J. Fallahi; P. Rezvani Moghaddam; M. Nassiri Mahallati; Mohammad Ali Behdani
Abstract
Climate change by increasing concentrations of greenhouse gases, particularly carbon dioxide, has led to increase attention to the carbon sequestration through the restoration and protection of vegetation cover. In this regards, ecosystems of arid regions have a special importance. In this study the ...
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Climate change by increasing concentrations of greenhouse gases, particularly carbon dioxide, has led to increase attention to the carbon sequestration through the restoration and protection of vegetation cover. In this regards, ecosystems of arid regions have a special importance. In this study the effects of reconstruction and conservation, on soil carbon sequestration of the region of the International Carbon Sequestration Project in Hussein Abad, South Khorasan province of Iran was investigated by a simulation approach using RothC model. In addition, the effects of climate change (increasing temperature and decreasing rainfall) on soil carbon sequestration potential was studied. In the studied area, replanting was done in 2004 and then soil samples were taken every two months during 2010-2011. After collecting the required input data for RothC model (climate, soil and management input data), the model was evaluated and validated for the study area. Moreover, soil carbon sequestration was studied under climate change condition. The simulation results revealed that the RothC model is applicable in rangelands of dry and warm regions, because it estimated the soil carbon changes over the time with proper accuracy. The amounts of model performance index, R2 and RMSE were 0.98, 98% and 0.01, respectively. Simulation study indicated that soil carbon storage will increase from 2011 to 2050 and will be affected by climate change and protection programs. Based on model estimation the amounts of soil carbon in preotected areas will be higher than non-protected areas. Moreover, in non-climate change scenario the amounts of soil carbon will be higher than climate change scenario in 2050.
S. Koozehgaran; M. Mousavi Baygi; S.H. Sanaei-Nejad; M.A. Behdani
Abstract
Abstract
Knowledge of the coordination of the agricultural activities in every region with the weather and climate condition of that area is necessary for any kind of agriculture activity. Therefore, understanding the climate and analyzing the ecophysiological characteristics of plants are the most ...
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Abstract
Knowledge of the coordination of the agricultural activities in every region with the weather and climate condition of that area is necessary for any kind of agriculture activity. Therefore, understanding the climate and analyzing the ecophysiological characteristics of plants are the most important factors in production. Saffron is one of the most valuable plants, which is planted in special climate conditions and has a unique growth process. At the present, Iran produces of 90% of total saffron production. Despite its old culture compared to other crops produced in the country, production of saffron in Iran that has relied primarily on indigenous knowledge. Analysis of the effect of the weather parameters on the performance of saffron and determining the suitable areas for planting saffron according to these parameters are important for agriculture and the economy. The statistics and data of 20 years taken from all the weather station in the region and the ten years performance of saffron were used in this study. Regression analysis and create of equation using minimum, average, maximum temperature and the relation between these parameters by saffron yield were accomplished by the use of JMP4 software. The digital climate maps of zoning scheme using software ArcGIS9.2 were drawn. The results showed that minimum temperature was the most effective factor on the performance during the month of Mehr, Aban, Azar and Dey compared with the other months and considering average temperature, the most affected months are Mehr, Aban, Azar and Dey. Maximum temperature was most effective on the performance during the month of Aban, Azar, Dey and Esfand compared with the other months Also after analyzing the equation and the climate zonation maps and the final map it become obvious that the most of the areas of the province were able to be ranked as suitable. The north and north-eastern areas were the best areas regarding the parameters discussed in order to grow Saffron. The center of province was considered average region to grow Saffron and the southern and south-western areas were determined the least suitable for growing saffron.
Keywords: Minimum, Average, Maximum temperature, Saffron yield, GIS
