Ph.d (Queensland University of Technology)
Large areas of Australia are experiencing sustained anthropogenic pressure, environmental degradation and biodiversity loss. I am passionate about protecting our ecosystems and biodiversity through the use of interdisciplinary and innovative technological approaches in ecological research. I have a particular interest in using ecoacoustic innovations to monitor changes in ecosystem health and impacts on biodiversity. I am a level 3 Mentoring Postgraduate Supervisor and current student projects in my research group include:- Evolution of intra and intersexual signalling in two frog species, Litoria wilcoxii and Litoria jungguy
- Acoustic signalling and subspecies divergence in two Australasian treecreeper species (Climacteris picumnus and Cormobates leucophaea).
- Evaluation of faunal biodiversity in urban restoration
- Conservation biology of threatened native olives (genus Notelaea) in southern Queensland
- Using ecoacoustic monitoring to monitor biodiversity and guide urban development in peri-urban settings
- An examination of the influence of landscape structure on insectivorous bats and birds in cotton
Additional information
I collaborate with the Australian Wildlife Conservancy (AWC) to provide real world experience to undergraduate students in BVB311 Conservation Biology. I am also engaged in biodiversity monitoring and ecoacoustics research at the AWC Bowra Wildlife Sanctuary. I am also collaborating with the Cotton Research Development Corporation on a research project to deliver new technologies to improve natural resources (biodiversity) on Australian cotton farms. This project funding will have important scientific benefit as well as societal outcomes as on-ground engagement with landholders will lead to improved biodiversity management in cotton dominated landscapes.
- Scarpelli, M., Tucker, D., Doohan, B., Roe, P. & Fuller, S. (2023). Spatial dynamics of soundscapes and biodiversity in a semi-arid landscape. Landscape Ecology, 38(2), 463–478. https://eprints.qut.edu.au/238221
- Eichinski, P., Alexander, C., Roe, P., Parsons, S. & Fuller, S. (2022). A Convolutional Neural Network Bird Species Recognizer Built From Little Data by Iteratively Training, Detecting, and Labeling. Frontiers in Ecology and Evolution, 10. https://eprints.qut.edu.au/238222
- Vella, K., Capel, T., Gonzalez, A., Truskinger, A., Fuller, S. & Roe, P. (2022). Key Issues for Realizing Open Ecoacoustic Monitoring in Australia. Frontiers in Ecology and Evolution, 9. https://eprints.qut.edu.au/227630
- Manawaduge, C., Brown, G., Simmons, C., Phillips, M. & Fuller, S. (2022). Molecular systematic analysis of the genus Notelaea (Oleaceae): SNPs from high-density DArT-sequencing unravel the mystery of the species limits of threatened species of Notelaea. Journal of Systematics and Evolution. https://eprints.qut.edu.au/238219
- Farina, A., Eldridge, A., Fuller, S. & Pavan, G. (2022). Editorial: Advances in ecoacoustics. Frontiers in Ecology and Evolution, 10. https://eprints.qut.edu.au/238220
- Farina, A., Righini, R., Fuller, S., Li, P. & Pavan, G. (2021). Acoustic complexity indices reveal the acoustic communities of the old-growth Mediterranean forest of Sasso Fratino Integral Natural Reserve (Central Italy). Ecological Indicators, 120. https://eprints.qut.edu.au/232842
- Fuller, S., Holgate, B. & Maggini, R. (2021). Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning. Ecological Indicators, 126. https://eprints.qut.edu.au/232843
- Scarpelli, M., Liquet, B., Tucker, D., Fuller, S. & Roe, P. (2021). Multi-Index Ecoacoustics Analysis for Terrestrial Soundscapes: A New Semi-Automated Approach Using Time-Series Motif Discovery and Random Forest Classification. Frontiers in Ecology and Evolution, 9. https://eprints.qut.edu.au/232839
- Doohan, B., Kemp, J. & Fuller, S. (2019). Diversity favours the old: Metrics of avian diversity increase in aging regrowth Acacia woodlands of semi-arid eastern Australia. Global Ecology and Conservation, 20, 1–11. https://eprints.qut.edu.au/133417
- Alves, J., Carneiro, M., Cheng, J., de Matos, A., Rahman, M., Loog, L., Campos, P., Wales, N., Eriksson, A., Manica, A., Fuller, S. & other, a. (2019). Parallel adaptation of rabbit populations to myxoma virus. Science, 363(6433), 1319–1326. https://eprints.qut.edu.au/126869
- Title
- Improving the ability of the Australian cotton industry to report its sustainability performance
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- QUT1705
- Start year
- 2016
- Keywords
- Agriculture; Agroecosystem Health; Natural Resource Management