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Article: Comparison between reconstructions of global anthropogenic land cover change over past two millennia

TitleComparison between reconstructions of global anthropogenic land cover change over past two millennia
Authors
Keywordsanthropogenic land cover change (ALCC)
vegetation type
spatial pattern
last two millennia
global dataset
Issue Date2013
Citation
Chinese Geographical Science, 2013, v. 23, n. 2, p. 131-146 How to Cite?
AbstractThree global datasets, the History Database of the Global Environment (HYDE), Kaplan and Krumhardt (KK) and Pongratz of reconstructed anthropogenic land cover change (ALCC) were introduced and compared in this paper. The HYDE dataset was reconstructed by Goldewijk and his colleagues at the National Institute of Public Health and the Environment in Netherland, covering the past 12 000 years. The KK dataset was reconstructed by Kaplan and his colleagues, the Soil-Vegetation-Atmosphere Research Group at the Institute of Environmental Engineering in Switzerland, covering the past 8000 years. The Pongratz dataset was reconstructed by Pongratz and her colleagues at the Max Planck Institute for Meteorology in Germany, covering AD 800-1992. The results show that the reconstructed datasets are quite different from each other due to the different methods used. The three datasets all allocated the historical ALCC according to human population density. The main reason causing the differences among the three datasets lies on the different relationships between population density and land use used in each reconstructed dataset. The KK dataset is better than the other two datasets for two important reasons. First, it used the nonlinear relationship between population density and land use, while the other two used the linear relationship. Second, Kaplan and his colleagues adopted the technological development and intensification parameters and considered the wood harvesting and the long-term fallow area resulted from shifting cultivation, which were neglected in the reconstructions of the other two datasets. Therefore, the KK dataset is more suitable as one of the anthropogenic forcing fields for climate simulation over the past two millennia that is recently concerned by two projects, the National Basic Research Program and the Strategic and Special Frontier Project of Science and Technology of the Chinese Academy of Sciences. © 2013 Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/268541
ISSN
2023 Impact Factor: 3.4
2023 SCImago Journal Rankings: 0.774
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYan, Mi-
dc.contributor.authorWang, Zhiyuan-
dc.contributor.authorKaplan, Jed Oliver-
dc.contributor.authorLiu, Jian-
dc.contributor.authorMin, Shen-
dc.contributor.authorWang, Sumin-
dc.date.accessioned2019-03-25T08:00:00Z-
dc.date.available2019-03-25T08:00:00Z-
dc.date.issued2013-
dc.identifier.citationChinese Geographical Science, 2013, v. 23, n. 2, p. 131-146-
dc.identifier.issn1002-0063-
dc.identifier.urihttp://hdl.handle.net/10722/268541-
dc.description.abstractThree global datasets, the History Database of the Global Environment (HYDE), Kaplan and Krumhardt (KK) and Pongratz of reconstructed anthropogenic land cover change (ALCC) were introduced and compared in this paper. The HYDE dataset was reconstructed by Goldewijk and his colleagues at the National Institute of Public Health and the Environment in Netherland, covering the past 12 000 years. The KK dataset was reconstructed by Kaplan and his colleagues, the Soil-Vegetation-Atmosphere Research Group at the Institute of Environmental Engineering in Switzerland, covering the past 8000 years. The Pongratz dataset was reconstructed by Pongratz and her colleagues at the Max Planck Institute for Meteorology in Germany, covering AD 800-1992. The results show that the reconstructed datasets are quite different from each other due to the different methods used. The three datasets all allocated the historical ALCC according to human population density. The main reason causing the differences among the three datasets lies on the different relationships between population density and land use used in each reconstructed dataset. The KK dataset is better than the other two datasets for two important reasons. First, it used the nonlinear relationship between population density and land use, while the other two used the linear relationship. Second, Kaplan and his colleagues adopted the technological development and intensification parameters and considered the wood harvesting and the long-term fallow area resulted from shifting cultivation, which were neglected in the reconstructions of the other two datasets. Therefore, the KK dataset is more suitable as one of the anthropogenic forcing fields for climate simulation over the past two millennia that is recently concerned by two projects, the National Basic Research Program and the Strategic and Special Frontier Project of Science and Technology of the Chinese Academy of Sciences. © 2013 Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg.-
dc.languageeng-
dc.relation.ispartofChinese Geographical Science-
dc.subjectanthropogenic land cover change (ALCC)-
dc.subjectvegetation type-
dc.subjectspatial pattern-
dc.subjectlast two millennia-
dc.subjectglobal dataset-
dc.titleComparison between reconstructions of global anthropogenic land cover change over past two millennia-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11769-013-0596-7-
dc.identifier.scopuseid_2-s2.0-84880528556-
dc.identifier.volume23-
dc.identifier.issue2-
dc.identifier.spage131-
dc.identifier.epage146-
dc.identifier.eissn1993-064X-
dc.identifier.isiWOS:000318565000001-
dc.identifier.issnl1002-0063-

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