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Non-marine paleoclimate records Pollen Data

Non-marine paleoclimate records

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Non-marine paleoclimate records. Pollen Data. 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. Pollen Studies. Palynology is the study of pollen - PowerPoint PPT Presentation

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Page 1: Non-marine paleoclimate records

Non-marine paleoclimate records

Pollen Data

Page 2: Non-marine paleoclimate records

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

Page 3: Non-marine paleoclimate records

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 < Entomophilous < 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?

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Genus Pollen Production

Grain/flower

Rate of Fall (cm/sec)

Pinus >15 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

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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.

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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

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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.

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Pollen dispersal

• Meteorological conditions control pollen dispersal.

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Pollen and vegetation

Ponds: local vegetation Lakes: regional vegetation

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Pollen percentages in surface samples from eastern Canada.

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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.

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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.

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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.

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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.

X-axis: % pollen grains

Y-a

xis:

Tim

e

Page 17: Non-marine paleoclimate records

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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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).

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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.

Page 21: Non-marine paleoclimate records

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.

Page 22: Non-marine paleoclimate records

Pollen record for Money Creek and Pine Creek in southeastern Minnesota(Baker et al., 2002).

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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.

Page 24: Non-marine paleoclimate records

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.

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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.

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Williams, 2003.

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Williams, 2003.

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