NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized
"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality
NA; paleoData_summaryStatistic has been standardized; paleoData_inferredMaterial has been standardized
Human Influence Index (mean HII of 5 best analogues_N-set)
Human Influence Index (mean HII of 5 best analogues_H-set)
NA; paleoData_measurementMaterial has been standardized
precipitation (WEBbc36fb7b): interpretation1_variableDetail: 'precipitation@surface' has been replaced by 'amount@surface'
precipitation (WEBbc36fb7b): paleoData_notes: '((( ((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'
precipitation (WEBbc36fb7b): paleoData_notes: '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '((( ((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'
precipitation (WEBbc36fb7b): paleoData_QCCertification: '' has been replaced by 'CR'
precipitation (WEBbc36fb7b): paleoData_QCnotes: '' has been replaced by '*'
precipitation (WEBbc36fb7b): paleoData_notes: '((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'
precipitation (WEBbc36fb7b): paleoData_proxyGeneral: 'pollen' has been replaced by 'floral assemblage'
precipitation (WEBbc36fb7b): paleoData_notes: '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'
Updated lipdverse database entry with a changed file.
geo_elevation: '' has been replaced by '1846'
needsToBeChanged (WEB19cb2072): paleoData_variableName: 'HII (H-set)' has been replaced by 'needsToBeChanged'
totalPollen (WEB42a9208d): paleoData_notes: '' has been replaced by 'NA; paleoData_measurementMaterial has been standardized'
totalPollen (WEB42a9208d): paleoData_variableName: 'TreePollen' has been replaced by 'totalPollen'
totalPollen (WEB42a9208d): paleoData_measurementMaterial: '' has been replaced by 'tree polen'
needsToBeChanged (WEB4f8ba0e7): paleoData_variableName: 'HII std (N-set)' has been replaced by 'needsToBeChanged'
uncertainty1s (WEB5276ebcb): paleoData_notes: '' has been replaced by 'NA; paleoData_summaryStatistic has been standardized; paleoData_inferredMaterial has been standardized'
uncertainty1s (WEB5276ebcb): paleoData_variableName: 'precipitation std' has been replaced by 'uncertainty1s'
uncertainty1s (WEB5276ebcb): paleoData_inferredMaterial: '' has been replaced by 'precipitation'
uncertainty1s (WEB5276ebcb): paleoData_summaryStatistic: '' has been replaced by '1 sigma'
uncertainty1s (WEB6c322fcf): paleoData_notes: '' has been replaced by 'NA; paleoData_summaryStatistic has been standardized; paleoData_inferredMaterial has been standardized'
uncertainty1s (WEB6c322fcf): paleoData_variableName: 'precipitation std (with H-set)' has been replaced by 'uncertainty1s'
uncertainty1s (WEB6c322fcf): paleoData_inferredMaterial: '' has been replaced by 'precipitation'
uncertainty1s (WEB6c322fcf): paleoData_summaryStatistic: '' has been replaced by '1 sigma'
needsToBeChanged (WEB75e23ac4): paleoData_variableName: 'HII std (H-set)' has been replaced by 'needsToBeChanged'
needsToBeChanged (WEB930d988d): paleoData_variableName: 'HII (N-set)' has been replaced by 'needsToBeChanged'
precipitation (WEB9341a103): paleoData_units: 'mm/a' has been replaced by 'mm/yr'
precipitation (WEB9341a103): paleoData_variableName: 'precipitation (with H-set)' has been replaced by 'precipitation'
precipitation (WEBbc36fb7b): paleoData_units: 'mm/a' has been replaced by 'mm/yr'
age (WEBce5587ed): paleoData_datum: '' has been replaced by '1950'
age (WEBce5587ed): paleoData_notes: '' has been replaced by 'NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized'
age (WEBce5587ed): paleoData_units: 'BP' has been replaced by 'yr BP'
age (WEBce5587ed): paleoData_isPrimary: '' has been replaced by 'TRUE'
precipitation (WEBbc36fb7b): interpretation1_seasonality: '1,2,3,4,5,6,7,8,9,10,11,12' has been replaced by 'Annual'
precipitation (WEBbc36fb7b): interpretation1_variable: 'P' has been replaced by 'precipitation'
originalDataUrl: 'https://doi.pangaea.de/10.1594/PANGAEA.880993' has been replaced by 'https://doi.org/10.1594/PANGAEA.880993'
geo_elevation: '1846' has been replaced by ''
HII (H-set) (WEB19cb2072): interpretation1_scope: '' has been replaced by 'climate'
TreePollen (WEB42a9208d): interpretation1_scope: '' has been replaced by 'climate'
HII std (N-set) (WEB4f8ba0e7): interpretation1_scope: '' has been replaced by 'climate'
precipitation std (WEB5276ebcb): interpretation1_scope: '' has been replaced by 'climate'
precipitation std (with H-set) (WEB6c322fcf): interpretation1_scope: '' has been replaced by 'climate'
HII std (H-set) (WEB75e23ac4): interpretation1_scope: '' has been replaced by 'climate'
HII (N-set) (WEB930d988d): interpretation1_scope: '' has been replaced by 'climate'
