Abbas Ali Arvin; Morteza Khodagholi; Susan Moazeni
Abstract
Thyme is one of the most important medicinal plants in the world; some of its species are native to Iran. Given the necessity of thyme preservation and development, the vegetative climatic needs of this plant were addressed in this study. To this aim, 52 climatic parameters influential on the thyme growth ...
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Thyme is one of the most important medicinal plants in the world; some of its species are native to Iran. Given the necessity of thyme preservation and development, the vegetative climatic needs of this plant were addressed in this study. To this aim, 52 climatic parameters influential on the thyme growth were considered in 30 meteorological stations located in Isfahan province and the neighboring provinces. Factor analysis with varimax rotation was then conducted to determine the most important factors influencing the growth of thyme. Determination of the climatic zones of the thyme plant was done using hierarchical cluster analysis, leading to the identification of five climatic zones; according to effective climatic parameters, these included the cold and rainy zone, the semi-arid and cold zone, the dry and windy zone, the arid and cloudy zone, and the dry and hot zone. Cooling temperature factor, with a mean of 2.55, had the most positive effect, while the wind factor, with a mean score of -0.28, had the highest negative impact on the distribution of thymus species in the zones with this species. The precipitation factor, with a mean score of 0.8, had the second rank in the zone that could be suitable for the growth of thyme species. Overall, cooling temperature and precipitation could be regarded as the most important factors in determining the growth and distribution of this species; these factors could have a positive effect in rainy and cold zone and the semi-arid and cold one.
Maryam Asadi; Arash Malekian; Ali Salajegheh
Abstract
GCM models are widely used to assess climate change on a global scale, but outputs of these models are not sufficient and accurate to assess climate change at local and regional levels. Therefore, in this study, SDSM model was used for micro-scaling of CanESM2 model data and climate conditions of Semirom ...
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GCM models are widely used to assess climate change on a global scale, but outputs of these models are not sufficient and accurate to assess climate change at local and regional levels. Therefore, in this study, SDSM model was used for micro-scaling of CanESM2 model data and climate conditions of Semirom region based on three scenarios of RCP2.6, RCP4.5 and RCP8.5 in the period 2020 to 2100. The results of model evaluation based on NCEP database showed that the model was more accurate in estimating and predicting temperature data especially mean temperature. Comparison of observation and simulated data of temperature and precipitation of GCMs in the baseline period (1980 to 2005) based on NCEP predictor variables showed the mean correlation of precipitation data of 0.52, mean temperature of 0.88, maximum temperature of 0.80 and minimum temperature of 0.70 for validation and verification periods. The results of the estimation of precipitation variations in different scenarios also predicted a decrease of at least 7.24% and a maximum of 18.55% for the time period of 2020 to 2100 compared to the baseline period (1980-2005). The results of precipitation prediction also show the changes of precipitation pattern. The comparison of the scenarios also shows that the RCP2.6 scenario as the most optimistic scenario has the least rainfall while the RCP8.5 scenario predicts the highest rainfall reduction. Examination of the predicted changes in temperature also shows an increase for the mean, minimum and maximum temperatures,
Hesel Pouri; Vahedberdi Sheikh; yeganeh hasan
Abstract
The present study has been carried out aiming at suitable site selection for rainwater harvesting across the northern rangelands of the Aq Qala district to supply drinking water for grazing livestocks using the effective criteria and multi-criteria decision support system. The rainwater harvesting suitability ...
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The present study has been carried out aiming at suitable site selection for rainwater harvesting across the northern rangelands of the Aq Qala district to supply drinking water for grazing livestocks using the effective criteria and multi-criteria decision support system. The rainwater harvesting suitability map was created by integrating the multi-criteria evaluation (MCE) technique and standardization (fuzzification) of continuous raster data within ArcGIS. To determine the suitable rainwater harvesting areas, the weighted linear combination (WLC) was applied in the range of 0 to 1 using the multi-criteri evaluation (MCE) within the ArcGIS and and the data of various criteria including distance to water source, distance to cattle post, stocking density, normalized difference vegetation index (NDVI), distance to road, slope percentage, distance to settlement and soil texture. The result indicated that about 2950 ha (~5.2%) of the study area have a good suitability for implementation of rainwater harvesting systems to supply water for grazing livestocks. The results of questionnaire survey revealed that about 70% of 107 stakeholders of the rangelands are highly willing to install and utilize rainwater harvesting systems, but high cost of installing is considered the main hinderance.
Maryam sadat Jaafarzadeh; Ali Haghizadeh; Iraj Vayskarami
Abstract
Agriculture is not only the largest user of groundwater resources throughout the world but also its economy is highly dependent on these sources. Thanks to having more effective parameters and subsequently more accurate results, the classification methods in many fields, such as sustainable agriculture ...
