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L <- lipdR::readLipd("https://lipdverse.org/data/nKM7gKd5MEk3rVGc0XgO/1_0_6/LS13WASU.lpd")
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In compilations: (only most recent versions are shown)
iso2k-1_1_1
archiveType: LakeSediment
originalDataUrl: this compilation
lipdVersion: 1.3
author: Wang, Z. , Liu, W. , Liu, Z. , Wang, H. , He, Y. , Zhang, F.
journal: The Holocene
volume: 23
title: A 1700-year n-alkanes hydrogen isotope record of moisture changes in sediments from Lake Sugan in the Qaidam Basin, northeastern Tibetan Plateau
doi: 10.1177/0959683613486941
latitude: 38.8667
longitude: 93.95
elevation: 2800
siteName: Lake Sugan
TSid: MAT7cbe87ad3a
variableName: year
units: yr AD
description: Year AD
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
TSid: MAT0bb768872a
variableName: depth
units: cm
description: depth
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
TSid: LS13WASU01B
variableName: d2H
units: permil
description: terrestrial biomarker
basis: The effective moisture (ratio of precipitation to evaporation) is considered as the main factor controlling the ?D values of lipid n-alkanes in terrestrial plants (Polissar and Freeman, 2010). In a previous study, the ?D record from a loess profile in the Chinese Loess Plateau displayed a strong correlation to changes in the magnetic susceptibility (MS) over the past 130 ka, and the isoto- pic variation was thought to be strongly affected by aridity (Liu and Huang, 2005). Furthermore, a humidity control experiment in the field verified the correlation between D enrichment and rela- tive humidity (McInerney et al., 2011). A study of lipids from the Santa Barbara Basin from the past 1400 years also revealed the ?D of mid-chain acids to be partially correlated with existing data of drought severity (Li et al., 2011).
direction: increase
interpDirection: increase
scope: climate
seasonality: Growing Season
variable: effectivePrecipitation
variableDetail: air@surface
variableDetailOriginal: air
variableGroup: P/E
scope: climate
scope: climate
basis: Variation in vegetation type (shrubs and grass) is the main factor influencing the [d2H of leaf waxes in] sediments of Lake Sugan, because of the dD values of Chenopodiceae shrubs are higher than those of grasses. We can still discuss the moisture history using the hydrogen-isotope record, because the vegetation type would be consistent with hydrological condition. [i.e., Chenopodiaceae shrubs tend to be more abundant in dry climates, and Chenopodiaceae shrubs have a smaller apparent fractionation, so dry climates would not only cause greater evaporative enrichment of plant source water, but more leaf waxes with relatively enriched d2H would be produced by Chenopodiaceae shrubs.] In the arid area of western China, vegetation type is controlled by moisture changes (Wu, 2011). The authors conclude that variations in vegetation type (shrub or grass), which are caused by moisture changes, are the main factor controlling the δD records in the study area.
direction: negative
inferredMaterial: soil water
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: deleteMe
variable: effectivePrecipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: P_E
basis: The effective moisture (ratio of precipitation to evaporation) is considered as the main factor controlling the ?D values of lipid n-alkanes in terrestrial plants (Polissar and Freeman, 2010). In a previous study, the ?D record from a loess profile in the Chinese Loess Plateau displayed a strong correlation to changes in the magnetic susceptibility (MS) over the past 130 ka, and the isoto- pic variation was thought to be strongly affected by aridity (Liu and Huang, 2005). Furthermore, a humidity control experiment in the field verified the correlation between D enrichment and relative humidity (McInerney et al., 2011). A study of lipids from the Santa Barbara Basin from the past 1400 years also revealed the dD of mid-chain acids to be partially correlated with existing data of drought severity (Li et al., 2011).
direction: negative
mathematicalRelation: linear
rank: 2
scope: isotope
seasonality: deleteMe
variable: effectivePrecipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: P_E
scope: isotope
TSid: LS13WASU01A
variableName: d2H
units: permil
description: terrestrial biomarker
basis: The effective moisture (ratio of precipitation to evaporation) is considered as the main factor controlling the ?D values of lipid n-alkanes in terrestrial plants (Polissar and Freeman, 2010). In a previous study, the ?D record from a loess profile in the Chinese Loess Plateau displayed a strong correlation to changes in the magnetic susceptibility (MS) over the past 130 ka, and the isoto- pic variation was thought to be strongly affected by aridity (Liu and Huang, 2005). Furthermore, a humidity control experiment in the field verified the correlation between D enrichment and rela- tive humidity (McInerney et al., 2011). A study of lipids from the Santa Barbara Basin from the past 1400 years also revealed the ?D of mid-chain acids to be partially correlated with existing data of drought severity (Li et al., 2011).
