在专家的OpenLCA和LCA中进行生物多样性影响评估的表征因子数据集
Julian Quandt1,2,3, Jan Paul Lindner1, Nico Mumm1,2
1Institute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, Augsburg 86159, Germany.
Data in brief
|April 11, 2025
概括
本研究为生命周期评估 (LCA) 软件提供了可访问的生物多样性影响评估数据. 这些表征因素通过解决数据差距和复杂性来改善环境可持续性评估.
科学领域:
- 环境科学 环境科学
- 生态生态学 生态生态学
- 可持续性科学 可持续性科学
背景情况:
- 生物多样性丧失和生态系统退化是全球关键问题.
- 生命周期评估 (LCA) 对于评估环境可持续性至关重要.
- 将生物多样性影响纳入LCA受到数据缺口,有限的空间分辨率和方法复杂性的阻碍.
研究的目的:
- 在LCA中为生物多样性影响评估提供准备就绪的表征因子.
- 提高LCA生物多样性影响评估的可访问性和全面性.
主要方法:
- 使用生物多样性价值增量 (BVI) 方法计算土地占用流动的表征因子 (CF).
- 使用了三个LCA数据库:Agribalyse 3.1.1,Ecoinvent 3.10和Sphera LCA 专家.
- 确保了CF在全球和国家层面的适用性,考虑到土地使用强度和位置.
主要成果:
- 开发和整合生物多样性影响评估的特征因素.
- CFs与当前的LCA软件包,如OpenLCA 2.1.0和Sphera LCA For Experts兼容. CFs可以与当前的LCA软件包,如OpenLCA 2.1.0和Sphera LCA For Experts兼容.
- 提高LCA从业人员进行更全面的生物多样性影响评估的可访问性.
结论:
- 开发的数据集弥合了生物多样性LCA中的关键数据缺口.
- 生物多样性影响评估工具的可访问性增加支持更强大的环境可持续性评估.
- 促进生物多样性考虑在生产系统评估中得到更好的整合.
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