عنوان مقاله [English]
Sustainable agriculture requires identification and development of scientific methods that have an important role in optimizing water use, employment and income, community health, and non-oil exports. Significant economical and therapeutic value, market demand and high processing level of medical plants have caused the daily increasing growth of these plants around the world. Considering the climatic and geographical conditions in Iran, the development of these crops, especially in arid areas and semi-arid has doubled. Therefore, in the present study, climatic, topographic and socioeconomic criteria were selected as effective measures in the cultivation of Rosa Damascena and were weighed using the network analysis process and then the ArcGIS was used to digitize and combine the layers. After the formation of the regional spatial database, descriptive information of the maps was added, weighted overlapping in the GIS environment, and finally zoning the areas susceptible to cultivating Rosa Damascena. The results showed that three factors including annual rainfall, altitude, and mean annual temperature had maximum impact and slope parameter had the least impact on the quality and quantity of Rosa Damascena. Moreover, the zoning map showed that 38 percent of northern parts, 15.6 percent of central pats and 11 percent of western parts of the province, have the most suitable sites for Rosa Damascena cultivation.
Alavizadeh S. A., Monazzam A. and Hosseinzadeh Kermani M. (2013). Possibility study of areas with potential cultivation of saffron in Kashmar plain using GIS. Saffron Agr. Tech., 1(1), 71-95 [In Persian].
Asgari M., Mashayekhan, A. and Ariapour, A. (2018). Indicator species for rangeland management by ANP-DEMATEL Method (Case Study: Nahavand Rangeland). J. Range. Sci., 8(3), 285-295.
Ashrafi A., Mikaniki J. and Dehghani M. (2013). Agro-ecological zoning and
evaluation of ecological potencies of south Khorasan for jujube plantation. Geogr. Plan. Space, 3(7), 67- 86 [In Persian].
Ashrafi V., Mirshekari B., Dashti Sh., Khalilvand E. and Farzaneh S. (2017). Locating ornamental and medicinal saffron cultivation based on AHP in GIS environment in Ardabil Province. J. Ornam. Plant., 8(3), 155- 169.
Mishra A., Deep Sh. and Choudhary A. (2015). Identification of suitable sites for organic farming using AHP & GIS. Egypt. J. Remote Sens. Space Sci., 18(2), 181-193.
Nemati Lafmajani Z., Tabaei S. R., Lebaschi M. and Daneshkhah M. (2012). Path analysis of rosa damascene mill performance under different conditions. Iran. J. Med. Arom. Plant., 27(4), 84- 100 [In Persian].
Piri I., Moosavi M., Taheri A., Alipur H., Shojaei S. and Mousavi A. (2018). The spatial assessment of suitable areas for medicinal species of Astragalus (Astragalus hypsogeton Bunge) using the analytic hierarchy process (AHP) and geographic information (GIS). Egypt. J. Remote Sens. Space Sci., In press.
Razmjoo M., Shahbazi F., Jafarzadeh A. and Moghadam M. (2016). Site speciation of susceptible strata for Damask rose cultivation (Case study: Sarab Medicinal and Industrial Plants Seed Production Station). Know. Water Soil, 26(1), 197-212 [In Persian].
Saaty T. L. (1980). The analytical hierarchy process: planning, priority setting, resource allocation. New York (NY): McGraw-Hill International Book Co.
Saaty T. L. (1999). Fundamentals of analytical network process. Proceeding of ISAHP 1999, Kobe, Japan.
Shojaei S., Alipur H., Hatefi A., Hashemi Nasab N. and Khosravi H. (2018). Locating Astragalus hypsogeton Bunge appropriate site using AHP and GIS. Spat. Inform. Res., 26(2), 223-231.
Tosan M., Alizadeh A., Ansari H. and Moghadam P. (2015). Evaluation of yield and identifying potential regions for Saffron (Crocus sativus L.) cultivation in Khorasan Razavi province according to temperature parameters. Saffron Agr. Tech., 3(1), 1- 12 [In Persian].
Vogeler I., Zabihi H., Ahmad A., Norsaid M., Golmohammadi M., Golein B. and Nilashi M. (2015). Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS. Comput. Elect. Agri., 117(7), 114-126.