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Agriculture is not only the largest user of groundwater resources throughout the world but also its economy is highly dependent on these sources. Thanks to having more effective parameters and subsequently more accurate results, the classification methods in many fields, such as sustainable agriculture has been taken into consideration. Discriminant analysis models are more complex, more accurate and more efficient in comparison to modern methods. In current study, the areas with infiltration potential located in some parts of Khomein, Shazand, Azna, Aligudarz and Durood areas (Marboreh watershed) were went under investigation using the mixture discriminant analysis (MDA) model. For this purpose, the infiltration samples gathered by double ring test, with the environment-effecting layers on infiltration, were prepared and then introduced to R_studio, employed to run MDA. In order to assess the results, validation indices (ROC curve, CCI, TSS, Recall and Precision indices) were used. According to the results, 6.2, 6.1, 12.7, 13.3 and 15.9% of areas of Shazand, Khomein, Durood, Azna and Aligodarz respectively lie in highly potential infiltration, whereas 1.1 16.5, 14.3, 19.6 and 10.8% of those areas were found to have extremely potential infiltration. Most of these areas have sandy soil texture and Quaternary formations with agricultural and range land uses. The accuracy indices that obtained as 0.89%, 76.66, 0.53, 0.91% and 0.73%, witnessing the acceptance and excellence of model performance. The results of this study can be useful in the decision-making for managers and planners regarding to the groundwater recharge in accordance with urban and agricultural needs, because groundwater resources and ensuring their stability are the main factors for sustainable agriculture.
vahid chitsaz; Aliakbar Nazari Samani; Saeed Soltani; sadat feiznia
Abstract
Sediment and erosion are two natural phenomena in watersheds. Due to irregular recording and sampling difficulties, daily data are not available for sediment records. Therefore, decision makers and researchers have to apply interpolating methods to estimated sediment yields. In this study, 30 watershed ...
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Sediment and erosion are two natural phenomena in watersheds. Due to irregular recording and sampling difficulties, daily data are not available for sediment records. Therefore, decision makers and researchers have to apply interpolating methods to estimated sediment yields. In this study, 30 watershed characteristics including physiography, geomorphology, vegetation, climate conditions in 69 watersheds located in the Karoon and Karkheh basins were used to statistical analysis. Based on the principle component analysis, eight characteristics including area, perimeter, river length, relief, mean of elevation at 85% upstream and 15% point of longest flow path and the number of landslide events were selected. Then using Cluster Analysis, six homogenous regions were identified and multiple regression models were applied. Due to constriction of large dames on the studied watersheds, access to the reliable data is a challenges for sediment yield analysis. Based on the sediment-precipitation double-mass curves 29 out of 35 stations were influenced by upstream dam. Results indicated that the effects of large reservoir dams can influence the downstream sediment yield along 98 Km of river length. The results show that in each group a particular combination of variables influence the sediment yields of the watersheds. According to the validation indices (NS and R2) the obtained models have the high performance (R2 = 0.71 and NS=0.72). In general, the physiographic characteristics of the watershed such as length, area, main flow path and relief are more important than other climatic, vegetation and geological factors. The total explain variance by the mentioned variables is 87.3%.
Sayyed Alireza Hosseini; Hassan Khosravi; Hamid Gholami; Yahya Esmaeilpour; Artemi Cerda
Abstract
In this study, land use change trend in coastal areas of south of Iran, including Sistan Baluchestan, Hormozgan, Bushehr were studied during 31 years (1988-2019). Landsat satellite images including TM, ETM +, OLI were used for this purpose. The maximum likelihood method was also used to classify satellite ...
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In this study, land use change trend in coastal areas of south of Iran, including Sistan Baluchestan, Hormozgan, Bushehr were studied during 31 years (1988-2019). Landsat satellite images including TM, ETM +, OLI were used for this purpose. The maximum likelihood method was also used to classify satellite images. Vegetation indices (SAVI) and salinity index (SI1) were used to influence land use classes on land degradation and desertification. The results of land use change trend showed that Changes in land use classes of man-made areas and saline lands as the most dynamic land use classes followed an increasing trend of 2.72% and 1.14%, respectively. The results of multivariate regression analysis showed that three vegetation, saline and man-made variables, and four vegetation, saline, man-made and sandy areas explain 22.3% and 37.8% of the dependent variables of vegetation and salinity indices, respectively. Therefore, in more than 60% of changes, other environmental variables are affected. Hence, with respect to the results of land use area and regression analysis and the mean trend of SAVI and SI1 changes, where vegetation and SAVI classes show decreasing trend and saline land and SI1 classes have increasing trend, it can be concluded that land use changes is phenomena that changes ecosystem services with almost irreversible impacts. This will have nothing to do with disturbing the ecosystem balance and intensifying land degradation in coastal areas.
Hamidreza Keshtkar; Hassan Yeganeh; Omid Kavoosi
Abstract
Ferula gummosa is one of the rare and valuable species in Iran's rangelands, which is exploited by local stakeholders due to its high economic value. Protecting this species can help maintain the biodiversity and stability of mountainous areas. This study was conducted to compare the performance of six ...
