Reconstruction of global land use and land cover AD 800 to 1992

Project: Earth System Model Forcing and Verification - The project consolidates data entities which are suitable to force and/or to verify Earth system models. The archived data entities contain data and data products mainly from observations or reconstruction. The eVolv2k project is supported by th...

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Main Authors: Pongratz, Julia, Reick, Christian, Raddatz, Thomas, Claussen, Martin
Format: Dataset
Language:English
Published: World Data Center for Climate (WDCC) at DKRZ 2007
Subjects:
Online Access:https://dx.doi.org/10.1594/wdcc/recon_land_cover_800-1992
http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=RECON_LAND_COVER_800-1992
id ftdatacite:10.1594/wdcc/recon_land_cover_800-1992
record_format openpolar
spelling ftdatacite:10.1594/wdcc/recon_land_cover_800-1992 2023-05-15T13:43:47+02:00 Reconstruction of global land use and land cover AD 800 to 1992 Pongratz, Julia Reick, Christian Raddatz, Thomas Claussen, Martin 2007 application/x-netcdf https://dx.doi.org/10.1594/wdcc/recon_land_cover_800-1992 http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=RECON_LAND_COVER_800-1992 en eng World Data Center for Climate (WDCC) at DKRZ https://dx.doi.org/10.1029/1999gb001232 https://dx.doi.org/10.1029/1999gb900046 https://dx.doi.org/10.1029/2007gb003153 https://dx.doi.org/10.1890/1540-9295(2003)001[0038:gshtec]2.0.co;2 Open access data at least for academic use. Climate ESM_Forcing_and_Verification historic land cover dataset Dataset Digital 2007 ftdatacite https://doi.org/10.1594/wdcc/recon_land_cover_800-1992 https://doi.org/10.1029/1999gb001232 https://doi.org/10.1029/1999gb900046 https://doi.org/10.1029/2007gb003153 https://doi.org/10.1890/1540-9295(2003)001[0038:gshtec]2.0.co;2 2021-11-05T12:55:41Z Project: Earth System Model Forcing and Verification - The project consolidates data entities which are suitable to force and/or to verify Earth system models. The archived data entities contain data and data products mainly from observations or reconstruction. The eVolv2k project is supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme “Antarctic Research with comparative investigations in Arctic ice areas” through grant TO 967/1-1. Summary: This dataset contains reconstructions of land use and land cover from AD 800 to 1992 in global coverage at 30 minute resolution. After AD 1700, the data is based on Ramankutty and Foley (1999), Foley et al. (2003) and Klein Goldewijk (2001); for earlier times, land use is estimated with a country-based method that uses national population data (McEvedy and Jones, 1978) as a proxy for agricultural activity. For each year, a map is provided that contains 14 fields. Each field holds the fraction the respective vegetation type covers in the total grid cell (0-1). The vegetation types comprise three human land use types (crop, C3 pasture and C4 pasture) and 11 natural vegetation types (based on the potential vegetation map of Ramankutty and Foley, 1999). For the time period prior to AD 1700 two additional land cover scenarios are provided (scenmin and scenmax). They quantify the uncertainties associated with this approach, through technological progress in agriculture and uncertainties in population estimates. The additional datasets combine the known uncertainties in a way to give the most extreme range for possible estimates of land use area for each year before 1700. The datasets thus do not represent consistent time series of plausible alternative scenarios, but indicate, for each year, a maximum range outside which estimates of land use area are unrealistic. See citations and references for details. Vegetation types: 1 Tropical evergreen forest 2 Tropical deciduous forest 3 Temperate evergreen broadleaf forest 4 Temperate/boreal deciduous broadleaf forest 5 Temperate/boreal evergreen conifers 6 Temperate/boreal deciduous conifers 7 Raingreen shrubs 8 Summergreen shrubs 9 C3 natural grasses 10 C4 natural grasses 11 Tundra 12 Crop 13 C3 pasture 14 C4 pasture Dataset Antarc* Antarctic Arctic Tundra DataCite Metadata Store (German National Library of Science and Technology) Antarctic Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Climate
