Ellis R's scientific contributions

Publications (8)

Article
Measuring stream pollutant loads across the Great Barrier Reef (GBR) catchment area (GBRCA) is challenging due to the spatial extent, climate variability, changing land use and evolving land management practices, and cost. Thus, models are used to estimate baseline pollutant loads. The eWater Source modelling framework is coupled with agricultural...
Article
The eWater Source modelling framework has been modified to support the Great Barrier Reef (GBR) Dynamic SedNet catchment modelling concept, which is used to simulate fine sediment and particulate nutrient generation, loss, and transport processes across GBR catchments. Catchment scale monitored data sets are used to calibrate and evaluate models. M...
Conference Paper
Full-text available
Agriculture in the catchment areas adjacent to the World Heritage listed Great Barrier Reef (GBR) Marine Park generates pollutants that are a concern for the health of the Reef. Under the Paddock to Reef Integrated Monitoring, Modelling and Reporting program (P2R) of the Reef Plan, the impacts of improved agricultural management practices on water...

Citations

... 3 of 21 provided below; for a detailed overview the reader is referred to McCloskey et al. (2021) and references therein. Mean annual rainfall across all catchments ranges from 500 to 4,500 mm with a general increase in mean annual rainfall from south to north (McCloskey et al., 2021). ...
... One possible formulation is the (S-C)/(N-C) ratio. This formulation, termed as the percentage 272 change in anthropogenic baseline, is used for setting water quality targets and reporting 273 progress for the Great Barrier Reef catchments in Australia (Waters et al., 2013Cases A and F illustrate the first assumption; using this formulation produces identical 285 outputs (-50%) in the two cases. In Case A, there are 30 and 50 suitable flood events with 286 current and natural conditions, respectively. ...
... Department of Resources paddock modelling team). The paddock scale modelling is provided to the catchment modelling team by Department of Resources paddock modellers (Shaw et al., 2013) and is not described in further detail here. The management practice baseline information is provided to the modelling teams by the Management Practice Adoption team in the Queensland Department of Agriculture and Fisheries (McCosker and Northey, 2015). ...
... An order-of-magnitude approach was taken to estimate increases in future gully erosion using median (typical) gully dimensions and head retreat rates, regional soil survey data on bulk density and subsoil silt/clay fraction for soil classes, and the number of stream segments (1:25k scale) that had a portion of their length above the slopearea threshold for channel incision but that were not already likely channelled. This 'unit gully' approach for typical gully dimensions and rates is often used in regional modelling (McCloskey, Waters, Ellis, & Carroll, 2014). Field access to the station was limited or restricted. ...
... A 60% reduction in total PRN loads from the Burdekin Basin can be achieved by reducing both PN and DIN loads in various combinations . The total PRN load from the manageable area (cropping and grazing lands) includes a long-term (over 25 years) average modelled load of PN (from grazing lands) of 2791 tonnes and a load of DIN from the entire lower Burdekin sugarcane growing region of 1098 tonnes for a total PRN of 3889 tonnes (Dougall et al., 2014). A 60% reduction in this PRN load is required to meet 0.63 mg L ?1 offshore target which is thus a 2333 tonnes reduction target. ...
... When the N fertilizer is applied in excess to crop demand, it reaches the GBR lagoon via submarine groundwater discharge (Stieglitz, 2005) and runoff (De'ath et al., 2012). The nutrient load has increased with an alarming trend over the last 150 years with a 2-6 time increase in total N (Kroon et al., 2012;Waters et al., 2014) and a 2-3 time increase in DIN (Kroon et al., 2012;Mitchell et al., 2009;Waters et al., 2014). ...
... The selected efficiency criteria include the Nash-Sutcliffe efficiency (NSE) [65] in standard squared form (E2), logarithmic form (logE2), the relative volume error (pBias) and the Kling-Gupta efficiency (KGE) measure [75]. The NSE criteria used to evaluate each model performance were split into: very good/excellent E > 075; good 0.65 < E ≤ 0.75; satisfactory 0.5 < E ≤ 0.65; unsatisfactory/poor E ≤ 0.5, according to [76]. Visualizations, calculations of the water balance, as well as the relative similarity of each catchment (geology, soil, land use and climate) was used to assess the selected set of model parameters. ...