L <- lipdR::readLipd("https://lipdverse.org/data/fiJCXbmk0t0VOVuGMap7/1_0_7/LS09RUWA.lpd")
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In compilations: (only most recent versions are shown)
iso2k-1_1_2
archiveType: LakeSediment
originalDataUrl: this compilation
lipdVersion: 1.3
author: list(name = "Russell, James M. , McCoy, S.J. , Verschuren, D. , Bessems, I. , Huang, Y.")
journal: Quaternary Research
volume: 72
title: Human impacts, climate change, and aquatic ecosystem response during the past 2000�yr at Lake Wandakara, Uganda
doi: 10.1016/j.yqres.2009.06.008
latitude: 0.4167
longitude: 30.271
siteName: Lake Wandakara
TSid: LPDcb260002
variableName: year
units: yr AD
description: Year AD
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
TSid: LPD28794972
variableName: depth
units: cm
description: depth
rank: NA
scope: climate
rank: NA
scope: climate
rank: NA
scope: climate
TSid: LS09RUWA01B
variableName: d2H
units: permil
description: aquatic biomarker
basis: The dD of closed-basin tropical lakes such as Wandakara reflects the hydrologic balance of the lake, with drier conditions causing isotopically enriched lake water due to both the amount effect on precipitation and kinetic fractionation during evaporation from the lake surface, which favors the retention of deuterium relative to hydrogen in the lake water (Craig, 1961).
direction: decrease
interpDirection: decrease
scope: climate
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: P/E
scope: climate
scope: climate
basis: Short-chain (C16?C18) fatty acids in lake sediments are derived primarily from aquatic sources (Eglinton and Hamilton, 1967; Huang et al., 2002), and the principal control on their ?D is the ?D of lake water (Huang et al., 2002, 2004). ... "The ?D of closed-basin tropical lakes such as Wandakara reflects the hydrologic balance of the lake, with drier conditions causing isotopically enriched lake water due to both the amount effect on precipitation and kinetic fractionation during evaporation from the lake surface, which favors the retention of deuterium relative to hydrogen in the lake water (Craig, 1961). "
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: lake water
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: hydrologicBalance
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: I_E
coefficient: NA
fraction: NA
rank: NA
scope: isotope
coefficient: NA
fraction: NA
rank: NA
scope: isotope
TSid: LS09RUWA01B2
variableName: d2H
units: permil
description: aquatic biomarker
basis: The dD of closed-basin tropical lakes such as Wandakara reflects the hydrologic balance of the lake, with drier conditions causing isotopically enriched lake water due to both the amount effect on precipitation and kinetic fractionation during evaporation from the lake surface, which favors the retention of deuterium relative to hydrogen in the lake water (Craig, 1961).
direction: decrease
interpDirection: decrease
scope: climate
seasonality: Annual
seasonalityOriginal: Annual
variable: effectivePrecipitation
variableGroup: P/E
scope: climate
scope: climate
basis: Short-chain (C16?C18) fatty acids in lake sediments are derived primarily from aquatic sources (Eglinton and Hamilton, 1967; Huang et al., 2002), and the principal control on their ?D is the ?D of lake water (Huang et al., 2002, 2004). ... "The ?D of closed-basin tropical lakes such as Wandakara reflects the hydrologic balance of the lake, with drier conditions causing isotopically enriched lake water due to both the amount effect on precipitation and kinetic fractionation during evaporation from the lake surface, which favors the retention of deuterium relative to hydrogen in the lake water (Craig, 1961). "
coefficient: NA
direction: negative
fraction: NA
inferredMaterial: lake water
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: hydrologicBalance
variableGroup: EffectiveMoisture
variableGroupDirection: negative
variableGroupOriginal: I_E
coefficient: NA
fraction: NA
rank: NA
scope: isotope
coefficient: NA
fraction: NA
rank: NA
scope: isotope
TSid: LS09RUWA01A
variableName: d2H
units: permil
description: terrestrial biomarker
basis: The shift toward grassland at AD 1000 must therefore have influenced the ?DC30 record due to biosynthetic fractionation differences between trees and grasses (Hou et al., 2007). Indeed, the enormous amplitude of shifts in ?DC30 relative to ?DC16 likely results from the replacement of forest with C4 grasslands during wet periods?a process driven by humans rather than by climate. The amplified ?DC30 response occurs because of a combination of the amount effect during wet periods and stronger isotopic fractionation by grasses relative to trees, both of which favor isotopically depleted ?DC30 (Hou et al., 2008).
interpDirection: decrease
scope: climate
variable: deleteMe
variableGroup: human-induced grass expansion
scope: climate
scope: climate
basis: The ?D of long-chain, terrestrially derived fatty acids is controlled by the ?D of the water used by plants, transpiration from leaf surfaces, and kinetic fractionation during biosynthesis (Hou et al., 2008; Sessions et al., 1999). ... "Thus, although the first-order control on leaf wax ?D in the tropics is the ?D of meteoric waters, interactions between climate and vegetation suggest the potential for complex, non-linear responses of leaf wax ?D to rainfall variability."
coefficient: NA
direction: positive
fraction: NA
inferredMaterial: soil water
mathematicalRelation: linear
rank: 1
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: precipitationIsotope
variableGroup: P_isotope
variableGroupDirection: positive
variableGroupOriginal: P_isotope & Veg
basis: If changes in vegetation surrounding Lake Wandakara were mainly driven by rainfall, ?13CC30 and ?DC30 should also be positively correlated: during intervals of drought shifts toward C4 ecosystems would occur, recorded by enriched ?DC30 values. However, ?13CC30 and ?DC30 are clearly negatively correlated (Fig. 5). In fact, large positive shifts in ?13CC30 are associated with depleted ?DC30 values, and peak ?13CC30 from AD 1200 to 1440 occurs during an interval of regionally wet climate conditions (Russell et al., 2007, Russell and Johnson, 2007). This suggests that the abrupt shifts toward C4 vegetation were not caused by climate but instead by human activities on the landscape, presumably forest clearance for agriculture (Ssemmanda et al., 2005).
coefficient: NA
fraction: NA
mathematicalRelation: nonlinear
rank: 2
scope: isotope
seasonality: Annual
seasonalityOriginal: Annual
variable: deleteMe
variableGroup: Human-induced changes in vegetation type
coefficient: NA
fraction: NA
rank: NA
scope: isotope
root
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PaleoData columns
year (yr AD)
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depth (cm)
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d2H (permil)
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6
d2H (permil)
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d2H (permil)
interpretation
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6