Byron Flora and Fauna Study 1999 - Byron Shire Council
Byron Flora and Fauna Study 1999 - Byron Shire Council
Byron Flora and Fauna Study 1999 - Byron Shire Council
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A GREENPRINT FOR A SUSTAINABLE FUTURE<br />
(e.g. identifying areas considered likely to provide habitat for Threatened flora <strong>and</strong> fauna species, such as<br />
remnant rainforest <strong>and</strong> old growth eucalypt forest). The mapping component provided data on extent of<br />
remnant <strong>and</strong> regrowth native vegetation, extent of Camphor Laurel cover <strong>and</strong> an indication of the areal<br />
extent of different vegetation associations present in the <strong>Shire</strong>.<br />
4.2 PREVIOUS STUDIES<br />
The vegetation of <strong>Byron</strong> <strong>Shire</strong> had not previously been mapped, although parts had been treated in studies<br />
using differing methodologies (Table 4.1). As some aspects of vegetation cover change relatively quickly,<br />
often it is only the most recent studies which are useful as an indication of current vegetation.<br />
In June 1996 L<strong>and</strong>mark Ecological Services Pty Ltd was engaged by <strong>Byron</strong> <strong>Shire</strong> <strong>Council</strong> to carry out a pilot<br />
vegetation mapping project as part of the planning for the major flora <strong>and</strong> fauna study of the <strong>Shire</strong> (Milledge<br />
<strong>and</strong> McKinley 1996). The principal objective was to design a vegetation mapping system incorporating<br />
structural <strong>and</strong> floristic attributes at a scale of 1:25,000 which would provide sufficient detail to be useful for<br />
l<strong>and</strong> use planning purposes. The area selected for the pilot project comprised the coast <strong>and</strong> hinterl<strong>and</strong><br />
about Cape <strong>Byron</strong> <strong>and</strong> <strong>Byron</strong> Bay.<br />
4.3 RECOMMENDATIONS FOR BYRON FLORA AND FAUNA STUDY<br />
(based on Milledge <strong>and</strong> McKinley 1996)<br />
A multi-attribute approach with vegetation structure (following Walker <strong>and</strong> Hopkins 1990) as the primary<br />
classification variable was initially used for vegetation mapping but this resulted in an extremely complex<br />
map, difficult to interpret <strong>and</strong> of limited use for l<strong>and</strong>-use planning. The complexity was primarily due to the<br />
highly disturbed nature of the pilot project area, which has resulted in a mosaic of regrowth communities<br />
with rapidly changing structural attributes. For example, major differences were apparent in the height <strong>and</strong><br />
density of some st<strong>and</strong>s as depicted in the 1991 aerial photographs <strong>and</strong> as they presently exist. Even if<br />
mapped in current form, it is likely that these st<strong>and</strong>s would be structurally different again in a few years.<br />
While structure may change rapidly, floristic changes tend to be slower. Mapping based on floristics produced<br />
a more homogeneous map, which allowed easier interpretation <strong>and</strong> provided useful information more<br />
readily.<br />
The Pilot <strong>Study</strong> was intended as a multi-attribute approach with structure as the primary classifying variable<br />
but the method proved to be impractical <strong>and</strong> was ab<strong>and</strong>oned in favour of a mapping system using floristics<br />
as the primary classification variable (Milledge <strong>and</strong> McKinley 1996). The latter method adopted floristic<br />
communities <strong>and</strong> associations as mapping units identified by dominant species in the upper stratum, although<br />
structural attributes were also included in the classification as a secondary variable, identified by a coding<br />
system.<br />
4.4 METHODS<br />
4.4.1 Aerial Photographic Interpretation (API)<br />
Interpretation of aerial photographs for the purpose of vegetation identification is a cost effective <strong>and</strong><br />
proven method for mapping large areas of vegetation.<br />
Identification of various vegetation types is undertaken in the field <strong>and</strong> identified via the use of a stereoscope,<br />
with the corresponding features on the photo. Field observations are then extrapolated <strong>and</strong> marked onto<br />
plastic overlays on the photo.<br />
Accuracy in API is dependent on several factors. These include the age <strong>and</strong> quality of photographs, the<br />
accessibility of areas for fieldwork, <strong>and</strong> the amount of resources <strong>and</strong> therefore time available for both the<br />
fieldwork <strong>and</strong> the mapping.<br />
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