Non-marine paleoclimate records - PowerPoint PPT Presentation

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Non-marine paleoclimate records

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Title: PowerPoint Presentation Author: German Mora Last modified by: German Mora Created Date: 3/20/2005 3:58:37 PM Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: Non-marine paleoclimate records


1
Non-marine paleoclimate records
  • Pollen Data

2
Basis for Pollen Studies
  • Pollen grains can directly identify plant
    species.
  • Pollen is widely present and abundantly produced.
  • Pollen grains are resistant to decay.

Alnus
3
Pollen Studies
  • Palynology is the study of pollen
  • Pollen grains can be found in caves, lake
    sediments, soils, peat deposits, marine
    sediments, glacial deposits.
  • Pollen data provides information of changes in
    vegetation, climate, and human disturbance of
    terrestrial ecosystems.

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Pollen Production
  • Pollen production is inversely proportional to
    the probability of fertilization.
  • Authogamous plants lt Entomophilous lt
    Anemophilous
  • (self-fertilizing)
    (insect-fertilizing) (wind-dispersed)
  • Pollen can be produced during different seasons
    by different plants.
  • How representative are pollen grains of species
    distribution and abundance?

6
Genus Pollen Production Grain/flower Rate of Fall (cm/sec)
Pinus gt15 million 2
Picea 200,000 9
Abies 100 40
Poacea 90,000 10
Betula 10,000 1
Quercus 9,000 5
Fagus 15 8
Acer 8,000 4
Tilia 20,000 18
7
Pollen Production
  • Pollen production is species-specific. Whereas
    some plants can produce 70,000 grains per anther,
    others produce up to 100 grains per anther.
  • The pollen record is biased towards
    wind-pollinated plants (all gymnosperms and most
    angiosperms) because these plants need to produce
    vast quantities of pollen.

8
Pollen Production
  • Anemophilous plants (wind-pollinated) produce
    light, aerodynamically shaped pollen.
  • Pollen deposition depends on grain shape and
    weight, wind velocity, wind direction, canopy
    cover

9
Pollen dispersal
  • Travel distance is inversely proportional to
    pollen-grain size.
  • Pollen grains are filtered as they move through
    the canopy.
  • Some light pollen grains can be transported
    long-distances in the upper atmosphere.
  • In general, pollen from low-standing plants have
    low probability of dispersal.

10
Pollen dispersal
  • Meteorological conditions control pollen
    dispersal.

11
Pollen and vegetation
Lakes regional vegetation
Ponds local vegetation
12
Pollen percentages in surface samples from
eastern Canada.
13
Pollen and Vegetation
  • Surface pollen composition is different than
    vegetation composition and abundance.
  • Pollen composition at a given point within an
    ecosystem is fairly consistent.
  • But, pollen compositions at different sites
    within the same ecosystem are slightly different.
  • However, the difference between pollen
    composition among sites in different ecosystems
    is far greater than the difference between sites
    within a single ecosystem.

14
Pollen Analysis
  • Sediments are collected
  • Pollen grains are isolated from the sediment
    matrix via chemical treatments.
  • Isolated pollen grains are mounted onto a glass
    slide, and they are identified and quantified
    under a microscope.

15
Pollen Analysis
  • Pollen counts in each slide are reported in
    percentages of the total pollen count (excluding
    wetland or rare species).
  • Changes in the of one species are interpreted
    to reflect a similar change in the composition of
    vegetation.

16
Pollen Analysis
  • Problem of pollen counts could give
    unrealistic information of vegetation composition
    if, for instance, a plant species is replaced by
    an abundantly pollen-producing plant.

Y-axis Time
X-axis pollen grains
17
Pollen Analysis
  • To circumvent biases associated with pollen
    production, one could use pollen flux density
    values (pollen grain/yr-cm2).
  • However, accurate and numerous dates are needed.
    Because this is rare, pollen fluxes are not used
    very often.

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19
Pollen Interpretation
  • Pollen diagrams are usually divided into zones to
    facilitate interpretations.
  • Changes in pollen composition are interpreted to
    indicate changes in climate or human disturbance.

St. Paul, MN (Matsch, 1976).
20
Pollen Interpretation
  • Two general interpretative approaches exist
  • Individualistic Approach Past environmental
    conditions are reconstructed on the basis of
    present-day ecology and environmental tolerance
    and optima of a plant species.
  • Assemblage Approach Past environmental
    conditions are reconstructed on the basis modern
    plant associations in climate/ biogeographical
    regions.

21
Pollen Interpretation
  • Individualistic approach (Midwest)
  • Decline in hardwood species (beech, maple, oak,
    hickory) and/or increase in conifer species
    (spruce, fir, pine) indicates cooling.
  • Increase in ash and/or elm indicates wet
    environments.
  • Decline in trees and increase in grasses
    indicates drier conditions.

22
Pollen record for Money Creek and Pine Creek in
southeastern Minnesota (Baker et al., 2002).
23
Pollen Interpretation
  • Assemblage Approach
  • Modern Analog Technique (MAT) Central
    assumption If two assemblages contain a similar
    mixture of pollen grains, then the communities
    that produced those assemblages must also have
    been similar.
  • Another assumption Plant composition in an
    ecosystem is at equilibrium with the environment.

24
Pollen Interpretation
  • MAT relies on the dissimilarities of modern and
    fossil assemblages.
  • To determine if they are the same, the threshold
    of relatedness is based on statistical
    comparisons between paired populations within and
    between ecosystems.

25
Pollen Interpretation
  • Hierarchical Analog Approach Based on functional
    analogs rather than on plant associations.
  • First level of analyses similar to MAT
  • Second level based on plant functional types.
  • Third level based on plant life forms.

26
Williams, 2003.
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Williams, 2003.
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