United States multi-sector land use and land cover base maps to support human and Earth system models
Abstract 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 Harmonizatio...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04713-6 |
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| author | Jay Oliver Ryan A. McManamay |
| author_facet | Jay Oliver Ryan A. McManamay |
| author_sort | Jay Oliver |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-b367e3d34b6e4f69b40673d2fa447e13 |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-b367e3d34b6e4f69b40673d2fa447e132025-08-20T02:51:23ZengNature PortfolioScientific Data2052-44632025-03-0112111710.1038/s41597-025-04713-6United States multi-sector land use and land cover base maps to support human and Earth system modelsJay Oliver0Ryan A. McManamay1Department of Environmental Science, Baylor UniversityDepartment of Environmental Science, Baylor UniversityAbstract 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.https://doi.org/10.1038/s41597-025-04713-6 |
| spellingShingle | Jay Oliver Ryan A. McManamay United States multi-sector land use and land cover base maps to support human and Earth system models Scientific Data |
| title | United States multi-sector land use and land cover base maps to support human and Earth system models |
| title_full | United States multi-sector land use and land cover base maps to support human and Earth system models |
| title_fullStr | United States multi-sector land use and land cover base maps to support human and Earth system models |
| title_full_unstemmed | United States multi-sector land use and land cover base maps to support human and Earth system models |
| title_short | United States multi-sector land use and land cover base maps to support human and Earth system models |
| title_sort | united states multi sector land use and land cover base maps to support human and earth system models |
| url | https://doi.org/10.1038/s41597-025-04713-6 |
| work_keys_str_mv | AT jayoliver unitedstatesmultisectorlanduseandlandcoverbasemapstosupporthumanandearthsystemmodels AT ryanamcmanamay unitedstatesmultisectorlanduseandlandcoverbasemapstosupporthumanandearthsystemmodels |