Options for monitoring and estimating historical carbon emissions from forest degradation in the context of REDD+ |
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Authors: | Martin Herold Rosa María Román-Cuesta Danilo Mollicone Yasumasa Hirata Patrick Van Laake Gregory P Asner Carlos Souza Margaret Skutsch Valerio Avitabile Ken MacDicken |
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Institution: | 1.Wageningen University. Center for Geoinformation,Wageningen,The Netherlands;2.UN-REDD Programme,FAO MRV team,Rome,Italy;3.Bureau of Climate Change,Forestry and Forest Products Research Institute. 1 Matsunosato,Tsukuba,Japan;4.UN-REDD Vietnam Programme. 172 Ngoc Khanh,Ba Dinh,Vietnam;5.Carnegie Institution,Stanford,USA;6.IMAZON,Rua Domingos Marreiros 2020, Fátima,Belém,Brazil;7.Centro de Investigaciones en Geografía Ambiental,Universidad Nacional Autonoma de México, Campus Morelia,Morelia,México;8.FAO Forest Resources Assessment team,Viale delle Terme di Caracalla 15,Rome,Italy |
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Abstract: | Measuring forest degradation and related forest carbon stock changes is more challenging than measuring deforestation since
degradation implies changes in the structure of the forest and does not entail a change in land use, making it less easily
detectable through remote sensing. Although we anticipate the use of the IPCC guidance under the United Framework Convention
on Climate Change (UNFCCC), there is no one single method for monitoring forest degradation for the case of REDD+ policy.
In this review paper we highlight that the choice depends upon a number of factors including the type of degradation, available
historical data, capacities and resources, and the potentials and limitations of various measurement and monitoring approaches.
Current degradation rates can be measured through field data (i.e. multi-date national forest inventories and permanent sample
plot data, commercial forestry data sets, proxy data from domestic markets) and/or remote sensing data (i.e. direct mapping
of canopy and forest structural changes or indirect mapping through modelling approaches), with the combination of techniques
providing the best options. Developing countries frequently lack consistent historical field data for assessing past forest
degradation, and so must rely more on remote sensing approaches mixed with current field assessments of carbon stock changes.
Historical degradation estimates will have larger uncertainties as it will be difficult to determine their accuracy. However
improving monitoring capacities for systematic forest degradation estimates today will help reduce uncertainties even for
historical estimates. |
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