Foraminifera, Isotopes and Paleoclimate Signals Shannon Valley EAS - - PowerPoint PPT Presentation

foraminifera isotopes and paleoclimate signals
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Foraminifera, Isotopes and Paleoclimate Signals Shannon Valley EAS - - PowerPoint PPT Presentation

Foraminifera, Isotopes and Paleoclimate Signals Shannon Valley EAS 4480 April 23, 2015 What are foraminifera? and what can they tell us? Isotope Ratios 18 O in forams: # T, $ 18 O 13 C in forams: # productivity, $


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Foraminifera, Isotopes and Paleoclimate Signals

Shannon Valley EAS 4480 April 23, 2015

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What are foraminifera?

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…and what can they tell us?

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Isotope Ratios

δ18O in forams: #T, $δ18O δ13C in forams: #productivity, $δ13C

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Data and Methods

Core KNR 166-2 JPC 26 from the Florida Straits 3 benthic foram species: Cibicidoides pachyderma Planulina ariminesis Cibicides mollis Data include depth/age model, δ18O and δ13C Analyses: Linear Regression Correlation Coefficient Residual Analysis Polynomial Fits Time Series Analysis Is there a relationship between temperature and productivity evident in these species? Can we see evidence of past glaciations?

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Linear Regressions with Error Bounds

0.5 1 1.5 2 2.5

  • 0.5

0.5 1 1.5 2

C pachyderma

1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8

C mollis 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 P ariminesis

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Correlating productivity and temperature

Species

  • Corr. Coef.

P . ariminesis 0.6272

  • C. mollis

0.4918

  • C. pachyderma

0.5742

0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8

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Residual Analysis

0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 0.8 1 1.2 1.4 1.6 1.8 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6

Residual

  • 0.6
  • 0.4
  • 0.2

0.2 0.4 0.6 0.8

1st order– P ariminensis Critical value Χ2 value 21.03 173.2

  • 0.6
  • 0.4
  • 0.2

0.2 0.4 0.6 0.8 10 20 30 40 50 60 70

P arimenisis Regression Residual Distribution

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SLIDE 9

2nd Degree Polynomial Fits

0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

P ariminesis

1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3

  • 0.2

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8

C mollis 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6

  • 0.6
  • 0.4
  • 0.2

0.2 0.4 0.6 0.8

P ariminesis

1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3

  • 0.8
  • 0.6
  • 0.4
  • 0.2

0.2 0.4 0.6

C mollis

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2nd Degree Polynomial Fits ¡

0.5 1 1.5 2 2.5 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

C pachyderma

0.5 1 1.5 2 2.5

  • 0.8
  • 0.6
  • 0.4
  • 0.2

0.2 0.4 0.6 0.8

C pachyderma

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P ariminesis Time Series

Age (yr BP)

#104 0.5 1 1.5 2 2.5 3 3.5 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6

Age (yr BP)

#104 0.5 1 1.5 2 2.5 3 3.5 0.6 0.8 1 1.2 1.4 1.6 1.8

Frequency (Hz) #10-3 1 2 3 4 5 6 7 8 Power 2 4 6 8 10 12 14 16 18 20 p = 0.001 p = 0.005 p = 0.01 p = 0.05 p = 0.1 p = 0.5 Power Spectrum for #; hifac=2; ofac=4.

17,173 4293 3523 22,898 10,568 4432

Significant Periodicities (Yrs)

δ18O δ13C

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C mollis Time Series

Frequency (Hz) #10-3 0.5 1 1.5 2 2.5 Power 1 2 3 4 5 6 p = 0.1 p = 0.5 Power Spectrum for #; hifac=2; ofac=4.
  • 29,623 9875

6348

Significant Periodicities (Yrs)

δ18O δ13C

Age (yr BP)

#104 1 1.5 2 2.5 3 3.5

?18O?

1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3

Age (yr BP)

#104 1 1.5 2 2.5 3 3.5

?13C?

0.4 0.6 0.8 1 1.2 1.4 1.6

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C Pachyderma Time Series

Frequency (Hz) 0.001 0.002 0.003 0.004 0.005 0.006 0.007 0.008 0.009 0.01 Power 10 20 30 40 50 p = 0.001 p = 0.005 p = 0.01 p = 0.05 p = 0.1 p = 0.5 Power Spectrum for #; hifac=2; ofac=4.

Age (yr BP)

#104 0.5 1 1.5 2 2.5 3 3.5

?18O?

0.5 1 1.5 2 2.5

Age (yr BP)

#104 0.5 1 1.5 2 2.5 3 3.5

?13C?

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8

27,459 11,441 7268 5492 4291 3520 2214 1807 27,459 7226 5492 2921

  • Significant Periodicities (Yrs)

δ18O δ13C

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Conclusions, Questions

Temperature is not shown to be an indicator of productivity using these isotopes for these species. Why? Time series analyses using these methods are inconclusive. Records are too short for known periodicities. Are the three species saying the same thing? Interpolation for cpsd / cross spectral analysis may cause aliasing/ spectral leakage.