Industrial Engineering Department, De La Salle University, 2401 Taft Avenue, Manila, Philippines.
Industrial Engineering Department, De La Salle University, 2401 Taft Avenue, Manila, Philippines.
J Environ Manage. 2018 Jan 15;206:319-329. doi: 10.1016/j.jenvman.2017.10.044. Epub 2017 Nov 1.
Species selection is a crucial step in the planning phase of forestation programs given its impact on the results and on stakeholder interactions. This study develops a planning tool for forestation programs that incorporates the selection of tree species and the scheduling of planting and harvesting, while balancing the maximization of the carbon sequestered and income realized, into the forestation decision-making and planning process. The validation of the goal programming model formulated demonstrates that the characteristics of natural tree species along with the behavior of growth and timing of yield are significant factors in achieving the environmental and socio-economic aspirations. The proposed model is therefore useful in gauging species behavior and performance over time. Sensitivity analysis was also conducted where the behavior of the income generated and carbon sequestered with respect to the external factors such as carbon market prices, percentage area allocated for protection and discount factor was assessed.
物种选择是造林规划阶段的关键步骤,因为它会影响结果和利益相关者的互动。本研究开发了一种造林规划工具,将树种选择和种植与收获的规划结合起来,同时在造林决策和规划过程中实现碳封存和收入最大化的平衡。所制定的目标规划模型的验证表明,自然树种的特性以及生长和产量时间的行为是实现环境和社会经济目标的重要因素。因此,所提出的模型可用于随着时间的推移衡量物种的行为和表现。还进行了敏感性分析,评估了收入和碳封存的行为相对于碳市场价格、保护面积百分比和贴现因子等外部因素的变化。