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Near-infrared analysis and model optimization about main Chemical Components of pulpwood in Hainan Province

XV World Forestry Congress, 2-6 May 2022









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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
    2022
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    Machilus odoratissimus Nees is a multi-purpose species with, high economic value and environmental protection, so this tree species is commonly used in agroforestry models. In plantation management, it demands modeling systems that predict accurately aboveground biomass- carbon and its components. At the same time, the developed models support computing carbon accumulation of forest trees in agroforestry models for the program of reducing emissions from deforestation and forest degradation (REDD). Twenty-two 300 m2 plots were measured within the full range of 1 to 7 ages in the Central Highlands of VietNam. A total of 22 quadratic mean diameter trees were destructively sampled to obtain a dataset of the dry iomass/carbon of the stem (Bst/Cst), bark (Bba/Cba), branches (Bbr/Cbr), leaves (Ble/Cle), and total tree aboveground biomass/carbon (AGB/AGC). We examined the performance of weighted nonlinear models fit by maximum likelihood and weighted nonlinear seemingly unrelated regression (SUR) fit by generalized least squares for predicting tree aboveground biomass- carbon and its components. The simultaneous estimation of AGB/AGC and its components produced a higher reliability than that of the models of tree components and the total developed separately. The selected forms of modeling systems were AGB = Bst + Bba + Bbr + Ble = a1×(D2H)b1 + a2×(D2H)b2 + a3×Db3 + a4×(D2H)b4 and AGC = Cst + Cba+ Cbr + Cle = a1×(D2H)b1 ++2×(D2H)b2 + a3×Db3 + a4×(D2H)b4 (where D is the diameter at breast height and H is the height of the tree). Keywords: Agroforestry, Machilus odoratissimus, seemingly unrelated regression (SUR), tree biomass- carbon ID: 3472953
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    Projection modeling-based geospatial analysis of land use-land cover change at Hasdeo River Watershed, Chhattisgarh, India
    XV World Forestry Congress, 2-6 May 2022
    2022
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    The land-use change in the Hasdeo River watershed has been observed with all its subwatersheds. The changing patterns may portend localized impairment to forest and agricultural watershed. In this study, Land-use land-cover (LULC) change was modeled using terrset modeling software. The Hasdeo river watershed (geographical extent of 10,396.373 km2) is a part of the Mahanadi River basin in Chhattisgarh, India. Hasdeo River originates from Sonhat (Koriya district, Chhattisgarh, India) and is submerged into the river Mahanadi. It flows in the stretch of 330 km from north to south direction. This river has eight subwatersheds with rich forest diversity and perennial water resources. IRS-1D & P6 LISS3 images from the years 2000 and 2013 were used to investigate the LULC pattern. This has been used for the prediction of LULC change patterns for the years 2035 and 2050 based on the Markov model. The result of the project LULC map for the year 2000-2035 and 2000-2050 shows that the dense forest area will decrease by 12.30% and 15.68% respectively. The settlement area will significantly increase by 20.13% (2035) and 34.90% (2050) and will be the dominant land-use type in the watershed. It shows that population pressure will directly affect forest vegetation and agriculture activities. This study will be helpful for the effective sustainability approach for maintaining the proper LULC pattern of LULC pattern of land-use change in the watershed. This changing pattern will also influence the farming pattern in the catchment area of the Hasdeo River watershed. Keywords: Adaptive and integrated management, Deforestation and forest degradation, Landscape management, Monitoring and data collection, Sustainable forest management ID: 3487496
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    Precipitation of lignins from organosolv and kraft black liquor of bamboo: Influence of functionality using Fourier Transform Infrared Spectroscopy (FTIR)
    XV World Forestry Congress, 2-6 May 2022
    2022
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    In Nigeria, bamboo is underutilized, and Lignin can be extracted from these bamboos for high value-added use. In this research, the influence of Functionality on the properties of black liquor and isolated Lignin from kraft and organosolv processes using Bambusa vulgaris as biomass source were evaluated. FTIR (Fourier Transform Infrared Spectroscopy) was used to determine the Functionality of Lignin at different volume ratios. The characteristic bands located between 3500-3000 indicate the existence of alcohol and carboxylic groups in Lignin isolated from Ethanol, Peroxyformic, and Kraft black liquor, which resonates at almost the same wavelength. It implies that the Lignin isolated from Aceticformic black liquor does not provide any information about the secondary structure of this functional group. The Functionality of Organosolv and Kraft lignin showed that Alcohol and Carboxylic Acids, Alkanes and Alkyls, Carbonyls, Alkenes, Amide, and Alkyl halides are functional groups present with a similar structure for all the Lignin isolated from Organosolv and Kraft black liquor. These results confirmed that the underutilization of bamboo could be plunged into making value- added products such as natural polymer in transparent wood, fertilizers, drugs, resins, and adhesive formulation. Exploring these new research areas could provide potential benefits for consumers, the manufacturing industry, the environment, and the green pathway to growth and sustainability. Keywords: Lignin; Bamboo; FTIR; Organosolv Lignin; Kraft Lignin ID: 3486307

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