Assessing the effect of development management scenarios in mitigating the residential and agricultural land use conflict
Subject Areas :
landuse
Ali Asgarian
1
,
Alireza Soffianian
2
,
Saeid Pourmanafi
3
,
Mohsen Bagheri Bodaghabadi
4
1 - PhD. of Environmental Sciences, Department of Natural Resources, Isfahan University of Technology, Iran.
2 - Associated Professor of Environmental Sciences, Department of Natural Resources, Isfahan University of Technology, Iran. * (Corresponding Author)
3 - Assistant Professor of Environmental Sciences, Department of Natural Resources, Isfahan University of Technology, Iran.
4 - Assistant Professor, Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Received: 2017-07-31
Accepted : 2017-11-15
Published : 2022-07-23
Keywords:
Residential development,
agricultural land use,
Spatial conflict,
Najaf-Abad Hydrological Unit,
Abstract :
Background and Objective: Residential land encroachment on agricultural areas presents a global challenge regarding land use management. Such a challenge needs crucial attention in Iran where agricultural activities suffer from resource shortage and land use management practices are ineffectively planned and enforced.
Material and Methodology: An attempt was first made to delineate agricultural land use suitability. Two scenarios namely Current Development (CD) and Environmental Development (ED) were mapped and transplanted to CA-Markov model to simulate urban growth up to 2030, 2040 and 2050. Finally, severity of conflicts was analyzed based on loss of the extent and the corresponding suitability of agricultural lands.
Findings: The results showed that ED scenario is more successful in protecting suitable agricultural lands than CD scenario (nearly one thousand ha). Moreover, CD scenario is projected to occur in areas with relatively higher agricultural suitability values. The difference between the scenarios is not significant for near future (2030), but significant for the ending simulation period (2050).
Discussion and Conclusion: ED scenario is more succeeded in protecting quantitative and qualitative agricultural lands. By implementing this scenario from now, it takes 35 years to significantly mitigate the conflict between the two land uses. However, the effectiveness of such scenarios requires simultaneous attention to socio-economic parameters.
References:
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Suman P, Thys E, Mfoukou-Ntsakala A, Ali L, Ouedraogo M, Van den Bossche P, et al. Methodology for assessing determinants of manure use in urban areas of Africa. Waste Management & Research. 2010;28(12):1076-86.
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Torre A, Aznar O, Bonin M, Caron A, Chia E, GALMAN M, et al. Conflits et tensions autour des usages de l'espace dans les territoires ruraux et périurbains. Le cas de six zones géographiques françaises. Revue d’Économie Régionale & Urbaine. 2006(3):415-53.
Arefian FF, Moeini SHI. Urban Change in Iran: Springer; 2016.
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Li K, Lin B. Impacts of urbanization and industrialization on energy consumption/CO 2 emissions: Does the level of development matter? Renewable and Sustainable Energy Reviews. 2015; 52:1107-22.
Asgarian A, Soffianian A, Pourmanafi S. Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery. Computers and Electronics in Agriculture. 2016;127:531-40.
Dahiya B. Cities in Asia, 2012: Demographics, economics, poverty, environment and governance. Cities. 2012;29:S44-S61.
Asgarian, A., Jabbarian Amiri, B., Alizadeh Shabani, A., & Feghhi, J. (2015). Assessing urban growth patterns in Sari using landscape ecology approach. Journal of Natural Environment, 68(1), 95-107.(In Persian)
Valipour M, Karimian Eghbal M, Malakouti M, KHosh Goftamanesh A. Agricultural Land Degradation and Salinization in Shamsabad Region, Qom Province, Iran. JWSS - Isfahan University of Technology 2009; 12 (46) :683-691. (In Persian)
Aubry C, Ramamonjisoa J, Dabat M-H, Rakotoarisoa J, Rakotondraibe J, Rabeharisoa L. Urban agriculture and land use in cities: An approach with the multi-functionality and sustainability concepts in the case of Antananarivo (Madagascar). Land Use Policy. 2012; 29(2):429-39.
Kharazmi R, Abdollahi A A, Rahdari M R, Karkon varnosfaderani M. Monitoring Land Use Change and its Impacts on Land Degradation and Desertification Trend Using Landsat Satellite Images (Case study: East of Iran, Hamoon Wetland). Arid Regions Geographic Studies 2016; 7 (25) :64-75. (In Perian)
Darly S, Torre A. Conflicts over farmland uses and the dynamics of “agri-urban” localities in the Greater Paris Region: An empirical analysis based on daily regional press and field interviews. Land Use Policy. 2013;33:90-9.
Zérah MH. Conflict between green space preservation and housing needs: The case of the Sanjay Gandhi National Park in Mumbai. Cities. 2007;24(2):122-32.
Robineau O. Toward a systemic analysis of city-agriculture interactions in West Africa: A geography of arrangements between actors. Land Use Policy. 2015;49:322-31.
Suman P, Thys E, Mfoukou-Ntsakala A, Ali L, Ouedraogo M, Van den Bossche P, et al. Methodology for assessing determinants of manure use in urban areas of Africa. Waste Management & Research. 2010;28(12):1076-86.
Brown G, Raymond CM. Methods for identifying land use conflict potential using participatory mapping. Landscape and Urban Planning. 2014;122:196-208.
Sakieh Y, Salmanmahiny A, Jafarnezhad J, Mehri A, Kamyab H, Galdavi S. Evaluating the strategy of decentralized urban land-use planning in a developing region. Land Use Policy. 2015;48:534-51.
Sakieh Y, Salmanmahiny A, Mirkarimi SH. Tailoring a non-path-dependent model for environmental risk management and polycentric urban land-use planning. Environmental monitoring and assessment. 2017;189(2):91.
Cai Y-l, Fu Z-q, Dai E-f. The minimum area per capita of cultivated land and its implication for the optimization of land resource allocation. ACTA GEOGRAPHICA SINICA-CHINESE EDITION-. 2002;57(2):127-34.
Oguz H, Klein A, Srinivasan R. Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Houston-Galveston-Brazoria CMSA. Research Journal of Social Sciences. 2007;2(1):72À82.
Malczewski J. GIS and multicriteria decision analysis: John Wiley & Sons; 1999.
Drobne S, Lisec A. Multi-attribute decision analysis in GIS: weighted linear combination and ordered weighted averaging. Informatica. 2009;33(4).
Zolekar RB, Bhagat VS. Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Computers and Electronics in Agriculture. 2015;118:300-21.
Eastman J. IDRISI selva. Worcester, MA: Clark University. 2012.
Arsanjani JJ, Kainz W, Mousivand AJ. Tracking dynamic land-use change using spatially explicit Markov Chain based on cellular automata: the case of Tehran. International Journal of Image and Data Fusion. 2011;2(4):329-45.
Amiri F, Kheradmandnia . Mann - Withney multivariate nonparametric control chart.. Andishe 2015; 19 (2) :23-30 (In Persian)
Torre A, Aznar O, Bonin M, Caron A, Chia E, GALMAN M, et al. Conflits et tensions autour des usages de l'espace dans les territoires ruraux et périurbains. Le cas de six zones géographiques françaises. Revue d’Économie Régionale & Urbaine. 2006(3):415-53.
Arefian FF, Moeini SHI. Urban Change in Iran: Springer; 2016.
