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Dr Matthew Holden
Dr

Matthew Holden

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+61 7 336 51386

Overview

Background

Dr. Matthew Holden is an applied mathematician using modelling to improve environmental outcomes. Mathematical tools unify his research across several diverse topics in biodiversity conservation, theoretical ecology, fisheries, and other branches of natural resource management. He is especially interested in how we improve the well-being of human populations at least cost to biodiversity.

Dr. Holden currently serves as the President of the Resource Modeling Association, an international society of economists, mathematicians, and envrionmental scientists unified via their passion for modelling and other quantitative methods to solve the world's hardest natural resource management problems. He also is the Deputy Director of Research for the Centre for Biodiversity and Conservation Science (CBCS), and is also affiliated with the Centre for Marine Science (CMS).

Dr. Holden was awarded his Ph.D. in Applied Mathematics at Cornell University, where he used dynamical systems, optimal control, and statistical theory to recommend policies to improve the management of invasive species, agricultural pests, and fisheries. 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 the persistence of endangered species.

Availability

Dr Matthew Holden is:
Available for supervision
Media expert

Qualifications

  • Doctoral Diploma, Cornell University

Works

Search Professor Matthew Holden’s works on UQ eSpace

57 works between 2012 and 2026

21 - 40 of 57 works

2022

Journal Article

From climate change to pandemics: decision science can help scientists have impact

Baker, Christopher M., Campbell, Patricia T., Chades, Iadine, Dean, Angela J., Hester, Susan M., Holden, Matthew H., McCaw, James M., McVernon, Jodie, Moss, Robert, Shearer, Freya M. and Possingham, Hugh P. (2022). From climate change to pandemics: decision science can help scientists have impact. Frontiers in Ecology and Evolution, 10 792749. doi: 10.3389/fevo.2022.792749

From climate change to pandemics: decision science can help scientists have impact

2021

Journal Article

Invasive wild pigs (Sus scrofa) as a human‐mediated source of soil carbon emissions: Uncertainties and future directions

O’Bryan, Christopher J., Patton, Nicholas R., Hone, Jim, Lewis, Jesse S., Berdejo‐Espinola, Violeta, Risch, Derek R., Holden, Matthew H. and McDonald‐Madden, Eve (2021). Invasive wild pigs (Sus scrofa) as a human‐mediated source of soil carbon emissions: Uncertainties and future directions. Global Change Biology, 28 (3), e1-e3. doi: 10.1111/gcb.15992

Invasive wild pigs (Sus scrofa) as a human‐mediated source of soil carbon emissions: Uncertainties and future directions

2021

Other Outputs

Los jabalíes, una de las especies invasoras más dañinas, liberan cada año las mismas emisiones que un millón de automoviles

O'Bryan, Christopher J., McDonald-Madden, Eve, Hone, Jim, Holden, Matthew H. and Patton, Nicholas R. (2021, 07 23). Los jabalíes, una de las especies invasoras más dañinas, liberan cada año las mismas emisiones que un millón de automoviles The Conversation

Los jabalíes, una de las especies invasoras más dañinas, liberan cada año las mismas emisiones que un millón de automoviles

2021

Other Outputs

‘One of the most damaging invasive species on Earth’: wild pigs release the same emissions as 1 million cars each year

O'Bryan, Christopher J., McDonald-Madden, Eve, Hone, Jim , Holden, Matthew H. and Nicholas R. Patton (2021, 07 20). ‘One of the most damaging invasive species on Earth’: wild pigs release the same emissions as 1 million cars each year The Conversation

‘One of the most damaging invasive species on Earth’: wild pigs release the same emissions as 1 million cars each year

