Oak forest decline zonation using AHP model and GIS technique in Zagros Forests of Ilam Province
Paper Details
Oak forest decline zonation using AHP model and GIS technique in Zagros Forests of Ilam Province
Abstract
Oak trees decline and death of the oak trees are multi-agent phenomena that in the past century have occurred in many of the world’s forests. In recent years the phenomenon of oak decline and mortality of trees in the forests of the Zagros Mountain in Iran has occurred. Oak Forests decline of Zagros in Ilam Province are caused by a complex interaction of environmental stresses and pests. Zoning forest areas according to their susceptibility to decline helps to put off operations and reduces catastrophic losses caused through a wise management plan. Therefore, creation of one regional strategy is very necessary to reduce its damages and maintains natural and oak forests. In this study, AHP model and GIS technique have been used to achieve goals. The results shows that mean annual rainfall, mean annual temperature, annual evaporation, annual moisture and dust buffer have major role in decline of Persian oak in the region. These results also show that majority of the study area (51.19%) lied under moderate hazard zone followed by high hazard (36.70%) and low (8.28%). Furthermore, oak decline hazard zonation map can help research centers in environmental management and planning to control this phenomenon.
Ayalew L, Yamagishi H. 2005. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda–Yahiko Mountains, Central Japan. Journal of Geomorphology 65, 15–31. http://dx.doi.org/10.1016/j.geomorph.2004.06.010
Banai-Kashani R. 1989. A new method for site suitability analysis: the analytic hierarchy process. Environmental Management 13, 685-693.
Brail RK, Klosterman RE. 2001. Planning Support Systems, Integrating geographic information systems, models and visualization tools. Redlands, CA: ESRI Press.
Breda N, Huc R, Granier A, Dreyer E. 2006. Temperate forest trees and stands under severe drought: a review of ecophysiological responses, adaptation processes and long-term consequences. Annals of ForestScience 63, 625–644. http://dx.doi:10.1051/forest:2006042
Collins MG, Steiner FR, Rushman MJ. 2001. Land use suitability analysis in the United States: Historical development and promising technological achievements. Environmental management 28, 611– 621.
Das A, Battles J, Stephenson NL, Van Mantgem PJ. 2011. The contribution of competition to tree mortality in old-growth coniferous forests. Forest Ecology and Management 261, 1203–1213. http://dx.doi: 10.1016/j.foreco.2010.12.035
Eastman JR, Jin W, Kyem P, Toledano J.1995. Raster procedures for multi-criteria/ multi-objective decision. Photogrammetric Engineering and Remote Sensing 61, 47-539.
Fatahi M. 1994. Zagros Oak Forests and the Most Important Degradation Factors. Research Institute of Forests and Rangelands Pub. Tehran, 112-115.
Fell R, Corominas J, Bonnard CH, Cascini C, Leroi E, Savage W. 2008. Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Engineering Geology 102, 85-98.
Franklin JF, Shugart HH, Harmon ME. 1987. Tree death as an ecological process, American Institute of Biological Sciences 37, 550–556.
Hopkins L. 1977. Methods for generating land suitability maps: a comparative evaluation. Journal of American Institute of Planners 34, 19–29.
Hosseini A, Hossein SM, Rahmani A, Azadfar D. 2013. The role of competition in drought related tree dieback in Persian oak (Quercus brantii) forests, central Zagros, Iran. International Journal of Environmental Sciences 3, 2208- 2216.
Jazireii MH, Ebrahimi M. 2003. Zagros Forest Ecology. The University of Tehran Press, Iran, 17-35.
Joerin F, Theriault M, Musy A. 2001. Using GIS and outranking multi criteria analysis for land-use suitability assessment. International journal of geographical information science 15, 153–174.
Kirilenko AP, Sedjo RA. 2007. Climate change impacts on forestry. PNAS 104, 19697–19702.
Lee KLG, Chan, EHW. 2008. The Analytic Hierarchy Process (AHP) Approach for Assessment of Urban Renewal Proposals. Social Indicators Research 89, 55–168.
