Assessing data availability for the development of REDD-plus national reference levels.
Assessing data availability for the development of REDD-plus national reference levels.
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DOI：
10.1186/1750-0680-5-6
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发表时间：
2010-09-30
影响因子：
3.8
通讯作者：
Wilamart S
中科院分区：
文献类型：
--
作者：
Umemiya C;Amano M;Wilamart S
众所周知，发展中国家的数据可得性千差万别，这是为REDD+设定国家参考水平(RLS)的制约因素之一。《气候公约》之下的《关于减少发展中国家毁林和森林退化所致排放量问题的政策方针和积极激励措施；以及发展中国家森林养护、可持续管理和增加森林碳储存的作用》)。本文以泰国为例，比较了三种不同类型的RLS，它们需要不同水平的数据集，包括简单的历史RL、预测的森林趋势RL和一切照旧(BAU)RL。除了发现不同的RL会对未来的森林砍伐面积产生不同的估计外，分析还确定了每个RL的特征。历史RL需要简单的数据，但可以根据参考年份或期间而变化。如果国家的森林砍伐趋势曲线能够顺利形成，森林趋势RL可以比历史RL更可靠。复杂的BAU RL是有用的，因为它可以证明REDD+活动的额外性，并区分该国的无意努力。由于REDD+涉及广泛参与，各国应根据各国可获得的数据，采取从更简单到更复杂的措施，从中选择适当的RL。一旦向REDD+登记，就应支持能力较弱的国家加强该国的数据收集系统。
Data availability in developing countries is known to be extremely varied and is one of the constraints for setting the national reference levels (RLs) for the REDD-plus (i.e. 'Policy approaches and positive incentives on issues relating to reducing emissions from deforestation and forest degradation in developing countries; and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries') under the UNFCCC. Taking Thailand as a case study country, this paper compares three types of RLs, which require different levels of datasets, including a simple historic RL, a projected forest-trend RL, and a business-as-usual (BAU) RL. Other than the finding that different RLs yielded different estimations on future deforestation areas, the analysis also identified the characteristics of each RL. The historical RL demanded simple data, but can be varied in accordance with a reference year or period. The forest-trend RL can be more reliable than the historical RL, if the country's deforestation trend curve is formed smoothly. The complicated BAU RL is useful as it can demonstrate the additionality of REDD-plus activities and distinguish the country's unintentional efforts. With the REDD-plus that involves widespread participation, there should be steps from which countries choose the appropriate RL; ranging from simpler to more complex measures, in accordance with data availability in each country. Once registered with REDD-plus, the countries with weak capacity and capability should be supported to enhance the data collection system in that country.