khorasani, N.; Danehkar, A.; Darvishsefat, A.A. Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste Manag. 2010, 30, 912–920. [CrossRef] [PubMed]
Patil, V.; Sankhua, R.; Jain, R. Analytic hierarchy process for evaluation of environmental factors for residential land use suitability. Int. J. Comput. Eng. Res. 2012, 2, 182–189.
Ambarwulan, W.; Setiawan, Y.; Walter, C. Assessing the Suitability and Availability of Land for Agriculture in Tuban Regency, East Java, Indonesia. Appl. Environ. Soil Sci. 2016, 13. [CrossRef]
Kiker, G.A.; Bridges, T.S.; Varghese, A.; Seager, T.P.; Linkov, I. Application of multicriteria decision analysis in environmental decision making. Integr. Environ. Assess. Manag. 2005, 1, 95–108. [CrossRef] [PubMed]
Vlek, P.L.G.; Azadi, H.; Bhaduri, A.; Bharati, L.; Braimoh, A.K.; Martius, C.; Sunderland, T.; Taheri, F. The trade offs in multi-purpose land use. In Land Degradation and the Sustainable Development Goals: Threats and Potential Remedies; Vlek, P., Tamane, L., Eds.; International Centre for Tropical Agriculture (CIAT): Nairobi, Kenya, 2017; pp. 5–17.
Makhdoom, M. Fundamental of Land Use Planning; Tehran University Press: Tehran, Iran, 2001.
Koulouri, M.; Giourga, C. Land abandonment and slope gradient as key factors of soil erosion in Mediterranean terraced lands. Catena 2007, 69, 274–281. [CrossRef]
Bocco, G.; Mendoza, M.; Velázquez, A. Remote sensing and GIS-based regional geomorphological mapping—A tool for land use planning in developing countries. Geomorphology 2001, 39, 211–219. [CrossRef]
Prato, T. Evaluating land use plans under uncertainty. Land Use Policy 2007, 24, 165–174. [CrossRef]
Yalew, S.G.; van Griensven, A.; van der Zaag, P. AgriSuit: A web-based GIS-MCDA framework for agricultural land suitability assessment. Comput. Electron. Agric. 2016, 128, 1–8. [CrossRef]
Romano, G.; Dal Sasso, P.; Trisorio Liuzzi, G.; Gentile, F. Multi-criteria decision analysis for land suitability mapping in a rural area of Southern Italy. Land Use Policy 2015, 48, 131–143. [CrossRef]
Hamzeh, S.; Mokarram, M.; Alavipanah, S.K. Combination of Fuzzy and AHP methods to assess land suitability for barley: Case Study of semi arid lands in the southwest of Iran. Desert 2014, 19, 173–181.
Jankowski, P. Integrating geographical information systems and multiple criteria decision-making methods. Int. J. Geogr. Inf. Syst. 1995, 9, 251–273. [CrossRef]
Mangun, W.R.; Henning, D.H. Managing the Environmental Crisis: Incorporating Competing Values in Natural Resource Administration; Duke University Press: Durham, NC, USA, 1999.
Robinson, R.A. Conservation Security Program: Despite Cost Controls, Improved USA Management Is Needed to Ensure Proper Payments and Reduce Duplication with Other Programs; DIANE Publishing Company: Collingdale, PA, USA, 2006.
Hussein, J.; Yu, B.; Ghadiri, H.; Rose, C. Prediction of surface flow hydrology and sediment retention upslope of a vetiver buffer strip. J. Hydrol. 2007, 338, 261–272. [CrossRef]
Adekalu, K.; Olorunfemi, I.; Osunbitan, J. Grass mulching effect on infiltration, surface runoff and soil loss of three agricultural soils in Nigeria. Bioresour. Technol. 2007, 98, 912–917. [CrossRef] [PubMed]
Novotná, J.; Badalíková, B. The Influence of Grass Species Composition on Fishpond Dikes on Soil Infiltration. Acta Univ. Agric. Silvic. Mendel. Brun. 2016, 64, 1619–1623. [CrossRef]
Natural Resources Conservation Service (NRCS); US Department of Agriculture (USDA). National Handbook of Conservation Practices; US Department of Agriculture/Natural Resources Conservation Service: Washington, DC, USA, 1999.
Agricultural Bank. The Condition of Agricultural Lands Use Changes; Agricultural Bank: Tehran, Iran, 2011.
Asadi, A.; Barati, A.; Kalantari, K.; Odeh, I. Study of Relationship Between Roads Network Development and Agricultural Land Conversion in Iran NorthWest. Int J. Environ. Res. 2016, 10, 51–58.
