LS09RUWA - v1.0.7

Dataset Id: fiJCXbmk0t0VOVuGMap7

Download LiPD file

Download LiPD file as JSON-LD

R code to load dataset:

L <- lipdR::readLipd("https://lipdverse.org/data/fiJCXbmk0t0VOVuGMap7/1_0_7/LS09RUWA.lpd")

Edit LiPD file

Download PaleoData only (csv)

Dataset changelog

Report an issue (include datasetId and version)

In compilations: (only most recent versions are shown)

iso2k-1_1_2

root

archiveType: LakeSediment

originalDataUrl: this compilation

lipdVersion: 1.3

pub
pub1

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

geo

latitude: 0.4167

longitude: 30.271

siteName: Lake Wandakara

PaleoData columns
year (yr AD)

TSid: LPDcb260002

variableName: year

units: yr AD

description: Year AD

interpretation
1

rank: NA

scope: climate

2

rank: NA

scope: climate

3

rank: NA

scope: climate

depth (cm)

TSid: LPD28794972

variableName: depth

units: cm

description: depth

interpretation
1

rank: NA

scope: climate

2

rank: NA

scope: climate

3

rank: NA

scope: climate

d2H (permil)

TSid: LS09RUWA01B

variableName: d2H

units: permil

description: aquatic biomarker

interpretation
1

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

2

scope: climate

3

scope: climate

4

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

5

coefficient: NA

fraction: NA

rank: NA

scope: isotope

6

coefficient: NA

fraction: NA

rank: NA

scope: isotope

d2H (permil)

TSid: LS09RUWA01B2

variableName: d2H

units: permil

description: aquatic biomarker

interpretation
1

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

2

scope: climate

3

scope: climate

4

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

5

coefficient: NA

fraction: NA

rank: NA

scope: isotope

6

coefficient: NA

fraction: NA

rank: NA

scope: isotope

d2H (permil)

TSid: LS09RUWA01A

variableName: d2H

units: permil

description: terrestrial biomarker

interpretation
1

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

2

scope: climate

3

scope: climate

4

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

5

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

6

coefficient: NA

fraction: NA

rank: NA

scope: isotope