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39<br />
CHaPTeR 4 Results<br />
following summarises information contained in the vegetation survey profiles, such as survey<br />
age, floristics, survey plot type and size as well as cover / abundance score systems used.<br />
4.1.2.1 age of surveys<br />
The vegetation surveys collated date from<br />
1975 (Alex Floyd, rainforest surveys) to<br />
2007. The age of the surveys could not be<br />
ascertained for over half of the datasets<br />
(51%). For the surveys where the survey age<br />
is known, the majority (26%) were within six<br />
to 10 year age. A small percentage of surveys<br />
were within 0 to five and 11 to 20 year age.<br />
Only 2% of surveys were between 20 to 30<br />
year age (Figure 4.1).<br />
4.1.2.2 Floristics data<br />
The majority of surveys (69%) have full<br />
floristic data (i.e. records all species within a<br />
designated survey site). A small proportion<br />
of surveys (3%) have recorded either a<br />
comprehensive species list (i.e. records<br />
species within and outside a designated<br />
plot site) or canopy-only species. Details of<br />
the floristic data recorded were unknown<br />
for approximately one-third of the surveys<br />
collated (28%) (Figure 4.2).<br />
4.1.2.3 Survey plot type<br />
Survey plot type refers to the bounding<br />
outline of the survey area. There are four<br />
main plot types: quadrats, circular, transect<br />
lines and dimensionless plots. Square<br />
and rectangular quadrats are the most<br />
commonly used plots as they are easy to set<br />
up and conform to New South Wales State<br />
Government standard practice (Keith &<br />
Bedward 1999). Circular plots are round in<br />
shape and are used to obtain particular types<br />
of measurement such as tree density. Transect<br />
lines (also known as line intercept) are used<br />
to survey narrow bands of vegetation such<br />
as riparian zones or roadside environments.<br />
Dimensionless plots (also known as traverse<br />
or random walks) are conducted in dense<br />
vegetation types as they allow greater access<br />
(Hnatiuk et al. in. press).<br />
Figure 4.1. Summary of age of surveys<br />
Figure 4.2. Summary of floristic data<br />
information recorded<br />
Figure 4.3. Summary of survey plot type