precipitation (with H-set) (WEB9341a103): interpretation1_scope: '' has been replaced by 'climate'
HII (H-set) (WEB19cb2072): interpretation1_scope: 'climate' has been replaced by ''
TreePollen (WEB42a9208d): interpretation1_scope: 'climate' has been replaced by ''
HII std (N-set) (WEB4f8ba0e7): interpretation1_scope: 'climate' has been replaced by ''
precipitation std (WEB5276ebcb): interpretation1_scope: 'climate' has been replaced by ''
precipitation std (with H-set) (WEB6c322fcf): interpretation1_scope: 'climate' has been replaced by ''
HII std (H-set) (WEB75e23ac4): interpretation1_scope: 'climate' has been replaced by ''
HII (N-set) (WEB930d988d): interpretation1_scope: 'climate' has been replaced by ''
precipitation (with H-set) (WEB9341a103): interpretation1_scope: 'climate' has been replaced by ''
precipitation (WEBbc36fb7b): interpretation1_variableGroup: '' has been replaced by 'P'
TreePollen (WEB42a9208d): paleoData_units: '%' has been replaced by 'percent'
TreePollen (WEB42a9208d): paleoData_unitsOriginal: '' has been replaced by '%'
precipitation (WEBbc36fb7b): paleoData_proxyLumps: '' has been replaced by 'pollen'
age (WEBce5587ed): paleoData_units: 'yr BP' has been replaced by 'BP'
age (WEBce5587ed): paleoData_unitsOriginal: '' has been replaced by 'yr BP'
precipitation (WEBbc36fb7b): interpretation1_seasonality: 'Annual' has been replaced by '1,2,3,4,5,6,7,8,9,10,11,12'
precipitation (WEBbc36fb7b): interpretation1_seasonalityGeneral: '' has been replaced by 'Annual'
archiveType: 'Lake Sediment' has been replaced by 'LakeSediment'
originalDataUrl: '' has been replaced by 'https://doi.pangaea.de/10.1594/PANGAEA.880993'
geo_gcmdLocation: '' has been replaced by 'Asia>Eastern Asia>China'
precipitation (WEBbc36fb7b): interpretation1_variableDetail: '@surface' has been replaced by 'precipitation@surface'
precipitation (WEBbc36fb7b): paleoData_datum: '' has been replaced by 'abs'
precipitation (WEBbc36fb7b): paleoData_notes: '' has been replaced by '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'
precipitation (WEBbc36fb7b): paleoData_proxyDetail: '' has been replaced by 'pollen'
precipitation (WEBbc36fb7b): paleoData_proxyGeneral: '' has been replaced by 'pollen'
precipitation (WEBbc36fb7b): calibration_method: '' has been replaced by 'WA-PLS'
pub1_author: 'list(list(name = "Ding, Wei"), list(name = "Xu, Qinghai"), list(name = "Tarasov, Pavel E."))' has been replaced by 'Ding, Wei'
Examining bias in pollen-based quantitative climate reconstructions induced by human impact on vegetation in China
Abstract. 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 eastern China (TEC). The two calibration sets, taking a weighted averaging partial least squares (WA-PLS) approach, are used to reconstruct past climate variables from a fossil record, which is located at the margin of the East Asian summer monsoon in north-central China and covers the late glacial Holocene from 14.7 ka BP (thousands of years before AD 1950). Ordination results suggest that mean annual precipitation (Pann) is the main explanatory variable of both pollen composition and percentage distributions in both datasets. The Pann reconstructions, based on the two calibration sets, demonstrate consistently similar patterns and general trends, suggesting a relatively strong climate impact on the regional vegetation and pollen spectra. However, our results also indicate that the human impact may obscure climate signals derived from fossil pollen assemblages. In a test with modern climate and pollen data, the Pann influence on pollen distribution decreases in the H-set, while the human influence index (HII) rises. Moreover, the relatively strong human impact reduces woody pollen taxa abundances, particularly in the subhumid forested areas. Consequently, this shifts their model-inferred Pann optima to the arid end of the gradient compared to Pann tolerances in the natural dataset and further produces distinct deviations when the total tree pollen percentages are high (i.e. about 40 % for the Gonghai area) in the fossil sequence. In summary, the calibration set with human impact used in our experiment can produce a reliable general pattern of past climate, but the human impact on vegetation affects the pollen–climate relationship and biases the pollen-based climate reconstruction. The extent of human-induced bias may be rather small for the entire late glacial and early Holocene interval when we use a reference set called natural. Nevertheless, this potential bias should be kept in mind when conducting quantitative reconstructions, especially for the recent 2 or 3 millennia.