2021

Journal Article

Unrecognized threat to global soil carbon by a widespread invasive species

O’Bryan, Christopher J., Patton, Nicholas R., Hone, Jim, Lewis, Jesse S., Berdejo‐Espinola, Violeta, Risch, Derek R., Holden, Matthew H. and McDonald‐Madden, Eve (2021). Unrecognized threat to global soil carbon by a widespread invasive species. Global Change Biology, 28 (3) gcb.15769, 1-6. doi: 10.1111/gcb.15769

Unrecognized threat to global soil carbon by a widespread invasive species

2021

Journal Article

Poacher-population dynamics when legal trade of naturally deceased organisms funds anti-poaching enforcement

Holden, Matthew H. and Lockyer, Jakeb (2021). Poacher-population dynamics when legal trade of naturally deceased organisms funds anti-poaching enforcement. Journal of Theoretical Biology, 517 110618, 1-10. doi: 10.1016/j.jtbi.2021.110618

Poacher-population dynamics when legal trade of naturally deceased organisms funds anti-poaching enforcement

2020

Journal Article

Assessing the accuracy of density‐independent demographic models for predicting species ranges

Holden, Matthew H., Yen, Jian D. L., Briscoe, Natalie J., Lahoz‐Monfort, José J., Salguero‐Gómez, Roberto, Vesk, Peter A. and Guillera‐Arroita, Gurutzeta (2020). Assessing the accuracy of density‐independent demographic models for predicting species ranges. Ecography, 44 (3), 345-357. doi: 10.1111/ecog.05250

Assessing the accuracy of density‐independent demographic models for predicting species ranges

2020

Other Outputs

Custom training and technical support for the fishery stock assessment software ‘stock synthesis’

O'Neill, M. F., Lovett, R., Bessell-Browne, P., Streipert, S., Leigh, G., Campbell, A., Northrop, A., Wortmann, J., Helidoniotis, F., Yang, W. H., Holden, M. and French, S. (2020). Custom training and technical support for the fishery stock assessment software ‘stock synthesis’. Brisbane, QLD, Australia: Department of Agriculture and Fisheries, Queensland.

Custom training and technical support for the fishery stock assessment software ‘stock synthesis’

2020

Journal Article

Intense human pressure is widespread across terrestrial vertebrate ranges

O'Bryan, Christopher J., Allan, James R., Holden, Matthew, Sanderson, Christopher, Venter, Oscar, Di Marco, Moreno, McDonald-Madden, Eve and Watson, James E.M. (2020). Intense human pressure is widespread across terrestrial vertebrate ranges. Global Ecology and Conservation, 21 e00882, e00882. doi: 10.1016/j.gecco.2019.e00882

Intense human pressure is widespread across terrestrial vertebrate ranges

2020

Journal Article

Informing management decisions for ecological networks, using dynamic models calibrated to noisy time-series data

Adams, Matthew P., Sisson, Scott A., Helmstedt, Kate J., Baker, Christopher M., Michaela Plein, Holden, Matthew H., Holloway, Jacinta, Mengersen, Kerrie L. and McDonald-Madden, Eve (2020). Informing management decisions for ecological networks, using dynamic models calibrated to noisy time-series data. Ecology Letters, 23 (4) ele.13465, 607-619. doi: 10.1111/ele.13465

Informing management decisions for ecological networks, using dynamic models calibrated to noisy time-series data

2020

Other Outputs

Data for "Assessing Monitoring Program Design Options for Koalas in South East Queensland"

Rhodes, Jonathan and Holden, Matthew (2020). Data for "Assessing Monitoring Program Design Options for Koalas in South East Queensland". The University of Queensland. (Dataset) doi: 10.14264/7288e73

Data for "Assessing Monitoring Program Design Options for Koalas in South East Queensland"

2019

Journal Article

Forecasting species range dynamics with process‐explicit models: matching methods to applications

