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A Carbon Sequestration Supply Function and Development of Feasible Clean Development Mechanism Rules for Tropical Forest Carbon Sinks

机译:热带森林碳汇的固碳供给功能和可行的清洁发展机制规则的发展

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摘要

With the rise in importance of global climate change, society is actively exploring the possibility of using forest ecosystems as a carbon sink. Tropical forests may offer over two-third of such opportunities. The protection of tropical forests could offset global fossil fuel C emissions and reduce the cost of emissions limitations set in Kyoto, and certified emissions credits (CERs) under the Clean Development Mechanism (CDM) established in Kyoto will likely incorporate tropical forest sinks within efforts to meet emissions targets. While this could in principle result in significant economic and sequestration benefits, actual evidence on tropical C sinks is sparse. However, society must soon make key decisions concerning tropical forest sinks in the CDM. (Physical and Economic Factors economics land Use choices ecology Carbon Implications). The first major goal of our project is to estimate how much C sequestration will be generated in Costa Rica in response to any given monetary reward for C sequestration. Our advances in the ecological and economic components will be coupled to produce our first integrated output, an estimated supply or, equivalently, cost function for C sequestration (i.e. a relationship between the C reqard and the C sequestration supplied by land users). Our estimated function will itself answer policy questions about the effects of C payments, and will provide a basis for estimating the value that accrues globally and to individual countries from using C trading within the efforts to implement emissions limitations. It can also be plugged into integrated assessment models. Our advances in the economic component start with excellent existing GIS database on land use and land cover, and on the factors expected to affect land use choices. We will extend both of these types of data sets, in particular extending land-cover information back in time, and adding improved data on land returns. Next, we will both apply and extend the frontier of economic, observationally-based modeling of land use to provide a map from key factors to land choices. On the ecological side, our advances start with systematic and comprehensive measurement of above ground and soil C present within the range of forest ecosystems of Costa Rica as well as the C dynamics within land-use gradients of each of those systems (e.g., pastures, croplands, and secondary forests of varying ages). With this and existing data, we will calibrate and verify both process-based and empirically-based ecological models that generate C predictions of varying complexity. This provides a map to C stocks from land use choices within different ecosystem. Our second goal is to contribute to the effective design of the rules that allow C sequestration in tropical locations to replace emissions reductions in developed countries. Our analyses will provide the necessary information for the baselines that permit CERs to be defined, and a C market to function. We will also perform integrated sensitivity analyses to determine whether simplified versions of our disciplinary and integrated models maintain sufficient accuracy. Sufficient accuracy will ensure the sequestration outcomes envisioned, while greater simplicity which translates to lower costs of participation in trading, will stimulate further participation, lowering costs and raising the efficiency of implementation of the Kyoto emissions limitations.
机译:随着全球气候变化重要性的提高,社会正在积极探索使用森林生态系统作为碳汇的可能性。热带森林可能提供超过三分之二的机会。对热带森林的保护可以抵消全球化石燃料碳的排放,并降低《京都议定书》中设定的排放限制成本,在京都建立的清洁发展机制(CDM)下的认证排放信用(CER)可能会将热带森林汇汇入达到排放目标。尽管从原则上讲这可能会带来显着的经济和固碳效益,但有关热带碳汇的实际证据很少。但是,社会必须尽快就CDM中的热带森林汇聚做出重要决策。 (物理和经济因素经济学土地使用选择生态碳含义)。我们项目的第一个主要目标是估算哥斯达黎加会产生多少固碳,以响应任何给定的固碳货币奖励。我们在生态和经济构成要素方面的进步将结合起来,以产生我们的第一个综合产出,碳固存的估计供应量或等效的成本函数(即碳需求量与土地使用者提供的碳固存之间的关系)。我们估算的功能本身将回答有关碳支付影响的政策问题,并将为估算全球和各个国家在实施排放限制的努力中使用碳交易所产生的价值提供基础。也可以将其插入集成的评估模型中。我们在经济方面的进步始于现有的有关土地利用和土地覆盖的GIS数据库,以及预期会影响土地利用选择的因素。我们将扩展这两种类型的数据集,尤其是及时扩展土地覆盖信息,并增加有关土地收益的改进数据。接下来,我们将应用和扩展基于观测的经济,土地利用建模的前沿,以提供从关键因素到土地选择的地图。在生态方面,我们的进步始于对哥斯达黎加森林生态系统范围内存在的地上碳和土壤碳进行系统,全面的测量,以及每个系统(例如牧场,农田和不同年龄的次生林)。利用这些数据和现有数据,我们将对基于过程和基于经验的生态模型进行校准和验证,这些模型会生成复杂程度不同的C预测。这为不同生态系统中土地用途的选择提供了碳库的地图。我们的第二个目标是为规则的有效设计做出贡献,这些规则允许在热带地区封存碳以替代发达国家的减排量。我们的分析将为基准定义提供必要的信息,以允许定义CER和C市场运作。我们还将进行综合敏感性分析,以确定学科和综合模型的简化版本是否保持足够的准确性。足够的准确性将确保所设想的封存结果,而更大的简化性将转化为更低的参与交易成本,将刺激进一步的参与,降低成本并提高执行《京都议定书》排放限制的效率。

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