Determination of Potential Habitat of Two Rangeland Species in Semi-Desert Area Using GIS (Case Study: Watershed of Kolah Deraz, Qasr-e-Shirin, Iran)
الموضوعات :Ali Mahdavi 1 , Mojtaba Jamshidifard 2
1 - Department of Forest Sciences, Faculty of Agriculture and Natural Resources,
University of Ilam
2 - Combat to Desertification, General Natural Resource Office of Kermanshah
الکلمات المفتاحية: GIS, Agropyron trichophorum, Salsola rigida, Potential habitats, Qasr-e-Shirin,
ملخص المقالة :
To determine the potential habitat of two rangeland species of Salsola rigidaand Agropyron trichophorum in Qasr-e-Shirin, Iran, Geographic Information Systems(GIS) and Remote Sensing (RS) techniques were used. At first, several maps (vegetationcover and land uses maps and thematic maps of various organizations) were collected orprepared. For digitizing geology, vegetation and conventional states maps, topographicdata layers, soil maps and soil data layers the softwares of ARC/ INFO, ILWIS andTOSCA were used. Land use map of Qasr-e Shirin city was prepared using IRS1 satelliteimagery. The current habitats of studied species were determined by visiting the area andlimiting it by GPS and marking on map. Three sites for each of species were selected. 10soil profiles were randomly drilled in depth of 35 cm within each site. The soil parameterssuch as EC, Texture, pH and organic matter for each sample were measured. The resultsshowed that from the total rangeland area (6270 ha), two locations 1677.3 ha (26%) werefitted for growth of Salsola rigida of which 211 ha (3.36%) from this area belongs tooriginal habitats and 1466 ha remained, was belong to the potential habitat. For the secondspecies, the results indicated that two areas totally 1356 ha were habitat of Agropyrontrichophorum which 167 ha (2.66%) were belonged to the current original habitats and therest of 1189.8 ha (18.97%) was belonged to the potential habitat for Agropyrontrichophorum.
Abbasi, A. P., Khajeddin, S. J. and Khademi, H., 2009. Determination of potential habitats of three Mediterranean and industrial arbor species at forest in Armand watershed, chaharmahal-bakhtyari province uses GIS and RS techniques. Jour. Wood Forest Sci. Tech., 16(1): 15-31. (In Persian).
Austin, M. P., 1998. An ecological perspective on biodiversity investigations: examples from Australian eucalypt forests. Ann. Mo. Bot Gard., 85: 2-17.
Debinski, D. M., Kindscher, K. and Jakubauskas, M. E., 1999. A remote sensing and GIS-based model of habitats and biodiversity in the Greater Yellow stone Ecosystem. Int. Jour. Remote Sensing, 20(17): 3281-3291.
Elith, J., Burgman, M., 2002. Predictions and Their Validation: Rare Plants in the Central Highlands, Victoria, Australia. In: Scott, J. M., Heglund, P. J., Morrison, M. L., Haufler, J. B., Rapheal, M. G., Wall, W. A., Sampson, F. B. (Eds.), Predicting Species Occurrence: Issues of Accuracy and Scale. Island Press, Covello, CA, p 303-313.
Eshraghi, M., 1996. Application of GIS and provision of plans for management, utilization, rehabilitation and conservation of vegetation in Zagros region. Abstract papers, National Conference for Zagros region, Khoramabad, Iran, p 7-8. (In Persian).
Franklin, J., 1995. Predictive vegetation mapping: geographic modeling of biospatial patterns in relation to environmental gradients. Progress Physical Geog., 19(4): 474-499.
Gupta, S. and Owais, S. T., 2000. Potential Agriculture- A GIS implementation in evolution cardamom potential sikkim Himalayas. 21st Asian conference on Remote Sensing, Taipei, Taiwan, p 8.
Irvani, M., 1999. Determination of potential habitats of three rangeland species in vahregan stream using GIS and RS. M.Sc Thesis in Rangeland management, Faculty of Natural Resources, Industrial University of Isfahan, p 147. (In Persian).
Mejias, R. P. Cubiles de la Vega, M. D., Romero, M. A., Pascual Acosta, A., Jordan Lopez, A., Bellinfante Crocci, N., 2010. Predicting the potential habitat of oaks with data mining models and the R system. Environ Modeling & Software, 25: 826–836.
Moradi, M., 1999. Determination of potential habitats of Calligonum comosum in Sistan Province using GIS, M.Sc. Thesis, Faculty of Natural Resources, University of Zabol, p 125. (In Persian).
Nock, E. E., 2008. A simple GIS approach to predicting rare plant habitat: North central Rocky Mountains, United States Forest Service, Region one. M.Sc. Thesis. The University of Montana, p80.
Poon, E. L., Margules, C. R., 2004. Searching for New Populations of Rare Plant Species in Remote Locations. In: Thompson, W.L. (Eds.), Sampling Rare or Elusive Species: Concepts, Designs, and Techniques for Estimating Population Parameters. Island Press, Washington.
Sedighian, A., 1996. Identification and control on renewable natural resource in Zagros region usin GIS and RS. Abstract papers, National Conference for Zagros region, Khoramabad, p 14-15. (In Persian).
Vogiatzakis, I., 2003. GIS-Based Modeling and Ecology: A Review of Tools and Methods. Geographical Paper No. 170.
Vogiatzakis, I. N. and Griffith’s, G. H., 2005. A GIS-based empirical model for vegetation prediction in LefkaOri, Greece. Plant Ecology, 184: 311-323.
Wiser, S. K., Peet, R. K., White, P. S., 1998. Prediction of Rare-Plant Occurrence: A Southern Appalachian Example. Ecol. Appl., 8(4): 909-920.
Xu, L., Liu, H., Chu, X. and Su, K., 2006. Desert vegetation patterns at the northern foot of Tianshan Mountains: The role of soil conditions. Flora, 201: 44-50.
Zaboli, M., Fakhire, A., Ghanbari, A., Moradi, H. R. and Rashki, A. R., 2010. Determination of potential habitats of Saxaoul species for Sistan region using GIS. Iranian Jour. Range and Desert Research, 17(2): 317-330. (In Persian).