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

DOI: 10.1186/1750-0680-6-13

Keywords: REDD+, forest, global change, monitoring, deforestation, degradation, tropical countries, remote sensing

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Abstract:

From the perspective of the UNFCCC for REDD+, forest degradation refers to a loss of carbon stock within forest land. Forest disturbances that lead to degradation such as over-harvesting, forest fires, pests and climatic events including drought, wind, snow, ice, and floods have been estimated to affect roughly 100 million of hectares globally per year [1,2]. This value represents almost 10 times the area that is affected by deforestation globally (i.e. 13 million hayr-1 for 2000-2005) [3,4]. In particular, tropical regions are well known for large scale disturbances that lead to forest degradation [5-8], but over large areas, the processes that reduce forest carbon stocks have neither been well characterized in space, nor in time.To address climate change mitigation actions in the forest sector, five different components have been agreed upon by Parties to the United Framework Convention on Climate Change (UNFCCC) under negotiations for Reduced Emissions from Deforestation and Degradation (REDD+). These include reducing deforestation, reducing degradation, forest enhancement, sustainable management of forests, and forest conservation. The negotiations identify the need to establish national forest monitoring systems that use an appropriate combination of remote sensing and ground-based forest carbon inventory approaches for estimating anthropogenic forest-related greenhouse gas emissions by sources, removals by sinks, and the need to establish reference emission levels using historical data and adjusted for national circumstances [9].Issues related to assessing and monitoring forest degradation and associated carbon stock changes have been subject to international debate on the political and technical level [10,11]. Recent history is of particular interest in the early stages of REDD+ implementation, in order to understand which drivers and activities have led to forest degradation and to quantify the carbon emissions caused by this process to provide a reference e

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