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L <- lipdR::readLipd("https://lipdverse.org/data/9dCvb7un7yim06OmoNjJ/1_0_8/LS15DOSA.lpd")Report an issue (include datasetId and version)
In compilations: (only most recent versions are shown)
iso2k-1_1_2
archiveType: LakeSediment
originalDataUrl: this compilation
lipdVersion: 1.3
author: list(name = "Douglas, Peter M. J. , Pagani, Mark , Canuto, Marcello A. , Brenner, Mark , Hodell, David A. , Eglinton, Timothy I. , Curtis, Jason H.")
journal: Proceedings of the National Academy of Sciences
volume: 112
title: Drought, agricultural adaptation, and sociopolitical collapse in the Maya Lowlands
doi: 10.1073/pnas.1419133112
latitude: 16.98
longitude: -89.67
elevation: 105
siteName: Lake Salpeten
TSid: MATc00c25333f
variableName: age
units: yr BP
description: Year AD
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
TSid: MAT7cd8053d65
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
rank: NA
scope: climate
TSid: LS15DOSA01C
variableName: d2H
units: permil
description: terrestrial biomarker
basis: Past variability in ?Dwax-corr reflects the combined effects of evaporative enrichment of soil and plant water D/H ratios and temporal variability in the isotopic composition of pre- cipitation, which, in this region, is primarily controlled by the amount effect (8, 27)...Therefore we interpret ?Dwax-corr values as a qualitative indicator of past water availability.
direction: decrease
interpDirection: decrease
scope: climate
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: water availability
scope: climate
scope: climate
basis: In the modern Maya Lowlands, ?Dwax is well correlated with precipitation amount and varies by 60? across an annual precipitation gradient of 2,500 mm (Fig. 2).
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: soil water
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: P_E
basis: This modern variability in dDwax is strongly influenced by soil water evaporation (17), and it is possible that changes in potential evapotranspiration could also impact paleo records.
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: soil water
mathematicalRelation: linear
rank: 2
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: evaporation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: evaptranspiration
basis: Physiological differences between plant groups also result in differing ?Dwax values between C3 trees and shrubs and C4 grasses (16), and we use ?13Cwax records to correct for the influence of vegetation change on ?Dwax values (25) (?Dwax-corr, SI Text and Fig. S1).
coefficient: NA
direction: depends on plant type
fraction: NA
inferredMaterial: soil water
rank: 1
scope: isotope
variable: deleteMe
variableGroup: Plant type
TSid: LS15DOSA01B
variableName: d2H
units: permil
description: terrestrial biomarker
basis: Past variability in ?Dwax-corr reflects the combined effects of evaporative enrichment of soil and plant water D/H ratios and temporal variability in the isotopic composition of pre- cipitation, which, in this region, is primarily controlled by the amount effect (8, 27)...Therefore we interpret ?Dwax-corr values as a qualitative indicator of past water availability.
direction: decrease
interpDirection: decrease
scope: climate
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: water availability
scope: climate
scope: climate
basis: In the modern Maya Lowlands, ?Dwax is well correlated with precipitation amount and varies by 60? across an annual precipitation gradient of 2,500 mm (Fig. 2).
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: soil water
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: P_E
basis: This modern variability in dDwax is strongly influenced by soil water evaporation (17), and it is possible that changes in potential evapotranspiration could also impact paleo records.
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: soil water
mathematicalRelation: linear
rank: 2
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: evaporation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: evaptranspiration
basis: Physiological differences between plant groups also result in differing ?Dwax values between C3 trees and shrubs and C4 grasses (16), and we use ?13Cwax records to correct for the influence of vegetation change on ?Dwax values (25) (?Dwax-corr, SI Text and Fig. S1).
coefficient: NA
direction: depends on plant type
fraction: NA
inferredMaterial: soil water
rank: 1
scope: isotope
variable: deleteMe
variableGroup: Plant type
TSid: LS15DOSA01A
variableName: d2H
units: permil
description: terrestrial biomarker
basis: Past variability in ?Dwax-corr reflects the combined effects of evaporative enrichment of soil and plant water D/H ratios and temporal variability in the isotopic composition of pre- cipitation, which, in this region, is primarily controlled by the amount effect (8, 27)...Therefore we interpret ?Dwax-corr values as a qualitative indicator of past water availability.
interpDirection: decrease
scope: climate
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: water availability
scope: climate
scope: climate
basis: In the modern Maya Lowlands, ?Dwax is well correlated with precipitation amount and varies by 60? across an annual precipitation gradient of 2,500 mm (Fig. 2).
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: soil water
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: P_E
basis: This modern variability in ?Dwax is strongly influenced by soil water evaporation (17), and it is possible that changes in potential evapotranspiration could also impact paleo records.
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: soil water
mathematicalRelation: linear
rank: 2
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: evaporation
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: evaptranspiration
basis: Physiological differences between plant groups also result in differing ?Dwax values between C3 trees and shrubs and C4 grasses (16), and we use ?13Cwax records to correct for the influence of vegetation change on ?Dwax values (25) (?Dwax-corr, SI Text and Fig. S1).
coefficient: NA
direction: depends on plant type
fraction: NA
inferredMaterial: soil water
rank: 1
scope: isotope
variable: deleteMe
variableGroup: Plant type
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
age (yr BP)
interpretation
1
2
3
4
5
6
depth (cm)
interpretation
1
2
3
4
5
6
d2H (permil)
interpretation
1
2
3
4
5
6
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 ()