Department of Earth Sciences, University of Gothenburg, Sweden. Box 460, 405 30 Göteborg, Sweden.
J Environ Manage. 2012 Jun 15;100:29-40. doi: 10.1016/j.jenvman.2012.01.018. Epub 2012 Feb 21.
Any system to compensate countries for reduced emissions from deforestation and forest degradation (REDD+) requires a historical reference level against which future performance can be measured. Here we examine the possibilities Sri Lanka, a small forest country with limited data on forest carbon stocks, has to get ready for REDD+. We construct a historical reference level using available forest inventory data combined with updated 2008 and 2009 in situ carbon density data for Sri Lankan forests. Furthermore, we use a combination of qualitative and quantitative data to attribute the clearing of Sri Lankan forests in the latest years for which national forest inventory data are available, 1992-1996, to various proximate drivers and to estimate the opportunity cost of forest conservation. We estimate that baseline deforestation emissions in Sri Lanka amounted to 17MtCO(2)yr(-1) in the 1992-1996 period, but conclude that it is challenging for Sri Lanka to produce a robust and accurate reference level due to the lack of nationally based inventories. We find that the majority of forest clearing (87%) is due to small-scale, rainfed farming, with the two other major drivers being rice and tea cultivation. Further, Sri Lankan revenues from REDD+ participation could be substantial, but they are sensitive to REDD+ policy transaction cost, highly uncertain timber revenues, and particularly the carbon price paid for emission reductions. The latter needs to be higher than $5-10/tCO(2) if there are to be substantial incentives for Sri Lanka to participate in REDD+. There is, however, a large gap in the knowledge of deforestation drivers that needs to be filled if Sri Lanka is to formulate an effective policy response to forest degradation in REDD+. For successful REDD+ implementation in Sri Lanka to happen, technological assistance, readiness assistance, and continued political momentum are crucial.
任何补偿因森林砍伐和森林退化导致的温室气体减排(REDD+)的国家补偿体系都需要一个历史基准,以便对未来的表现进行衡量。在这里,我们考察了斯里兰卡这个森林面积较小、森林碳储量数据有限的国家,为筹备 REDD+ 而具备的可能性。我们使用现有的森林清查数据,并结合最新的 2008 年和 2009 年斯里兰卡实地碳密度数据,构建了一个历史基准。此外,我们还利用定性和定量数据的组合,对斯里兰卡在有国家森林清查数据的最近几年(1992-1996 年)森林砍伐的原因进行归因分析,确定了各种近因驱动因素,并估算了森林保护的机会成本。我们估计,在 1992-1996 年期间,斯里兰卡的基准森林砍伐排放量为 1700 万吨二氧化碳/年,但由于缺乏基于国家的清查数据,我们得出的结论是,斯里兰卡很难生成一个稳健而准确的参考水平。我们发现,大部分森林砍伐(87%)是由小规模、雨养农业造成的,另外两个主要驱动因素是水稻和茶叶种植。此外,斯里兰卡参与 REDD+ 可能会获得可观的收益,但收益受到 REDD+政策交易成本、木材收益高度不确定性以及特别是用于减排的碳价格的影响。如果要为斯里兰卡参与 REDD+提供实质性激励,那么碳价格需要高于 5-10 美元/吨二氧化碳。然而,如果要制定有效的 REDD+政策来应对森林退化,就需要填补对森林砍伐驱动因素的认知差距。为了使 REDD+在斯里兰卡的成功实施,技术援助、筹备援助和持续的政治动力至关重要。