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Dr Erin Peterson
Principal Research Fellow
Queensland University of Technology
Erin Peterson is a Principle Research Fellow in the Queensland University of Technology Institute for Future Environments and the ARC Centre for Excellence in Mathematical and Statistical Frontiers (ACEMS), in Brisbane, Australia. Erin’s educational background and experience allow her to work at the interface of landscape ecology, geographic information science, and environmental statistics. Her research relates to broad-scale modelling; regional monitoring program design, assessment, and reporting; and the development of methods that better represent the spatial location, configuration, and connectivity of features in statistical models. Her transdisciplinary work has been published in top-tier journals, including the Journal of the American Statistical Association and Ecology Letters. She was also part of a multidisciplinary team awarded the 2016 US Forest Service Rise to the Future Award for the successful knowledge transfer of statistical methods that have become standard-practice for aquatic resource management. Erin is currently a Regional Representative of The International Environmetrics Society (TIES).
Research Interests:
Environmental monitoring assessment and reporting
Spatial networks
Spatial statistics
Qualifications:
B.S. Forest Conservation, Michigan State University (1995)
M.S. Forestry, Colorado State University (2001)
Ph.D. Earth Resources, Colorado State University (2005)
Projects
Prizes, awards and special recognition
2018
ARC Centre of Excellence in Mathematical & Statistical Frontiers Impact & Engagement Award 2018 was awarded to Erin Peterson. Awarded from the ACEMS.
ARC Centre of Excellence in Mathematical & Statistical Frontiers Impact & Engagement Award 2018 ($1000), Date: 01/11/18. Awarded at ACEMS retreat 2018.
2016
Vice Chancellors Performance Award for Research Impact 2016 was awarded to Erin Peterson. Awarded from the Queensland University of Technology.
US Forest Service, Rise to the Future Award 2016 was awarded to Erin Peterson. Awarded from the US Forest Service.
Publications
Invited talks, refereed proceedings and other conference outputs
Pearse, A. R., McGree J., Som N., & Peterson E.
(2018). SSNdesign: an R package for pseudo-Bayesian optimal and adaptive design on stream networks.
UseR!2018.
Peterson, E.
(2017). Monitoring Through Many Eyes.
62nd RBRAS and 17th Annual SEAGRO joint meeting.
Peterson, E.
(2017). Environmental and Biological Monitoring in the Era of Big Data.
62nd RBRAS and 17th Annual SEAGRO joint meeting.
Bednarz, T., Kim J., Brown R., James A., Burrage K., Clifford S., et al.
(2016). Virtual reality for conservation.
Web3D 2016: 21st International Conference on Web3D Technology. 177–178. doi: 10.1145/2945292.2945319
Peterson, E.
(2016). Monitoring through many eyes.
International Statistical Ecology Conference.
Mengersen, KL., & Peterson E.
(2016). Elicitation of expert information for conservation.
The International Environmetrics Society.
Psaltis, S. T. P., Vercelloni J., Kim J., Brown R., James A., Burrage K., et al.
(2016). Virtual reality for conservation.
Web3D 2016. doi: 10.1145/2945292.2945319
Journal Articles
Parsons, S.., Fuller S.., Peterson E., & Doohan B..
(2019). The sound of management: Acoustic monitoring for agricultural industries.
Ecological Indicators. 96(Part 1), 739-746. doi: 10.1016/j.ecolind.2018.09.029
Turschwell, M. P., Stewart-Koster B., Leigh C., Peterson E., Sheldon F., & Balcombe S. R.
(2018). Riparian restoration offsets predicted population consequences of climate warming in a threatened headwater fish.
Aquatic Conservation: Marine and Freshwater Ecosystems. 28(3), 575 - 586. doi: 10.1002/aqc.2864
Peterson, N., Hamilton G. S., Almany G., Pita J., Choat J. Howard, Hamilton R. J., et al.
(2018). Giant coral reef fishes display markedly different susceptibility to night spearfishing.
Ecology and Evolution. 8(20), 10247 - 10256. doi: 10.1002/ece3.4501
Vercelloni, J., Clifford S., M. Caley J., Pearse A. R., Brown R., James A., et al.
(2018). Using virtual reality to estimate aesthetic values of coral reefs.
