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ArticleJournal articleAllometric equation for estimating tree above ground biomass modified by ecological environmental factors in tropical dipterocarp forests
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Tropical Dipterocarp Forest (DF) plays an important role in mitigating climate change thanks to its carbon sequestration capacity. In order to estimate the CO2 absorption capacity of DF as a basis for the development of forest ecological services, a system of biomass equations is needed; while very few models for estimating biomass in DF have been published and have not yet reflected the impact of ecological environmental factors. The purpose of the study was to validate and select the best model for estimating tree above ground biomass (AGB, kg) in DF under the influence of ecological environmental factors, thereby improving the reliability. Twenty-eight 0.25 ha plots in the Central Highlands and one 1 ha plot in the Southeast ecoregion in Viet Nam were measured. A total of 329 trees were destructively sampled to obtain a dataset of AGB; Methods for developing equations were weighted nonlinear fixed/mixed models with/without random effects fit by Maximum Likelihood; Using K-fold cross validation with K = 10, we compared and selected the best model with and without ecological environmental factors. As a result, separate ecological environmental factors did not affect AGB, while the combination of the factors influences the AGB model through the form: AGB = AVERAGE × MODIFIER, AGB = a × Db ×WDd × exp (e2 × (P - 1502) + e3 × (BA - 12.62)) that was significantly more reliable than a model without these factors involved; where D (cm), WD (g / cm3), P (mm year-1) and BA (m2 ha-1) are the diameter at breast height, wood density, averaged annual rainfall and total basal area of forest stand, respectively. Keywords: above ground biomass, dipterocarp forest, ecological factor ID: 3473259 -
ArticleJournal articleTree-biomass-carbon estimation in the coastal afforestation sites of Chittagong, Bangladesh
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.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 -
ArticleJournal 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
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Book (stand-alone)Technical bookRussian Federation: Meat sector review
Country highlights prepared under the FAO/EBRD Cooperation
2014Also available in:
World food demand has seen massive changes, including a shift from staple foods to animal proteins and vegetable oils. In the short to medium term, this trend in global food demand will continue. There will be an increased demand for vegetable oils, meat, sugar, dairy products and livestock feed made from coarse grains and oilseed meals. There are numerous mid-term forecasts for the Russian Federation’s meat sector. Most of them agree on the following trends: (i) the consumption of poultry and p ork meat will increase; (ii) the consumption of beef will decrease or stabilize; and (iii) the Russian Federation will remain a net importer of meat on the world market. According to OECD and FAO projections, meat imports from the Russian Federation will decrease from 3 to 1.3 million tonnes, owing to an anticipated growth in domestic chicken meat and pork production. The country’s share in global meat imports is anticipated to decrease from 12 percent in 2006–2010, to 4 percent in 2021. While t he Russian Federation will continue to play an important role in the international meat market, it will fall from its position as the largest meat importing country in 2006–2010 to the fourth largest global meat importer by 2021, behind Japan, sub-Saharan African countries, and Saudi Arabia. -
Book (series)FlagshipThe State of Food Security and Nutrition in the World 2021
Transforming food systems for food security, improved nutrition and affordable healthy diets for all
2021In recent years, several major drivers have put the world off track to ending world hunger and malnutrition in all its forms by 2030. The challenges have grown with the COVID-19 pandemic and related containment measures. This report presents the first global assessment of food insecurity and malnutrition for 2020 and offers some indication of what hunger might look like by 2030 in a scenario further complicated by the enduring effects of the COVID-19 pandemic. It also includes new estimates of the cost and affordability of healthy diets, which provide an important link between the food security and nutrition indicators and the analysis of their trends. Altogether, the report highlights the need for a deeper reflection on how to better address the global food security and nutrition situation.To understand how hunger and malnutrition have reached these critical levels, this report draws on the analyses of the past four editions, which have produced a vast, evidence-based body of knowledge of the major drivers behind the recent changes in food security and nutrition. These drivers, which are increasing in frequency and intensity, include conflicts, climate variability and extremes, and economic slowdowns and downturns – all exacerbated by the underlying causes of poverty and very high and persistent levels of inequality. In addition, millions of people around the world suffer from food insecurity and different forms of malnutrition because they cannot afford the cost of healthy diets. From a synthesized understanding of this knowledge, updates and additional analyses are generated to create a holistic view of the combined effects of these drivers, both on each other and on food systems, and how they negatively affect food security and nutrition around the world.In turn, the evidence informs an in-depth look at how to move from silo solutions to integrated food systems solutions. In this regard, the report proposes transformative pathways that specifically address the challenges posed by the major drivers, also highlighting the types of policy and investment portfolios required to transform food systems for food security, improved nutrition, and affordable healthy diets for all. The report observes that, while the pandemic has caused major setbacks, there is much to be learned from the vulnerabilities and inequalities it has laid bare. If taken to heart, these new insights and wisdom can help get the world back on track towards the goal of ending hunger, food insecurity, and malnutrition in all its forms. -
BookletHigh-profileFAO Strategy on Climate Change 2022–2031 2022The FAO Strategy on Climate Change 2022–2031 was endorsed by FAO Council in June 2022. This new strategy replaces the previous strategy from 2017 to better FAO's climate action with the Strategic Framework 2022-2031, and other FAO strategies that have been developed since then. The Strategy was elaborated following an inclusive process of consultation with FAO Members, FAO staff from headquarters and decentralized offices, as well as external partners. It articulates FAO's vision for agrifood systems by 2050, around three main pillars of action: at global and regional level, at country level, and at local level. The Strategy also encourages key guiding principles for action, such as science and innovation, inclusiveness, partnerships, and access to finance.