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ArticleTree size diversity and carbon stock of Tectona grandis (Linn f.) standsin hilltop and valley-bottom of Omo forest reserve, Nigeria
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Competition for growth resources contributes to size hierarchy in tree populations. Competition hierarchy of trees is dependent on rate of growth and stages of stand development. However, competition hierarchy in tree population may not cause size symmetry in some stress habitats. Size structure and development of even- aged stand can be influenced by abiotic factors. The study investigated tree size structure and carbon stock of Tectona grandis stands in Valley-Bottom and Hilltop of Omo Forest Reserve. Ten-years-old Teak plantation was delineated into Hilltop and Valley-Bottom stands base on topography. Five (30m x 30m) sample plots were systematically demarcated in each of Hilltop and Valley-Bottom stands. Tree stems were enumerated and densities of both stands were estimated. Total height and diameter-at-breast height were measured using Spiegel Relaskop and Girth tape, respectively, and stem carbon was estimated. Inequality and diversity of stem size of both stands were evaluated. Data collected were analyzed using descriptive, correlation, regression analysis and t-test at α0.05. Stem density of Hilltop (1431.0 stems/ha) was higher than Valley-Bottom stands (1248.0 stems/ha). Mean stem diameter of Valley-Bottom were not significantly different from Hilltop stands. Coefficient of determination (R2 ) of Height-Diameter allometry for Valley-Bottom (0.59) was higher than Hilltop stands (0.45). Diameter distribution of Valley-Bottom and Hilltop expressed bimodality and unimodality, respectively. Inequality was higher in Hilltop than Valley-Bottom for diameter. The stems of Hilltop and Valley-Bottom stands contributed 49.68% and 50.32% of total stem carbon, respectively. Elevation affected the stem size hierarchy and carbon stock distribution of Valley-Bottom and Hilltop habitats. Stems of Valley-Bottom stand could be a good option for carbon sequestration in Omo Forest Reserve. Keywords: Competition hierarchy; Size symmetry; Elevation gradient; Tree height; Tree diameter ID: 3623266 -
DocumentGrowth estimation of standing trees using artificial intelligence
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Growth assessment in an ecosystem is an essential element in management and decision making. Such an exercise helps in development and biodiversity management in a natural ecosystem. The assessment process, however, demands time and manpower. Developing an automated tool not only helps in saving the above-mentioned resources but also in expanding the area of coverage for assessment. We are developing an artificial intelligence based tool using image data for growth assessment. The method will be demonstrated in plantations of eucalyptus and teak. The plantations are established in straight lines using a single species of trees. It can be assumed that the trunk texture of these trees is similar while the shape can be different. Estimating the standing timber volume is important to assess the growth, harvestable timber volume, and plan on the transportation logistics of harvested timber. Every tree must be manually measured in the existing method of volume calculation demanding time and manpower. These costs can be cut down while maintaining the accuracy using images processed with statistical learning methods such as Convolutional Neural Network. The plantations will be partitioned into grids and digital images will be taken from the edges of this grid. These RGB digital images will be processed to determine the growth parameters such as girth at breast height, height, and tapering of the trees. Transfer Learning is to be used in modifying the existing neural network in identifying 3D shapes of individual objects from 2D images, multi-spatial depth estimation, and volume determination. A cost-effective automated tool to estimate the timber volume of standing trees in real-time will be developed. While estimating the volume by this method, a significant amount of time and manpower can be saved without compromising the accuracy compared to the conventional method. Keywords: Monitoring and data collection, Adaptive and integrated management, Innovation, Policies, Research ID: 3621691 -
ArticleAdaptation of eucalyptus urophylla to volcanic land of Batur mountain forest, Indonesia
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Batur Forest is a volcanic area that was ex-volcanic eruption. Efforts to rehabilitate forests with a critical land was by planting Eucalyptus urophylla. The aim of the study was to examine the adaptation of Eucalyptus urophylla species in critical areas of former volcanic eruptions that was dominated by hard rocks. The researches were done for a year (2019-2020). The method used was species test with permanent block plot design from 4 age levels, 1 year, 5 years, 10 years and 15 years. The study results showed growth of 1.02 cm in diameter and 1.10 m in height (1 year), 6.50 cm in diameter and 11.00 m in height (5 years), 13.25 cm in diameter and 18.40 m in height (10 years) and a diameter of 20.48 cm and a height of 23.00 m (15 years). Eucalyptus urophylla experienced the best tree diameter growth after 10 years old and on the contrary experienced a decrease in height. The Eucalyptus urophylla level of adaptation and suitability of on volcanic soils with low fertility and rocky soil is a recommendation to increase the quantity of this species of planting. So that the forest succession from rocky thickets to tree vegetation is faster than natural processes. Eucalyptus urophylla species is one of the flora that make up the savanna forest ecosystem and volcanic critical land in eastern Indonesia. Keywords : Adaptation, Eucalyptus urophylla, Volcanic land, Batur mountain forest ID: 3623267
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