LS13WASU - v1.0.6

Dataset Id: nKM7gKd5MEk3rVGc0XgO

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R code to load dataset:

L <- lipdR::readLipd("https://lipdverse.org/data/nKM7gKd5MEk3rVGc0XgO/1_0_6/LS13WASU.lpd")

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Dataset changelog

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In compilations: (only most recent versions are shown)

iso2k-1_1_1

root

archiveType: LakeSediment

originalDataUrl: this compilation

lipdVersion: 1.3

pub
pub1

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

geo

latitude: 38.8667

longitude: 93.95

elevation: 2800

siteName: Lake Sugan

PaleoData columns
year (yr AD)

TSid: MAT7cbe87ad3a

variableName: year

units: yr AD

description: Year AD

interpretation
1

rank: NA

scope: climate

2

rank: NA

scope: climate

3

rank: NA

scope: climate

4

rank: NA

scope: climate

depth (cm)

TSid: MAT0bb768872a

variableName: depth

units: cm

description: depth

interpretation
1

rank: NA

scope: climate

2

rank: NA

scope: climate

3

rank: NA

scope: climate

4

rank: NA

scope: climate

d2H (permil)

TSid: LS13WASU01B

variableName: d2H

units: permil

description: terrestrial biomarker

interpretation
1

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

2

scope: climate

3

scope: climate

4

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

5

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

6

scope: isotope

d2H (permil)

TSid: LS13WASU01A

variableName: d2H

units: permil

description: terrestrial biomarker

interpretation
1

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

2

scope: climate

3

scope: climate

4

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

5

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

6

scope: isotope

ChronData columns
depth (cm) [1-1]

TSid: chron1

variableName: depth

units: cm

description: mid-point depth

age14C (yr14C BP) [1-1]

TSid: chron2

variableName: age14C

units: yr14C BP

description: 14C years before 1950

age14Cuncertainty (yr14C BP) [1-1]

TSid: chron3

variableName: age14Cuncertainty

units: yr14C BP

description: 14C years uncertainty

age (yr14C BP) [1-1]

TSid: RWPg6tnfuWRN0TKRi

variableName: age

units: yr14C BP

SD-1 (yr14C BP) [1-1]

TSid: Rz6BsJ6IcsPAs3tbW

variableName: SD-1

units: yr14C BP

fractionModern () [2-1]

TSid: chron4

variableName: fractionModern

description: fraction of modern 14C activity

fractionModernUncertainty () [2-1]

TSid: chron5

variableName: fractionModernUncertainty

description: fraction of modern 14C activity uncertainty

delta13C (permil) [2-1]

TSid: chron6

variableName: delta13C

units: permil

description: delta13C of material analyzed for 14C

delta13Cuncertainty (permil) [2-1]

TSid: chron7

variableName: delta13Cuncertainty

units: permil

description: delta13C uncertainty

thickness (cm) [2-1]

TSid: chron8

variableName: thickness

units: cm

description: thickness of sample (along depth axis)

labID () [2-1]

TSid: chron9

variableName: labID

description: laboratory ID from radiocarbon facility

materialDated () [2-1]

TSid: chron10

variableName: materialDated

description: material analyzed

activity (Bq g-1) [2-1]

TSid: chron11

variableName: activity

units: Bq g-1

description: 210Pb, 239+240Pu or 137Cs activity

activityUncertainty (Bq g-1) [2-1]

TSid: chron12

variableName: activityUncertainty

units: Bq g-1

description: 210Pb, 239+240Pu or 137Cs activity uncertainty

supportedActivity () [2-1]

TSid: chron13

variableName: supportedActivity

description: Y if supported 210Pb activity, N if unsupported 210Pb activity

reservoirAge14C (yr14C BP) [2-1]

TSid: chron17

variableName: reservoirAge14C

units: yr14C BP

description: 14C reservoir age

reservoirAge14CUncertainty (yr14C BP) [2-1]

TSid: chron18

variableName: reservoirAge14CUncertainty

units: yr14C BP

description: 14C reservoir age uncertainty

useInAgeModel () [2-1]

TSid: chron19

variableName: useInAgeModel

description: was this date used in the age model?