Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, USA; Great Lakes Bioenergy Research Center and Biological Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Great Lakes Bioenergy Research Center and Biological Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Bioresour Technol. 2020 Apr;302:122896. doi: 10.1016/j.biortech.2020.122896. Epub 2020 Jan 25.
This study assesses the role of spatial-resolution and spatial-variations in environmental impacts estimation and decision-making for corn-stover harvesting to produce biofuels. Geospatial corn-stover yields and environmental impacts [global warming potential (GWP), eutrophication, and soil-loss] dataset for two study areas in Wisconsin and Michigan were generated through Environmental Policy Integrated Climate (EPIC) model and aggregated at different spatial-resolutions (i.e., 100; 1000; 10,000 ha). For each spatial-resolution, decision-making was accomplished using an optimization routine to minimize different environmental impacts associated with harvesting stover to meet varied biomass demands. The results of the study showed that selective harvesting at higher-resolution (or lower-aggregation level) can result in significantly lower environmental impacts, especially at low stover demand levels. Additionally, the increased spatial resolution had more impact in minimizing the environmental impacts of corn stover harvest under a more variable landscape such as terrains and its influences are more pronounced for soil-loss and eutrophication potential compared to GWP.
本研究评估了空间分辨率和空间变化在评估玉米秸秆收获的环境影响和决策中的作用，以生产生物燃料。通过环境政策综合气候（EPIC）模型生成了威斯康星州和密歇根州两个研究区域的地理空间玉米秸秆产量和环境影响[全球变暖潜能值（GWP）、富营养化和土壤流失]数据集，并按不同的空间分辨率（即 100、1000 和 10000 公顷）进行了汇总。对于每个空间分辨率，都使用优化例程来完成决策，以最小化与收获秸秆以满足不同生物质需求相关的不同环境影响。研究结果表明，在较高分辨率（或较低聚合水平）下进行选择性收获可以显著降低环境影响，尤其是在较低的秸秆需求水平下。此外，在更具变异性的景观（如地形）下，增加空间分辨率对最小化玉米秸秆收获的环境影响的影响更大，与 GWP 相比，其对土壤流失和富营养化潜力的影响更为明显。