Briscoe, Natalie J., Elith, Jane, Salguero‐Gómez, Roberto, Lahoz‐Monfort, José J., Camac, James S., Giljohann, Katherine M., Holden, Matthew H., Hradsky, Bronwyn A., Kearney, Michael R., McMahon, Sean M., Phillips, Ben L., Regan, Tracey J., Rhodes, Jonathan R., Vesk, Peter A., Wintle, Brendan A., Yen, Jian D.L. and Guillera‐Arroita, Gurutzeta (2019). Forecasting species range dynamics with process‐explicit models: matching methods to applications. Ecology Letters, 22 (11) ele.13348, 1940-1956. doi: 10.1111/ele.13348

Forecasting species range dynamics with process‐explicit models: matching methods to applications

2019

Journal Article

How conservation initiatives go to scale

Mills, Morena, Bode, Michael, Mascia, Michael B., Weeks, Rebecca, Gelcich, Stefan, Dudley, Nigel, Govan, Hugh, Archibald, Carla L., Romero-de-Diego, Cristina, Holden, Matthew, Biggs, Duan, Glew, Louise, Naidoo, Robin and Possingham, Hugh P. (2019). How conservation initiatives go to scale. Nature Sustainability, 2 (10), 935-940. doi: 10.1038/s41893-019-0384-1

How conservation initiatives go to scale

2019

Journal Article

Foreword to the Special Issue on Natural Resource Mathematics

Holden, Matthew H., Lee, Sharon and Yang, Wen-Hsi (2019). Foreword to the Special Issue on Natural Resource Mathematics. Environmental Modeling and Assessment, 24 (4), 365-367. doi: 10.1007/s10666-019-09677-7

Foreword to the Special Issue on Natural Resource Mathematics

2019

Journal Article

A framework to evaluate animal welfare implications of policies on rhino horn trade

Derkley, Tessa, Biggs, Duan, Holden, Matthew and Phillips, Clive (2019). A framework to evaluate animal welfare implications of policies on rhino horn trade. Biological Conservation, 235, 236-249. doi: 10.1016/j.biocon.2019.05.004

A framework to evaluate animal welfare implications of policies on rhino horn trade

2019

Other Outputs

Harvest strategies for the Torres Strait Finfish fishery

Hutton, Trevor, O’Neill, Michael, Leigh, George, Holden, Matt and Deng, Roy (2019). Harvest strategies for the Torres Strait Finfish fishery. Canberra, ACT, Australia: Australian Government Australian Fisheries Management Authority.

Harvest strategies for the Torres Strait Finfish fishery

2019

Journal Article

The mesoscavenger release hypothesis and implications for ecosystem and human well‐being

O'Bryan, Christopher J., Holden, Matthew H. and Watson, James E.M. (2019). The mesoscavenger release hypothesis and implications for ecosystem and human well‐being. Ecology Letters, 22 (9) ele.13288, 1340-1348. doi: 10.1111/ele.13288

The mesoscavenger release hypothesis and implications for ecosystem and human well‐being

2019

Journal Article

Reply to ‘Consider species specialism when publishing datasets’ and ‘Decision trees for data publishing may exacerbate conservation conflict’

Tulloch, Ayesha I. T., Auerbach, Nancy, Avery-Gomm, Stephanie, Dickman, Chris R., Fisher, Diana O., Grantham, Hedley, Holden, Matthew H., Lavery, Tyrone H., Leseberg, Nicholas P., O’Connor, James, Roberson, Leslie, Smyth, Anita K., Stone, Zoe, Tulloch, Vivitskaia, Turak, Eren, Watson, James E. M. and Wardle, Glenda M. (2019). Reply to ‘Consider species specialism when publishing datasets’ and ‘Decision trees for data publishing may exacerbate conservation conflict’. Nature Ecology and Evolution, 3 (3), 320-321. doi: 10.1038/s41559-019-0805-6

Reply to ‘Consider species specialism when publishing datasets’ and ‘Decision trees for data publishing may exacerbate conservation conflict’

2018

Journal Article

Increase anti-poaching law-enforcement or reduce demand for wildlife products?: a framework to guide strategic conservation investments

