L <- lipdR::readLipd("https://lipdverse.org/data/3Z8BYQsh9EoNBsadmuUP/1_0_6/LS14FOTI.lpd")
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iso2k-1_1_2
archiveType: LakeSediment
lipdVersion: 1.3
author: list(name = "Fornace, Kyrstin L. , Hughen, Konrad A. , Shanahan, Timothy M. , Fritz, Sherilyn C. , Baker, Paul A. , Sylva, Sean P.")
journal: Earth and Planetary Science Letters
volume: 408
pages: -8
title: A 60,000-year record of hydrologic variability in the Central Andes from the hydrogen isotopic composition of leaf waxes in Lake Titicaca sediments
doi: 10.1016/j.epsl.2014.10.024
latitude: -16.14
longitude: -69.15
elevation: 3810
siteName: Lake Titicaca
TSid: MAT24a1c7baff
variableName: year
units: yr AD
description: Year AD
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
TSid: MATa2cbe1b687
variableName: depth
units: cm
description: depth
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
TSid: LS14FOTI01B
variableName: d2H
units: permil
description: terrestrial biomarker
basis: SASM precipitation that falls on the Altiplano is ultimately derived from Atlantic Ocean moisture that has been transported across the Amazon Basin and lifted over the eastern cordillera of the Andes. Altiplano ?Dp thus integrates upstream effects including rainout and moisture recycling over the Amazon Basin, altitude effects associated with upslope moisture transport, and local effects such as the intensity of precipitation (?amount effect?) (Dansgaard, 1964). ... "Increased rainout along this trajectory, as well as increased local precipitation in the Andes, results in more depleted ?Dp, consistent with the continentality and amount effects that dominate ?Dp variability throughout most of tropical South America (Vuille et al., 2003). Accordingly, the intensity of the SASM is significantly negatively correlated with ?18O (and correspondingly ?D) of modern precipitation in the Cen- tral Andes, as well as throughout much of southern tropical South America (Vuille and Werner, 2005).
direction: decrease
interpDirection: decrease
scope: climate
seasonality: Dec-Feb
seasonalityOriginal: SH summer
variable: circulationVariable
variableGroup: South American Summer Monsoon precipitation intensity
scope: climate
scope: climate
basis: Results from both observational and modeling studies suggest that the dominant control on modern interannual Andean ?Dp variability is Rayleigh-type fractionation during rainout along the trajectory of moist air masses across the Amazon Basin up to the Andes (e.g., Rozanski et al., 1993; Hoffmann et al., 2003; Vimeux et al., 2005; Vuille and Werner, 2005). Increased rainout along this trajectory, as well as increased local precipitation in the Andes, results in more depleted ?Dp, consistent with the continentality and amount effects that dominate ?Dp variability throughout most of tropical South America (Vuille et al., 2003).
coefficient: NA
direction: positive
fraction: NA
inferredMaterial: soil water
rank: 1
scope: isotope
seasonality: Dec-Feb
seasonalityOriginal: SH summer
variable: precipitationIsotope
variableGroup: P_isotope
variableGroupDirection: positive
basis: Results from both observational and modeling studies suggest that the dominant control on modern interannual Andean ?Dp variability is Rayleigh-type fractionation during rainout along the trajectory of moist air masses across the Amazon Basin up to the Andes (e.g., Rozanski et al., 1993; Hoffmann et al., 2003; Vimeux et al., 2005; Vuille and Werner, 2005). Increased rainout along this trajectory, as well as increased local precipitation in the Andes, results in more depleted ?Dp, consistent with the continentality and amount effects that dominate ?Dp variability throughout most of tropical South America (Vuille et al., 2003).
coefficient: NA
direction: negative
fraction: NA
rank: 2
scope: isotope
seasonality: Dec-Feb
seasonalityOriginal: SH summer
variable: deleteMe
variableGroup: continental effect
basis: While the isotopic composition of precipitation appears to be the primary control on the structure of the LT ?Dwax record, it is clear that secondary effects also contribute to this signal. Most notably, the much larger range at LT (102h) than at Illimani (58h) over the past 19 kyr suggests the influence of compounding effects on LT ?Dwax, such as decreased regional precipitation, resulting in a more enriched ?Dp, and low local humidity, which would tend to further enrich plant source water by soil water evaporation and/or leaf transpiration. Since such local evapotranspiration feedbacks would be expected to act in step with ?Dp changes, this would serve to amplify the ?Dwax signal and increase its sensitivity to ?Dp variability.
