https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 How to account for particle size effects in a landscape evolution model when there is a wide range of particle sizes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39869 Tue 28 Jun 2022 14:26:07 AEST ]]> Sediment output from a post-mining catchment: centennial impacts using stochastically generated rainfall https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32709 Thu 20 Oct 2022 09:44:50 AEDT ]]> Soil erosion predictions from a landscape evolution model - an assessment of a post-mining landform using spatial climate change analogues https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31018 Thu 20 Oct 2022 09:42:46 AEDT ]]> Surface armour and erosion: impacts on long-term landscape evolution https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32704 Thu 12 Jul 2018 11:51:18 AEST ]]> A catchment scale evaluation of the SIBERIA and CAESAR landscape evolution models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10556 Sat 24 Mar 2018 08:08:22 AEDT ]]> An evaluation of an enhanced soil erosion and landscape evolution model: a case study assessment of the former Nabarlek uranium mine, Northern Territory, Australia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5640 Sat 24 Mar 2018 07:44:00 AEDT ]]> Hillslope erosion measurement: a simple approach to a complex process https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26594 Sat 24 Mar 2018 07:34:02 AEDT ]]> Catchment reconstruction - erosional stability at millennial time scales using landscape evolution models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27141 Sat 24 Mar 2018 07:33:01 AEDT ]]> Does introduced fauna influence soil erosion? A field and modelling assessment https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27139 Sus scrofa) are recognised as having significant ecological impacts in many areas of the world including northern Australia. The full consequences of the introduction of pigs are difficult to quantify as the impacts may only be detected over the long-term and there is a lack of quantitative information on the impacts of feral pigs globally. In this study the effect of feral pigs is quantified in an undisturbed catchment in the monsoonal tropics of northern Australia. Over a three-year period, field data showed that the areal extent of pig disturbance ranged from 0.3-3.3% of the survey area. The mass of material exhumed through these activities ranged from 4.3tha-1yr-1 to 36.0tha-1yr-1. The findings demonstrate that large introduced species such as feral pigs are disturbing large areas as well as exhuming considerable volumes of soil. A numerical landscape evolution and soil erosion model was used to assess the effect of this disturbance on catchment scale erosion rates. The modelling demonstrated that simulated pig disturbance in previously undisturbed areas produced lower erosion rates compared to those areas which had not been impacted by pigs. This is attributed to the pig disturbance increasing surface roughness and trapping sediment. This suggests that in this specific environment, disturbance by pigs does not enhance erosion. However, this conclusion is prefaced by two important caveats. First, the long term impact of soil disturbance is still very uncertain. Secondly, modelling results show a clear differentiation between those from an undisturbed environment and those from a post-mining landscape, in which pig disturbance may enhance erosion.]]> Sat 24 Mar 2018 07:33:01 AEDT ]]> Surface disturbance and erosion by pigs: a medium term assessment for the monsoonal tropics https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31066 Sus scrofa) are recognised as having significant environmental impacts. Here, we quantify the effect of feral pigs in a catchment (undisturbed by Europeans) in the monsoonal tropics of northern Australia. Field data collected over a 5-year period showed that the areal extent of pig disturbance ranged from 0·3 to 3·3% of the survey area (average 1·2%, σ = 0·9%). Mass of exhumed material was considerable and ranged from 4·3 to 36·0 Mg ha−1 y−1 (average 10·9 Mg ha−1 y−1). The excavations produce surface roughness which acts as sediment traps. Over the 5-year study period, there was no evidence to suggest that pigs produce any rill or gully erosion. There does not appear to be any relationship between rainfall amount and area disturbed or volume of material exhumed. However, a significant positive relationship was observed between number of disturbances and rainfall. The location of any disturbance appears to be random and has no relationship with topography or geomorphic attributes such as slope, upslope contributing area or wetness indices derived from a high-resolution digital elevation model of the site. While pigs are disturbingly relatively large volumes of soil, there is no clear evidence to support any increase in local erosion and soil structural change may be occurring slowly and only be observable over the long term.]]> Sat 24 Mar 2018 07:24:09 AEDT ]]> Long-term landscape trajectory - can we make predictions about landscape form and function for post-mining landforms? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24947 Sat 24 Mar 2018 07:14:17 AEDT ]]> Early landscape evolution - a field and modelling assessment for a post-mining landform https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23834 3 years. The results demonstrate that when correctly calibrated the landscape evolution model is able to reliably predict sediment output from these field plots. These results suggest that there is the potential to employ the bare waste rock dump parameters for the first 3-4 years then switch to vegetated parameters for the longer term modelling. Both the field plots and landscape evolution model simulations displayed considerable annual variability in total load. This variability is the result of different surface structure from imposed surface roughness (ripping by a bulldozer) and their unique topographic structure. Both initial DEM and model parameters have a large influence on predicted sediment load. The results here support the reliability of the model at the sub-metre grid scale.]]> Sat 24 Mar 2018 07:12:13 AEDT ]]> Predicting uncertainty in sediment transport and landscape evolution - the influence of initial surface conditions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24747 Sat 24 Mar 2018 07:11:01 AEDT ]]> Understanding post-mining landforms: utilising pre-mine geomorphology to improve rehabilitation outcomes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45525 Mon 31 Oct 2022 14:24:08 AEDT ]]> A catchment-scale comparison of field observations of a constructed landform with erosion predictions from a landscape evolution model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50375 Mon 24 Jul 2023 11:52:43 AEST ]]>