Background and Objective: One of the things that keep us away from sustainable development is the increasing atmospheric carbon dioxide and consequently the rise in global temperature. Forest ecosystems and their optimal management play an important role in reducing atm More
Background and Objective: One of the things that keep us away from sustainable development is the increasing atmospheric carbon dioxide and consequently the rise in global temperature. Forest ecosystems and their optimal management play an important role in reducing atmospheric carbon.
Method: In this study, the effects of natural forests and four plantations on the soil organic carbon and soil properties in Darab Kola forest were investigated. Soil samples were collected in 2016 from three depths of 0-20, 20-40 and 40-60 cm.
Findings: The results of analysis of variance of soil properties showed that there is a significant difference between the land covers and different depths in most of the studied parameters. Also, soil organic carbon storage at 0-60 cm depth from each of the coatings is reduced as follows: cypress> Alder> Natural forest> Oak> Maple.
Discussionand Conclusion: Plantation can play an important role in absorbing carbon dioxide. Of course, different factors such as type of tree species, forestry age and depth of soil, habitat conditions and forestry operations can affect carbon sequestration.
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Background and Objectives: Mangrove forests play an important role in carbon stock, but the amount of carbon stocks in mangrove ecosystems and also different mangrove species are different. Unfortunately, these ecosystems are at dangerous and valuable area of them More
Background and Objectives: Mangrove forests play an important role in carbon stock, but the amount of carbon stocks in mangrove ecosystems and also different mangrove species are different. Unfortunately, these ecosystems are at dangerous and valuable area of them have been destroyed recently. Furthermore, no attempt was done to estimate mangrove soil carbon stock in our country. Then, the objective of this study was to estimate A. marina soil carbon stock and compare it with the other mangrove forest in the world and also with other forest ecosystems of the country.Method: 30 soil samples were taken from the depth of 0-20 and 20-50 cm, in summer 2015. Then the carbon stock of each horizon was determined. Furthermore, correlation between soil carbon stock and soil physiochemical properties were determined. Findings: In the present study, the average carbon stocks in 0-20 and 20-50 cm depth were 13.6 and 26.2 tons per hectare respectively. This means the carbon stock in A. marina soil values is 8756 dollars per hectare. Pearson correlation results revealed that soil carbon stock was significantly correlated with total soil nitrogen and electrical conductivity. While, there were no significant correlations between carbon stocks with the rest of studied parameters.Discussion & Conclusion: Finally, we can’t ignore the A. marina had high potential in soil carbon reservation and it can be affected by soil nitrogen and electrical conductivity. Higher soil carbon stock in subsoil compared to the topsoil can be related to the higher soil nitrogen of the subsoil.
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The aim of this study, was to evaluate the effectiveness of different preprocessing methods and modeling techniques on the accuracy of aboveground carbon stock estimates in two forest stands with different degradation levels (Gahvareh forest and SarfiruzAbad), in Zagros More
The aim of this study, was to evaluate the effectiveness of different preprocessing methods and modeling techniques on the accuracy of aboveground carbon stock estimates in two forest stands with different degradation levels (Gahvareh forest and SarfiruzAbad), in Zagros forests in Kurdistan province. Comparison of different digital pre-processing methods on Landsat 8 images was carried out in different scenarios of radiometric, atmospheric, topographic and their combination. In each scenario, we used four modeling methods included linear regression, generalized additive model, random forest, and support vector machine. In most cases, radiometric correction with improved correction coefficient was 0.71 (R2adj =0.71) and the root means square error of 30% (RMSe% =0.30) was outperformed. Comparison of four modeling methods indicates the lower accuracy of estimates in the SarfiruzAbad area with more degradation severity (R2adj =0.58) compared to the less damaged Gahvareh area (RMSe% =0.74). The random forest method for Gahvareh area and linear regression and a generalized additive model for SarfiruzAbad provides better results, respectively. However, our findings showed that selection of suitable preprocessing and modeling method have a noticeable effect on the accuracies of characteristics estimates in forest ecosystems by Landsat imagery.
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هدف از این مطالعه، بررسی تاثیر جاده سازی در میزان ذخیره کربن در حوزه آبخیز زیارت می­باشد. بر این اساس از 5 کاربری جنگل، مرتع، کشاورزی، جاده و آبراهه نمونه برداری و میزان کربن آلی هر کدام محاسبه شد. نتایج نشان می­دهد جاده سازی عامل کاهش ذخیره کربن آلی بوده و میزا More
هدف از این مطالعه، بررسی تاثیر جاده سازی در میزان ذخیره کربن در حوزه آبخیز زیارت می­باشد. بر این اساس از 5 کاربری جنگل، مرتع، کشاورزی، جاده و آبراهه نمونه برداری و میزان کربن آلی هر کدام محاسبه شد. نتایج نشان می­دهد جاده سازی عامل کاهش ذخیره کربن آلی بوده و میزان آن تفاوت زیادی در کاربری جنکل و سایر کاربری­ها دارد. میزان ذخیره کربن آلی در کابری­های جنگل، مرتع، کشاورزی، آبراهه و جاده به ترتیب 143، 136، 128، 36 و 29 مگاگرم در هکتار می­باشد. نتایج این مطالعه می­تواند در ترسیب کربن و کاهش گازهای گلخانهای مفید باشد.
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