Showing 7 results for Climate
M. Saleh, M. Zahedi, H. Eshgizadeh,
Volume 8, Issue 3 (11-2018)
Abstract
This experiment was conducted in a greenhouse at Isfahan University of Technology, Isfahan, Iran in 2014 to evaluate 20 wheat cultivars (Navid, Pishtaz, Karaj, Kavir, Tajan, Karun, sholeh, Bahar, Khoshki 11, Gasparood, Sepahan, Sorkh tokhm, Chamran, Ghods, Shariar, Omid, Sistan, Alamut, Marvdasht and Shiraz) under two carbon dioxide concentrations (the ambient 360 and the enriched 700 µM) and two salinity levels (0 and 150 mM NaCl). Treatments were arranged as a factorial in a completely random design with three replications. The results showed that salinity decreased potassium concentration in shoots (27%) and roots (39%), chlorophyll a and b concentrations (27 and 30%, respectively), carotenoids concentration (21%), plant height (39%), leaf area (32%), root volume (40%), shoot and root dry weight (30% and 23%, respectively); however, it increased sodium concentration in the shoots and roots (36%). The extent of salt-induced decreases in the shoot dry weight of the evaluated cultivars ranged from 8 to 46%. Karaj and Marvdasht cultivars were the most and the least sensitive cultivars to salinity under both ambient and enriched carbon dioxide concentrations, respectively. The elevated carbon dioxide concentration increased potassium concentration in the shoots (except Sholeh, Ghods and Gasparood) and roots, chlorophyll and carotenoids concentrations, plant height, leaf area (except Shahriar), root volume, shoot (except Sistan and Omid), and root dry weight; however, it decreased sodium concentration in the shoots and roots. The highest and the lowest increases in the shoot dry weight under non saline condition were obtained for Karaj and Alamut (23 and 6%, respectively); under saline conditions, they were found in Chamran and Kavir (66 and 3%, respectively). The results obtained from this experiment showed that the elevated carbon dioxide concentration positively influenced the growth of most cultivars. This effect was more pronounced under saline conditions, indicating that carbon dioxide enrichment could alleviate, at least in part, the negative effects of salinity.
H. Shirgholami, B. Ghahraman,
Volume 9, Issue 1 (4-2005)
Abstract
A number of researches have indicated a gradual increase in mean temperature throughout the world. Yet, there are some reports on the reduction of annual mean temperature. In this research we investigated a long-term trend of annual mean temperature in 34 synoptic stations in Iran (2 stations in cold and humid climates 14 in humid and moderate climates, 11 in Steppe climate and 7 in desert climate - following Kopen climatic division) with a minimum statistical record of 30 years by applying the minimum square-error and Man-Kendall methods (Wald-Wolfowitz method had a different result).
The results confirmed a positive trend in 59% stations, while 41 % of the stations were negative for the whole time-horizon of data. Considering the significance level, 3 zones of positive, negative, and no trends for annual mean temperature were detected in Iran. However, it was hard to define a specific spatial theme for such a division. By taking another approach, we proceeded with a shared statistical time period of 1968-1998 for all stations. In this case, 68% of the stations showed a positive trend, while the remaining 32% was negative. There were some shifts in direction from one trend to another in some of the stations in the study, yet no well-defined spatial structure was reported. In contrast, at 5% level of significance, 44, 15 and 41 percentages of the stations demonstrated positive, negative, and no trend for annual mean temperature, respectively. In general the behavior was different for different climates and no specific pattern was found. So, despite the fact that some stations did not show significant trends, one may hypothesize that more regions in future will experience higher temperature values and their positive trends would be a clue for future warming.
A. R. Massah Bavani, S. Morid,
Volume 9, Issue 4 (1-2006)
Abstract
In this study the impact of climate change on temperature, rainfall and river flows of the Zayandeh Rud basin under two climate change scenarios for two periods (2010-2039 and 2070-2099) are investigated. For the evaluation of future climate change impact on stream flow to Chadegan reservoir, the global circulation model (GCM) outputs of the HadCM3 model (monthly temperature and precipitation) with two scenarios, A2 and B2, are obtained and downscaled to the local level for the selected time periods. The results indicate that the annual average of precipitation decreases and temperature increases for both periods that are more pronounced for the period 2079-2099. Such that 10% to 16% decrease in precipitation and 3.2 to 4.6ºC increases in temperature can be anticipated for scenarios A2 and B2, respectively. To predict future stream flow changes due to climate change, artificial neural networks (ANNs) have been applied and trained by the several input models and architectures for rainfall-runoff simulation. The results indicate that the maximum of 5.8% decrease in the annual flows. Comparison of the two scenarios indicates the more critical situation in scenario A2 for the basin.
