Biometric Research is a consulting firm specializing in the development and application of innovative modeling and analyses for enhanced natural resource management outcomes. We help our clients design effective research and monitoring programs, and get the most out of their data to better support their research and management needs.
Our areas of expertise are, ecological research and monitoring design, likelihood estimation, Bayesian modeling, population modeling, and stochastic simulations. Based in Albany, Western Australia, we conduct research for universities, government agencies and private firms worldwide.
Developing an adaptive management framework for invasive predator control and native fauna conservation in Western Australia.
Client: Government of Western Australia, Department of Parks and Wildlife, Forest and Ecosystem Management
We have broken this project into distinct steps to keep it tractable. The first phase was to establish an annual analysis and reporting cycle for the Western Shield monitoring program. For this I have developed modeling methods that can accommodate and unify the various data types collected by different collaborating field offices and have began the process of developing useful management and reporting metrics. The second step will be to use the model to evaluate the efficacy of various invasive predator baiting methods employed by the program.
Hierarchical models for informing Atlantic reef fish stock assessment.
Client: National Oceanic and Atmospheric Administration, North Carolina, USA
Investigating the use of multiple sampling gears in combination with hierarchical model structures to produce indices of abundance that inform the stock assessment of marine reef fish in the mid-Atlantic. Traditionally, baited chevron traps have been used for fishery-independent index development along the southeast coast of the US. In recent years, these traps have been fitted with cameras to increase our understanding of the efficacy of these indices; however, it was quickly recognized that camera counts of fish can serve as an additional fisheries index. More recently, the desire has been to develop analytical methods to integrate both of the trap catches and camera counts into a single integrated fishery index. Developing these modeling methods is my primary role. (more information can be found here and here)
Gwinn, D. C., N. M. Bacheler, and K. Shertzer (2017) Integrated data from chevron traps and video cameras into a standardized index of abundance for vermilion snapper (Rhomboplites aurorubens). SEDAR 55-WP 07. SEDAR, North Charleston, SC. 59 pp.
Gwinn, D.C. 2015. Emerging tools for population monitoring: applications to fisheries science. Invited seminar presented at NOAA’s Southeast Fisheries Science Center, Beaufort, North Carolina, USA. (link)
Coggins, L.G., Bacheler, N.M., and D.C. Gwinn (2014). Occupancy models for monitoring marine fish: a Bayesian hierarchical approach to modeling incomplete detection with a novel gear combination. PLoS ONE 9(9):e108302. doi:10.1371/journal.pone.0108302
Gwinn, D.C. and J. Lyon. 2014. Emerging tools for population monitoring: some fishy case studies. Invited seminar presented at the Department of Environment and Primary Industries, Melbourne, Australia. (link)
Management triggers for the Barrow Island marsupial monitoring.
Contributed to the refinement of the Barrow Island faunal monitoring program. Developed preliminary population viability analysis for Golden Bandicoots to set biological meaningful triggers for management. Evaluated statistical options for approximating 80% statistical power for detecting when management triggers have been exceeded. Click here for more information.
Kuskokwim River Chinook salmon fishery stock assessment.
Client: Auburn University, Alabama, USA
Investigating under what circumstances drainage-wide Bayesian state-space run reconstruction models provide accurate and precise estimates of Kuskokwim River Chinook salmon abundance and productivity. Assessing model performance under various monitoring designs and various hypotheses about the spatial patterns and variation in sub-stock productivity.
Catalano, M.J., Staton, B.A., Farmer, T., Gwinn, D.C., and Fleischman, S. (2016)
Evaluating assessment strategies for Kuskokwim River chinook salmon. Arctic-Yukon-
Kuskokwim Sustainable Salmon Initiative, Project Final Product. DOI: 10.13140/RG.2.2.11129.06240
Large-scale monitoring of Murray cod.
Client: Department of Environment and Primary Industries, Victoria, Australia
Forster, A. 2011. Enhanced Murray cod recreational fisheries outcomes across the Murray-Darling basin through improved collaboration and alignment of management and research activities. FRDC Project Report No. 2009/060, Fisheries Research Development Corporation.
Developing novel methods for estimating patterns in abundance for Murray cod in the Murray-Darling river basin. Evaluating multiple Bayesian approaches to estimate Murray cod abundance while accounting for incomplete detection. Investigating the application of fishery independent and dependent data for future monitoring programs and various model structures to incorporate both data types in to a unified analysis.
Gwinn, D.C., C. Todd, G. Butler, A. Kitchingman, L. Coggins, P. Brown, and T. Hunt. (in prep). Monitoring a threatened fish in the third largest river basin in the world: accounting for incomplete detection under budgetary limitations.
Informing environmental flow policies for fish in the Murray-Darling River system.
Client: Department of Environment and Primary Industries, Victoria, Australia; Charles Darwin University, Northern Territories, Australia; and University of Western Australia, Western Australia, Australia
Evaluated relationships between fish spawning, recruitment and multiple flow and non-flow environmental factors. The key to this project was to apply our models to predict the outcomes of competing flow management options for the Murray-Darling River system. These options included flow releases with different antecedent flow conditions, with different current flow conditions and during different water temperatures. (click here for more information, JAE blog)