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A social and gender analysis of FLEGT: Analyzing opportunities and risks for wood processing and furniture small and medium enterprises (SMEs) in Lao PDR

XV World Forestry Congress, 2-6 May 2022










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    Supporting sustainability and growth in the Mekong Region’s micro, small and medium timber processing enterprises 2022
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    The European Forest Institute (EFI), with funding from the Swedish International Development Cooperation Agency (Sida), has been testing approaches to enable wood-based micro, small and medium enterprises (MSMEs) in the Mekong region to operate legally and sustainably since 2015. These MSMEs play a key role in local economies and generate significant livelihood and employment opportunities in formal and informal sectors. MSMEs can also be part of the solution to reducing deforestation and forest degradation. This can be achieved if they are encouraged to adopt legal and sustainable sourcing and processing practices through specialised trainings, and if regulatory frameworks are paying special attention to MSMEs. To this end, EFI tested solutions to challenges MSMEs are facing in six pilot interventions in Laos, Myanmar, Thailand and Vietnam. Through the pilots, EFI worked closely with more than 100 MSMEs in the 4 Mekong countries. The poster introduces and shares lessons learnt from the pilots. Keywords: Economic Development, Gender, Value chain, Decent employment, Illegal trade ID: 3488081
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    Community capacity for social enterprise development: Empirical evidence from community forest enterprises (CFEs) in Cameroon
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Community forest enterprises (CFEs) are emerging as sustainable options for local development, these enterprises trade to meet their social and environmental goals, thus characterizing them as social enterprises. However, knowledge of the capacity of these communities to develop and effectively manage CFEs is not well known. With inspiration from the organizational capacity theory, the asset-based community development (ABCD) theory, a framework for community capacity is developed. Based on data from a sample of 31 communities, principal component analysis, descriptive statistics, and the Pearson correlation test was used to evaluate community capacity and the relationship between dimensions of community capacity. The findings reveal that natural resource availability received the highest score (4.08), thus underlying the fact that these communities are endowed with natural resources that can propel their growth if managed sustainably. However, other dimensions of community capacity are poor, community capacity for partnerships and social networking was the lowest (1.33), followed by infrastructure (1.38), skills and knowledge of members (1.58) was equally very low with significant poor knowledge in enterprise development, marketing, and financial management. The overall sense of community was poor averaging 2.84 on a scale of 5, community capacity for financial management was equally not very good (3.94). Although participation was not very poor in most cases, women, youths, and minority groups need to be empowered further to participate actively in community activities. Correlation analysis reveals that some of these domains are highly correlated, thus when one is triggered, there is a positive spill-over effect on other dimensions. Financial management capacity, participation, leadership, and resource mobilization emerge as key dimensions that when triggered can have significant positive effects on other domains of community capacity. Keywords: Sustainable forest management, Governance, Education, Decent employment, Economic Development ID: 3486804
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    Isolation of DNA from preserved woods for identification of wood species through genetic analysis regardless of the age of wood production
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Species identification of wood provides important information for archaeology, restoration of cultural assets, preventing illegal logging, and more. Wood species are usually identified based on their anatomical features with the use of a microscope. However, this method may not be able to distinguish between anatomically similar species or subspecies. To overcome this problem, wood species need to be identified at the molecular level using DNA sequencing. However, unlike living plant cells, wood is difficult to pulverize using a mortar, and DNA extraction from dried wood is challenging. To solve these problems, we propose a pretreatment method in which wood is pulverized using 60-grit sandpaper and hydrated with water for 2 days. Using this method, we were able to stably amplify the rpoB gene from the extracted DNA of Pinus rigida. In addition, sequence analysis of the rpoB gene revealed six single nucleotide polymorphisms (SNPs), which classified the rpoB sequences in the genus Pinus into five groups. Our data indicate that although these SNPs were not suitable for species identification, they can potentially be used to determine the origin of different wood subspecies or individual samples of wood. Keywords: Monitoring and data collection, Research ID: 3616978

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