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Developing simultaneously modeling systems for improving the reliability of tree aboveground biomass- carbon and its components estimates for Machilus odoratissimus nees in the central highlands, Viet Nam

XV World Forestry Congress, 2-6 May 2022











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    Journal article
    Tree-biomass-carbon estimation in the coastal afforestation sites of Chittagong, Bangladesh
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Global climate is changing relentlessly due to anthropogenic greenhouse gas emissions into the atmosphere. Its impacts are globally visible now. Bangladesh is the worst-affected country in the world due to this climate change. Coastal afforestation, among several forestry options, is critical to climate change mitigation and adaptation. This study estimated the tree biomass growth and its carbon in the Kattoli and Parki beach under the Chittagong coastal forest division. The study estimated that the total biomass density of Acacia auriculiformis, Acacia nilotica, Avicennia officinalis, Casuarina equisetifolia, Samanea saman, Sonneratia apetala and Terminalia arjuna were 131.57±6.77, 116.96±6.41, 350.64±7.99, 296.47±9.46, 119.27±7.45, 154.86±4.78 and 117.11±9.68 tha-1, respectively, with the mean annual increment of 65.79±3.38, 58.48±3.20, 15.25±0.35, 33.15±1.60, 59.63±3.73, 6.45±0.11 and 58.55±4.84 tha-1 yr-1, respectively. Furthermore, the total biomass-carbon of each species was also estimated, which were 65.79±3.38, 58.48±3.2, 175.32±3.10, 148.23±4.73, 59.63±3.73, 77.43±2.39 and 58.55±4.84 tCha-1 for the respective species, respectively, with the mean annual increment of 32.89±1.69, 29.24±1.60, 7.62±0.17, 16.57±0.80, 29.82±1.86, 3.23±0.10, 29.28±2.42 tCha-1 yr-1, respectively. All the findings of the study indicate that afforestation with both mangrove and non-mangrove species along with the coastal belts in Chittagong has the potential to mitigate climate change. The results can be useful for climate change mitigation practitioners, researchers, and policymakers on a native and broad scale. Keywords: Tree species; Coastal plantation; Carbon sequestration; Aboveground biomass; Belowground biomass ID: 3474035
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    Assessment of enrichment planting of teak (Tectona grandis L.f.) in degraded dry deciduous dipterocarp forest in the Central Highlands, Viet Nam
    XV World Forestry Congress, 2-6 May 2022
    2022
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    After years of unsustainable logging, dry deciduous dipterocarp forest (DDDF) has become poor in timber stocks and has been converted to industrial crops such as rubber. The objectives of this study were to assess teak (Tectona grandis L.f.) tree establishment under degraded DDDF conditions and to determine factors that influence the suitability of teak as a forest enrichment tree species. A set of 64 experimental plots of 4900 m2 each was set up and observed for 4–5 years for testing enrichment planting with teak under various combinations of two groups of factors: ecological conditions and forest status. Weighted, non-linear, multivariate regression models were used to detect key factors that influenced the suitability of teak. The results showed that at the age of 4 years the average dominant tree height (defined as 20% of the tallest trees in the experimental plot) reached 11.2, 7.8, 5.3 and 3.8 m for very good, good, average, and poor suitability levels, respectively. Survival rates of planted teak from average to very good suitability levels were over 90%. Six key factors that affected the suitability of teak were waterlogging during the rainy season, altitude, stand volume of the degraded DDDF, soil type, percentage of sand and concentration of P2O5 in the soil. Under the extreme ecological and environmental conditions of the DDDF, enrichment planting with teak gave promising results. Keywords: degraded dipterocarp status, dipterocarp enrichment, teak suitability assessment. ID: 3472951
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    Journal article
    Current situation and solutions for community forest management in the Central Highlands of Viet Nam
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Community forest management has been officially recognized more clearly in Viet Nam's new Forest Law of 2017, so to promote community forest management, it is necessary to assess the past process and put it into new context to provide appropriate technical and policy recommendations. The fields of community forest management assessment were in Tul and Hang Nam villages, where M'Nong indigenous ethnic minorities live, in the Central Highlands, Viet Nam. Natural forests were allocated to these communities since 2002. Accordingly, Tul community had the support of a rural development project in the period of 2005-2009 to improve its capacity for management of community forests, while the Hang Nam community did not have any significant support from outside. Participatory research methods were applied to evaluate the results and effectiveness of community forest management. The results showed that: 1) The community forest model that was granted forest use rights without any support and advice to implement community forest management (In the case of Hang Nam community), achieved the rates according to the following: organizing 13%, technical 23%, economic 33%, social: 34% and environmental: 71% and on average 35% of all objectives were met; 2) The community forest model that was granted the forest use rights and received the supports for capacity building through a 4-year project (In the case of Tul community), achieved the rates according to the following: organizing 33%; technical 36%, economic 20%, social: 77% and environmental: 77% and on average 50% of all objectives were met. In order to consolidate and develop community forest management, it is necessary to synchronously implement the following solutions: 1) Strengthen the organization and management capacity for the communities; 2) Improve community livelihoods from forest management; 3) There is a need of more appropriate policies for community forest management; 4) Apply measures to rehabilitate degraded forests. Keywords: community forestry, evaluation of forest management, solutions for community forestry ID: 3472958

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