A new proposed model of EMOLUP for assessing of ecological capability of different utilizations and land use planning in Sepidan Township, Iran


  • Masoud Masoudi Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University https://orcid.org/0000-0001-7059-456X
  • Elham Asrari Department of Environment, Payame Noor University
  • Somaye Razaghi Department of Natural Resources and Environmental Engineering, School of Agricultural, Shiraz University
  • Fatemeh Karimi Department of Environment, Payame Noor University
  • Artemi Cerdà Full Professor, Soil Erosion and Degradation Research Group. Department of Geography. University of Valencia




EMOLUP Model, Geomean, Boolean, Prioritizing, Land use, Capability


The optimum use and appropriate management of renewable resources, with dynamic characteristics, needs to evaluate and classify the ecological capability of environment and its socio-economic conditions. Land use planning (LUP) is an iterative process based on the dialogue amongst all stakeholders aiming at the negotiation and decision for a sustainable form of land use in rural areas as well as initiating and monitoring its implementation. The main objective of this paper is the implementation of integration quantitative model namely EMOLUP (Eco-Socioeconomic Model of Land Use Planning) in Sepidan Township of the Fars province in Iran. Therefore, two main steps were prepared for the new model: I. Ecological capability evaluation of different land uses. This step is composed of the geometric mean method instead of the Boolean and MCE methods. II. Land use planning and prioritizing for the various uses. This step has been composed intersecting ecological capability maps and land use planning, based on two scenarios (economic and social). Then, it was compared with current qualitative and quantitative methods. Also, current land use is used for calibrating and modifying the proposed models. Results show using the geometric mean method is better than Boolean models, and the method of the calibrated geometric mean (with overall accuracy > 63 and kappa index > 0.39 for all land uses) is the best among different used models. Also, results of prioritizing and land use planning showed that quantitative method with two socio-economic scenarios (with an average of EPM erosion model = 0.31) is the best method for land use planning in the study area. We confirmed that the EMOLUP model can contribute to a better understand land use planning in different regions of the world.


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Abu Hammad, A., Tumeizi, A, 2010. Land degradation: socioeconomic and environmental causes and consequences in the Eastern Mediterranean. Land Degradation and Development 23, 216-226. https://doi.org/10.1002/ldr.1069

Alavi Panah, S. K., De Dapper, M., Goossens, R., Masoudi, M., 2001. The Use of TM Thermal Band for Land Cover/Land Use Mapping in Two Different Environmental Conditions of Iran. Journal of Agricultural Science and Technology 3(1), 27-36.

Asadifard, E., 2016. Mapping of land use planning based on modification and quantitative method of current model (A case study: Firouzabad Township). M.Sc. Thesis, School of Agriculture, Shiraz University, Iran.

Asadifard, E., Masoudi, M., Afzali, S.F., Fallah Shamsi, S.R., 2019. Evaluating the ecological potential for rangeland use by various land-use planning methods in Firozabad County. Rangeland, 13, 14-25.

Ayalew, G., 2015. A geographic information system based physical land suitability evaluation to groundnut and sweet potato in East Amhara, highlands of Ethiopia. Journal of Biology, Agriculture and Healthcare 5(1), 33-38.

Babaee, A.R., Ownegh, M., 2006. Evaluation of Development Potential and Land Use Planning of Posht-e-Kooh Watershed. J. Agric. Sci. Natur. Resour. 13, 127-137.

Baniya, N., 2008. Land suitability evaluation using GIS for vegetable crops in Kathmandu Valley, Nepal. [Available online]. http://edoc.hu-berlin.de/dissertationen/baniya-nabarath-2008-10-13/PDF/baniya.pdf.

Benthem, R.V., 2013. Land evaluation for rain fed agriculture in the Mediterranean Peyne area, Southern France. M.Sc Thesis, Faculty of Geosciences, Utrecht University.

Congalton, R. G., 1991. A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment 37, 35-46. https://doi.org/10.1016/0034-4257(91)90048-B.

Di Gregorio, A., Jansen, L.J.M., 1998. Land Cover Classification System (LCCS): Classification Concepts and User Manual. For software version 1.0. GCP/RAF/287/ITA Africover – East Africa Project in cooperation with AGLS and SDRN. Nairobi, Rome.

Elaalem, M., Comber, A., Fisher, P., 2010. Land Suitability Analysis comparing Boolean logic with fuzzy analytic hierarchy process. Accuracy 2010 Symposium, July 20-23, Leicester, UK. pp 245-247.

Fallahshamsi, S.R., 1997. Accuracy Assessment of Satellite Based Maps Using Sampling. M.Sc Dissertation, Faculty of Natural Resources, University of Tehran, Iran.

Fallahshamsi, S.R., 2004. Economic Evaluation of Different Land uses in Kalibar - chai Forest -covered Watershed, Using Linear Programming and Geographical Information Systems. Ph.D. Thesis Report, Natural Resource Faculty, Tehran University, Karaj.

