Dr Matthew Holden

Senior Lecturer

School of Mathematics and Physics
Faculty of Science
m.holden1@uq.edu.au
+61 7 336 51386

Overview

Dr. Matthew Holden is an applied mathematician using dynamic models and decision theory to improve conservation planning when conservation benefits depend on how humans modify their behaviour in response to policy. Some of his projects include saving the African elephant from poaching for ivory and developing novel quantitative methods for invasive and threatened species management. He earned his PhD in Applied mathematics at Cornell University, winning a National Science Foundation Graduate Research fellowship to work on optimization problems in fisheries management, invasive species control, and sustainable agriculture. He received his bachelor’s degree from the University of California, Davis, where he won the University Medal, working on the effect of habitat fragmentation on species persistence.

Qualifications

  • Doctoral Diploma, Cornell University

Publications

  • Holden, Matthew H., Plagányi, Eva E., Fulton, Elizabeth A., Campbell, Alexander B., Janes, Rachel, Lovett, Robyn A., Wickens, Montana, Adams, Matthew P., Botelho, Larissa Lubiana, Dichmont, Catherine M., Erm, Philip, Helmstedt, Kate J., Heneghan, Ryan F., Mendiolar, Manuela, Richardson, Anthony J., Rogers, Jacob G. D., Saunders, Kate and Timms, Liam (2024). Cost–benefit analysis of ecosystem modeling to support fisheries management. Journal of Fish Biology, 104 (6), 1667-1674. doi: 10.1111/jfb.15741

  • Hudgins, Emma J., Hanson, Jeffrey O., MacQuarrie, Chris J. K., Yemshanov, Denys, Baker, Christopher M., Chadès, Iadine, Holden, Matthew H., McDonald‐Madden, Eve and Bennett, Joseph R. (2024). Spread management priorities to limit emerald ash borer (Agrilus planipennis) impacts on United States street trees. Conservation Science and Practice, 6 (3) e13087. doi: 10.1111/csp2.13087

  • Erm, Philip, Balmford, Andrew, Krueck, Nils C., Takashina, Nao and Holden, Matthew H. (2024). Marine protected areas can benefit biodiversity even when bycatch species only partially overlap fisheries. Journal of Applied Ecology, 61 (4), 621-632. doi: 10.1111/1365-2664.14595

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Grants

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Supervision

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Available Projects

  • Accurately estimating trends in population abundance is critical for developing ecological theory, performing environmental assessments, and advising natural resource management. While the error and power of statistical methods for detecting population declines and recoveries are well-studied, they rarely consider the issues of density dependence. If population size time series data occurs in an area where the species is abundant, density dependence may cause the over-prediction of a population decline. In this project, we will calculate the probability of misestimating population growth rates above or below a specified threshold. We will then use the analysis in two applied contexts (1) the probability of falsely predicting a threatened species is declining or recovering and (2) the use of linear population models for predicting species occurrence spatially. In the latter case, we will derive simple rules of thumb for the critical population abundance, in relation to carrying capacity, after which density dependence interferes with accurate predictions of persistence. The critical abundance can be used as a guideline for when it may be appropriate to use linear population process models to predict species occurrence in a density-dependent world. The outcomes of the project can inform conservation planning from reserve design to invasive and threatened species management

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Publications

Journal Article

Conference Publication

  • Mendiolar, Manuela, Filar, Jerzy A., O'Neill, Michael F., Martin, Tyson, Teixeira, Daniella, Webley, James and Holden, Matthew (2023). Estimating recreational catch. 25th International Congress on Modelling and Simulation, Darwin, NT Australia, 9 to 14 July 2023. Canberra, ACT Australia: Modelling and Simulation Society of Australia and New Zealand. doi: 10.36334/modsim.2023.mendiolar

Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • Accurately estimating trends in population abundance is critical for developing ecological theory, performing environmental assessments, and advising natural resource management. While the error and power of statistical methods for detecting population declines and recoveries are well-studied, they rarely consider the issues of density dependence. If population size time series data occurs in an area where the species is abundant, density dependence may cause the over-prediction of a population decline. In this project, we will calculate the probability of misestimating population growth rates above or below a specified threshold. We will then use the analysis in two applied contexts (1) the probability of falsely predicting a threatened species is declining or recovering and (2) the use of linear population models for predicting species occurrence spatially. In the latter case, we will derive simple rules of thumb for the critical population abundance, in relation to carrying capacity, after which density dependence interferes with accurate predictions of persistence. The critical abundance can be used as a guideline for when it may be appropriate to use linear population process models to predict species occurrence in a density-dependent world. The outcomes of the project can inform conservation planning from reserve design to invasive and threatened species management