Investigation of Rangeland Changes Based on Landscape Metrics Analysis (Case Study: Kezab Rangelands, Yazd Province, Iran)
Subject Areas : Relationship between Animal and Rangeland
1 - Assistant Professor, College of Agriculture and Natural Resources, Ardakan University, Ardakan
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Abstract :
Ahern, j. and Andre, L., 2003. Applying landscape ecological concepts and metrics in sustainable landscape planning. Jour., Landscape and Urban Planning, 59: 65-93.
Apan, A. A., Raine, S. R. and Paterson, M. S., 2002. Mapping and Analysis of Changes in the Riparian Landscape Structure of the Lockyer Valley catchment, Queensland, Australia. Jour. Landscape and Urban Planning, 59(1): 43-57.
Barkhordari, J., Zare Mehrjardi, M. R. And Khosroshahi, M., 2005. Land Cover Change Detection in Minab Watershed Using RS & GIS. Jour. soil and water conservation, 1(2): 59-64. (In Persian).
Fatemi, S. B. and Rezaei, Y., 2005. Principles of Remote Sensing. Tehran: Azadeh Publications. (In Persian).
Forman, R. T. T., 1995. Land mosaics: The ecology of landscapes and regions. USA: Cambridge University press.
Ghiasvand, G. h., 1997. Mapping Land Use Change Using Multi-time Satellite Images. MSc Thesis. Tarbiat Modares University. (In Persian).
Iranmanesh, F., 1998. The trend of land Use Change in Northern Kashan. M.Sc. Thesis. Shahid Beheshti University. (In Persian).
Lausch, A. and Herzog, F., 2002. Applicability of Landscape Metrics for the Monitoring of Landscape Change: Issues of Scale, Resolution and Interpretability. Jour. Ecological Indicators, 2(1): 3-15.
Leitao, A. B., Miller, J., Ahern, J. and McGarigal, K., 2006. Measuring Landscapes: A Planners Handbook. Washington D. C: Island Press 250pp.
Matsushita, B., Xu, M. and Fukushima, T., 2006. Characterizing Changes in Landscape Structure in the Lake Kasumigaura Basin, Japan Using a High-Quality GIS Dataset. Jour. Landscape and Urban Planning, 78(3): 241-250.
McGarigal, K., Cushman, S. A., Neel, M. C. and ENE, E., 2002. FRAGSTATS: Spatial pattern analysis program for categorical maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: www.Umass.edu/landeco /research/fragstats/fragstats.html.
McGarigal, K., Marks, B. J., 1994. FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure, v. 2.0. Oregon Forest Science Lab, Oregon State University, Corvallis.
Palmer, R. A. and Rooyent, A. F., 1998. Detecting Vegetation Change in the Southern Kalahari using Landsat TM data. Jour. Arid Environments, 39(2): 143–153.
Peng, Y., Mi, K., Qing, F. and Xue, D., 2016. Identification of the main factors determining landscape metrics in semi-arid agro-pastoral ecotone. Jour. Arid Environments, 124: 249–256
Saffianian, A. R., Mokhtari, Z., Khajedin, S. J., Ziaee, H.R., 2010. The changes analysis of the Land use Shape and size in Isfahan city Using GIs and metrics landscape. Articles Collections of Geomantic 89, National Cartographic Center, Tehran. (In Persian).
Sun, B. and Zhou, Q., 2016. Expressing the spatio-temporal pattern of farmland change in arid lands using landscape metrics. Jour. Arid Environments, 124: 118–127
Tabibian, M., and Dadrast, M. J., 2002. Monitoring Land Use Changes at Fars Dorughzan Catchment, By RS/GIS. Jour. Environmental Studies, 28(29):80-90. (In Persian).
Talebi Amiri, Sh., Azari dehkord, F., Sadeghi, S.H.R., Souf baf, S.R., 2009. Analysis of landscape degradation nebka watershed using landscape ecology metrics. Jour., Environmental Science Quarterly, 6(3): 133-144. (In Persian).
Tagil, S., 2007. Monitor land degrdation phenomena through landscape metrics and ndvi, Jour. applied sciences, 7(14): 1827-1842.
Weng, Y.C., 2007. Spatio-temporal Changes of Landscape Pattern in Response to Urbanization. Jour. Landscape and Urban Planning, 81(4): 341-353.
Zebardast, L., 2004. The Assessment of Anzali watershed change using remote sensing and management approaches. M.Sc. Thesis. Tehran University. (In Persian).
Zhang, Y., Balzter, H., Zou, CH., Xu, H. and Tang, F., 2015. Characterizing bi-temporal patterns of land surface temperature using landscape metrics based on sub-pixel classifications from Landsat TM/ETM+. International Jour. Applied Earth Observation and Geo information, 42: 87–96.