interpDirection: increase
scope: climate
seasonality: Growing Season
variable: effectivePrecipitation
variableDetail: air@surface
variableDetailOriginal: air
variableGroup: P/E
scope: climate
scope: climate
basis: Variation in vegetation type (shrubs and grass) is the main factor influencing the [d2H of leaf waxes in] sediments of Lake Sugan, because of the dD values of Chenopodiceae shrubs are higher than those of grasses. We can still discuss the moisture history using the hydrogen-isotope record, because the vegetation type would be consistent with hydrological condition. [i.e., Chenopodiaceae shrubs tend to be more abundant in dry climates, and Chenopodiaceae shrubs have a smaller apparent fractionation, so dry climates would not only cause greater evaporative enrichment of plant source water, but more leaf waxes with relatively enriched d2H would be produced by Chenopodiaceae shrubs.] In the arid area of western China, vegetation type is controlled by moisture changes (Wu, 2011). The authors conclude that variations in vegetation type (shrub or grass), which are caused by moisture changes, are the main factor controlling the δD records in the study area.
direction: negative
inferredMaterial: soil water
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: deleteMe
variable: effectivePrecipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: P_E
basis: The effective moisture (ratio of precipitation to evaporation) is considered as the main factor controlling the dD values of lipid n-alkanes in terrestrial plants (Polissar and Freeman, 2010). In a previous study, the dD record from a loess profile in the Chinese Loess Plateau displayed a strong correlation to changes in the magnetic susceptibility (MS) over the past 130 ka, and the isoto- pic variation was thought to be strongly affected by aridity (Liu and Huang, 2005). Furthermore, a humidity control experiment in the field verified the correlation between D enrichment and relative humidity (McInerney et al., 2011). A study of lipids from the Santa Barbara Basin from the past 1400 years also revealed the dD of mid-chain acids to be partially correlated with existing data of drought severity (Li et al., 2011).
direction: negative
mathematicalRelation: linear
rank: 2
scope: isotope
seasonality: deleteMe
variable: effectivePrecipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: P_E
scope: isotope
TSid: chron1
variableName: depth
units: cm
description: mid-point depth
TSid: chron2
variableName: age14C
units: yr14C BP
description: 14C years before 1950
TSid: chron3
variableName: age14Cuncertainty
units: yr14C BP
description: 14C years uncertainty
TSid: RWPg6tnfuWRN0TKRi
variableName: age
units: yr14C BP
TSid: Rz6BsJ6IcsPAs3tbW
variableName: SD-1
units: yr14C BP
TSid: chron4
variableName: fractionModern
description: fraction of modern 14C activity
TSid: chron5
variableName: fractionModernUncertainty
description: fraction of modern 14C activity uncertainty
TSid: chron6
variableName: delta13C
units: permil
description: delta13C of material analyzed for 14C
TSid: chron7
variableName: delta13Cuncertainty
units: permil
description: delta13C uncertainty
TSid: chron8
variableName: thickness
units: cm
description: thickness of sample (along depth axis)
TSid: chron9
variableName: labID
description: laboratory ID from radiocarbon facility
TSid: chron10
variableName: materialDated
description: material analyzed
TSid: chron11
variableName: activity
units: Bq g-1
description: 210Pb, 239+240Pu or 137Cs activity
TSid: chron12
variableName: activityUncertainty
units: Bq g-1
description: 210Pb, 239+240Pu or 137Cs activity uncertainty
TSid: chron13
variableName: supportedActivity
description: Y if supported 210Pb activity, N if unsupported 210Pb activity
TSid: chron17
variableName: reservoirAge14C
units: yr14C BP
description: 14C reservoir age
TSid: chron18
variableName: reservoirAge14CUncertainty
units: yr14C BP
description: 14C reservoir age uncertainty
TSid: chron19
variableName: useInAgeModel
description: was this date used in the age model?
root
pub
pub1
geo
PaleoData columns
year (yr AD)
interpretation
1
2
3
4
depth (cm)
interpretation
1
2
3
4
d2H (permil)
interpretation
1
2
3
4
5
6
d2H (permil)
interpretation
1
2
3
4
5
6
ChronData columns
depth (cm) [1-1]
age14C (yr14C BP) [1-1]
age14Cuncertainty (yr14C BP) [1-1]
age (yr14C BP) [1-1]
SD-1 (yr14C BP) [1-1]
fractionModern () [2-1]
fractionModernUncertainty () [2-1]
delta13C (permil) [2-1]
delta13Cuncertainty (permil) [2-1]
thickness (cm) [2-1]
labID () [2-1]
materialDated () [2-1]
activity (Bq g-1) [2-1]
activityUncertainty (Bq g-1) [2-1]
supportedActivity () [2-1]
reservoirAge14C (yr14C BP) [2-1]
reservoirAge14CUncertainty (yr14C BP) [2-1]
useInAgeModel () [2-1]