Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran

被引:73
作者
Amini Parsa V. [1 ]
Yavari A. [1 ]
Nejadi A. [1 ]
机构
[1] Department of Environmental Planning, Faculty of Environment, University of Tehran, Qods Street, Enghelab Avenue, Tehran
基金
美国国家科学基金会;
关键词
Biosphere reserve; CA–Markov model; Deforestation; Landscape dynamic;
D O I
10.1007/s40808-016-0227-2
中图分类号
学科分类号
摘要
Main global environment and ecological functions and structure affected by land use/cover changes (LUCC). Analysis of the dynamic LUCC can be very useful in biosphere reserves (BRs) management. The Land use and cover (LULC) spatio-temporal changes in the Arasbaran BR were classified (as Agricultural, Forest and Barren/Range lands), and compared with future spatial pattern (simulated using the CA-Markov model) to evaluate qualitative and quantitative changes of this BR LULC over time (1989, 2000 and 2013 with 2037). This analysis consisted of the whole area and also in respect to each of the zones within the Arasbaran BR (as a new approach to assess BR management quality). Based on this approach, the LUCC monitoring alongside the future simulation offers an early warning system that also shows us trends and consequences of the changes for the whole BR as well as for each zone (including the core zone) of BR separately. The results show a downward trend for forestland at the expense of increasing agricultural and barren/range land surface areas. Furthermore this loss of remnant forest vegetation is not only true for the whole BR (; including its buffer and transitional zones) but is happening within the core zone where it will probably continue more severely in the near future. The results demonstrate the priority need for more severe regulations regarding protection of this BR against LUCCs and for its valuable core zone forest LULC in particular. © 2016, Springer International Publishing Switzerland.
引用
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页码:1 / 13
页数:12
相关论文
共 66 条
[1]  
Abd El-Kawy O.R., Rod J.K., Ismail H.A., Suliman A.S., Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data, Appl Geogr, 31, pp. 483-494, (2011)
[2]  
Ahmed B., Ahmed R., Zhu X., Evaluation of model validation techniques in land cover dynamics, ISPRS Int J Geo-Inf, 2, pp. 577-597, (2013)
[3]  
Araya Y.H., Cabral P., Analysis and modeling of urban land cover change in Setúbal and Sesimbra, Port Remote Sens, 2, pp. 1549-1563, (2010)
[4]  
Balzter H., Markov chain models for vegetation dynamics, Ecol Model, 126, pp. 139-154, (2000)
[5]  
Bates D., Rudel T.K., The political ecology of conserving tropical rain forests: a cross-national analysis, Soc Nat Resour, 13, pp. 619-634, (2010)
[6]  
Burnham B.O., Markov intertemporal land use simulation model, South J Agric Econ, 5, pp. 253-258, (1973)
[7]  
Congalton R.G., A review of assessing the accuracy of classifications of remotely sensed data, Remote Sens Environ, 37, pp. 35-46, (1991)
[8]  
Coppedge B.R., Engle D.M., Fuhlendorf S.D., Markov models of land cover dynamics in a southern Great Plains grassland region, Landsc Ecol, 22, pp. 1383-1393, (2007)
[9]  
Coppin P., Jonckheere I., Nackaerts K., Muys B., Lambin E., Review Article: Digital change detection methods in ecosystem monitoring: a review, Int J Remote Sens, 25, pp. 1565-1596, (2004)
[10]  
de Chazal J., Rounsevell M.D.A., Land-use and climate change within assessments of biodiversity change: a review, Glob Environ Chang, 19, pp. 306-315, (2009)