FAO, 1976. A framework for land evaluation. Food and Agriculture Organization of the United Nations, Soils Bulletin 32. FAO, Rome.

Gavrilovic, Z., 1998. The use of empirical method (erosion potential method) for calculating sediment production and transportation in studied or torrential streams. International Conference on River Regime. Paper 12, John Wiley and sons.

Gharakhlou, M. Pourkhabbaz, H.R., Amiri, M.J., Faraji Sabokbar, H., 2008. Ecological Capability Evaluation of Qazvin Region for Determining Urban Development Potential Points Using Geographic Information System. Journal of Urban-Regional Studies and Research 2, 51-68.

Goudarzian, P., Yazdani, M.R., 2015. Climate diversity in line with agroforestry systems: studying technicalities of agroforestry systems and allied components in two diverse climatic regions (Warm climate vs. cold climate) (Case study: Kazeroun & Sepidan in Fars Province, I.R.Iran). Desert 20(2), 157-166.

Hosseini, S., 2018. Comparison Ability Between FAO and Iran Ecological Models to Estimate of Capability Ecological land for Using Pasture (case study: Meydavood area in the east of Khuzestan). Journal of Environmental Science and Technology 18(1), 89-103.

Jahantigh, H.R., Masoudi, M., Jokar, P., 2019. A quantitative approach to land use planning using GIS – A case study of Chabahar County, Iran. European Journal of Environmental Sciences 9(1), 12-20. https://doi.org/10.14712/23361964.2019.2

Jokar, P., 2015. Mapping of land use planning based on modification and quantitative method of current model. (A case study: Jahrom Township). M.Sc. Thesis, School of Agriculture, Shiraz University, Iran.

Jokar, P., Masoudi, M., 2016. Land Suitability for Urban and Industrial Development by a Proposal Model, Case Study: Jahrom Township, Iran. Journal of Environmental Studies 42, 135-149.

Jokar, P., Masoudi, M., Karimi, F., 2021. An MCE-based innovative approach to evaluating ecotourism suitability using GIS. Cuadernos de Investigación Geográfica 47 (2), 545-556. https://doi.org/10.18172/cig.4291

Keesstra, S., Mol, G., de Leeuw, J., Okx, J., de Cleen, M., Visser, S., 2018. Soil-related sustainable development goals: Four concepts to make land degradation neutrality and restoration work. Land 7(4), 133. https://doi.org/10.3390/land7040133

Keesstra, S., Sannigrahi, S., López-Vicente, M., Pulido, M., Novara, A., Visser, S., Kalantari, Z., 2021. The role of soils in regulation and provision of blue and green water. Philosophical Transactions of the Royal Society B 376(1834), 20200175. https://doi.org/10.1098/rstb.2020.0175

Khosravi, Y., Kalantari, M., Kouhestani, N., 2012. Spatial analysis of the degree of land suitability for agricultural and natural resources activities using FAO Model and GIS. Journal of Conservation and Utilization of Natural Resources 1 (3): 9-29.

Kindleberger, C.P., 1967. French Planning. In M.F. Milikan (ed), National Economic Planning, Columbia University Press, pp. 279-303, New York.

Kosmas, C., Poesen, J., Briassouli, H., 1999. Key indicators of desertification at the Environmentally Sensitive Areas (ESA) scale. The Medalus Project: Mediterranean Desertification and Land Use. Manual on Key Indicators of Desertification and Mapping Environmentally Sensitive Areas to Desertifica¬tion. Project report. European Commission.

Lahmian, R., 2016. The use of geographical information system in identifying suitable locations for planting plants at risk of north of Iran. Journal of Current Research Science 4 (2), 27-30.

Makhdoum, M., 2006. Principles of Land use planning. 7th ed., University of Tehran.

Masoudi, M. (2014). Risk Assessment of Vegetation Degradation Using GIS. Journal of Agricultural Science and Technology 16, 1711-1722. http://hdl.handle.net/123456789/4101

Masoudi, M., 2018. Land Use Planning Using Computer‏. Payame Noor University Publisher, Tehran, Iran‏.

Masoudi, M., Jokar, P., 2015. Land-use planning using a quantitative model and geographic information system (GIS) in Shiraz Township, Iran. Ecopersia 3, 959-974.

Masoudi, M., Jokar, P., Sadeghi M., 2017. Land Use Planning using a Quantitative model and Geographic Information System (GIS) in Darab County, Iran. Journal of Materials and Environmental Sciences 8, 2975-2985.

Masoudi, M., Jokar, P., Ramazani Poor, E., 2020. A GIS-based quantitative model for land use planning in Larestan County, Iran. EQA-International Journal of Environmental Quality 40, 19-30. https://doi.org/10.6092/issn.2281-4485/10433

McHarg, I.L., 1969. Design with Nature. Wiley, New York.

Metze, M., 2002. Het einde van de Amerikanisering, in Het Financieele Dagblad, November 23d, 2002.

