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The Effect of Forest Management Strategy on Carbon Storage and Revenue in Western Washington: A Probabilistic Simulation of Tradeoffs

机译:华盛顿西部森林管理策略对碳储量和税收的影响:权衡的概率模拟

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The objectives of this study are to understand tradeoffs between forest carbon and timber values, and evaluate the impact of uncertainty in improved forest management (IFM) carbon offset projects to improve forest management decisions. The study uses probabilistic simulation of uncertainty in financial risk for three management scenarios (clearcutting in 45- and 65-year rotations and no harvest) under three carbon price schemes (historic voluntary market prices, cap and trade, and carbon prices set to equal net present value (NPV) from timber-oriented management). Uncertainty is modeled for value and amount of carbon credits and wood products, the accuracy of forest growth model forecasts, and four other variables relevant to American Carbon Registry methodology. Calculations use forest inventory data from a 1,740 ha forest in western Washington State, using the Forest Vegetation Simulator (FVS) growth model. Sensitivity analysis shows that FVS model uncertainty contributes more than 70% to overall NPV variance, followed in importance by variability in inventory sample (3-14%), and short-term prices for timber products (8%), while variability in carbon credit price has little influence (1.1%). At regional average land-holding costs, a no-harvest management scenario would become revenue-positive at a carbon credit break-point price of $14.17/Mg carbon dioxide equivalent (CO(2)e). IFM carbon projects are associated with a greater chance of both large payouts and large losses to landowners. These results inform policymakers and forest owners of the carbon credit price necessary for IFM approaches to equal or better the business-as-usual strategy, while highlighting the magnitude of financial risk and reward through probabilistic simulation.
机译:这项研究的目的是了解森林碳和木材价值之间的权衡,并评估不确定性对改进森林管理(IFM)碳补偿项目以改善森林管理决策的影响。该研究使用概率模拟,在三种碳价格方案(历史自愿性市场价格,总量控制和贸易,碳价格设定为净净值)下的三种管理情景(45年和65年的轮换,没有收获)中的财务风险不确定性木材经营产生的现值(NPV))。针对碳信用额和木材产品的价值和数量,森林生长模型预测的准确性以及与美国碳注册局方法有关的其他四个变量建模不确定性。计算使用森林植被模拟器(FVS)生长模型,使用华盛顿州西部1,740公顷森林中的森林清单数据。敏感性分析表明,FVS模型的不确定性对整体NPV差异的贡献超过70%,其次是库存样本的可变性(3-14%)和木材产品的短期价格(8%),而碳信用的可变性价格影响不大(1.1%)。以区域平均土地持有成本计,无收成管理方案将以碳信用折点价格为14.17美元/ Mg二氧化碳当量(CO(2)e)变为正收入。 IFM碳项目具有更大的机会,既有大笔支出,也有很大的土地所有者损失。这些结果使政策制定者和森林所有者了解了IFM方法等于或改善常规经营策略所必需的碳信用价格,同时通过概率模拟强调了财务风险和回报的程度。

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