MARETEC - Marine, Environment and Technology Centre, LARSyS , Instituto Superior Técnico, Universidade de Lisboa , Av. Rovisco Pais, 1 , 1049-001 Lisbon , Portugal.
Environ Sci Technol. 2018 Nov 6;52(21):12436-12444. doi: 10.1021/acs.est.8b00721. Epub 2018 Oct 9.
Land occupation and transformation change soil organic carbon (SOC) stocks, which are a priority indicator for biotic production potential (BPP) in life cycle impact assessment (LCIA). SOC is a potential umbrella indicator for land use-related impacts, but global LCIA characterization models have never been sufficiently regionalized. Regeneration times required for the calculation of transformation impacts are unknown and can only be estimated through expert judgment or using additional assumptions. In this paper, we calculate global midpoint characterization factors (CF) for SOC depletion following land use and land use change using data from the European Soil Data Center with a resolution of 30 arc second. We used three possible calculation procedures to determine regeneration times: (1) estimations based on literature; (2) equal regeneration duration for all land uses; (3) equal regeneration rates for all land uses. We then propose an innovative approach for LCIA that combines all CFs in this paper as well as prior models using a spatial consolidation approach to arrive at a single set of CFs. We show that this procedure combines the strengths of each individual model and dilutes their shortcomings, and recommend the use of these consolidated CFs rather than individual sets of factors. For endpoints, we applied a nutrient replacement method using fertilizer input to compensate for organic matter depletion and obtained monetary CFs for SOC-related damages caused by land use on BPP.
土地占用和转化会改变土壤有机碳 (SOC) 储量，这是生命周期影响评估 (LCIA) 中生物生产潜力 (BPP) 的优先指标。SOC 是与土地利用相关影响的潜在总括指标，但全球 LCIA 特征化模型从未得到充分的区域化。用于计算转化影响的再生时间未知，只能通过专家判断或使用其他假设进行估计。在本文中，我们使用分辨率为 30 弧秒的欧洲土壤数据中心的数据，计算了土地利用和土地利用变化后 SOC 消耗的全球中点特征化因子 (CF)。我们使用了三种可能的计算程序来确定再生时间：（1）基于文献的估计；（2）所有土地利用的再生持续时间相等；（3）所有土地利用的再生速率相等。然后，我们提出了一种创新的 LCIA 方法，该方法将本文中的所有 CF 以及之前的模型结合使用空间整合方法，得出一组单一的 CF。我们表明，该程序结合了每个单独模型的优势并淡化了它们的缺点，并建议使用这些综合 CF 而不是单独的因子集。对于终点，我们使用肥料投入的养分替代方法来补偿有机质的消耗，并获得了与土地利用对 BPP 相关的 SOC 相关损害的货币 CF。
