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DocumentOther documentHow Brazilian Tree Industry can help complying with climate change agenda linked to Sustainable Development Goals, Global Forest Goals and Brazilian NDC under Paris Agreement
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The Brazilian Tree Industry (Ibá) is the association responsible for institutionally representing the planted tree production chain with its main stakeholders. Ibá represents 50 companies and 9 state entities for products originating from planted trees, most notably wood panels, laminate flooring, pulp, paper, charcoal steel industry and biomass, as well as independent producers and financial investors which together contribute with 7% of Brazil’s industrial Gross Domestic Product. The sector holds 9 million hectares of planted trees and 5.9 million hectares for conservation.
The Brazilian NDC aiming at reducing GHG emissions in 37%by 2025 and 43% by 2030. Such an ambitious goal will demand, according to the Government, the restoration of 12 million hectares of forest, achieve zero illegal deforestation in Amazonia, attain 45% of renewable energy and 18% of bioenergy and ensure compliance with the Forest Code.
This industry has a substantial contribution to several Global Forest Goals of UNFF and SDGs from Agenda 2030, in terms of adaptation and mitigation of climate change. Regardless the goal and governance related, both in national or international level, Brazilian planted-tree sector plays an important role and this paper aims to show how.
As a brief the sector is now monitoring dozens and reporting 17 KPIs on water management; 89% of the energy is renewable and 67% is produced in-house; 67% of paper is recycled, 4.48 billion tons of CO2e is stored in almost 15 million hectares of forests for commercial and conservation purposes. At steel industry, each ton of pig iron produced with charcoal coming from planted forest as a substitution from coal, avoids the issue of 1.8 ton CO2eq. At civil construction, the use of wood stocks 0.5 on of CO2e per square meter of construction, compared to the use of conventional materials. The carbon removed from atmosphere is fixed in the biomass that will become products and can store from 45% up to 85% of the mass products. Keywords: Climate change, Adaptive and integrated management, Economic Development ID: 3487149 -
ArticleJournal articleMonitoring the sustainability effects of bioeconomy beyond black and white perspectives: The forest sector in Uruguay
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Bioeconomy has gained attention in recent years as an alternative to achieve the 2030 Agenda for sustainable development, its Sustainable Development Goals (SDGs), and the Paris agreement. Although bioeconomy is often associated with a range of benefits it is not necessarily more sustainable and does not always create a win-win in all sustainability dimensions. Though trade-offs are inevitable they must be identified in order to be minimized or ideally avoided. However, most measures are restricted to economic sustainability while social and environmental impacts are addressed to a limited extent. In this study we present a holistic approach to monitor the sustainability of the bioeconomy in the forest sector at the value chain and national level. As proof of applicability, we use the example of Uruguay, a relatively small country in both surface (176,000 km2) and population (3.5 million), but with a strong connection to the global economy through forestry trade. The forest sector, particularly Eucalyptus cellulose, was the second most exported product in 2020 (around 14% of the total exports) and plays a vital role in the sustainable development of the country. But which sustainability effects are connected to the production of wood commodities in Uruguay and in which steps of the value chain there are opportunities to improve sustainability? In order to answer these questions, we used the most recent available forest statistics in a material flow and life cycle approach and assessed context-specific economic, environmental and social sustainability effects. The set of indicators is linked to SDGs in order to show the strong potential in coupling bioeconomy monitoring in terms of SDG reporting. Based on our results conclusions are drawn on how a systematic analysis of a sector can be conducted holistically going beyond economy and how to enhance statistics in order to make monitoring and evaluation of the bioeconomy a long-term strategy. Keywords: bioeconomy, environment, society, sustainable development, monitoring and evaluation ID: 3623706 -
ArticleJournal articleSatellite remote sensing-based forest resources assessment methods for effective management and sustainable development of forests by generation of information on forests and trees outside forest cover
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Satellite based remote sensing methods have proved to be an effective and scientifically proven method for managing and conserving forest data and resources at periodic time intervals. The forest resources monitoring methods provide useful data to forest managers for sustainable forest management at different scale and forest management units. Over the years the scientific management of forest have been a subject globally discussed incorporating the role of environmentalist, conservationist and communities associated with the forest. It has been an unhidden fact that forests have suffered tremendous pressure in developing countries on the pretext of development. It is through effective monitoring and communication of forest information and knowledge that the concerned provincial governments are forced to take remedial measures for protecting the forests. Apart from the government owned forests, termed as Recorded Forest Areas(RFA) in India, Trees outside forests(TOF) are well acknowledged as an important component of forest resources. The ToF, which basically exist as block, linear and scattered plantations on earth are captured using LISS-III sensor of Indian Remote Sensing Satellite. For the national level scale mapping, all patches of area 1hectare and above are considered for estimation. For mapping of ToF patches of size between 0.1-1hectare, high resolution data from LISSIV sensor(5.8metres resolution) is analyzed. It has been now a well-established fact that trees outside RFAs, although in small proportion, contribute significantly to forest conservation and meeting the demand of people towards minor forest produce, firewood etc. The exercise on forest change detection using a hybrid method, is effective in identification of significant forest change. The assessment of forests and ToFs using satellite data and advance image processing tools may be helpful in effective management and long term sustainability of forests in developing countries. Keywords: [Recorded Forest Area, Trees Outside Forest, National Forest Inventory, FSI, Neural Network, Machine Learning] ID: 3622277
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