MARETEC - Marine, Environment and Technology Centre, LARSyS, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisbon, Portugal.
Sci Data. 2021 Sep 9;8(1):237. doi: 10.1038/s41597-021-01018-2.
Regionalization of land use (LU) impact in life cycle assessment (LCA) has gained relevance in recent years. Most regionalized models are statistical, using highly aggregated spatial units and LU classes (e.g. one unique LU class for cropland). Process-based modelling is a powerful characterization tool but so far has never been applied globally for all LU classes. Here, we propose a new set of spatially detailed characterization factors (CFs) for soil organic carbon (SOC) depletion. We used SOC dynamic curves and attainable SOC stocks from a process-based model for more than 17,000 world regions and 81 LU classes. Those classes include 63 agricultural (depending on 4 types of management/production), and 16 forest sub-classes, and 1 grassland and 1 urban class. We matched the CFs to LU elementary flows used by LCA databases at country-level. Results show that CFs are highly dependent on the LU sub-class and management practices. For example, transformation into cropland in general leads to the highest SOC depletion but SOC gains are possible with specific crops.
近年来，土地利用（LU）在生命周期评价（LCA）中的区域化影响受到了关注。大多数区域化模型都是基于统计的，使用高度聚合的空间单元和 LU 类别（例如，耕地只有一个独特的 LU 类别）。基于过程的建模是一种强大的特征描述工具，但迄今为止，它从未在全球范围内应用于所有 LU 类别。在这里，我们提出了一组新的、具有空间细节的土壤有机碳（SOC）损耗特征化因子（CF）。我们使用基于过程的模型中的 SOC 动态曲线和可获得的 SOC 储量，针对超过 17000 个世界区域和 81 个 LU 类别进行了研究。这些类别包括 63 个农业类别（取决于 4 种管理/生产类型），16 个森林亚类，1 个草地和 1 个城市类别。我们将 CF 与 LCA 数据库在国家层面使用的 LU 基本流动相匹配。结果表明，CF 高度依赖于 LU 亚类和管理实践。例如，一般来说，将土地转化为耕地会导致 SOC 损耗最高，但通过特定的作物也可以获得 SOC 的增加。