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Ferula gummosa is one of the rare and valuable species in Iran's rangelands, which is exploited by local stakeholders due to its high economic value. Protecting this species can help maintain the biodiversity and stability of mountainous areas. This study was conducted to compare the performance of six predictive models: Artificial Neural Networks, Random Forest, Classification Tree Analysis, Surface Range Envelope, Generalized Boosting Machines, and Generalized Linear Models. To evaluate the interactions between topographic factors and other variables, two environmental datasets were quantified and used for model calibration. The first dataset includes eleven factors covering topographic, climatic, edaphic, and remote sensing variables. Meanwhile, the second dataset contains six factors, focusing on climatic, edaphic, and remote-sensing variables. Model accuracy was evaluated using the True Skill Statistic (TSS), the area under the curve of the Receiver Operating Characteristics (ROC), and the Accuracy Index. The evaluation indices indicate that the Generalized Boosting Machine (GBM) model predicted the ecological niche of F. gummosa more accurately than the other methods. Additionally, the results showed that removing topographical variables reduced the model accuracy by 11 to 25%. The slope, NDVI, wetness, and soil groups were found to be the most important factors in mapping potentially suitable habitats for the target plant. According to the results obtained from the GBM model, approximately 45% of the Ghorkhoud area is in excellent condition. This knowledge can aid in the selection of predictors for practical Species Distribution Model (SDM) applications and provide information on which modeling techniques are most useful for a group of species.
Mahroo Dehbozorgi; Mohammad Jafari; Arash Malekian; Gholamreza Zehtabian; seyed rashid fallah shamsi
Abstract
In Iran, due to arid and semi-arid weather conditions the optimal use of limited water and soil resources has a particular importance. Land degradation is the result of incorrect policies in land management, which is a prominent example in the Bakhtegan watershed. Human factors, as well as climate changes ...
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In Iran, due to arid and semi-arid weather conditions the optimal use of limited water and soil resources has a particular importance. Land degradation is the result of incorrect policies in land management, which is a prominent example in the Bakhtegan watershed. Human factors, as well as climate changes and the phenomenon of drought in recent years, have caused the area to be severely degraded in terms of water and soil resources and the life of Bakhtegan wetland has been subject to destruction. In this study, it was tried to identify natural and ecological factors as well as human parameters affecting the destruction and vulnerability of the area using fuzzy classification method and hierarchical analysis method (AHP) as well as the capabilities of GIS modeling, the data from the criteria and effective layers have been used and the level of vulnerability and land degradation has been determined. According to the results of the research, the level of land degradation and instability in the area has a large extent (48% of the area), However, the level of vulnerability in the central and downstream regions of the watershed and often in areas affected by human factors such as high population density, consumption of water in the agricultural sector, improper management of land use in the region, as well as dams and dike construction, has been increased. It was also concluded that human parameters have a more significant role in the degradation and vulnerability of the region compared to ecological and environmental factors.
Seyed Mahdi Sadat Rasoul; Ebrahim Omidvar; Reza Ghazavi
Abstract
In the recent years, science and technology in urban green space have largely focused on technologies that facilitate infiltration and reduce runoff (such as rain gardens and permeable sidewalks). Trees in urban green space reduce the net rainfall by interception, and on the other hand, their extensive ...
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In the recent years, science and technology in urban green space have largely focused on technologies that facilitate infiltration and reduce runoff (such as rain gardens and permeable sidewalks). Trees in urban green space reduce the net rainfall by interception, and on the other hand, their extensive root systems allow them to store and direct significant amounts of water into the soil. The present study investigates the effect of rainfall amount and tree species on rainfall interception in Hashtgerd city of Alborz province during two seasons of winter 2017 and spring 2018. For this purpose, during seven rainfall events, the amount of throughfall was measured by the number of five rain gauges installed under each tree. In order to record rainfall events, a rain gage container was installed in a location that was sufficiently distant from buildings and trees, and rainfall events ranging from 2.1 to 6.8 mm were recorded. The results showed that the percentages of rainfall interception for spruce, apricot, fig, willow, walnut, and oak species were 44.6, 42.6, 36.4, 35.1, 33.6 and 30.4 percent, respectively. The results of statistical analysis showed that there is a significant difference among the values of rainfall interception in different tree species (P <0.01). Also, there is a significant difference among the rainfall interception in the rainfall classes (low (lower than 4 mm), medium (4-6 mm), and high (higher than 6 mm)) (P <0.01). Among the studied species, sparrow and apricot species have the highest rainfall interception, which it is possible to make more use of these two types in the control of runoff with urban planning.
Elham Akbari; Leila Avazpour
Abstract
In the last two decades, the concept of social capital has been emphasized through its connection with the basic social components, including awareness, participation, trust, cohesion and social network, in the direction of the sustainable development of societies, especially local societies; Therefore, ...
