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首页> 外文期刊>Biomass & bioenergy >Modeling poplar growth as a short rotation woody crop for biofuels in the Pacific Northwest
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Modeling poplar growth as a short rotation woody crop for biofuels in the Pacific Northwest

机译：将杨树生长模拟为西北太平洋地区用于生物燃料的短轮伐木本作物

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Predicting the economic viability and environmental sustainability of a biofuels industry based on intensively cultivated short rotation woody crops (SRWC) requires spatial predictions of growth and yield under various environmental conditions and across large regions. The Physiological Principles in Predicting Growth (3PG) model was modified to evaluate the growth and yield of coppiced poplar (Populus spp). This included an additional biomass partitioning method and developing a sub-model which takes into account the impact of coppicing on post harvest regeneration, extending the applicability of the 3PG model to coppice management regimes. The parameterized model was applied to the entire Pacific Northwest of the United States, using appropriate climate and soil input data. Results predict the yield of poplar cultivation at a spatial resolution of ≈ 64 km~2 throughout the ≈ 8,000,000 km~2 of the study region. Existing agricultural cultivation patterns were used to estimate regional water availability for irrigation, and for non-irrigated regions, land cover features including ownership, slope, soil salinity and water table depth where used to select areas with a real potential to support a SRWC plantation. Results can be integrated with other models that allow for optimizing crop selection and biorefinery site selection. Important results include; an updated 3PG model for coppiced SRWC plantings, estimates of biomass feedstock yields under different irrigation patterns and weather conditions, and estimates for feedstock availability when combined with crop adoption scenarios.
机译：根据集约化种植的短轮伐木本作物（SRWC）来预测生物燃料产业的经济可行性和环境可持续性，需要在各种环境条件下以及整个大范围内对生长和产量进行空间预测。修改了《预测生长的生理原理》（3PG）模型，以评估白杨（Populus spp）的生长和产量。这包括附加的生物量分配方法，并开发了一个子模型，该模型考虑了复制对收获后再生的影响，将3PG模型的适用性扩展到了小灌木林管理制度。使用适当的气候和土壤输入数据，将参数化模型应用于美国整个西北太平洋地区。结果预测在整个研究区域的≈8,000,000 km〜2的空间分辨率下，杨树栽培的产量约为≈64 km〜2。现有的农业耕作模式被用来估算灌溉区域的可用水量，对于非灌溉区域，土地覆盖特征（包括所有权，坡度，土壤盐分和地下水位深度）被用于选择有潜力支持SRWC人工林的地区。结果可以与其他模型集成，从而优化农作物选择和生物精炼厂选址。重要结果包括：更新了用于特定SRWC种植的3PG模型，估算了不同灌溉方式和天气条件下生物量原料的产量，并结合了作物采用方案估算了原料的利用率。

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