Continental Land Use Change scenarios and stylized fuel management scenarios
收藏DataCite Commons2025-07-03 更新2025-04-09 收录
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https://dataverse.nl/citation?persistentId=doi:10.34894/ALZTYS
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Historic baseline data was provided via the HILDA+ dataset, which combines several open data streams to estimate land use change (LUC). The future land use scenarios were simulated using CLUMondo, a spatially explicit and dynamic land system change model. We adopted Shared Socioeconomic Pathways (SSP) 1 (“Sustainability”) and SSP3 (“Regional rivalry”) to explore the effects on land use of divergent developmental paths for Europe. While the time series developed is based on a 1-km resolution, we made a conversion in aggregating the data to a 9-km resolution and an aggregated land cover class legend to match that used natively in the DGVMs. (2022-09-16)
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DataverseNL
创建时间:
2022-09-19