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In the last two decades, the concept of social capital has been emphasized through its connection with the basic social components, including awareness, participation, trust, cohesion and social network, in the direction of the sustainable development of societies, especially local societies; Therefore, to achieve sustainable local development, having social capital is essential. Considering the importance of this issue and relying on numerous problems and deficiencies at the level of villages in dry areas, this article analyzes the dynamics of social capital in the establishment of local sustainable development in the dry area of southern Kerman based on the method of social network analysis in two periods before and after. It has implemented the community-oriented project of empowering local communities in three villages of Gaubnan, Chahan and Chah Nasir of Qalaganj city. First, by completing the questionnaire and direct interview with the local stakeholders (the heads of the rural microcredit fund), the required data was collected. Then, outgroup social capital was investigated based on trust and participation links using quantitative and mathematical indicators of the macro level of the network (density index and E-I). The results show the increase of density index and improvement of out-group relations in the stage after the implementation of the project and strengthening the amount of out-gro, to realize rich outgroup social capital in this society, because the social dimension of development It is not possible to be sustainable without taking into account the social capital and the participation of that area.
Golnoosh Savartondrow; Salman Zare; Khaled Ahmadaali; Mohammad Jafari
Abstract
Due to the lack of water in the deserts of Iran and the high rate of evaporation, the establishment of vegetation and their irrigation are associated with many problems. Therefore, in the management programs for the sustainable development of dry and desert areas, it is very necessary to use less water. ...
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Due to the lack of water in the deserts of Iran and the high rate of evaporation, the establishment of vegetation and their irrigation are associated with many problems. Therefore, in the management programs for the sustainable development of dry and desert areas, it is very necessary to use less water. Among these methods, deep subsurface irrigation using PVC pipes can be mentioned. In this study, a hole with a depth and diameter of 50 cm was dug, and then two pipes were mutually placed at a distance of 20 cm from each other on both sides of the pit. After placing the pipes, the pit was filled with soil. The wetting pattern in eight treatments has been examined in terms of the location of the water exit holes, the diameter of the pipe, the number of holes in the upper and lower half of the pipe, as well as the diameter of the holes. The results demonstrated that pipes with a diameter of 12.5 cm and a height of 55 cm, with five double rows of 6 mm holes in the upper half of the pipe at a distance of 3 cm from each other and two holes in the lower half of the tube at a distance of 10 cm from each other, The best depth of wetting pattern is created. The depth of the wetting pattern created in the soil around the plant root as a representative of water use efficiency is very important in the management and correct use of water resources as well as encouraging the plant to take deep roots. .
Fariba Zakizadeh; Alireza Moghaddam Nia; Ali Salajegheh; Abdollah Ardeshir
Abstract
Over the past few decades due to population growth and urban development, urban runoff has increased and led to different problems such as inundation of urban pathways, dissemination of environmental pollutions and flood hazards. In order to urban runoff management, it is necessary to estimate runoff ...
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Over the past few decades due to population growth and urban development, urban runoff has increased and led to different problems such as inundation of urban pathways, dissemination of environmental pollutions and flood hazards. In order to urban runoff management, it is necessary to estimate runoff rate correctly. SWMM is one of the most widely used models in estimating urban runoff. The goal of this research is to evaluate the performance of SWMM model in simulating flow rate in an urban watershed in District 22 of Tehran. At first, model required parameters were calculated. For model evaluation and validation, in three events, runoff was measured in the watershed outlet and was compared with simulated runoff. The model validation results showed that the simulated flow rates had good adaptation with the observed ones. The validation results were used for estimating optimum values of model input parameters. The results of SWMM model evaluation confirm model accuracy with NS= 0.72 and RSR= 0.53 and indicate the model ability in simulating urban runoff. So, SWMM model can be used for urban runoff management plans and designing urban runoff drainage networks in this area.
Ardavan Ghorbani; Shahin Shafaee; Mehdi Moameri; Akbar Ghavidel; Ehsan Zandi
Abstract
The aim of this study was conducted to investigate the effect of 25 years old exclosure on the function of aerial and underground organs of Trifolium pratense since may to july of 2017. Three sites inside and three outside of the exclosure were selected in the rangelands in Shoghaldare- Namin rangelands, ...
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The aim of this study was conducted to investigate the effect of 25 years old exclosure on the function of aerial and underground organs of Trifolium pratense since may to july of 2017. Three sites inside and three outside of the exclosure were selected in the rangelands in Shoghaldare- Namin rangelands, Ardabil. Three transects with the length of 100 meters were established in each site and from 10 plots of 1 m2 vegetation characteristics including total production, canopy percentage and forbs canopy were estimated. In order to select T. pratense stand and measure the selected parameters (to study the effect of exclosure on the function of different organs of T. pratense), in addition to previous transects, in each site was randomly established 3 transect of 50 meters. Along each transect, 10 random points and in each point the nearest plant was selected. Length of root, stem, inflorescence, plant height and basal diameter of T. pratense were recorded. Moreover, the inflorescences, stems and roots of the selected T. pratense were cut and after air-drying, they were weighed with a precision scale. Results showed that the total production in the exclosure (2413/06 kg/ha) has significant difference (p < 0/01) with the outside of exclosure (963/84 kg/ha). The production of T. pratense inside exclosure (99.83 kg/ha) has also significant difference (p < 0/01) with outside the exclosure (22.75 kg/ha). Interaction of exclosure and elevation has significant effect on canopy cover (forbs and total), number of inflorescences, basal diameter, weight of plant organs (p < 0/01) and recovery effort (p < 0/05).
