Land use optimization for sustainable development of mountain regions of western Serbia
- 41 Downloads
This study analyses the possibilities for optimal land use structure in mountainous areas of rural Serbia, which is faced with problems such as unfavorable terrain characteristics and inadequate land use patterns causing economic underdevelopment and increasing population migration. In the case of a small privately owned farm in Western Serbia, optimal land use pattern is determined using the linear programming model. The objective function-cost-effectiveness or soil erosion reduction, as well as constraints, are formulated using the benefit-cost ratio (BCR) for a 15-year production period and soil losses data calculated using the Universal Soil Loss Equation (USLE). The best results are achieved using the scenario with the aim to minimize soil erosion, considering the BCR in the constraints. This scenario is proposed since it was registered that the benefit for landowners would increase by five times, while the losses of land would decline about 80%. The sensitivity analysis of investments is performed to check whether the price variation affects the cost-effectiveness of proposed land use. Results show that market changes (nine cases are considered) do not lead to significant changes in land use allocation. Proposed land use pattern improves the environmental condition, strengthens the rural economy and thus offers the greatest potential for sustainable development of mountainous rural areas.
KeywordsCost-benefit analysis Linear programming Land use optimization Mountain region Soil erosion
Unable to display preview. Download preview PDF.
This paper is a part of the Project No. 43007, subproject No.16 funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia.
- Bazaraa MS, Jarvis JJ, Sherali HD (2005) Linear Programming and Network Flows. Hoboken, New Jersey: John Wiley & Sons, Inc. p 768.Google Scholar
- Chamheidar H, Nikkami D, Mahdian MH, et al. (2011) Soil loss minimization through Land Use Optimization. World Applied Sciences Journal 12(1): 76–82.Google Scholar
- Detomini ER, de Figueiredo MG (2012) Optimising land use and water allocation in intercropping systems. Revista de Política Agrícola XXI (1): 92–102.Google Scholar
- FAO (2013a) 2000 World Census of Agriculture: Analysis and International Comparison of the Results (1996–2005) Rome, FAOGoogle Scholar
- FAO (2013b) Statistical Yearbook 2013: World Food and Agriculture, Food and Agriculture Organization of the United Nations, Rome.Google Scholar
- Harwood J, Heifner R, Coble K, et al. (1999) Market and Trade Economics Division and Resource Economics Division, Economic Research Service, U.S. Department of Agriculture. Agricultural Economic Report No. 774.Google Scholar
- Lowder SK, Skoet J, Singh S (2014) What do we really know about the number and distribution of farms and family farms worldwide? Background paper for The State of Food and Agriculture 2014. ESA Working Paper No.14–02, Rome, FAO.Google Scholar
- Mandal SK (2003) Impact of land use change on soil and water in the tropical mountain ecosystem: Case study of a watershed in the Indian Himalayas in an ecological economic framework. In: Zlatić M et al. (eds.), Proceedings of natural and socio–economic effects of erosion control in mountainous regions. Belgrade, Serbia, pp 305–314.Google Scholar
- Morgan RPC (2005) Soil erosion and conservation, 3rd Edition, Australian: Blackwell Publishing Company, p 122–123.Google Scholar
- Owji, MR, Nikkami D, Mahdian MH, et al. (2012) Minimizing Surface Runoff by Optimizing Land Use Management 20(1): 170–176.Google Scholar
- Todosijević M, Zlatić M, Dragović N, et al. (2014) Sustainable Management of Soil Resources in Mountainous Areas of Western Serbia Using Conservation Measures. In: Zlatic M and Kostadinov S (eds.), Challenges: Sustainable Land Management–Climate Change, Advances in Geoecology 43, Catena Verlag GMBH. pp 136–147.Google Scholar
- UNFCCC (2011) Assessing the costs and benefits of adaptation options: An overview of approaches. United Nations Framework Convention on Climate Change (UNFCCC).Google Scholar
- Wischmeier WH, Smith DD (1978) Predicting Rainfall erosion Losses: A Guide to Conservation Planning. U.S. Department of Agriculture, Agriculture Handbook No. 537. p 62.Google Scholar