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Showing 2 results for Pourhashemi

Hossein Mirzaie-Nodoushan, Zahra Abravesh, . Mahdi Pourhashemi, Majid Hassani, Parisa Panahi,
Volume 2, Issue 2 (3-2016)
Abstract

Although Quercus brantii Lindl. has shown suitable genetic variation in Iran, which is required for a sustainable forest ecosystem, but during the last decade, it came across some difficulties which are considered as oak decline. This research investigated seedling characteristics of four plant populations of the Quercus brantii species to assess genetic potentials of the populations to base a cornerstone for complimentary studies. Seeds were collected on ten single trees for each of plant population located in Kurdistan, Lorestan, Ilam, and Fars provinces in Iran. Seeds were sown in pots at greenhouse conditions to produce at least 30 single progeny seedlings from each population with three replications were studied. Vegetative characteristics such as plant height, leaf length, leaf width, and plant vigor were studied on the single plants. Data were analyzed based on a double nested statistical model, and then the data were analyzed on each population separately. Results indicated significant differences between the studied populations based on seedling height and plant vigor. Plant within population, showing possible differences between the single trees within the populations, was also significant for seedling height, leaf length and leaf width. In population based analysis, the populations showed different behaviors, so as there was not significant effects between single plants in Kurdistan population for plant height and leaf traits; whereas, in Lorestan and Ilam populations significant effects for the mentioned traits were observed. Although the populations showed different characteristics at seedling stage, but it is sought that there are still enough genetic variability and the high heritability that might be used in future breeding projects.


Dr Yousef Askari, Dr Yaghoub Iranmanesh, Dr Mehdi Pourhashemi,
Volume 5, Issue 1 (9-2025)
Abstract

Extended Abstract
Background and Objectives: Long-term monitoring of forest soil variables is essential for assessing ecosystem dynamics, forest health, and the impacts of environmental and anthropogenic factors on soil. Key soil parameters including microbial respiration, soil moisture, organic carbon stocks, available phosphorus, and nitrogen are of strategic importance in forest ecosystems, particularly under current climate change and global warming conditions. This study pursues to measure the physical and chemical properties of the soil in the studied forest stands (in the selected fixed and permanent sample plots), and also to enable long-term monitoring of the trend of changes in the soil of these forest sites.
Materials and Methods: This study aimed to monitor soil changes and analyze correlations between soil factors in two sample plots (Parikdan= south slope and Sarabtaveh= north slope) in Boyer-Ahmad County, Kohgiluyeh and Boyer-Ahmad Province. Two randomly selected one-hectare plots (100×100 m) were inventoried, with five systematic soil samples collected from 0-30 cm depth in each plot to measure carbon, nitrogen, phosphorus, moisture, microbial respiration, bulk density, and gravel percentage. Soil data collection was repeated annually over the three-years (2018-2020) project period.
Results: The results revealed that in the Sarabtaveh site, soil organic carbon (2.94%), total nitrogen (0.26%), available phosphorus (16.21%), soil moisture (15.25%), and microbial respiration (640.88 mg CO/kg soil/day) were recorded, while the Parikdan site showed values of 2.85%, 0.22%, 17.57%, 15.44%, and 707.74 mg CO/kg soil/day, respectively. The mean soil carbon stock was estimated at 81.91 ton/ha in Sarabtaveh and 86.37 ton/ha in Parikdan.
Conclusion: Monitoring soil parameter dynamics and their interrelationships in forest ecosystems is critically important, as soil serves as the fundamental substrate that governs nutrient cycling, carbon sequestration, and biodiversity maintenance. Three-year monitoring revealed significant differences in soil carbon stock dynamics (p<0.05). In both sites, soil organic carbon demonstrated the strongest correlation (r>0.85, p<0.01) with total carbon stock, indicating its pivotal role in carbon sequestration potential. The soil moisture content, microbial respiration, and available phosphorus were significantly higher in the Parikadan sample plot compared to the Sarabtaveh plot. This difference can be attributed to the greater species diversity, higher vegetation density, and larger canopy cover in the Parikadon plot. The current study's results revealed a significant positive correlation between soil organic carbon content and total nitrogen. The increase in nitrogen mediated through changes in litter quantity and quality as well as alterations in the microbial decomposer community directly influences soil organic carbon levels.


 


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