Rezaali Domehri Vasati Kolaei; Mohammad Jafari; Hossein Arzani; Seyed Akbar Javadi; Mahmood Arabkhedri
Abstract
The purpose of this study was to compare the condition and management of rangeland before and after replacing the soil condition assessment method in the soil factor of the four-factor method in order to determine the most appropriate rangeland condition method. Rangeland status assessment was performed ...
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The purpose of this study was to compare the condition and management of rangeland before and after replacing the soil condition assessment method in the soil factor of the four-factor method in order to determine the most appropriate rangeland condition method. Rangeland status assessment was performed for both conditions in Poshtkuh rangelands of Mazandaran and then the status, rangeland management methods and their management and improvement programs were proposed and compared with each other. The results of rangeland condition assessment before replacing the soil condition assessment method in soil factor showed that rangelands had poor and very poor condition with a negative tendency and artificial rangeland management method and rehabilitation programs, mulching and seeding were proposed. The results of rangeland condition assessment after replacing the soil condition assessment method in the soil factor showed that the rangeland condition was in the middle and poor class, for which natural and artificial rangeland management methods were proposed, respectively. For the natural rangeland method, periodic-delayed and periodic-rest grazing systems were proposed based on the average status of the rangeland, and the breeding programs of the artificial rangeland method have not changed and are the same as the previous method. The results of comparative statistical analysis showed that there was a significant difference between the mean score of soil factor before and after replacement in the 95% confidence interval, . This method can be used as a method based on quantitative-qualitative evaluation to identify the functional and structural characteristics of ecosystems.
Moslem Rostampour; Alireza Eftekhari
Abstract
This research was carried out in an enclosure rangeland with four habitats of Artemisia sieberi, Zygophyllum eurypterum, Stipa barba and Amygdalus scoparia in the Shaskouh protected area, South Khorasan province. All the plant species of the rangeland were identified and counted in 200 plots, due to ...
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This research was carried out in an enclosure rangeland with four habitats of Artemisia sieberi, Zygophyllum eurypterum, Stipa barba and Amygdalus scoparia in the Shaskouh protected area, South Khorasan province. All the plant species of the rangeland were identified and counted in 200 plots, due to the different vegetation form and distribution of each of the dominant species, in each of the four habitats, 20, 40, 60 and 80 plots (respectively) were established with two plot size: 2 × 2 meters and 4 × 4 meters (60 plots each). Numerical indices and diversity ordering curves were used to compare four habitats. Alpha and gamma species richness were determined by numerical indices and single sample rarefaction and pooled rarefaction curves were used to compare species richness and determine data adequacy. The results showed that the total species richness (gamma) varies between 51 and 54 species. The habitat with 80 plots has the highest richness and diversity (S=43 and H=3.27) and 20 plots has the lowest richness and diversity (S=6 and H=1.41). The results of SHE analysis showed that with the increase in the number of plots, species evenness decreased. The pooled refraction curve showed that by increasing the number of plot to 110, all plant species will be observed. With the increase in plot size all values of species richness and diversity indices increased significantly (p≤0.01). Species evenness indices were not affected by plot size. The results of the present research showed that the numerical indices of species richness and diversity are dependent on plot size, and this is one of the disadvantages of evaluating biodiversity in rangeland using numerical indices.
Mahboobeh Abasi; Mohammad Ali Zare Chahouki; Hossein Bagheri
Abstract
The main objectives of this study were to prepare a prediction map of the potential habitat of Agropyron intermedium and Find important factors influencing the establishment and distribution of this species and the preferred tendency of the species was relative to environmental factors Using the Maxent ...
