Yahya Parvizi
Abstract
All worldwide studies verifies global phenomenon of climate change caused by the greenhouse effect of carbon emissions on this planet. Carbon sequestration in terrestrial ecosystem is a sustainable approach, with no environmental risks. One of the key potential in carbon sequestration in our country ...
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All worldwide studies verifies global phenomenon of climate change caused by the greenhouse effect of carbon emissions on this planet. Carbon sequestration in terrestrial ecosystem is a sustainable approach, with no environmental risks. One of the key potential in carbon sequestration in our country is the watershed management biomechanical operations in the natural resources areas. This research was conducted to evaluate this operation options in north and middle parts of Zagros ecological zone in atmospheric carbon sequestration and to offer optimal options for these regions. For this purpose, in each of the provinces (Kermanshah, Lorestan, Kurdistan and Fars), one or more representative sites were selected. Then, soil, biomass and litter sampling were taken by field operations using systematic randomized method. Soil organic carbon and other soil physic-chemical properties and carbon stock of biomass and litter samples were determined in the laboratory. Then, carbon sequestration indices including soil, biomass, litter and total carbon sequestration, were measured per hectare. Analysis of the research results indicated that these operations are mainly planting of different trees along with flood and water spreading and bankets. Watershed management operations sequester up to 3.41 to 112.1 tons of carbon per hectare. Contribution of soil from total carbon sequestration was around 95 to 99 percent measured across different study site. Native terracing with tree planting of grapes (Vitis spp) and almond (Amygdalus spp) were the more efficient option in carbon sequestration along the selected areas.
Somaiye Moghimi; Yahya Parvizi; Mohammad Hossein Mahdian; Mohammad Hassan Masihabadi
Abstract
Soil organic carbon is one of the most important soil characteristics, and any changes in its content and composition, affects soil physical, chemical, and biological characteristics. Enhancing soil organic carbon improves soil structure, increases water and nutrients in soils, reduces soil erosion and ...
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Soil organic carbon is one of the most important soil characteristics, and any changes in its content and composition, affects soil physical, chemical, and biological characteristics. Enhancing soil organic carbon improves soil structure, increases water and nutrients in soils, reduces soil erosion and degradation and thus greater productivity of plants and water quality are expected in watersheds and ultimately soil and ecosystem reclamation happens. Climatic, topographic and managerial factors affect soil organic carbon content. In local scale, climatic factors have not high efficiency on soil organic carbon and topographic factors play more important role compared to climate on soil organic carbon variability. The objective of this study was to predict and evaluate the effects of topographic factors such as elevation, slope percent, aspect, hill shade, and curvature on the soil organic carbon content of a rangeland in Mereg watershed, Kermanshah, Iran. Stepwise Multi Linear Regression (MLR) and Artificial Neural Network (ANN) were employed to develop models to predict soil organic carbon. AMulti-Layer Perceptrons (MLP) ANN withback-propagationerror algorithm was applied to this research.Theresult showed that themulti linear regression and ANN models explained53and 77percent of the total variability of soil organiccarbon, respectively. The calculated RMSE and MBE were 0.40 and 0 for the MLR and 0.16 and 0.003 for MLP models. Results indicated that designated ANN model with 5-9-1 arrange was more feasible than multi linear regression for predicting soil organic carbon. Elevation with 0.79, hill shade with 0.64 and slope percent with 0.24, were identified as the important factors that explained the variability of soil organic carbon.
Athar Kaveh; Mohammad Hossein Mahdian; Yahya Parvizi; Reza Sokouti Oskuee; Mohammad Hassan Masih Abadi
Abstract
Carbon storage is one of the assessment criteria of ecosystem sustainability, so land improvement and reclamation can be followed by investigating the effective managerial factors. This study was conducted to investigate the management scenarios and their effects on carbon storage in Sar Firoozabad watershed, ...
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Carbon storage is one of the assessment criteria of ecosystem sustainability, so land improvement and reclamation can be followed by investigating the effective managerial factors. This study was conducted to investigate the management scenarios and their effects on carbon storage in Sar Firoozabad watershed, Kermanshah province, Iran. Mapping units were prepared with combination of slope and aspect layers. The common management systems in the form of scenarios of residue management, crop rotation, and tillage were investigated and relevant indices were quantified. In the next step, the watershed area was separated into homogeneous zones and soil sampling in the units, was performed using a randomized systematic method. After transporting the samples to laboratory, soil organic carbon storage was calculated by determining their bulk density, texture, and organic carbon. Results of multivariate analysis showed that seven variables of tillage index, cereal sequence, straw burning, manure application, rotation systems, winter fallow and plow direction predict 52 percent of the soil carbon storage variability with 0.724 correlation coefficient and 0.46 modeling efficiency, using the cluster analysis,. In general, it can be concluded that cluster analysis is recommended for investigating carbon storage in soils and rotation and tillage systems are significant examples of soil management components that are certainly very important in terms of carbon storage.
