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Brochure, flyer, fact-sheetHow Ecuador’s National Forest Monitoring System has enabled access to results-based payments 2024Since 2008, Ecuador has developed several initiatives to implement and strengthen the country’s National Forest Monitoring System (NFMS) to improve the mechanisms for collecting information related to its national forest heritage, recognizing nature as a subject of rights and declaring forests as fragile ecosystems that require special treatment. This case study explains how Ecuador’s National Forest Monitoring System has enabled access to results-based payments. It was developed by the Food and Agriculture Organization of the United Nations (FAO) through the AIM4Forests: Accelerating Innovative Monitoring for Forests programme, thanks to the financial support from the Department for Energy Security and Net Zero of the United Kingdom of Great Britain and Northern Ireland.
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DocumentForest Monitoring and Assessment for Climate Change Reporting: Partnerships, Capacity Building and Delivery 2007
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No results found.This working paper was prepared in light of the upcoming Conference of the Parties of the UNFCCC in December 2007 to inform about the status and ongoing efforts in the field of forest monitoring, assessment and reporting at national and international levels. Part I is a review of partnerships between FAO and countries for building capacity and supporting implementation of forest monitoring, assessment and reporting, to meet requirements at national and international levels. At national level, FA O works with countries to establish long-term and robust monitoring systems, based on systematic field sampling and data collection. At international level, FAO supports countries to report to the Global Forest Resources Assessments, which is the leading global reporting process on forests, their management and use. Part II presents basic requirements for national forest monitoring systems, seen from a broader policy context. It reviews the current status in countries with respect to two variabl es that are important for climate change reporting – forest area changes and forest carbon stock. It is concluded that in most developing countries the quality of current forest monitoring would not be satisfactory for an accounting system of carbon credits. However, it is also suggested that investment in national forest monitoring is attracting greater interest, as exemplified by the increasing number of countries requesting support from FAO. FAO continues to work in close collaboration with i ts member countries to improve forest monitoring, assessment and reporting, including helping them to meet requirements for forest carbon reporting. -
Book (stand-alone)NAFORMA: National Forest Resources Monitoring and Assessment of Tanzania Mainland
Sampling Design Options for 2nd Biophysical Inventory (NAFORMA II)
2022Also available in:
No results found.Three options for the sampling design of the field plot clusters of NAFORMA II biophysical survey are compared in this report. Option 1 consists of re-measuring all NAFORMA I field sample plots (3 205 clusters) and Option 2 of re-measuring only those that were established as permanent (848 clusters). The recommended Option 3 is a compromise between these two “extreme” options: Re-measure a subset (1 405 clusters) of NAFORMA I field sample plots including (almost) all permanent clusters and a carefully selected set of other NAFORMA I field plot clusters to obtain a uniform sample within each TFS zone. Design Option 3 has the following features: • Sampling intensity is uniform within each TFS zone. This makes it simple to use the data. For example, mean volumes can be estimated by averages over the plots. • The selected clusters are well-spread over the target population. • The anticipated precision of land-class area and mean wood volume relative to sample size is nearly as good as that of NAFORMA I. • All proposed clusters were measured in NAFORMA I, which enables precise estimation of change based on repeated measurements. The costs and precision were anticipated by utilizing NAFORMA I field data, information about subsequent improvements in the road network, and changes in land-use using satellite imaging derived land-class maps.
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