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The main objectives of this study were to prepare a prediction map of the potential habitat of Agropyron intermedium and Find important factors influencing the establishment and distribution of this species and the preferred tendency of the species was relative to environmental factors Using the Maxent model. For modeling, region condition information was prepared including topography, climate, geology and soil, satellite images, digital elevation model (DEM), geology map, and climatology data. Then soil and plants sampling was performed and Soil samples were transferred to the lab. Soil properties were measured including gravel, pH, EC, lime, organic matter, N, K, P, sand, clay, and silt in the laboratory. Geostatistical methods were used for data analysis and mapping of environmental variables and the Maxent model was used for prediction maps. Kappa coefficient indicates that the Maxent model predicted A. intermedium habitat at a very good level (kappa = 0.85). Also, the accuracy of the classification of habitat maps predicted in the Maxent model is acceptable according to the analysis of the area under the curve (AUC = 0.771). The results showed that topographic variables and clay soil factor in the occurrence and distribution of A. intermedium has the greatest effect and increasing lime and ec have a negative influence on the presence of this species. A. intermedium is a desirable species that in addition to being used in creating hand-planted pastures, it is very important in improving and developing rangelands, especially in cold regions. Therefore, maintaining genetic and scientific,
hosein Saemipour; Arash Malekian; Mehdi Ramezan zadeh lasbuei
Abstract
Sustainable development will not be realized in any country unless social capital is reinforced. Accordingly, present study made an attempt to measure social capital of local beneficiaries network in traditional boundary of Telobine in Mayamei county, Semnan province through network analysis approach ...
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Sustainable development will not be realized in any country unless social capital is reinforced. Accordingly, present study made an attempt to measure social capital of local beneficiaries network in traditional boundary of Telobine in Mayamei county, Semnan province through network analysis approach considering macro and micro level indexes. Besides, social powers and local leader playing critical role in sustainable development will be identified. Based on trust and participation ties, level of social capital was respectively moderate and weak and social capital of the village was estimated weakening . It can be argued that reinforcement of trust and participation in this village essential for faster knowledge and resource transfer and also for better unity of beneficiaries. It was as well revealed that Gh.Ar and Mo.Ar are core actors among Telobin traditional boundary beneficiaries. High authority and social influence of these actors contribute greatly to the establishment organizations and other beneficiaries toward rural sustainable development.
Javad Motamedi; Ali Mohebi; Kambiz Alizadeh
Abstract
Background: Coping with climate change (CC) is part of the way to face this phenomenon. This depends on the understanding of CC and the degree of adaptability to it.Objective: The research was conducted with the aim of measuring the level of nomads' understanding (NU) of CCe and their adaptation strategies ...
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Background: Coping with climate change (CC) is part of the way to face this phenomenon. This depends on the understanding of CC and the degree of adaptability to it.Objective: The research was conducted with the aim of measuring the level of nomads' understanding (NU) of CCe and their adaptation strategies (AS) in the face of CC.Research method: The research was descriptive and the data collection tool was a questionnaire whose items were obtained based on interviews.Findings: NU of the effects of CC is not the same. According to them, CC has had the most obvious impact on vegetation. The priority of AS is also different in the face of CC. A positive relationship was observed between understanding the effects of CC and the degree of adaptability in facing CC. Nomads who had a better understanding of the effects of CC have used livestock management strategies to adapt to it. Age and history of animal husbandry had a positive relationship with the level of understanding of the effects of CC. A negative and significant relationship was also observed between the number of animals and the degree of compatibility.Conclusion: The NU of CC and its effects on the ecology of the environment is an important starting point in dealing with the negative effects of CC and choosing appropriate strategies to adapt or deal with it. So that the selection of suitable adaptation methods by the nomads reduces the vulnerability of CC on the condition of livestock and rangeland.
Samira Amoie; Mohammaadreza Tatian; Ghodratolah Heydari
Abstract
This study investigates the effective factors in land-holders use of 4 tree species including: Acer velutinum, Quercus castaneifolia, Carpinus betulus, Diospyrus lotus and 4 species of shrubs including Mespilus germanica, Prunus cerasifera , Celtis australis and ALbizia julibrissin to feed livestock ...
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This study investigates the effective factors in land-holders use of 4 tree species including: Acer velutinum, Quercus castaneifolia, Carpinus betulus, Diospyrus lotus and 4 species of shrubs including Mespilus germanica, Prunus cerasifera , Celtis australis and ALbizia julibrissin to feed livestock and determine their nutritional value in livestock places of forest regions around Javaherdeh village in Ramsar city of Mazandaran province at the end of leaf growth stage. In order to perform sampling in a stage vegetative growth was done randomly. Then the green leaves which were dried in the open air and sized were transferred to the laboratory. The aim was to determine forage quality including: parameters of crude protein (CP), phosphorus (P), nitrogen (N), potassium (K), insoluble fibers in acidic detergent (ADF), insoluble fibers in neutral detergent (NDF), Dry matter content (DMD), metabolic energy (ME). This research was conducted in a completely randomized design and the analysis of laboratory data in SPSS software and the analysis of information obtained from the questionnaire using Friedman test was used to perform statistical analysis of collected data. The results showed that the Albizia julibrissin species due to the amount of metabolic energy (11.25), dry matter digestibility (77.97), crude protein (22.77), crude fat (5.26), insoluble fibers in neutral detergent (52.44), have a higher forage quality than the other seven species. The findings indicate that the nutritional value of Albizia julibissin has been associated with its greater utilization by ranchers, it shows the importance of local knowledge in this field.
monirsadat tabatabaeezadeh; Ali Akbar Karimian; Mohammad Matinizadeh; Mohammad Hadi Rad; Seyyed Kazem Sabbagh
Abstract
The symbiosis of arbuscular mycorrhizal fungi with plants root plays an important role in the sustainability and development of medicinal plant communities in ecosystems which are subject to various physical and ecological pressures.Teucrium polium L. is one of the most important medicinal plants that ...
