https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 On the frequency domain accuracy of closed-loop estimates https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:468 Wed 11 Apr 2018 09:33:55 AEST ]]> Model predictions of important bed and gas properties during iron ore sintering https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22231 Tue 16 Oct 2018 12:11:26 AEDT ]]> Validation of prediction models for radiation-induced late rectal bleeding: Evidence from a large pooled population of prostate cancer patients https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51315 Thu 31 Aug 2023 14:30:36 AEST ]]> A methodology for hypothesis testing in conceptual catchment modelling https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13899 Thu 29 Nov 2018 08:41:17 AEDT ]]> Modelling the spatial extent of post-fire sedimentation threat to estimate the impacts of fire on waterways and aquatic species https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53278 10 million ha of temperate and subtropical forests. Methods: We integrated an existing soil erosion model with fire severity mapping and rainfall data to estimate the spatial extent of post-fire sedimentation threat in waterways and in basins and the potential exposure of aquatic species to this threat. We validated the model against field observations of sedimentation events after the 2019–20 fires. Results: While fires overlapped with ~27,643 km of waterways, post-fire sedimentation events potentially occurred across ~40,449 km. In total, 55% (n = 85) of 154 basins in the study region may have experienced substantial post-fire sedimentation. Ten species—including six Critically Endangered—were threatened by post-fire sedimentation events across 100% of their range. The model increased the estimates for potential impact, compared to considering fire extent alone, for >80% of aquatic species. Some species had distributions that did not overlap with the fire extent, but that were entirely exposed to post-fire sedimentation threat. Conclusions: Compared with estimating the overlap of fire extent with species' ranges, our model improves estimates of fire-related threats to aquatic fauna by capturing the complexities of fire impacts on hydrological systems. The model provides a method for quickly estimating post-fire sedimentation threat after future fires in any fire-prone region, thus potentially improving conservation assessments and informing emergency management interventions.]]> Mon 20 Nov 2023 13:02:59 AEDT ]]>