Examining bias in pollen-based quantitative climate reconstructions induced by human impact on veget...
Examining bias in pollen-based quantitative climate reconstructions induced by human impact on vegetation in China
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Katlenburg-Lindau: Copernicus GmbH
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English
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Katlenburg-Lindau: Copernicus GmbH
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Contents
Human impact is a well-known confounder in pollen-based quantitative climate reconstructions as most terrestrial ecosystems have been artificially affected to varying degrees. In this paper, we use a human-induced pollen dataset (H-set) and a corresponding natural pollen dataset (N-set) to establish pollen–climate calibration sets for temperate eas...
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Full title
Examining bias in pollen-based quantitative climate reconstructions induced by human impact on vegetation in China
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TN_cdi_doaj_primary_oai_doaj_org_article_ac843abab1c045c6b467cb460b586009
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ac843abab1c045c6b467cb460b586009
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ISSN
1814-9332,1814-9324
E-ISSN
1814-9332
DOI
10.5194/cp-13-1285-2017
