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Appendix 2 - Vegetation Communities and Regional Ecosystems

Appendix 2 - Vegetation Communities and Regional Ecosystems

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3.6 Scale of Survey<br />

In vegetation survey, sampling scale is determined by sampling intensity, influenced by<br />

vegetation complexity <strong>and</strong> the areal extent of remnant vegetation. The Agricultural Organisation<br />

of the United Nations (FAO 1979) recommends 25 sites per km 2 for 1:10 000 scale soil survey,<br />

although Neldner et al. (2005) recommend a minimum of half of this sampling density for<br />

vegetation survey, dependant on the vegetation complexity <strong>and</strong> areal extent of remnant<br />

vegetation. Reference to Table 5 indicates 1 372 survey locations recorded during the initial<br />

phase of field survey, with an additional 34 sites recorded during previous mapping exercises<br />

(EPA Corveg sites). Resultant sampling equates to roughly 1:25 000 scale, based on a total l<strong>and</strong><br />

area of 892 km 2 <strong>and</strong> minimum site requirements as per Neldner et al. (2005). This data is suitable<br />

for incorporation into detailed state wide regional ecosystem assessments at present sampling<br />

intensity, although additional sites will be gathered during any subsequent survey phases.<br />

The spatial scale <strong>and</strong> accuracy of a mapping product is determined in part by the scale of the<br />

image base used for vegetation community delineation. Reference to Table 4 indicates<br />

considerable disparity between aerial photographic scales used in the assessment, ranging from<br />

1:4 000 scale on Iama Isl<strong>and</strong> to 1:85 000 on Moa. This disparity in spatial scales was addressed<br />

to a degree during the photo rectification process, whereby photographic line work was registered<br />

against satellite imagery at a st<strong>and</strong>ardised 1:25 000 scale, as required in the project brief. Whilst<br />

this process will have rectified disparities in spatial scale between isl<strong>and</strong>s to a large degree,<br />

variations in the scale of vegetation community delineation between isl<strong>and</strong>s as well as spatial<br />

accuracy of vegetation linework can be expected.<br />

3.7 Image Interpretation <strong>and</strong> Attribution Method<br />

Aerial photography was purchased as contact prints <strong>and</strong> subject to detailed stereoscopic<br />

assessment. The aim of stereoscopic analysis is to delineate consistently mappable units<br />

(polygons) of homogenous vegetation characterised through similarity of aerial photographic<br />

pattern or signature. During this process, geological <strong>and</strong> vegetation community boundaries were<br />

marked directly onto the aerial photography with removable white china ink, <strong>and</strong> a 0.25mm<br />

Rotring pen. The width of vegetation line work produced was between 0.25mm <strong>and</strong> 0.5mm with<br />

finer line work resulting in a more accurate delineation of vegetation community boundaries.<br />

Polygon attribution is based on a hierarchical system identifying l<strong>and</strong>form/geological affiliation,<br />

vegetation structure, <strong>and</strong> floristic composition. This stratification was consistent with basic rules<br />

of vegetation classification detailed in Section 3.5.<br />

Where suitable aerial photographic material was not available, satellite imagery was used as a<br />

base for vegetation community delineation with vegetation line work established directly on the<br />

digital image <strong>and</strong> incorporated into the broader spatial database. In the case of Saibai Isl<strong>and</strong>,<br />

where suitable aerial photographic coverage was available for only half of the isl<strong>and</strong>, the line<br />

work established during aerial photographic interpretation was extrapolated across the broader<br />

study area, over the top of available satellite imagery.<br />

3.8 Pre-clearing <strong>Vegetation</strong> Method<br />

The oldest available photographic imagery was utilised to establish pre-clearing vegetation<br />

communities within the study area. <strong>Vegetation</strong> line work was established on these photographs,<br />

attributed accordingly, <strong>and</strong> overlain with the recent satellite imagery to determine the extent of<br />

clearing. <strong>Vegetation</strong> polygons were clipped to cleared boundaries on recent imagery to produce a<br />

‘Remnant <strong>Vegetation</strong> Layer’.<br />

3d Environmental – Torres Strait <strong>Regional</strong> Ecosystem Mapping Project – August 2008<br />

21

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