M. Sheklabadi, H. Khademi, M. Karimian Eghbal, F. Nourbaksh,
Volume 11, Issue 41 (10-2007)
Abstract
The effect of overgrazing on vegetation changes in central Zagros has been studied by a few scientists, but there is no detailed information on the impact of such practices on soil properties. The objective of this study was to assess the effect of climate and grazing management on selected soil biochemical properties. Fourteen experimental range sites protected against grazing as well as their adjacent overgrazed sites in Chadegan, Pishkuh and Poshtkuh were selected. In each site, samples were collected from the depths 0-5 and 5-15 cm. Soil organic C (OC), microbial biomass C (MBC), total nitrogen (TN), organic C to total N ratio (C/N), microbial biomass C to organic C ratio (Cmic/Coc) and metabolic quotient (qCO2) were measured and/or calculated. The results showed that the lowest SOC, MBC, TN and Cmic/Coc occur in Chadegan due to low fresh materials input. The above parameters in Pishkuh and Poshtkuh regions are 2.5 to 3 times greater than those in Chadegan area. Grazing intensity in Pishkuh is less than that in Poshtkuh region and there is no significant difference between grazed and protected sites in Pishkuh. But, there is a significant difference between grazed and protected plots in Poshtkuh due to a higher grazing intensity. Higher Cmic/Coc and lower qCO2 suggest that the quality of organic matter is better in Poshtkuh and Pishkuh. In conclusion, highly degraded rangelands in Pishkuh and Poshtkuh seem to be able to recover very quickly with proper management, while Chadegan region needs a much longer period of time to restore.
E. Vaseghi , A. Esmaeili,
Volume 12, Issue 45 (10-2008)
Abstract
This study used a Ricardian approach to measure the impact of climate change on Iranian wheat production and analyzed potential impacts of further climate changes. The study utilized time series data for the period 1984-2004 pooled over 17 provinces. Results showed that climate change has significant nonlinear impacts on net revenue per hectare of wheat in Iran. The results also showed that rise in temperature and reduction in rainfall by the year 2100 will cause the reduction in land value by 41 %, because of increased greenhouse gas emission.
R Sabohi, S Soltani,
Volume 12, Issue 46 (1-2009)
Abstract
Climate change has important effects on earth environment and human life. Therefor, investigation and study of climate change is very essential. This study investigated rainfall, temperature, relative humidity and wind variability by analyzing data for annual and monthly climatic factors collected at 13 synoptic stations (industrial cities of Iran) by using Mann-Kendall test. The results of monthly rainfall trends showed that most of synoptic stations have significant positive and negative trends in winter and spring months. About 23% and 1.7% of stations have significant negative and positive trends, respectively, in annual trend of this factor. The results of monthly number of rainy days showed the major number of significant trends occurs in spring. In autumn (September, October and November) like as summer most of the stations have no significant trends. Analyzing the annual number of rainy days trends also showed that 4 stations have significant positive trends and 2 stations negative trends. Trend of greatest daily precipitation is low throughout the year, so there is not any significant trend in winter. Annual investigations confirm the seasonal investigations. The major number of significant trends in monthly mean maximum temperature occurs in summer but there are not any significant trends in winter and March. The trend of mean minimum temperature is approximately high in all of the seasons and the major number of significant trends occurs in summer and autumn and then in spring and ultimately in winter. In annual investigation, most of the stations showed positive trends and only Oroomieh station has negative trends. Trend of mean temperature is high except for winter. Most of the stations showed positive trend, indicating increasing trends in this factor. Annual studies vertify the positive trends and about 63% of stations have significant positive trends.
Z Maryanji, A Sabziparvar, F Tafazoli, H Zare Abianeh, H Banzhad, M Ghafouri, M Mousavi,
Volume 12, Issue 46 (1-2009)
Abstract
Under different climatic conditions of Iran, the evaluation of evapotranspiration (ETo) models sensitivity to meteorological parameters, prior to introducing the superior performance model, seems quite necessary. Using a 35-year (1971-2005) climatological observations in Hamedan, this study compares the sensitivity of different commonly used evapotranspiration models to different meteorological parameters within the IPCC recommended variability range of 10 to 20% during the growing season (April-October). The radiation and temperature-based ETo models include: Penman-Monteith -FAO56 [PMF56], Jensen-Haise [JH1,2], Humid Turc [TH], Arid (semi) arid Turc [TA], Makkink [MK], Hansen [HN], and Hargreaves-Samani [HS]. Results indicate that all the above-mentioned ETo models show the highest sensitivity to radiation and temperature parameters. This implies that special care is required when we apply model-generated radiation and albedo parameters in such ETo models. It is predicted that by 2050, as a result of global warming, the cold semi-arid climates of Iran will cause an average evapotranspiration rise of about 8.5% in crop reference during the growing season.
