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L <- lipdR::readLipd("https://lipdverse.org/data/sRxx5jmG6LPanUEN2hLr/1_0_5/LS15AIKA.lpd")Report an issue (include datasetId and version)
In compilations: (only most recent versions are shown)
iso2k-1_1_1
archiveType: LakeSediment
originalDataUrl: https://www.ncdc.noaa.gov/paleo/study/20166
lipdVersion: 1.3
dataContributor: NEED TO ENTER METADATA
author: Aichner, B. , Feakins, S. J. , Lee, J. E. , Herzschuh, U. , Liu, X.
journal: Climate of the Past
volume: 11
pages: 619633
title: Highresolution leaf wax carbon and hydrogen isotopic record of the late Holocene paleoclimate in arid Central Asia
doi: 10.5194/cp-11-619-2015
latitude: 38.4397
longitude: 75.0572
elevation: 3650
siteName: Lake Karakuli
TSid: MAT3be8633483
variableName: year
units: yr AD
description: Year AD
rank: NA
scope: climate
TSid: MATa27c44c8f8
variableName: depth
units: cm
description: depth
rank: NA
scope: climate
TSid: LS15AIKA01B
variableName: d2H
units: permil
description: terrestrial biomarker
basis: Since temperature and precipitation amounts are anticor- related on an interannual timescale (Fig. 5), we interpret low ?D values to indicate both relatively cool and wet conditions. In addition to fluctuations in mean annual precipitation iso- topes, snowmelt and delivery to plants may vary. We suggest that a high proportional contribution of water derived from snowmelt, after relatively long and wet winters with high amounts of snowfall, can further lead to more negative ?D leaf wax values.
direction: Temp: increase, Precipitation: decrease
interpDirection: Temp: increase, Precipitation: decrease
scope: climate
seasonality: Growing Season
variable: temperature
variableDetail: air@surface
variableDetailOriginal: air
variableGroup: Temperature and Precipitation amount
scope: climate
scope: climate
basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.
direction: positive
inferredMaterial: soil water
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: precipitationIsotope
variableGroup: P_isotope
variableGroupDirection: positive
basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of winter snowmelt (relative to total water used by plants) would result in lower deltaD values.
direction: negative
inferredMaterial: soil water
mathematicalRelation: linear
rank: 2
scope: isotope
seasonality: Winter
variable: precipitation
variableGroup: winter snow melting during growing season
basis: This amount effect lowers the summer precipitation isotopic com- position, dampens the seasonality of the mean precipitation of isotopic values and lowers the integrated annual precip- itation isotopic composition. Hence, in drier years average ?D values will be D-enriched relative to wetter years, and likewise warmer years will be D-enriched relative to colder years (Fig. 4b). Given the low precipitation amounts in this arid region today, the amount effect is likely to remain sec-ondary to the temperature controls on isotopic composition apparent in the seasonal cycle.
direction: negative
inferredMaterial: soil water
mathematicalRelation: linear
rank: 3
scope: isotope
seasonality: Summer
variable: precipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: precipitation amount
TSid: LS15AIKA01A2
variableName: d2H
units: unitless
description: terrestrial biomarker
basis: Since temperature and precipitation amounts are anticor- related on an interannual timescale (Fig. 5), we interpret low ?D values to indicate both relatively cool and wet conditions. In addition to fluctuations in mean annual precipitation iso- topes, snowmelt and delivery to plants may vary. We suggest that a high proportional contribution of water derived from snowmelt, after relatively long and wet winters with high amounts of snowfall, can further lead to more negative ?D leaf wax values.
direction: Temp: increase, Precipitation: decrease
scope: climate
seasonality: Growing Season
variable: temperature
variableDetail: air@surface
variableDetailOriginal: air
variableGroup: Temperature and Precipitation amount
scope: climate
scope: climate
basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.
direction: positive
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: precipitationIsotope
variableGroup: P_isotope
variableGroupDirection: positive
basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of winter snowmelt (relative to total water used by plants) would result in lower deltaD values.
