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P. McKenna

Researcher at University of Queensland

Publications -  16
Citations -  224

P. McKenna is an academic researcher from University of Queensland. The author has contributed to research in topics: Vegetation & Allocasuarina littoralis. The author has an hindex of 8, co-authored 12 publications receiving 177 citations.

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Measuring fire severity using UAV imagery in semi-arid central Queensland, Australia

TL;DR: In this article, the analysis of high spatial resolution Unmanned Aerial Vehicle UAV imagery to assess fire severity on a 117-ha experimental fire conducted on coal mine rehabilitation in an open woodland environment in semi-arid Central Queensland, Australia was described.
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A multi-disciplinary approach to understanding the impacts of mines on traditional uses of water in Northern Mongolia

TL;DR: The paper describes a case study of the Sharyn Gol Soum in northern Mongolia where a range of mining types, from artisanal, small-scale mining to a large coal mine, operate alongside traditional herding lifestyles and concludes that the lack of baseline data and effective governance mechanisms are fundamental challenges that need to be addressed.
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Structural development of vegetation on rehabilitated North Stradbroke Island: Above/belowground feedback may facilitate alternative ecological outcomes

TL;DR: In this article, a broad-scale revegetation pattern following sand mining on North Stradbroke Island, south-eastern Queensland, Australia was depicted, where the structure of these ecosystems (n = 146) was assessed by distinguishing between periods of "older" (pre-1995), and "younger" (post-1995) rehabilitation practices.

Evaluating the success of mineral sand mine rehabilitation on North Stradbroke Island, Queensland: Comparisons with reference eucalypt communities

TL;DR: In this article, the success of rehabilitation is evaluated by measures of vegetation composition and structure, with native tree and understorey species richness, density and foliage cover required to achieve at least 65 to 75% of reference site values.
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Ecoregionalization classification of wetlands based on a cluster analysis of environmental data

TL;DR: In this article, a multivariate clustering approach based on environmental data for objectively defining temperate treeless palustrine wetland communities was described, which can be used to produce objective, repeatable and defensible wetland community maps.