Royal Society Open Science. 5(4), 172226. doi: 10.1098/rsos.172226
Leigh, C., Kandanaarachchi S., McGree J., Hyndman R. J., Alsibai O., Mengersen KL., et al.
(2018). Predicting sediment and nutrient concentrations in rivers using high frequency water quality surrogates.
Leigh, C., Alsibai O., Hyndman R. J., Kandanaarachchi S., King O. C., McGree J., et al.
(2018). A framework for automated anomaly detection in high frequency water-quality data from in situ sensors.
arXiv preprints.
Hoef, J. M. Ver, Peterson E., Hooten M. B., Hanks E. M., & Fortin M-J.
(2018). Spatial Autoregressive Models for Statistical Inference from Ecological Data.
Ecological Monographs. 88(1), 36-59. doi: 10.1002/ecm.1283
Peterson, E., & Pearse A. R.
(2017). IDW-Plus: An ArcGIS Toolset for Calculating Spatially Explicit Watershed Attributes for Survey Sites.
JAWRA Journal of the American Water Resources Association. doi: 10.1111/1752-1688.12558
Turschwell, M. P., Balcombe S. R., E. Steel A., Sheldon F., & Peterson E.
(2017). Thermal habitat restricts patterns of occurrence in multiple life-stages of a headwater fish.
Freshwater Science. 36(2), 402 - 414. doi: 10.1086/691553
Mengersen, KL., Peterson E., Clifford S., Ye N., Kim J., Bednarz T., et al.
(2017). Modelling imperfect presence data obtained by citizen science.
Environmetrics. 28(5), e2446. doi: 10.1002/env.2446
Peterson, E., Cunningham S. A., Thomas M., Collings S., Bonnett G. D., & Harch B.
(2017). An assessment framework for measuring agroecosystem health.
Ecological Indicators. 79, 265 - 275. doi: 10.1016/j.ecolind.2017.04.002
Isaak, D. J., Wenger S. J., Peterson E., Hoef J. M. Ver, Nagel D. E., Luce C. H., et al.
(2017). The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd-Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams.
Water Resources Research. doi: 10.1002/2017WR020969
Mengersen, KL., Peterson E., Clifford S., Ye N., Kim J., Bednarz T., et al.
(2017). Modelling imperfect presence data obtained by citizen science.
Environmetrics. 28, doi: 10.1002/env.2446
Isaak, D. J., Hoef J. M. Ver, Peterson E., Horan D., & Nagel D.
(2017). Scalable population estimates using spatial-stream-network (SSN) models, fish density surveys, and national geospatial database frameworks for streams.
Canadian Journal of Fisheries and Aquatic Sciences. 74(2), 147-156. doi: 10.1139/cjfas-2016-0247
Mengersen, KL., Peterson E., Clifford S., Ye N., Kim J., Bednarz T., et al.
(2017). Modelling imperfect presence data obtained by citizen science.
Environmetrics. 28, doi: 10.1002/env.2446
Turschwell, M. P., Peterson E., Balcombe S. R., & Sheldon F.
(2016). To aggregate or not? Capturing the spatio-temporal complexity of the thermal regime.
Ecological Indicators. 67, 39-48. doi: 10.1016/j.ecolind.2016.02.014
E. Steel, A., Sowder C., & Peterson E.
(2016). Spatial and temporal variation of water temperature regimes on the Snoqualmie river network.
JAWRA Journal of the American Water Resources Association. 52(3), 769-787. doi: 10.1111/1752-1688.12423
Isaak, D. J., Young M. K., Luce C. H., Hostetler S. W., Wenger S. J., Peterson E., et al.
(2016). Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity.
Proceedings of the National Academy of Sciences. 113(16), 4374-4379. doi: 10.1073/pnas.1522429113
Rushworth, A. M., Peterson E., Hoef J. M. Ver, & Bowman A. W.
(2015). Validation and comparison of geostatistical and spline models for spatial stream networks.
Environmetrics. 26(5), 327-338. doi: 10.1002/env.2340
Technical reports and unrefereed outputs
Vercelloni, J., Mengersen KL., Peterson E., Bednarz T., & Brown R.
(2016). Monitoring Through Many Eyes:Spatially enabling people to protect the Great Barrier Reef.