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The symbiosis of arbuscular mycorrhizal fungi with plants root plays an important role in the sustainability and development of medicinal plant communities in ecosystems which are subject to various physical and ecological pressures.Teucrium polium L. is one of the most important medicinal plants that exists in these areas. In this study after identifying three species of mycorrhizal fungi consist of G. rosea، S. constrictum، G. intraradices which were abundant in the soil of the root zone, The spores were propagated separately and a combination of fungi. Then spores were inoculated with T. polium seeds in a completely randomized design with three replications under greenhouse conditions. After the end of growth period, results showed that the highest stem length was related to G. intraradices. The highest fresh and dry weight of shoots (1.61 and 4.34 g) and root dry weight (0.7 g) were related to combined fungi treatment that showed a significant difference with other treatments. Also the combination of fungi had the highest carotenoid concentration (7.32%). Inoculation of plants with fungal treatments of G. rosea, S. constrictum and G. intraradices (separately) also significantly increased chlorophyll (a) concentration compared to control. Eventually, the results showed the beneficial effects of mycorrhizal symbiosis in T. polium plant that combined use of these fungi can have a much greater and better effect on improving plant growth conditions, as fungi exist in form of combination in nature.
Jamshid Ghorbani; Nateq Lashkari Sanami
Abstract
Background: Coal mining in rangelands accounts for a considerable amount of waste dumps that can be colonized by local plants over time. A thorough understanding of vegetation changes plays a key role in the management and restoration of such ecosystems. Aim: This study aimed to assess the rangeland ...
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Background: Coal mining in rangelands accounts for a considerable amount of waste dumps that can be colonized by local plants over time. A thorough understanding of vegetation changes plays a key role in the management and restoration of such ecosystems. Aim: This study aimed to assess the rangeland plant changes during 10 years on coal-waste dumps. Materials and methods: This study was carried out on three coal-waste dumps which were abandoned between 20 and 30 years in Karmozd mines in Savadkoh County, Mazandaran Province. Vegetation sampling was done in 2012 and 2022, estimating the cover percentage of all species in each 1 m2 plot. Species composition, functional groups, and species richness and diversity were compared between the two years. Results: Results showed changes in species composition and plant groups after 10 years. Some species were not found in 2022 while some new species were detected. The cover percentage of Bromus briziformis and Melica persica significantly increased but Hordeum vulgare was found to significantly decrease. The cover percentage of annuals and perennials significantly increased by 35.28% and 46.19%, respectively. Over the time, the cover percentage of grasses, forbs, and shrubs significantly increased. The results of ANOVA indicated a significant increase in species richness and diversity. Conclusion: Vegetation changes during this period have not been affected by age of each dump since abandonment. Restoration treatments and plant species with phytoremediation potential are recommended to accelerate vegetation dynamics and reduce the consequences of coal-waste dump on the surrounding environment.
Sadat Feiznia; Rabbaneh Roughani; Saeed Soltani
Abstract
Particulate matters (PM) has a negative effect on human health especially in industrial and urban areas due to their great potential of reaching the furthest parts of human lungs. Therefore, it is essential to conduct continuous monitoring of PM in order to assess their spatial and temporal trend in ...
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Particulate matters (PM) has a negative effect on human health especially in industrial and urban areas due to their great potential of reaching the furthest parts of human lungs. Therefore, it is essential to conduct continuous monitoring of PM in order to assess their spatial and temporal trend in ambient air. This study aimed to assess the spatial and seasonal variations of PM2.5, PM10, total suspended particles (TSP) concentration and evaluating their correlations with meteorological parameters in surrounding regions of Isfahan city, Iran. PM2.5, PM10 and TSP concentrations (24-hours) were measured by gravimetry method with low volume air sampler for one-year period (July 2015-July 2016) at three stations located on western, eastern and southern part of Isfahan. The overall daily mean concentrations of PM2.5, PM10 and TSP were 73, 101 and 134 µg/m3 in east; 50, 86 and 103 µgr/m3 in the south; and 23, 45 and 53 µgr/m3 in west stations, respectively. This study identified that PM2.5 concentrations were above the US Environmental Protection Agency (EPA) guideline at all stations. The daily mean concentration of PM2.5, PM10, and TSP showed a negative correlation with humidity, while a positive correlation was observed between daily average temperature and all pollutant concentrations. A weak positive correlation was observed in case of wind speed. This study found that the meteorological condition has the highest impact on fluctuating PM2.5 concentration over the monitoring period. Pollution rose analysis indicated that westerly and north-westerly wind increased PM2.5 concentration at all sites.
