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Book (stand-alone)Good practices in sample-based area estimation 2024
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No results found.Reducing Emissions from Deforestation and Forest Degradation, and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+), as well as greenhouse gas reporting for the agriculture, forestry and other land use sector, requires land use changes to be characterized to estimate the associated greenhouse gas emissions or absorptions. It is becoming increasingly common to generate these estimates using sample-based area estimation (SBAE). This technique has been widely used in recent years in the generation of activity data – particularly for estimating areas of deforestation – for REDD+ measuring, reporting and verification. However, implementing countries and agencies have repeatedly highlighted the lack of guidance on how to address certain frequently encountered issues with this approach. This paper seeks to enable donors, academia, and countries that currently use or want to use SBAE for generating activity data for REDD+ or for other national or international reporting purposes, to delve into current good practice and existing literature, as well as gain a better understanding of the most pressing research needs in the area. The paper moreover will give non-experts an overview of area estimation, as well as its applications and limitations.Published by FAO with the collaborative support of several partners in the Global Forest Observations Initiative (GFOI), the World Bank and the Department for Energy Security and Net Zero of the United Kingdom of Great Britain and Northern Ireland, the paper is expected to contribute to improved forest data. -
ArticleForest monitoring: issues and good practices in sample-based area estimation
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.REDD+ and greenhouse gas reporting for the agriculture, forestry and other land use (AFOLU) sector requires land use changes to be characterized to estimate the associated greenhouse gas emissions or absorptions. It is becoming increasingly common for countries to track these changes using visually interpreted, sample-based approaches. Known as sample-based area estimation, the technique has been widely used in recent years in the generation of activity data for REDD+ Monitoring Reporting and Verification (MRV). However, implementing countries and agencies have repeatedly highlighted the lack of guidance on certain frequently encountered issues with this approach. This paper responds to this need for guidance by trying to address the most urgent technical issues faced by countries relating to sample based area estimation. Among others, it tackles issues such as how to best monitor beyond deforestation or for multiple purposes, how to account for variability between interpreters looking at the same satellite image, what type of sample unit to use and how many measurements are needed per sample unit. Existing good practices are consolidated, and new good practices are proposed as solutions where appropriate. The paper also indicates areas of future research, which should be pursued to answer the remaining questions surrounding area estimation. This paper will enable donors, academia, and countries that currently use or that want to use sample based area estimation for generating activity data for REDD+ or for other purposes. This paper is conceived to gain an overview of the most pressing research needs in the area and to delve into current good practice and existing literature. It will give non-experts an overview of area estimation, its applications and limitations. Keywords: area estimation, REDD+, statistics, remote sensing, forest monitoring ID: 3481211 -
DocumentEvaluation of carbon stocks of domestic wood products to improve carbon sinks in the forest sector
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Harvested Wood Products (HWP) is recognized as a carbon pool in the forest sector, along with biomass, dead wood, litter and soil. There was a debate about which country should include carbon stocks in imported or exported HWP. At the 17th Conference of the Parties in Durban (COP17) in 2011, domestic harvested wood products were accepted as accounted carbon pools and thus have to be reported by all Parties included in Annex I. Although the HWP carbon calculation method related to this has been suggested since the IPCC 2006 guidelines, it could not be calculated due to the lack of HWP statistics data in Korea.
In this study, to estimate the carbon stock and the annual stock changes for each of the HWP categories. Input data on the production of wood products used in the model to estimate carbon emissions and removals from HWP in Korea were acquired from database of the 'Wood utilization survey report' and 'Statistical yearbook of Forestry' in Korea Forest Service. In particular, statistic data on production of sawnwood, wood-based panels and paper and paperboard were obtained for the period 1989–2019. It used the first order decay function with default half-lives of 35, 25 and two years, respectively. For the conversion of wood volume or weight into carbon the default conversion factors and half-lives provided by IPCC guideline. As a result of the calculation, it was estimated that about 0.7 million tCO2 was stored according to the use of domestic wood products in 2019. It is expected that it will be possible to quantify the carbon storage effect of HWP and to activate the use of wood products. Indeed, it could change if life expectancy of HWPs improves into the future. Furthermore, additional mitigation potential may be achieved when substituting emissions-intensive materials. Keywords: Sustainable forest management, Climate change, Value chain ID: 3619351
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