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Quantifying stand structural complexity in woodland and dry sclerophyll forest, South-Eastern Australia

McElhinny, Chris


In this thesis I present and test a methodology for developing a stand scale index of structural complexity. If properly designed such an index can act as a summary variable for a larger set of stand structural attributes, providing a means of ranking stands in terms of their structural complexity, and by association, their biodiversity and vegetation condition. This type of index can also facilitate the use of alternative policy instruments for biodiversity conservation, such as mitigation...[Show more]

CollectionsOpen Access Theses
Date published: 2005
Type: Thesis (PhD)


File Description SizeFormat Image
01front.pdf1.64 MBAdobe PDFThumbnail
02whole.pdf11.79 MBAdobe PDFThumbnail
03chapter1.pdf121.55 kBAdobe PDFThumbnail
04chapter2.pdf146.66 kBAdobe PDFThumbnail
05chapter3.pdf1.53 MBAdobe PDFThumbnail
06chapter4.pdf193.34 kBAdobe PDFThumbnail
07chapter5.pdf192.62 kBAdobe PDFThumbnail
08chapter6.pdf220.57 kBAdobe PDFThumbnail
09chapter7.pdf7.98 MBAdobe PDFThumbnail
10chapter8.pdf288.06 kBAdobe PDFThumbnail
11chapter9.pdf104.95 kBAdobe PDFThumbnail
12references.pdf136.9 kBAdobe PDFThumbnail
13appendices.pdf135.1 kBAdobe PDFThumbnail

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