Diffuse transport of sediments through soil creep has been studied for nearly 150 years and in that time scientist have derive many mathematical explanations using various assumptions. However, there has been a consistent lack in agreement between applied erosion rates and velocity profiles versus those derived through empirical theory. I aim to determine the mechanisms driving landscape evolution to better understand dryland landscapes. In particular, I am focusing my work primarily on the Great Sandy Region National Park (Cooloola) QLD, AUS which provides a premier natural laboratory setting because of its uniform sediment, continuous chronosequence and (nearly) endless sediment supply . I will tease apart the fundamental components of soil movement empirically and through a variety field base measurements. When the models are complete, I will extend our findings to the Australian arid and semiarid regions to better understand their evolution in respect to landscape, water and nutrient redistribution.
Lake Sediment Paleoclimate Reconstruction
Picture of the Upper Coalstoun Lake in 2018. Note that no water is present in the lake at the time of sampling.
Australia is recognised as the driest inhabited continent with high variability in rainfall, both spatially and temporally. Due to the heterogeneity of rainfall across Australia, the effects of climate change may have dramatic effects on local water supply, agriculture, and ecosystem services. However, the true responses of climate change is unclear because of the lack of understanding of past climate variability and the complex interactions between human disturbances and future climate scenarios. The goal of this project is to better understand the long-term climate variability of eastern Australia’s subtropics by conducting a multi-proxy analysis of lake sediment cores collected from Coalstoun Lakes, QLD, AUS. I am focusing on two main research areas creating a modern hydrological model and evaluating the paleo-climate of the region by utilizing stable isotopes. Combining both hydrology and stable isotopes disciplines, we will provided a high resolution and long term (last two glacial cycles) climate history of eastern Australia subtropics. The implications of our work will directly address frequency, severity, and duration of drought hazards, anthropogenic environmental impacts, and natural and modified climate variability.
Soil Thickness and Transport
Picture of Johnston Draw a granitic watershed within the Reynolds Creek Critical Zone Observatory (photo credit: Hugo Sindelar).
Soil thickness is a result between soil production ( the conversion of bedrock to soil via chemical and physical weathering), and the flux of soil out of the system. Soil thickness is a key parameter in many environmental disciplines. It is critical in hillslope stability, landscape evolution, drainage density, channel activation, runoff response times, plant-available water, rooting depth, and the storage of nutrients. Despite its importance, spatially distributed soil thickness data are rarely obtained due to the challenges associated with time, cost, and the difficulty in physically obtaining these measurements. I aim to improve the understanding of the mechanisms driving soil thickness/transport and determine a universal model to extrapolate soil thickness spatially within all ecosystems, climates and lithologies. These questions are currently being assessed through high resolution elevation data, soil pit excavations and mass balance approaches.
Soil Organic Carbon Stocks
Soil pit (JDT 6a) within the Reynolds Creek Critical Zone Observatory used to determine total SOC stocks.
Soils are the largest terrestrial reservoirs, containing ~2,400 Pg C globally, which is more than both the above ground biomass and atmosphere combined. In fact, as much as 75% of the terrestrial stocks are organic. However, absolute stocks estimates are difficult to determine due to uncertainty surrounding soil organic carbon (SOC) spatial and temporal distribution. In particular, SOC studies have focus on near surface stocks but fail to include deep soils (> 30 cm) which creates large uncertainty in how anthropogenic perturbations and/or climate change may shift soils to a source or a sink of atmospheric carbon. Currently, my projects are set in semi-arid environments (Reynolds Creek, ID, USA) where my work aims to determine total SOC stocks for the entire soil profile and evaluate topographic influences. In addition, I hope to provide new and novel approaches for determining accurate total SOC estimates across complex terrains with minimum time, effort, and cost that can help infer local and regional carbon flux models.
Remote Sensing and Surface Processes - Mapping
Picture of the Great Sandy Region National Park near Rainbow Beach.
When high resolution digital elevation models (DEMs) became readily available in the early 2000's, it provided a new level of detail in the landscape that had never been observed with traditional geomorphic mapping formats. I am interested in the application of LiDAR-based DEMs and evaluating the landscape expressions that may indicate surface processes and relative age. In particular, the south eastern Queensland dune fields provide an ideal location due to its wonderfully preserve chronosequences (extending well into the Pleistocene) and access to climate and DEM data. The results from our work will help create new techniques to more accurately understand landscapes and their processes but will be a important foundation for future research within this field area.
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