Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

Agro Climatic Feasibility Rosa damascena mill Cultivation in Climate Change Condition in northern part of Isfahan Province Zahra sadat Jalali Chiomeh

Authors
zahra sadat Jalali Chimeh 1
Amir Gandomkar 2
Morteza Khodagholi 3
Hossein Battoli 4
1 : phd Student of Climatology, Tourism Research Center, Najafabad Branceh, Islamic Azad University, Najafabad, Iran
2 Assistant Proffessor Tourism Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran
3 Associated Proffessor Department Of Rangland Research ,Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran
4 Assistant Proffesor Department Of Botany Research, Kashan Botanical Garden ,Research Institute of Forests and Rangelands Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
10.52547/jgs.21.62.281
Abstract
Agriculture, as one of the most important human economic activities, is closely related to the climatic conditions, and any changes in the climatic conditions can have dramatic changes in agriculture. The main objective of this study is to investigate the spatial changes of the Agro Climatic Feasibility Rosa damascena mill Cultivation in Climate change Condition in northern part of Isfahan province including Kashan, Natanz, Ardestan and Aran Bidgol, under the four carbon dioxide emission pathways (RCPs)of 2050. Two groups of factors involved in agroclimatic feasibility of Rosa damascena mill cultivation including environmental factors (topography, soil) and climatic factors were extracted. Based on these factors, suitable zones of Rosa damascena mill cultivation, were identify using Fuzzy gamma function. In the next step, by simulating the climatic elements of the region in 2050, under the four carbon dioxide emission pathways, the fifth report of the IPCC, replacing the simulated climatic variables of 2050 under the four lines, by re-implementing the fuzzy gamma function, favorable areas of cultivation Rosa damascena mill was identified in each region in each scenario. In the next step, by simulating the climatic elements of the region in 2050, under the four carbon dioxide emission pathways, the fifth report of the IPCC, replacing the simulated climatic variables of 2050 under the four lines, by re-implementing the fuzzy gamma function, favorable areas of cultivation The Rosa damascena mill was identified in each region in each scenario. The results showed that in the base period climate, about 0.33% of the area (9025 km2) has a climate suitable for cultivating Rosa damascena mill and more than 67% of the area of ​​the region has a weak talent. The results of the simulation of the climatic conditions of 2050 under four carbon dioxide emission lines indicate that, under all scenarios, favorable areas for cultivating Rosa damascena mill in the studied area have increased. In the trajectory of 8/8 release, the highest class of agro-colliery was the cultivation of the flowers of Mohammadi gardens
Keywords
Rosa damascena mill
Climate Change
Carbon Dioxide Distribution(RCP)
Isfahan Province
Kaffi M, Bourzoei M, Salehi A, Kamandi A, Masoomi J, Nabati J. 2009. Physiology of Environmental Tensions in Plants. Mashhad Jahad University Press, Mashhad
Kazemi NajafAbadi M. 2009. Feasibility study of olive cultivation in Isfahan province using GIS, M.S. Thesis, Tehran University. Faculty of Geography. Natural Geography Group. Natural geography and geomorphology, Iran.
Li B, Zhang F, Zhang LW. 2012. Comprehensive suitability evaluation of tea crops using GIS and a modified land ecological suitability evaluation model, Pedosphere, 22(1): 122-130.
Zhuang DF, Jiang D, Liu L. 2011. Assessment of bioenergy potential on marginal land in China, Renewable and Sustainable Energy Reviews, 15(2): 1050-1056.
Bani-Domi, M. 2006. Trend Analysis of Temperatures and Precipitation in Jordan, Yarmouk University Irbid – JORDAN
Chang, Ch. Ch. 2003. The Potential Impact of Climate Change on Taiwan s Agriculture, Agricultural Economics, 27 (1): pp. 51-64.
Cuttle, L., Kempf, M., Kravchuk, O., George, N., Liu, P., Chang, H., Mill, J., Wang, X., Kimble, R. M. 2008. The Efficacy of Aloe Vera, Tea Tree Oil and Saliva Asfirst Aid Treatment for Partial Thickness Burn Injuries, Burns, 34 (3): pp. 1176-1182.
IPCC-TGCIA .2009. Guidelines on the Use of Scenario Data for Climate Impact and Adaptation Assessment, eds.
IPCC .2013. Climate Change (2014) The Physical Science Basis. Working Group 1 (WG1) Contribution to the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5), Cambridge University Press-London.
Meinshausen, M., Smith, S. J., Calvin, K., Daniel, J., Kainuma, M., Lamarque, J., Matsumoto, K., Montzka, S., Raper, A., Riahi, K., Thomson, A., Velders. G., Vuuren, D. 2011. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300, Climatic Change, 109 (12): pp. 213-241.
Redsma, P., Lansink, A., Ewert, F. 2009. Economic Impacts of Climatic Variability and Subsidies on European Agriculture and Observed Adaptation Strategies, Mitig Adapt Strateg Glob Change,14 (1): pp. 35-59.
Reilly, J. 1999. What Does Climate Change Mean for Agriculture in Developing Countries?, A Comment on Mendelsohn and Dinar, World Bank Obs, 14 (1): pp. 295-305.
Riahi, K., Rao, Sh., Krey, V., Cho, Ch. 2011. RCP 8.5—A scenario of comparatively high greenhouse gas emissions, Climate Change, 109 (1): pp. 33-57.
Rodriguez, D. J., Ruz, L. R., Angulosanchez, J. l. 2002. Aloe Vera response to plastic mulch and nitrogen. In: trends in new crops and new uses, Environmental Protection, 3 (2): pp. 538-551.
Sandeep, K., Amita, Y., Manila, Y., and Jaya P. 2017. Effect of Climate Change on Phytochemical Diversity, Total Phenolic Content and in Vitro Antioxidant Activity of Aloe Vera (L.) Burm.f., BMC Research Notes,4 (1), pp:1-12.
Vuuren, D. V., Edmonds, J., Kainuma, M., Riahi, K., Weyant, J. 2011. A Special Issue on the RCPs, Climate Change, 109 (1): pp. 1-4.
WMO .2010. Detecting Trend and Other Change in Hydrological Data, WMO/TD,No:1013.