Oliver Jay, McManamay Ryan A
Department of Environmental Science, Baylor University, Waco, TX, 76798, USA.
Sci Data. 2025 Mar 19;12(1):455. doi: 10.1038/s41597-025-04713-6.
Earth System Models (ESMs) require current and future projections of land use and landcover change (LULC) to simulate land-atmospheric interactions and global biogeochemical cycles. Among the most utilized land systems in ESMs are the Community Land Model (CLM) and the Land-Use Harmonization 2 (LUH2) products. Regional studies also use these products by extending coarse projections to finer resolutions via downscaling or by using multisector dynamic (MSD) models. One such MSD model is the Global Change Analysis Model (GCAM), which has its own independent land module, but often relies on CLM or LUH2 as spatial inputs for its base years. However, this requires harmonization of thematically incongruent land systems at multiple spatial resolutions, leading to uncertainty and error propagation. To resolve these issues, we develop a thematically consistent LULC system for the conterminous United States adaptable to multiple MSD frameworks to support research at a regional level. Using empirically derived spatial products, we developed a series of base maps for multiple contemporary years of observation at a 30-m resolution that support flexibility and interchangeability amongst LUH2, CLM, and GCAM classification systems.
地球系统模型（ESMs）需要当前和未来土地利用与土地覆盖变化（LULC）的预测，以模拟陆地 - 大气相互作用和全球生物地球化学循环。在ESMs中使用最广泛的土地系统包括社区土地模型（CLM）和土地利用协调2（LUH2）产品。区域研究也通过降尺度将粗略预测扩展到更精细分辨率或使用多部门动态（MSD）模型来使用这些产品。一个这样的MSD模型是全球变化分析模型（GCAM），它有自己独立的土地模块，但在其基年通常依赖CLM或LUH2作为空间输入。然而，这需要在多个空间分辨率上协调主题不一致的土地系统，从而导致不确定性和误差传播。为了解决这些问题，我们为美国本土开发了一个主题一致的LULC系统，该系统适用于多个MSD框架，以支持区域层面的研究。利用经验推导的空间产品，我们开发了一系列30米分辨率的多个当代观测年份的基础地图，以支持LUH2、CLM和GCAM分类系统之间的灵活性和互换性。
