Palynology is one of the most widely used research
tools in Quaternary studies (Edwards 1983). Faegri
and Iverson (1989, p. 1) define pollen analysis as
‘a
technique for reconstructing former vegetation by
means of the pollen grains it produced’. While
palynology technically refers to the study of both
pollen grains and spores, these will be referred to
collectively as ‘pollen’ for the sake of
convenience. Pollen analysis has been used to
document long-term vegetation dynamics ever since
the success of von Post’s pioneering experiments in
1916 (Birks 1993). The basic assumption of the
technique is that the number of pollen grains
deposited per unit time, at a given point, is
directly related to the abundance of the associated
species in the surrounding vegetation (Davis 1963).
However, pollen data are presented as proportions of
a total pollen sum, rather than as discrete numbers
(Davis 1963). Therefore, difficulties with the
representivity both between and within species are
experienced, as some taxa produce far greater
quantities of pollen, which are more widely
dispersed than others (Birks and Birks 2005). In
other words, pollen data require careful
interpretation as the representivity of the pollen
spectrum is shaped by differences in pollen
productivity, dispersal and preservation (Faegri and
Iverson 1989). Pollen grains are well suited to
analysis for a number of reasons: (i) they have
extremely resilient exines, which allow for their
survival in deposits where other fossil types have
been destroyed; (ii) they are abundantly produced;
(iii) they are widely and evenly dispersed; and (iv)
pollen data are easily quantified (Faegri and
Iverson 1989).
It is useful to think of pollen analysis as a remote
sensing instrument, which records the past and
present composition of vegetation (Webb et al.
1978). As with any sensing instrument, pollen
analysis has certain response characteristics, which
limit its application to certain contexts (Prentice
1988). Pollen data have been used in a wide variety
of Quaternary applications including
chronostratigraphic correlation, palaeoecology,
palaeoclimatology and archaeology (Macdonald 1988).
Data derived from pollen studies can be used to
provide an indication as to the response of natural
vegetation to human impacts through history, as well
as to climatic and environmental change (Prentice
1988; Edwards and Macdonald 1991). Birks (1981)
attributes the importance of the pollen record as a
source of palaeoclimatic information to both its
length (102 – 105 years) and sample resolution (10 –
1000 years). At the largest spatial scale, pollen
data have been used to reconstruct past changes of
biomes, using pollen records from entire modern
biomes as a basis (e.g. Jolly et al. 1998; Elenga et
al. 2000). In addition, Quaternary palynological
data constitute a valuable quantitative record
against which climatic models such as general
circulation models (GCMs) can be validated, for
studies of global change (Huntley 1990). These data
strengthen predictions of how vegetation is likely
to respond to future climatic conditions, thereby
providing an indication of the future agricultural
and silvicultural potential of various regions
(Huntley 1990).
General Principles
Birks and Birks (1980) have outlined the general
principles of pollen analysis as follows: (i) pollen
grains are produced in large quantities during the
natural reproductive cycles of many plants; (ii)
relative vegetation composition can therefore be
inferred from the pollen grains released into the
environment, as these are a function of the number
of parent plants; (iii) the majority of pollen
grains produced by plants never fulfil their
reproductive function, and when deposited within
sediments they may be preserved as fossils; (iv)
fossil grains may be extracted from sediments and
identified down to family/genus/species level; and
(v) the stratigraphic level at which grains are
extracted corresponds with particular periods in the
past.

Figure 1. Examples of pollen reference slides
from South Africa
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