Malczewski J. 1999. GIS and Multi-criteria Decision Analysis, John Wiley and Sons, New York.
Malczewski J. 2004. GIS-based land-use suitability analysis: a critical overview. Progress in planning 62, 3-65. http://dx.doi:10.1016/j.progress.2003.09.002
Mariotti A, Zeng N, Yoon JH, Artale V, Navarra A, Alpert P. 2008. Mediterranean water cycle changes: transition to drier 21st century conditions in observations and cmIP3 simulations. Environment Research. Lett 3, 044001.
Mattson WJ, Haack RA. 1987. The role of drought in outbreaks of plant-eating insects. Bioscience 37, 110-118.
McHarg IL. 1969. Design With Nature. Wiley, New York.
Mendoza GA. 1997. A GIS-based multi-criteria approach to land use suitability assessment and allocation. 7th Symposium on Systems Analysis in Forest Resources. GTR-NC-205. U.S. Forest Service, St. Paul, Minnesota.
Mirabolfathy M. 2013. Outbreak of charcoal disease on Quercus spp and Zelkova carpinifolia trees in forests of Zagros and Alborz mountains in IRAN. Journal of Plant Pathology 2, 77-79.
Mohit A, Ali M. 2006. Integrating GIS and AHP for land suitability Analysis for Urban Development in a Secondary City of Bangladesh. Journal alam Bina, Jilid 8, 1.
Nogués Bravo D, Araújo MB, Lasanta T, Lopez Moreno JI. 2008. Climate change in Mediterranean mountains during the 21st Century. Ambio 37, 280– 285.
Parry M, Palutikof J, Hanson C, Lowe J. 2008. Squaring up to reality. Nature reports climate change 2, 68-70.
Purhashemi M, Mohajer MR, Zobeiri M, Zahedi A, Panahi P. 2004. Identification of forest vegetation units in support of government management objectives in Zagros forests, Iran.Scandinavian Journal of Forest Research 4, 72-77.
Saaty TL. 1980. The Analytical Hierarchy Process, McGraw Hill, New York.
Saaty TL. Vargas GL. 2001. Models, Methods, Concepts, and Applications of the Analytic Hierarchy Process, Kluwer Academic Publisher. Scandinavian Journal of Forest Research 4, 72-77.
Schröter D, Cramer W, Leemans R. 2005. Ecosystem service supply and vulnerability to global change in Europe.Science 5752, 1333-1337. http://dx.doi:10.1126/science.1115233
Thapa RB, Murayama Y. 2008. Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: A case study of Hanoi. Land use policy 25, 225-239. http://dx.doi.org/10.1016/j.landusepol.2007.06.004
Van Mantgem PJ, Stephenson NL, Byrne JC, Daniels LD, Franklin JF, Fulé PZ. 2009. Widespread increase of tree mortality rates in the Western United States. Science 323, 521–524. http://dx.doi:10.1126/science.116500
Vargas LG. 1990. An overview of the analytic hierarchy process and its applications. European Journal of Operational Research 48, 2-8. http://dx.doi.org/10.1016/03772217(90)90056-H
Waring RH. 1987. Characteristics of trees predisposed to die. Bioscience 37, 569-574.
Yalcin A. 2008. GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey). Catena 72, 1-12. http://dx.doi:10.1016/j.catena.2007.01.003.
Yang W. 2008. China’s arid regions in the global change: response and trend. Scientia Silvae Sinicae 44, 124-30.
Yao X, Tham LG, Dai FC. 2008. Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China. Geomorphology 101, 572-582. http://dx.doi:10.1016/j.geomorph.2008.02.011
Reza Ahmadi, Hadi Kiadaliri, Asadollah Mataji, Sasanbabaei Kafaki (2014), Oak forest decline zonation using AHP model and GIS technique in Zagros Forests of Ilam Province; JBES, V4, N3, March, P141-150
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