Ghasem Ghoohestani; Salman Zare; Hamed Rafiei; Sepideh Ravasizadeh; Akbar Ryahi; farhad sardari
Abstract
Low income level of local communities is one of the causes of natural land degradation. Implementation of moringa peregrina cultivation development plan in the desert areas of southern Iran leads to its economic development. The economic level required by every rural household has become. The research ...
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Low income level of local communities is one of the causes of natural land degradation. Implementation of moringa peregrina cultivation development plan in the desert areas of southern Iran leads to its economic development. The economic level required by every rural household has become. The research data were extracted from the moringa peregrina development plan prepared by the Forests, Rangelands and Watershed Management Organization and all data were calculated in the base year of 1400. Due to the limited land and the need for an appropriate criterion for the participation of each rural household, the minimum economic level was determined in each of the executive areas. Determining the minimum economic level using the financial evaluation of the project, financial indicators of net present value (NPV), Benefit Cost Ratio (BCR), internal rate of return (IRR) and return on investment (ROI) for the duration of the project from 1400 to 1420 Was examined. Considering the location and topography of the region in general, financial indicators indicate the appropriateness and profitability of the project. Taking into account the average costs of each household in the village of Sistan and Baluchestan province in the implementation of the plan of minimum economic level in plain areas (0.8 hectares), flat areas (3.24 hectares), terrace areas (4.48 hectares), areas Mahour hill (11.08 hectares) and mountainous and impassable areas (6.21 hectares) have been estimated. The minimum level obtained can provide decision makers with valuable information for desert land management in areas prone to moringa peregrina cultivation.
Zeinab Mohammadi Raigani; kazem Nosrati
Abstract
Accelerated soil erosion poses a serious threat to land management sustainability and water resource utilization in many areas of the world. The objective of this study was to apportion surface (cropland and rangeland) and subsurface (channel bank) sources relative contributions to the supply of suspended ...
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Accelerated soil erosion poses a serious threat to land management sustainability and water resource utilization in many areas of the world. The objective of this study was to apportion surface (cropland and rangeland) and subsurface (channel bank) sources relative contributions to the supply of suspended sediment during the storm event in Kamish mountainous catchment, using a geochemical fingerprinting approach and Bayesian un-mixing model. To this end, thirty-four geochemical tracers were measured as potential tracers to evaluate surface and subsurface sediment sources (69 samples), including 10 target suspended sediments samples collected across the hydrographs of a flood event at the overall catchment outlet. In total, two statistical methods Kruskal–Wallis H test and discriminant function analysis (DFA) were used to select the optimum tracer composition. The results of Bayesian un-mixing model indicated that mean (uncertainty range) relative contribution of cropland and rangeland (surface land-use) and channel bank (subsurface) sources are 31.8 (12.7-50.3), 33.2 (17.5-49), 35.2 (25.6- 44.6) percent, respectively. These results indicate surface and subsurface sediment sources have the same contribution to the supply of suspended sediments during the basin flood event. Although sediment sources contribution in during the flood event change intermittently between subsurface and surface soils. As a result, targeted management practices should focus through erosion and land use control of these sources for minimizing their effects on fine sediment deposition.
Monireh Bahrami; Fereydoon Sarmadian; Ebrahim Pazira
Abstract
Rangelands are one of the essential components of natural ecosystems and are known as one of the main sources of forage supply, biodiversity conservation, soil and water resources. The aim of this study was to investigate the ecological potential of rangelands in Alborz province based on the Analytic ...
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Rangelands are one of the essential components of natural ecosystems and are known as one of the main sources of forage supply, biodiversity conservation, soil and water resources. The aim of this study was to investigate the ecological potential of rangelands in Alborz province based on the Analytic Hierarchy Process (AHP) and pairwise comparisons using Geographic Information System (GIS). The digital map of ecological potential (EP) was prepared by weighting and integrating maps of slope, land unit, vegetation cover, land use, and precipitation. The results showed that each of the five criteria had equal importance coefficients (0.2) for determining the EP of rangelands. Overall, 21.77% of the province's area was unsuitable for rangeland use due to rocky outcrops. 15.41% of the province's area had first-degree potential and 37.28% had second-degree potential for rangeland use. Taleqan County had the highest first-degree potential for rangeland use with 56,321 hectares, and Karaj County had the highest second-degree potential with 96,507 hectares. Nazarabad County had no first-degree potential for rangeland use, and Taleqan County had no fourth-degree potential. Nazarabad County and Eshtehard County also had 48.15% and 63.92% potential for third- and fourth-degree rangeland use, respectively. Based on the weighting of different factors, slope was the most limiting factor for rangeland use, accounting for more than 50% of the limitation. In general, determining the EP of rangelands leads to identifying areas that are very suitable for optimal use of natural resources, and can increase rural income and employment both economically and socially.
