Over the past two decades, the United States government conducted detailed analyses of the potential of a biobased national energy strategy that produced four unified studies, namely the 2005–2016 US Billion-Ton Study and updates. With each effort, better perspective was gained on the biophysical potential of biomass and the economic availability of these resources on a national scale. It was also apparent that many questions remained, including crop yields, logistical operations, and systems integration across production and harvest. These reports accentuated the need for improving geospatial performance metrics for biomass supply chains. This study begins to address these problems by developing spatially specific data layers that incorporate data on soils, climatology, growth, and economics for short-rotation woody biomass plantations. Methods were developed to spatially assess the potential productivity and profitability of four candidate species Pinus taeda L., Populus deltoides W. Bartram ex Marshall and Populus hybrids, Eucalyptus grandis Hill ex Maiden, and Eucalyptus benthamii Maiden et Cambage for biomass plantations in the eastern United States. Productivity was estimated using the process-based growth model 3PG (Physiological Processes Predicting Growth) parameterized at the resolution of the United States 5-digit zip code tabulation area (ZCTA). Each ZCTA is unique in terms of species suitability, cost, and productive potential. These data layers make available dedicated energy crop analyses for practitioners interested in facility siting scenarios in conjunction with a species growth potential at a particular location. Production systems for SRWC are extremely regionalized given key biophysical and economic factors that determine the potential for acceptable growth and profitability. This analysis points to the return on invested capital being dependent on the site location of a species within its operable range. Large-scale biomass plantation systems are feasible in regions with higher potential internal rate of return. The higher the potential return, the more desirable it is to plant the specific species on the site. Increasing the available feedstock by lowering cost, increasing productivity, and stabilizing logistics would have a similar effect as higher feedstock prices. The modeled growth can be used for further economic evaluation, carbon sequestration studies, and sustainability research.

中文翻译：

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一种在美国东部对短轮伐木本作物的生物生产力和经济吸引力进行建模的空间明确方法

在过去的二十年中，美国政府对生物基国家能源战略的潜力进行了详细分析，该战略产生了四项统一研究，即2005-2016年美国十亿吨研究和更新。通过一切努力，人们对生物质的生物物理潜力以及这些资源在全国范围内的经济可利用性有了更好的认识。同样很明显，仍然存在许多问题，包括作物产量，物流运作以及整个生产和收获过程中的系统集成。这些报告强调了为生物质供应链改善地理空间性能指标的需求。这项研究开始通过开发空间特定的数据层来解决这些问题，这些数据层结合了短轮伐木本生物量人工林的土壤，气候，生长和经济方面的数据。已开发出方法来空间评估四个联合候选物种Pinus taeda L.，胡杨Populus W.状态。使用基于过程的增长模型3PG（预测增长的生理过程）估算生产率，该模型以美国5位邮政编码制表区（ZCTA）的分辨率进行参数化。每个ZCTA在物种适用性，成本和生产潜力方面都是独特的。这些数据层为对设施选址场景感兴趣的从业人员提供了专用的能源作物分析，并结合了特定位置的物种生长潜力。鉴于关键的生物物理和经济因素决定了可接受的增长和利润潜力，SRWC的生产系统是极端区域化的。该分析指出，投资资本的回报取决于物种在其可操作范围内的地点。在潜在内部收益率更高的地区，大规模的生物量种植系统是可行的。潜在收益越高，就越希望在该地点种植特定物种。通过降低成本，提高生产率和稳定物流来增加可用的原料，将具有与提高原料价格类似的效果。模拟的增长可用于进一步的经济评估，碳固存研究和可持续性研究。