Javad Seyedmohammadi; Bahareh Delsouz Khaki; Fatemeh Ebrahimi Meymand; Zahra Mohammad Esmail; Rasoul Kharazmi; Mohsen Bagheri Bodaghabadi
Abstract
Climate has an important role in agricultural activities and can be examined from two perspectives. First, what locations are suitable for a specific plant, and second, what plants are suitable for a climate. The latter approach is less considered; thus in this study, it has been investigated by introducing ...
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Climate has an important role in agricultural activities and can be examined from two perspectives. First, what locations are suitable for a specific plant, and second, what plants are suitable for a climate. The latter approach is less considered; thus in this study, it has been investigated by introducing a standard method (Sys method). The study area is located in Mako city. Climatic suitability evaluation was performed by numerical (parametric) method using the Maku Synoptic Station data for pistachio, almond, pears, plum, sour cherry and sweet cherry. The findings showed that except for pistachio, with marginally suitable class (S3), other plants were classified as moderately suitable class (S2) but the value of climatic index for each crop was different. The introduced method made it possible to identify the most important effective climatic factors for the cultivation of each plant and determine the most limiting factor in the phenological period. Such findings showed that there is a close relationship between crops, phenological period, climatic characteristic and location. Based on this, the most suitable plant or plant species can be selected for a region, using the phenological period of the plant and climatic characteristics. However, for sustainable development, other components of the land, such as soil and/or topography, should also be evaluated. In general, the introduced approach can be used as an efficient tool, both for choosing the most suitable plants in a climate and for choosing the most suitable place (in terms of climate) for specific plants.
Mohsen Bagheri Bodaghabadi; Naser Davatgar; Shokrollah Hajivand
Abstract
Human activities in the range of natural resources affect the sustainability or instability of ecosystems. Therefore, data interpretation and analysis related to these activities can play a pivotal role in assessing environmental issues and problems. The aim of this study was to analyze human activities ...
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Human activities in the range of natural resources affect the sustainability or instability of ecosystems. Therefore, data interpretation and analysis related to these activities can play a pivotal role in assessing environmental issues and problems. The aim of this study was to analyze human activities in the watershed to investigate the development of rainfed orchards on sloping lands and the stability or instability of related activities. For this purpose, field studies were conducted in two regions of arid (Birjand) and Mediterranean (Khalkhal) and the impact of the orchard estabilishment on the lands of these regions was analyzed. Contrary to expectations, in the arid region with about 170 mm of rainfall, the orchard estabilishment was successful and accompanied by sustainable development, and in the Mediterranean region with more than 350 mm of rainfall, this project was considered failed and unstable. One of the most important factors for the success of this project in the arid region was having indigenous knowledge in creating dams in suitable areas by collecting runoff and sediments, according to the parent materials and the resulting soil. In contrast, the lack of indigenous or formal knowledge in the Mediterranean region, followed by a lack of attention to soil constraints, some of which are affected by parent materials, is one of the main reasons for the failure of the project in this region. Based on the results, For sustainable management special attention should be paid to indigenous knowledge along with formal knowledge.
Mohsen Bagheri Bodaghabadi; Mohammad Jamshidi; Zohreh Mosleh
Abstract
Soil organic carbon (OC) is one of the most important soil properties, especially from an environmental point of view. For this reason, OC modeling and estimating has been highly considered. In modeling, application of pedotransfer functions to estimate soil properties from the other ones have an important ...
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Soil organic carbon (OC) is one of the most important soil properties, especially from an environmental point of view. For this reason, OC modeling and estimating has been highly considered. In modeling, application of pedotransfer functions to estimate soil properties from the other ones have an important place in soil science. Unfortunately, not much attention has been paid to the valuable data that are obtained with the least cost and time in the soil profile description. The aim of this study was to determine the importance of data that obtained from soil profile description to estimate the soil organic carbon in Dehgolan region in Kordestan Province. For this purpose, 30 pedons were excavated and described. Soil samples were collected from different horizons and soil properties such as texture, pH, EC, CCE and gypsum were determined. Modeling was performed in three scenario including laboratory data, data of soil profile description and application of laboratory and soil profile description data simultaneously. The results showed that based on laboratory data, soil organic carbon has a significant relationship with silt and CCE properties with a coefficient of determination about 25% (R2 = 0.25); While, the two soil profile description data of soil color (chroma) and genetic horizon with coefficients of determination about 65% (R2 = 0.65). With compilation of laboratory and soil profile description data the coefficient of determination was also obtained 65%. This level of accuracy clearly shows the value and importance of data related to the soil profile description data.