direction: negative
mathematicalRelation: linear
rank: 2
scope: isotope
seasonality: Winter
variable: precipitation
variableGroup: winter snow melting during growing season
basis: This amount effect lowers the summer precipitation isotopic com- position, dampens the seasonality of the mean precipitation of isotopic values and lowers the integrated annual precip- itation isotopic composition. Hence, in drier years average ?D values will be D-enriched relative to wetter years, and likewise warmer years will be D-enriched relative to colder years (Fig. 4b). Given the low precipitation amounts in this arid region today, the amount effect is likely to remain sec-ondary to the temperature controls on isotopic composition apparent in the seasonal cycle.
direction: negative
mathematicalRelation: linear
rank: 3
scope: isotope
seasonality: Summer
variable: precipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: precipitation amount
TSid: NPM147147
variableName: uncertainty1s
units: permil
description: stdev of d2H measurements
rank: NA
scope: climate
scope: climate
scope: climate
scope: isotope
scope: isotope
scope: isotope
TSid: NPM147147a
variableName: uncertainty1s
units: permil
description: stdev of d2H measurements
rank: NA
scope: climate
scope: climate
scope: climate
scope: isotope
scope: isotope
scope: isotope
TSid: NPM147147b
variableName: uncertainty1s
units: permil
description: stdev of d2H measurements
rank: NA
scope: climate
scope: climate
scope: climate
scope: isotope
scope: isotope
scope: isotope
TSid: NPM147147c
variableName: deleteThisColumn
units: permil
description: mean of long chain compound d2H
rank: NA
scope: climate
scope: climate
scope: climate
scope: isotope
scope: isotope
scope: isotope
TSid: NPM147147d
variableName: uncertainty1s
units: permil
description: mean of long chain compound d2H
rank: NA
scope: climate
scope: climate
scope: climate
scope: isotope
scope: isotope
scope: isotope
TSid: LS15AIKA01A1
variableName: d2H
units: unitless
description: terrestrial biomarker
rank: NA
scope: climate
scope: climate
scope: climate
scope: isotope
scope: isotope
scope: isotope
TSid: chron1
variableName: depth
units: cm
description: midpoint depth
TSid: chron2
variableName: age14C
units: yr14C BP
description: 14C years before 1950
TSid: chron3
variableName: SD
units: yr14C BP
description: 14C years uncertainty
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 g1
description: 210Pb, 239+240Pu or 137Cs activity
TSid: chron12
variableName: activityUncertainty
units: Bq g1
description: 210Pb, 239+240Pu or 137Cs activity uncertainty
TSid: chron13
variableName: supportedActivity
description: Y if supported 210Pb activity, N if unsupported 210Pb activity
TSid: chron14
variableName: x210PbModel
description: model used to convert 210Pb activity to age (e.g., constant rate of supply)
TSid: chron15
variableName: age
units: yr BP
description: years before 1950 (calibrated age, or ages that dont need calibration)
TSid: chron16
variableName: SD
units: yr BP
description: uncertainty in age
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 modelpermil
root
pub
pub1
geo
PaleoData columns
year (yr AD)
interpretation
1
depth (cm)
interpretation
1
d2H (permil)
interpretation
1
2
3
4
5
6
d2H (unitless)
interpretation
1
2
3
4
5
6
uncertainty1s (permil)
interpretation
1
2
3
4
5
6
uncertainty1s (permil)
interpretation
1
2
3
4
5
6
uncertainty1s (permil)
interpretation
1
2
3
4
5
6
deleteThisColumn (permil)
interpretation
1
2
3
4
5
6
uncertainty1s (permil)
interpretation
1
2
3
4
5
6
d2H (unitless)
interpretation
1
2
3
4
5
6
ChronData columns
depth (cm)
age14C (yr14C BP)
SD (yr14C BP)
fractionModern ()
fractionModernUncertainty ()
delta13C (permil)
delta13Cuncertainty (permil)
thickness (cm)
labID ()
materialDated ()
activity (Bq g1)
activityUncertainty (Bq g1)
supportedActivity ()
x210PbModel ()
age (yr BP)
SD (yr BP)
reservoirAge14C (yr14C BP)
reservoirAge14CUncertainty (yr14C BP)
useInAgeModel ()