Barati, A.A.; Asadi, A.; Kalantari, K.; Azadi, H.; Mamoorian, M. Analyzing the impacts of agricultural land use change according to the experts opinion of agricultural land organization in Iran. Iran. J. Agric. Econ. Dev. Res. 2015, 45, 639–650.
Barati, A.A.; Asadi, A.; Kalantari, K.; Azadi, H.; Witlox, F. Agricultural Land Conversion in Northwest Iran. Int. J. Environ. Res. 2015, 9, 281–290.
Azadi, H.; Barati, A.A.; Rafiaani, P.; Raufirad, V.; Zarafshani, K.; Mamoorian, M.; Lebailly, P. Agricultural Land Conversion Drivers in Northeast Iran: Application of Structural Equation Model. Appl. Spat. Anal. Policy 2016, 9, 591–609. [CrossRef]
Azadi, H.; Barati, A.A.; Rafiaani, P.; Taheri, F.; Gebrehiwot, K.; Witlox, F.; Lebailly, P. Evolution of land use-change modeling: Routes of different schools of knowledge. Landsc. Ecol. Eng. 2016, 13, 1–14. [CrossRef]
Olaniyi, A.O.; Abdullah, A.M.; Ramli, M.F.; Alias, M.S. Assessment of drivers of coastal land use change in Malaysia. Ocean Coast. Manag. 2012, 67, 113–123. [CrossRef]
Rótolo, G.C.; Montico, S.; Francis, C.A.; Ulgiati, S. How land allocation and technology innovation affect the sustainability of agriculture in Argentina Pampas: An expanded life cycle analysis. Agric. Syst. 2015, 141, 79–93. [CrossRef]
Wang, J.; Chen, Y.; Shao, X.; Zhang, Y.; Cao, Y. Land-use changes and policy dimension driving forces in China: Present, trend and future. Land Use Policy 2012, 29, 737–749. [CrossRef]
Zarkesh, M.M.K.; Ghoddusi, J.; Zaredar, N.; Soltani, M.J.; Jafari, S.; Ghadirpour, A. Application of spatial analytical hierarchy process model in land use planning. J. Food Agric. Environ. 2010, 8, 970–975.
Bin, Q.; He-Jian, Z.; Song-Lin, C.; R mkens, M.; Bi-Cheng, L. Land Suitability Assessment and Land Use Change in Fujian Province, China** Project supported by the Provincial Natural Science Foundation of Fujian, China (No. D0210010). Pedosphere 2007, 17, 493–504.
Roberts, M.C.; Randolph, J.C.; Chiesa, J.R. A land suitability model for the evaluation of land-use change. Environ. Manag. 1979, 3, 339–352. [CrossRef]
Pierce, S.M.; Cowling, R.M.; Knight, A.T.; Lombard, A.T.; Rouget, M.; Wolf, T. Systematic conservation planning products for land-use planning: Interpretation for implementation. Biol. Conserv. 2005, 125, 441–458. [CrossRef]
Al-Shalabi, M.A.; Mansor, S.B.; Ahmed, N.B.; Shiriff, R. GIS Based Multicriteria Approaches to Housing Site Suitability Assessment. Presented at the XXIII FIG Congress, Shaping the Change, Munich, Germany, 8–13 October 2006.
Chen, Y.; Khan, S.; Padar, Z. Irrigation intensification or extensification assessment: A GIS-based spatial fuzzy multi-criteria evaluation. In Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Shanghai, China, 25–27 June 2008.
Duc, T.T. Using GIS and AHP technique for land-use suitability analysis. Presented at the International Symposium on Geoinformatics for Spatial infrastructure Development in Earth and Allied Sciences, Ho Chi Minh City, Vietnam, 9–11 November 2006.
Javaheri, H.; Nasrabadi, T.; Jafarian, M.; Rowshan, G.; Khoshnam, H. Site selection of municipal solid waste landfills using analytical hierarchy process method in a geographical information technology environment in Giroft. J. Environ. Health Sci. Eng. 2006, 3, 177–184.
Thapa, R.B.; Murayama, Y. Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: A case study of Hanoi. Land Use Policy 2008, 25, 225–239. [CrossRef]
Weerakoon, K. Integration of GIS based suitability analysis and multicriteria evaluation for urban land use planning; contribution from the Analytic Hierarchy Process. Presented at the 23rd Asian Conference on Remote Sensing, ACRS Urban Planning, Kathmandu, Nepal, 25–29 November 2002.