Mokarram, M., Zarei, A.R., 2021. Determining prone areas to gully erosion and the impact of land-use change on it by using multiple-criteria decision-making algorithms in arid and semi-arid regions. Geoderma 403, 115379. https://doi.org/10.1016/j.geoderma.2021.115379

Najafinezhad, A. Pishdad Soleimanabad, L. Salmanmahini, A., 2013. Comparison of the efficiency of systematic and multi objective land allocation methods for land use planning using Geographic Information System. Journal of Applied RS & GIS Techniques in Natural Resource Science 4, 1-11.

Nakos, G., 1984. The land resource survey of Greece: a tool for land use planning and policy. In Policy Analysis for Forestry Development. Proceedings of the International Conference held in Thessaloniki, Greece (IUFRO-Division 4), pp. 439-450.

Nazari Viand, F., Koohestani, H., Zarifian, Sh., Kazemieh, F., 2019. Land Suitability Assessment for Agriculture Using Analytical Hierarchy Process in Northern Parts of Khalkhal County (Case Study: Mikaeel Abad catchment). Journal of Agricultural Science and Sustainable Production 30 (1), 225-239.

Nouri, J., Sharifipour, R., 2004. Ecological Capability Evaluation of Rural Development by means of GIS. Journal of Environmental Health Science & Engineering 1(2), 81-90.

O’Neill, R.V., 1989. Perspectives in hierarchy and scale. In: J. Rougharden, R.M. May, S.A. Levin (Eds.), Perspectives in Ecological Theory. Princeton University Press, Princeton, New Jersey.

Oyinloye, M., Kufoniyi, O., 2013. Application of IKONOS Satellite Images in Monitoring of Urban Landuse Change in Ikeja, GRA, Lagos, Nigeria. International Journal of Engineering Science Invention 2, 1-10.

Pan, T., Zhang, Y., Su, F., Lyne, V., Cheng, F., Xiao, H., 2021. Practical Efficient Regional Land-Use Planning Using Constrained Multi-Objective Genetic Algorithm Optimization. ISPRS International Journal of Geo-Information 10 (2), 100. https://doi.org/10.3390/ijgi10020100

Piran, H., Maleknia, R., Akbari, H., Soosani, J., Karami, O., 2013. Site selection for local forest park using analytic hierarchy process and geographic information system (case study: Badresh county). International Research Journal of Applied and Basic Sciences 6 (7), 930-935.

Rossiter, D.G., 1996. A theoretical framework for land evaluation. Geoderma 72, 165-190. https://doi.org/10.1016/0016-7061(96)00031-6

Saaty, T.L., 1977. A scaling method for priorities in hierarchical structures. Mathematical Psychology 15: 231-281.

Saaty, T.L., Vargas, L.G., 2001. Models, methods, concepts and applications of the analytic hierarchy process. International series in operations research and management sciences. Kluwer Academic Publisher.

Safaripour, M. Naseri, D., 2019. Ecological Land Capability Evaluation for Agriculture and Range Management Using WLC Method (Case study: Onarchay watershed, Ardabil province). Journal of Environmental Science and Technology 21(8), 113-123. https://doi.org/ 10.22034/jest.2020.22063.3120

Sanaee, M. Fallah Shamsi, S.R., Ferdowsi Asemanjerdi, H., 2010. Multi-criteria land evaluation, using WLC and OWA strategies to select suitable site of forage plantation (Case study: Zakherd, Fars). Rangeland 4, 216-227.

Sarvazad, A., Qadykolayy, J.O., Nasi, S.M.H., 2015. Determining the potential of Bistoon forest park and locating tourism activities. Advances in Bioresearch 6 (3), 25-31.

Steinitz, C., Parker, P., Jordan, L., 1976. Hand drawn overlays: their history and prospective uses. Landscape Architecture 9, 444-455.

Storie, R., 1987. Storie index soil rating. OaHand University of California, Division of Agricultural Sciences, Special publication 32 (3), 10 pp.

Yohannes, H., Soromessa, T., 2018. Land suitability assessment for major crops by using GIS-based multi-criteria approach in Andit Tid watershed, Ethiopia. Cogent Food & Agriculture 4(1), 147048. https://doi.org/10.1080/23311932.2018.1470481

Zakerinejad, R., Masoudi, M., 2019. Quantitative mapping of desertification risk using the modified MEDALUS model: a case study in the Mazayejan Plain, Southwest Iran. AUC GEOGRAPHICA 54, 232-239. https://doi.org/10.14712/23361980.2019.20




How to Cite

Masoudi M, Asrari E, Razaghi S, Karimi F, Cerdà A. A new proposed model of EMOLUP for assessing of ecological capability of different utilizations and land use planning in Sepidan Township, Iran. CIG [Internet]. 2023 Jan. 11 [cited 2024 Feb. 24];49(2):5-28. Available from: https://publicaciones.unirioja.es/ojs/index.php/cig/article/view/5443