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Use of Optimization Modeling to Assess the Effect of Timber and Carbon Pricing on Harvest Scheduling, Carbon Sequestration, and Net Present Value of Eucalyptus Plantations

机译:优化建模的使用来评估木材和碳定价对桉树种植植物收获调度,碳封存和净现值的影响

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摘要

Quantifying the impact of carbon (C) and timber prices on harvest scheduling and economic returns is essential to define strategies for the sustainable management of short-rotation plantations so that they can provide timber products and contribute to C sequestration. In this paper, we present a mixed-integer linear programming model that optimizes harvest scheduling at the forest level, C sequestration, and Net Present Value (NPV) over a planning period of up to 15 years. The model included revenue from the sale of timber (pulplogs) and credits from the net C sequestered during the life of the stands. In addition, plantation establishment, management, harvesting, and transportation costs were included in the analysis. The study area comprised 88 Eucalyptus grandis W. Hill and Eucalyptus dunnii Maiden stands located in Uruguay, totaling a forest area of nearly 1882 ha. The study investigated the impact of C and timber prices on NPV, harvest schedules, stands’ harvest age, timber flows to customers, and C sequestered per period. The maximum NPV among all the scenarios evaluated (USD 7.53 M) was calculated for a C price of 30 USD t−1, an interest rate of 6%, and a timber price of 75 USD m−3. This was USD 2.14 M higher than the scenario with the same parameters but that included only revenue from timber. C prices also impacted stands’ harvest age, C sequestration, and timber flows delivered to end customers. On average, in scenarios that included C prices, timber flows and C sequestration increased by 15.4 and 12.1%, respectively, when C price increased from 5 to 30 USD t−1. These results demonstrate that harvest scheduling, harvest age, and NPV are very sensitive to C and timber, and that the best economic returns are obtained when the stands are managed to maximize timber production and C sequestration.
机译:量化碳(C)和木材价格对收获调度和经济回报的影响对于确定短旋转种植园可持续管理的策略至关重要,以便他们提供木材产品并有助于C封存。在本文中,我们介绍了一个混合整数线性编程模型,在长达15年的规划期间优化了森林水平,C封存和净现值(NPV)的收获调度。该模型包括从销售木材(碰撞架)的收入,并从立体寿命期间孤立的净C.此外,分析中包括种植园建立,管理,收获和运输费用。该研究区包括88个桉树Grandis W. Hill和Eucalyptus Dunnii Maiden Stands,位于乌拉圭,总共森林面积近1882公顷。该研究调查了C和木材价格对NPV,收获时间表的影响,展望了“收获年龄”,木材流向客户,C,每期螯合。评估的所有方案中的最大NPV(7.53米)的C级为30美元T-1,利率为6%,木材价格为75美元。这比具有相同参数的场景高2.14米,但仅包括木材的收入。 C价格也受到影响'收获年龄,C封存和元宝流传送到最终客户。平均而言,在包括C价格的情景中,木材流量和C分别分别增加了15.4%和12.1%,当时C价格从5到30美元增加到30美元。这些结果表明,收获调度,收获年龄和NPV对C和木材非常敏感,并且当实体管理到最大化木材生产和C封存时,获得了最佳的经济回报。

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