coefficient: NA
direction: positive
fraction: NA
rank: 3
scope: isotope
variable: evaporation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: soil water evapotranspiration
TSid: LS14FOTI01A
variableName: d2H
units: permil
description: terrestrial biomarker
basis: SASM precipitation that falls on the Altiplano is ultimately derived from Atlantic Ocean moisture that has been transported across the Amazon Basin and lifted over the eastern cordillera of the Andes. Altiplano ?Dp thus integrates upstream effects including rainout and moisture recycling over the Amazon Basin, altitude effects associated with upslope moisture transport, and local effects such as the intensity of precipitation (?amount effect?) (Dansgaard, 1964). ... "Increased rainout along this trajectory, as well as increased local precipitation in the Andes, results in more depleted ?Dp, consistent with the continentality and amount effects that dominate ?Dp variability throughout most of tropical South America (Vuille et al., 2003). Accordingly, the intensity of the SASM is significantly negatively correlated with ?18O (and correspondingly ?D) of modern precipitation in the Cen- tral Andes, as well as throughout much of southern tropical South America (Vuille and Werner, 2005).
interpDirection: decrease
scope: climate
seasonality: Dec-Feb
seasonalityOriginal: SH summer
variable: circulationVariable
variableGroup: South American Summer Monsoon precipitation intensity
scope: climate
scope: climate
basis: Results from both observational and modeling studies suggest that the dominant control on modern interannual Andean ?Dp variability is Rayleigh-type fractionation during rainout along the trajectory of moist air masses across the Amazon Basin up to the Andes (e.g., Rozanski et al., 1993; Hoffmann et al., 2003; Vimeux et al., 2005; Vuille and Werner, 2005). Increased rainout along this trajectory, as well as increased local precipitation in the Andes, results in more depleted ?Dp, consistent with the continentality and amount effects that dominate ?Dp variability throughout most of tropical South America (Vuille et al., 2003).
coefficient: NA
direction: positive
fraction: NA
inferredMaterial: soil water
rank: 1
scope: isotope
seasonality: Dec-Feb
seasonalityOriginal: SH summer
variable: precipitationIsotope
variableGroup: P_isotope
variableGroupDirection: positive
basis: Results from both observational and modeling studies suggest that the dominant control on modern interannual Andean ?Dp variability is Rayleigh-type fractionation during rainout along the trajectory of moist air masses across the Amazon Basin up to the Andes (e.g., Rozanski et al., 1993; Hoffmann et al., 2003; Vimeux et al., 2005; Vuille and Werner, 2005). Increased rainout along this trajectory, as well as increased local precipitation in the Andes, results in more depleted ?Dp, consistent with the continentality and amount effects that dominate ?Dp variability throughout most of tropical South America (Vuille et al., 2003).
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: soil water
rank: 2
scope: isotope
seasonality: Dec-Feb
seasonalityOriginal: SH summer
variable: deleteMe
variableGroup: continental effect
basis: While the isotopic composition of precipitation appears to be the primary control on the structure of the LT ?Dwax record, it is clear that secondary effects also contribute to this signal. Most notably, the much larger range at LT (102h) than at Illimani (58h) over the past 19 kyr suggests the influence of compounding effects on LT ?Dwax, such as decreased regional precipitation, resulting in a more enriched ?Dp, and low local humidity, which would tend to further enrich plant source water by soil water evaporation and/or leaf transpiration. Since such local evapotranspiration feedbacks would be expected to act in step with ?Dp changes, this would serve to amplify the ?Dwax signal and increase its sensitivity to ?Dp variability.
coefficient: NA
direction: positive
fraction: NA
inferredMaterial: soil water
rank: 3
scope: isotope
variable: evaporation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: soil water evapotranspiration
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: 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 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: 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 model?
root
pub
pub1
geo
PaleoData columns
year (yr AD)
interpretation
1
2
3
4
5
depth (cm)
interpretation
1
2
3
4
5
d2H (permil)
interpretation
1
2
3
4
5
6
d2H (permil)
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 g-1)
activityUncertainty (Bq g-1)
supportedActivity ()
x210PbModel ()
age (yr BP)
SD (yr BP)
reservoirAge14C (yr14C BP)
reservoirAge14CUncertainty (yr14C BP)
useInAgeModel ()