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Ali Sarvazad, Asghar Fallah, Ali Asghar Vadedi,
Volume 11, Issue 22 (11-2023)
Abstract

Extended Abstract

Background: Dead trees serve as significant carbon pools within terrestrial ecosystems and are essential components of forest areas. The measurement of carbon storage in forest soil is a critical criterion for assessing the sustainability of an ecosystem. Understanding the dynamics of carbon storage is vital for forest management and conservation efforts. The aim of this study was to investigate the effect of dead trees on changes in soil carbon storage across an altitudinal gradient in the Qalajeh forest located in Kermanshah Province. This research seeks to highlight the ecological importance of dead trees and their role in carbon sequestration, thereby contributing to broader discussions about forest health and sustainability.
Methods: To achieve the objectives of this study, an area of the Qalajeh forest with an altitude range of 1400 to 2100 meters above sea level was selected for analysis. The selected area was divided into seven altitude classes, each differing by 100 meters. This stratification allowed for a comprehensive examination of how altitude influences soil carbon storage in relation to dead trees. At each elevation class, one-hectare sample plots were established, with three replications conducted in order to ensure the reliability of the data collected. These plots were specifically designed to estimate the amount of soil carbon storage in areas that contained both standing and fallen dead trees. In each sample plot, soil samples were collected from different locations: beneath the standing dead trees, beneath fallen dead trees, at the base of healthy living trees, and in open areas devoid of tree cover. Soil samples were taken from a depth of 0-20 cm to capture the most relevant data regarding carbon storage. This sampling depth was chosen because it is where most root activity and organic matter accumulation occur, making it a critical zone for assessing soil carbon levels.
Results: The results of the study indicated that the amount of soil carbon storage in areas with dead trees, both standing and fallen, was significantly higher than in soils under healthy tree foundations and in open areas. This finding underscores the ecological value of dead trees in enhancing soil carbon content. Furthermore, the data revealed a general trend of increasing soil carbon storage with rising altitude. Specifically, the lowest recorded amount of carbon storage was 124 tons per hectare, found in the altitude class of 1400-1500 meters. In contrast, the highest carbon storage, measured at 197 tons per hectare, was located in the altitude class of 2000-2100 meters. Additionally, the results of the correlation tests demonstrated a significant positive correlation between the amount of soil carbon storage beneath both standing and fallen dead trees and altitude. This correlation suggests that as altitude increases, the contribution of dead trees to soil carbon storage also rises, highlighting the importance of these trees in carbon sequestration processes across different elevations.
Conclusion: In conclusion, the findings of this study suggest that dead trees play a crucial role in soil carbon storage, in addition to their well-documented ecological functions. The data clearly indicate that areas with dead trees contribute significantly more to soil carbon reservoirs compared to areas without them. Therefore, it is imperative to recognize the importance of dead trees in relation to carbon storage and their role in the overall health of forest ecosystems. Given these findings, the harvesting and removal of dead trees in forested areas should be reconsidered. Effective forest management practices must prioritize the preservation of dead trees to enhance carbon sequestration efforts and maintain ecosystem sustainability. Furthermore, additional research is needed to explore the long-term impacts of dead trees on soil carbon dynamics and to develop strategies that incorporate the ecological benefits of these trees into forest management policies. By doing so, we can ensure that forest ecosystems continue to thrive and contribute to global carbon cycling and climate change mitigation efforts.



Mohsen Javanmiri Pour,
Volume 12, Issue 1 (5-2024)
Abstract

Extended Abstract
Background: As a forest evolves, it undergoes various processes that lead to the creation of complex structures and diversity. The heterogeneity of the structural conditions and species diversity increase as living and fallen trees accumulate in population structures. These processes are mainly related to the growth and death of trees, which occur in stages starting from youth, progressing through maturity, and culminating in structural complexity. By examining the complexity of a forest, forest experts can manage and change the complexity and diversity of the forest. This study compares the index of structural complexity in managed mixed stands in Hyrcanian forests to determine the effect of management interventions on this index.
Methods: For this study, five one-hectare rectangular sample plots were selected in parcels 305, 306, 309, 310, and 311 located in the Grozbon section of Kheyrud forest situated 6 km east of Nowshahr in the Hyrcanian forest belt of Iran. The Gorzbon section has an area of 1001 hectares. The diameters of all trees above the counting limit were measured using complete inventory in one-hectare sample plots. In addition, we calculated the heights of the trees, the abundance of old trees, the abundance and volume of dry trees, the canopy gaps, the Mingling index, and the Gini coefficient. The structure complexity index was determined using a set of variables related to the most important structural features of forest stands. Single selection indices and the multivariate complexity index were calculated in four steps. Finally, the complexity index of the structure was determined between zero and 100 by adding up each variable. The numerical value of the index is close to 100 and zero in the forest stands with the highest and the least complexities in the structure, respectively.
Results: The study examined 1836 trees in five sample plots across five parcels. The highest density of trees was 564 trees per hectare in plot 306. Mamrez was the dominant species in stands 306, 305, and 310  while beech was the dominant species in stands 309 and 311. The maximum average diameter, head volume, and height were 32.5 cm, 458 m3, and 41 m, respectively, for the sample plot 309. The distribution curve of tree abundance across different diameter classes showed a decreasing exponential distribution in the reverse J shape, with differences observed between the studied stands. The largest number of trees in small-diameter classes (15 and 20 cm) were found in cluster 306, with 283 and 137 trees, respectively. The lowest number of trees in the primary classes were 33 and 31 trunks in stand 309. Comparing the volume of trees in diameter classes showed that the volume distribution in all diameter classes was significant in parcel 309, where the volumes in thick and very thick classes were 296 and 83 m3 per hectare, respectively. Parcels 306 and 307 had no quantity of trees in the very thick class. The sample piece 309 had the highest value of complexity index, with a numerical value of 85 while the lowest value of this index (66) was found in the sample piece 305. The ANOVA test with a probability of 5% (P = 0.05) showed significant differences in the abundance and amount of tree volume, the abundance of old trees, the ratio of clear area to forest area, the abundance and volume of dry trees, tree height, and the Mingling index when comparing the studied characteristics to determine the structural complexity index among different populations.
Conclusion: The habitats that have been studied have an average complexity index of 0.75. The highest and the lowest indexes belong to parcels 309 (0.85) and 306 (0.66), respectively. The other habitats have an intermediate level of complexity, which indicates the presence of different evolutionary stages in the forest, ranging from young to old. To illustrate the contribution of different structural features to the complexity and diversity of a forest, imagine a hypothetical forest in both complex and simple states. The complex forest has a wider range of tree sizes and potentially ages, including large trees, while the simple forest has a large number of smaller trees and no large trees, potentially lacking old-age trees. The complex forest includes at least two tree species while the simple forest consists of only one species. The complex forest also has larger erect and decumbent angiosperms on the ground while the simple forest lacks large decumbent angiosperms. Finally, the distribution of trees and canopies, or conversely clearings, is spatially variable in the complex forest, leading to structural heterogeneity in the area. To increase diversity and complexity, measures such as thinning or leaving trees with habitat importance such as thick and old trees, and standing and fallen dry trees in selective cuts can be taken to preserve or restore structural complexity, species diversity, and heterogeneity.

 


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