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Options for monitoring and estimating historical carbon emissions from forest degradation in the context of REDD+

机译:在REDD +背景下监测和估算森林退化造成的历史碳排放的方案

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摘要

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.
机译:与退化的森林相比,测量森林的退化和相关的森林碳储量变化更具挑战性,因为退化意味着森林结构的变化,并且不涉及土地用途的变化,这使其更难通过遥感检测。尽管我们期望在《联合国气候变化框架公约》(UNFCCC)下使用IPCC指南,但对于REDD +政策,并没有一种监测森林退化的单一方法。在这篇综述文件中,我们着重指出,选择取决于许多因素,包括退化的类型,可用的历史数据,容量和资源,以及各种测量和监视方法的潜力和局限性。当前的退化率可以通过实地数据(例如,国家森林目录的多日数据和永久性样地数据,商业林业数据集,来自国内市场的代理数据)和/或遥感数据(即林冠和森林结构变化的直接图)进行测量或通过建模方法进行间接映射),以及提供最佳选择的技术组合。发展中国家经常缺乏一致的历史实地数据来评估过去的森林退化,因此必须更多地依赖遥感方法与目前对碳储量变化的实地评估相结合。历史降级估计将具有较大的不确定性,因为将难以确定其准确性。但是,今天提高对系统森林退化估算的监测能力将有助于减少不确定性,即使是历史估算也是如此。

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