https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50450 Wed 26 Jul 2023 13:14:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7221 Wed 11 Apr 2018 17:01:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26439 Wed 11 Apr 2018 14:17:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14905 Wed 11 Apr 2018 10:30:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38617 Wed 06 Mar 2024 15:26:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48766 Wed 05 Apr 2023 13:55:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52153 Wed 04 Oct 2023 10:48:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50133 Tue 04 Jul 2023 13:20:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50570 Tue 01 Aug 2023 10:12:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52103 Thu 28 Sep 2023 14:49:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8089 Sat 24 Mar 2018 08:34:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9757 Sat 24 Mar 2018 08:13:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21348 Sat 24 Mar 2018 07:51:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23835 Sat 24 Mar 2018 07:12:10 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44568 Mon 17 Oct 2022 11:30:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36792 Mon 06 Jul 2020 11:38:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40432 Setonix brachyurus, in south-west Western Australia. We hypothesised that movement between known populations would be relatively rare and result in significant genetic structuring. Genetic analyses from 412 adult individuals at 14 nuclear markers (microsatellite) from 33 sampling locations identified structure, diversity and spatial separation of quokkas across their mainland distribution and on two islands. We identified nine inferred (K = 9) populations of quokka that would be otherwise difficult to define with standard ecological techniques. The highest genetic diversity was evident in a large central population of quokka in the southern forest area and genetic diversity was lower at the peripheries of the distribution. The Rottnest Island population contained 70% of the genetic diversity of the mainland populations but the genetic diversity of animals on Bald Island was markedly lower. Populations of quokka in the northern jarrah forest were the only ones to show evidence of recent or long-term population bottlenecking. Of particular interest was the recently identified population at the Muddy Lakes area (the only remaining locality on the Swan Coastal Plain), which was identified as being genetically associated with the southern forest population. Overall, spatial and population cluster analysis showed small insular populations in the northern jarrah forest area, but in the southern forests there appears to be a large panmictic population.]]> Fri 22 Jul 2022 14:30:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39687 Fri 17 Jun 2022 15:53:11 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39500 m) and the scale parameter (here, the critical kinetic energy). The model is based on theoretically-derived conversion factors used to turn the critical work required to fail disc samples in quasi-static indirect tension into the critical kinetic energy to cause failure of spheres at impact in drop tests. The mechanistic conversion factors specifically account for the shape and size of the specimens tested and the increase of strength under dynamic loading (strain rate effect). Three series of drop tests were conducted (on spheres of three different diameters) and complemented by extensive material characterisation testing in order to validate the novel predictive model. The variability of material properties was characterised, and it was found that the material strength found by the characterisation tests generally follows a Weibull form, but the survival probability distribution of the drop tests seems to be linear. The predicted conversion factors were first compared against their experimental counterparts before validating the prediction of survival probability of the spheres upon dynamic impact (in drop tests). It was found that it is possible to predict the survival probability of artificial rock of three different diameters (50 mm, 75 mm, 100 mm) and two different strengths upon impact solely from the statistical information coming from Brazilian tests and with an average relative error of less than 9%.]]> Fri 10 Jun 2022 14:46:30 AEST ]]>