Luxembourg Institute of Science and Technology (LIST), Department of Environmental Research & Innovation (ERIN), 41 Rue du Brill, 4422 Belvaux, Luxembourg; Vrije Universiteit Amsterdam, School of Business and Economics, 1105 De Boelelaan, 1081 HV Amsterdam, the Netherlands.
Luxembourg Institute of Science and Technology (LIST), Department of Environmental Research & Innovation (ERIN), 41 Rue du Brill, 4422 Belvaux, Luxembourg.
Sci Total Environ. 2019 Nov 25;693:133374. doi: 10.1016/j.scitotenv.2019.07.180. Epub 2019 Jul 13.
In order to consider the effects of land use, and the land cover changes it causes, on ecosystem services in life cycle assessment (LCA), a new methodology is proposed and applied to calculate midpoint and endpoint characterization factors. To do this, a cause-effect chain was established in line with conceptual models of ecosystem services to describe the impacts of land use and related land cover changes. A high-resolution, spatially explicit and temporally dynamic modeling framework that integrates land use and ecosystem services models was developed and used as an impact characterization model to simulate that cause-effect chain. Characterization factors (CFs) were calculated and regionalized at the scales of Luxembourg and its municipalities, taken as a case to show the advantages of the modeling approach. More specifically, the calculated CFs enable the impact assessment of six land cover types on six ecosystem functions and two final ecosystem services. A mapping and comparison exercise of these CFs allowed us to identify spatial trade-offs and synergies between ecosystem services due to possible land cover changes. Ultimately, the proposed methodology can offer a solution to overcome a number of methodological limitations that still exist in the characterization of impacts on ecosystem services in LCA, implying a rethinking of the modeling of land use in life cycle inventory.
为了在生命周期评价(LCA)中考虑土地利用及其引起的土地覆盖变化对生态系统服务的影响,提出了一种新的方法,并将其应用于计算中点和终点特征化因子。为此,按照生态系统服务的概念模型,建立了一条因果链,以描述土地利用和相关土地覆盖变化的影响。开发了一个高分辨率、空间明确和时间动态的建模框架,该框架集成了土地利用和生态系统服务模型,用作影响特征化模型,以模拟该因果链。在卢森堡及其直辖市的范围内计算和区域化了特征化因子(CF),并将其作为一个案例来展示建模方法的优势。更具体地说,计算出的 CF 能够评估六种土地覆盖类型对六种生态系统功能和两种最终生态系统服务的影响。对这些 CF 的映射和比较,使我们能够识别由于可能的土地覆盖变化而导致的生态系统服务之间的空间权衡和协同作用。最终,所提出的方法可以提供一种解决方案,以克服在 LCA 中对生态系统服务影响的特征化中仍然存在的一些方法学限制,这意味着需要重新思考生命周期清单中土地利用的建模。