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ArticleDeveloping 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
2022Also available in:
No results found.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 -
ProjectImproving Rural Livelihoods and the Environment Through the Integral Utilization of Residues of Treated Waste Water and Organic Solid Waste for the Production of Renewable Energy and Compost in Mafraq Governorate of Jordan - TCP/JOR/3602 2020
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No results found.As the Syrian crisis continues to escalate, the influx of refugees in neighbouring countries places an growing burden on affected areas. The United Nations High Commissioner for Refugees (UNHCR) determined that Jordan hosts around 620 000 registered refugees, while the Government has estimated that there is a total of 1.4 million refugees in the country. In Mafraq, the refugee population lives in distress, while the broader population is also affected by the refugee influx. In December 2019, there were 75 993 individuals and 17 655 families registered at the Zaatari refugee camp. Stakeholders in the Zaatari community continue to pursue the creation of job opportunities for residents, with a record 13 220 active work permits being reached in October 2019. Although job opportunities are traditionally dominated by the agriculture sector, the waste sector offers potential for the development of additional “green” jobs. In Jordan, the level of municipal solid waste has grown rapidly over the past two decades, while the influx of refugees has exponentially increased its rate of production. Much of the solid waste produced finds its way to landfills, most of which are classified as unsanitary dump sites. On top of the strain being placed on the waste management system, the influx of refugees has also driven an increased demand for energy. This TCP project was therefore designed to make use of waste in the Zaatari municipality in the creation of sustainable job opportunities that promote compost production for agricultural purposes and the generation of energy. -
DocumentBioenergy and Food Security Rapid Appraisal (BEFS RA). User manual. Biomass Supply and Mobilization 2014
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