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面向专家的OpenLCA和生命周期评估(LCA)中生物多样性影响评估的特征因子数据集。

A dataset of characterization factors for biodiversity impact assessment in OpenLCA and LCA for experts.

作者信息

Quandt Julian, Lindner Jan Paul, Mumm Nico

机构信息

Institute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, Augsburg 86159, Germany.

corsus - Corporate Sustainability GmbH, Großneumarkt 50, Hamburg 20459, Germany.

出版信息

Data Brief. 2025 Mar 20;60:111496. doi: 10.1016/j.dib.2025.111496. eCollection 2025 Jun.

Abstract

The accelerating loss of biodiversity and ongoing ecosystem degradation rank among the most pressing global challenges today. Life Cycle Assessment (LCA) has emerged as a pivotal tool for evaluating the environmental sustainability of production systems; however, the integration of biodiversity impact assessments into LCA studies remains constrained by significant data gaps, limited spatial resolution, and methodological complexity. This dataset addresses these challenges by providing and integrating ready-to-use characterization factors for biodiversity impact assessment in current LCA software packages. Characterization factors (CF) were calculated for land occupation flows of three LCA databases (Agribalyse 3.1.1, Ecoinvent 3.10, and Sphera LCA For Experts) following the Biodiversity Value Increment (BVI) method. The CF are applicable at global and country level, considering both land-use intensity and location. The integration into current LCA Software packages (OpenLCA 2.1.0 and Sphera LCA For Experts), enhances accessibility for LCA practitioners, supporting more comprehensive evaluations especially in terms of biodiversity impact assessments.

摘要

生物多样性加速丧失和生态系统持续退化是当今全球最紧迫的挑战之一。生命周期评估(LCA)已成为评估生产系统环境可持续性的关键工具;然而,将生物多样性影响评估纳入LCA研究仍受到大量数据缺口、有限的空间分辨率和方法复杂性的制约。该数据集通过在当前LCA软件包中提供并整合用于生物多样性影响评估的即用型特征因子来应对这些挑战。根据生物多样性价值增量(BVI)方法,为三个LCA数据库(Agribalyse 3.1.1、Ecoinvent 3.10和Sphera LCA For Experts)的土地占用流计算了特征因子。这些特征因子适用于全球和国家层面,同时考虑了土地利用强度和位置。将其整合到当前的LCA软件包(OpenLCA 2.1.0和Sphera LCA For Experts)中,提高了LCA从业者的可及性,支持进行更全面的评估,尤其是在生物多样性影响评估方面。

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本文引用的文献

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