ESM_Forcing_and_Verification
historic land cover
spellingShingle Climate
ESM_Forcing_and_Verification
historic land cover
Pongratz, Julia
Reick, Christian
Raddatz, Thomas
Claussen, Martin
Reconstruction of global land use and land cover AD 800 to 1992
topic_facet Climate
ESM_Forcing_and_Verification
historic land cover
description Project: Earth System Model Forcing and Verification - The project consolidates data entities which are suitable to force and/or to verify Earth system models. The archived data entities contain data and data products mainly from observations or reconstruction. The eVolv2k project is supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme “Antarctic Research with comparative investigations in Arctic ice areas” through grant TO 967/1-1. Summary: This dataset contains reconstructions of land use and land cover from AD 800 to 1992 in global coverage at 30 minute resolution. After AD 1700, the data is based on Ramankutty and Foley (1999), Foley et al. (2003) and Klein Goldewijk (2001); for earlier times, land use is estimated with a country-based method that uses national population data (McEvedy and Jones, 1978) as a proxy for agricultural activity. For each year, a map is provided that contains 14 fields. Each field holds the fraction the respective vegetation type covers in the total grid cell (0-1). The vegetation types comprise three human land use types (crop, C3 pasture and C4 pasture) and 11 natural vegetation types (based on the potential vegetation map of Ramankutty and Foley, 1999). For the time period prior to AD 1700 two additional land cover scenarios are provided (scenmin and scenmax). They quantify the uncertainties associated with this approach, through technological progress in agriculture and uncertainties in population estimates. The additional datasets combine the known uncertainties in a way to give the most extreme range for possible estimates of land use area for each year before 1700. The datasets thus do not represent consistent time series of plausible alternative scenarios, but indicate, for each year, a maximum range outside which estimates of land use area are unrealistic. See citations and references for details. Vegetation types: 1 Tropical evergreen forest 2 Tropical deciduous forest 3 Temperate evergreen broadleaf forest 4 Temperate/boreal deciduous broadleaf forest 5 Temperate/boreal evergreen conifers 6 Temperate/boreal deciduous conifers 7 Raingreen shrubs 8 Summergreen shrubs 9 C3 natural grasses 10 C4 natural grasses 11 Tundra 12 Crop 13 C3 pasture 14 C4 pasture
format Dataset
author Pongratz, Julia
Reick, Christian
Raddatz, Thomas
Claussen, Martin
author_facet Pongratz, Julia
Reick, Christian
Raddatz, Thomas
Claussen, Martin
author_sort Pongratz, Julia
title Reconstruction of global land use and land cover AD 800 to 1992
title_short Reconstruction of global land use and land cover AD 800 to 1992
title_full Reconstruction of global land use and land cover AD 800 to 1992
title_fullStr Reconstruction of global land use and land cover AD 800 to 1992
title_full_unstemmed Reconstruction of global land use and land cover AD 800 to 1992
title_sort reconstruction of global land use and land cover ad 800 to 1992
publisher World Data Center for Climate (WDCC) at DKRZ
publishDate 2007
url https://dx.doi.org/10.1594/wdcc/recon_land_cover_800-1992
http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=RECON_LAND_COVER_800-1992
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
genre Antarc*
Antarctic
Arctic
Tundra
genre_facet Antarc*
Antarctic
Arctic
Tundra
op_relation https://dx.doi.org/10.1029/1999gb001232
https://dx.doi.org/10.1029/1999gb900046
https://dx.doi.org/10.1029/2007gb003153
https://dx.doi.org/10.1890/1540-9295(2003)001[0038:gshtec]2.0.co;2
op_rights Open access data at least for academic use.
op_doi https://doi.org/10.1594/wdcc/recon_land_cover_800-1992
https://doi.org/10.1029/1999gb001232
https://doi.org/10.1029/1999gb900046
https://doi.org/10.1029/2007gb003153
https://doi.org/10.1890/1540-9295(2003)001[0038:gshtec]2.0.co;2
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