Non-marine paleoclimate records - PowerPoint PPT Presentation

About This Presentation
Title:

Non-marine paleoclimate records

Description:

Pollen grains can directly identify plant species. ... hardwood species (beech, maple, oak, hickory) and/or increase in conifer species ... – PowerPoint PPT presentation

Number of Views:145
Avg rating:3.0/5.0
Slides: 40
Provided by: germa7
Category:

less

Transcript and Presenter's Notes

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.

4
(No Transcript)
5
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.

18
(No Transcript)
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.
27
(No Transcript)
28
Williams, 2003.
29
(No Transcript)
30
(No Transcript)
31
(No Transcript)
32
(No Transcript)
33
(No Transcript)
34
(No Transcript)
35
Pollen Interpretation
  • Transfer Functions A polynomial equation is
    fitted to observed pollen data.
  • Not often used because these functions assume
    that only one parameter controls the distribution
    of vegetation (pollen).
  • Particularly problematic for ecosystems with no
    modern analog.

36
Macrofossils
  • Plant remains (leaves, fruits, flowers, roots,
    etc) are preserved in some particular
    environments (e.g., swamps).
  • Advantage species can readily be identified,
    provides good radiocarbon dates.
  • Disadvantage Few locations are available and
    modern analogs are difficult to established.

37
Tree-line (Ecotone)
  • Gradual transition from mature dense forest
    through open, discontinuous woodland, to isolated
    trees or grasslands.
  • Artic Ecotone Boreal forest/tundra
  • Plant macrofossils are collected from soils.
  • Soil type changes as vegetation changes.
  • Tree line coincides with July temperature
  • Tree line also coincides with mean summer
    position of the Arctic front.

38
  • Caveats of the record
  • Trees invades grasslands at a faster pace than
    grasses colonize forests.
  • Trees live longer than grasses, but grasses grow
    faster than trees.
  • Fire frequency affects tree line.
  • Invasion of new species.
  • Records are usually incomplete.
  • Are modern tree lines at equilibrium?
  • What is the lag time?

39
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com