Spatially and Temporally Explicit Life Cycle Environmental Impacts of Soybean Production in the U.S. Midwest.,Environmental Science & Technology

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Spatially and Temporally Explicit Life Cycle Environmental Impacts of Soybean Production in the U.S. Midwest.
Environmental Science & Technology ( IF 10.8 ) Pub Date : 2020-04-01 , DOI: 10.1021/acs.est.9b06874
Xiaobo Xue Romeiko ₁ , Eun Kyung Lee ₁ , Yetunde Sorunmu ₁ , Xuesong Zhang _{2,

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Affiliation

Understanding spatially and temporally explicit life cycle environmental impacts is critical for designing sustainable supply chains for biofuel and animal sectors. However, annual life cycle environmental impacts of crop production at county scale across mutiple years are lacking. To address this knowledge gap, this study used a combination of Environmental Policy Integrated Climate and process-based life cycle assessment models to quantify life cycle global warming (GWP), eutrophication (EU) and acidification (AD) impacts of soybean production in nearly 1000 Midwest counties yr-1 over 9 years. Sequentially, a machine learning approach was applied to identify the top influential factors among soil, climate, and farming practices, which drive the spatial and temporal heterogeneity of life cycle environmental impacts. The results indicated that significant variations existed in life cycle GWP, EU, and AD among counties and across years. Life cycle GWP impacts ranged from -11.4 to 22.0 kg CO2-eq kg soybean-1, whereas life cycle EU and AD impacts varied by factors of 302 and 44, respectively. Nitrogen application rates, temperature in March and soil texture were the top influencing factors for life cycle GWP impacts. In contrast, soil organic content and nitrogen application rate were the top influencing factors for life cycle EU and AD impacts.

中文翻译：

美国中西部大豆生产的时空显性生命周期环境影响。

了解空间和时间上明确的生命周期环境影响对于设计生物燃料和动物部门的可持续供应链至关重要。然而，缺乏多年县级作物生产的生命周期对环境的影响。为了解决这一知识差距，本研究结合使用环境政策综合气候和基于过程的生命周期评估模型来量化近 1000 年大豆生产的生命周期全球变暖 (GWP)、富营养化 (EU) 和酸化 (AD) 影响中西部各县 1 年超过 9 年。随后，应用机器学习方法来确定土壤、气候和农业实践之间的主要影响因素，这些因素驱动了生命周期环境影响的空间和时间异质性。结果表明，不同县和不同年份的生命周期 GWP、EU 和 AD 存在显着差异。生命周期 GWP 影响范围为 -11.4 至 22.0 kg CO2-eq kg 大豆-1，而生命周期 EU 和 AD 影响分别相差 302 和 44 倍。施氮量、三月温度和土壤质地是生命周期 GWP 影响的首要影响因素。相比之下，土壤有机含量和施氮量是生命周期EU和AD影响的首要影响因素。

更新日期：2020-04-23

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