Holden, Matthew H., Biggs, Duan, Brink, Henry, Bal, Payal, Rhodes, Jonathan and McDonald-Madden, Eve (2018). Increase anti-poaching law-enforcement or reduce demand for wildlife products?: a framework to guide strategic conservation investments. Conservation Letters, 12 (3) e12618, e12618. doi: 10.1111/conl.12618

Increase anti-poaching law-enforcement or reduce demand for wildlife products?: a framework to guide strategic conservation investments

2018

Journal Article

Reach and messages of the world's largest ivory burn

Braczkowski, Alexander, Holden, Matthew H., O'Bryan, Christopher, Choi, Chi-Yeung, Gan, Xiaojing, Beesley, Nicholas, Gao, Yufang, Allan, James, Tyrrell, Peter, Stiles, Daniel, Brehony, Peadar, Meney, Revocatus, Brink, Henry, Takashina, Nao, Lin, Ming-Ching, Lin, Hsien-Yung, Rust, Niki, Salmo, Severino G., Watson, James Em, Kahumbu, Paula, Maron, Martine, Possingham, Hugh P. and Biggs, Duan (2018). Reach and messages of the world's largest ivory burn. Conservation Biology, 32 (4), 765-773. doi: 10.1111/cobi.13097

Reach and messages of the world's largest ivory burn

Funding

Current funding

  • 2025 - 2029
    Resolving the value of information paradox for ecological management
    ARC Discovery Projects
    Open grant
  • 2023 - 2026
    Zooplankton: the missing link in modelling the ocean carbon cycle
    ARC Discovery Projects
    Open grant

Past funding

  • 2024 - 2025
    Value of Information Theory to improve the management of biological populations Biomathematics
    United States Army Research Office
    Open grant
  • 2020
    Koala Monitoring Program
    Queensland Government Department of Environment and Science
    Open grant
  • 2019 - 2023
    The value of model complexity for fisheries management
    ARC Discovery Early Career Researcher Award
    Open grant

Supervision

Availability

Dr Matthew Holden is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • More Parks or Better Parks? Modeling Optimal Conservation Policies for Biodiversity

    How can we make the most of limited conservation budgets to protect endangered species? This project investigates the optimal balance between expanding protected areas—such as national parks—and improving the management of existing ones. With ambitious new international targets calling for at least 30% of Earth’s surface to be conserved, it is crucial to determine whether more land protection or better stewardship offers the greatest ecological return. Through a combination of dynamical systems modelling, optimisation techniques, and real-world data, this project will develop and analyse models to inform smarter conservation policies. Students will explore interdisciplinary questions at the intersection of mathematics, ecology, and policy, with the opportunity to contribute to impactful environmental decision-making.

  • Improving Sustainable Agriculture Through Insect Movement Models

    Are you interested in applying mathematics to real-world ecological and agricultural challenges? This project explores the use of mathematical modeling to improve sustainable pest management in farming. Trap cropping—a technique that uses attractive "decoy" plants to divert pests from valuable crops—has shown promise in small-scale settings like greenhouses, but often fails at commercial scales. We aim to understand why, using tools such as ODEs, Difference Equations, Markov Processes, and Simulations to model pest movement and behavior. By combining theory with practical applications, this project offers students the chance to engage in meaningful, interdisciplinary research that can contribute to more sustainable agricultural practices.

  • Accurately detecting population trends in ecology

    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

Supervision history

Current supervision

  • Doctor Philosophy

    Expand or Improve Protected Areas - Modeling Optimal Conservation Policies for Biodiversity

    Principal Advisor

    Other advisors: Professor Hugh Possingham

  • Master Philosophy

    Accurately Detecting Occupancy Trends in Ecology

    Principal Advisor

    Other advisors: Associate Professor Michael Bulmer

Completed supervision

Media

Enquiries

Contact Dr Matthew Holden directly for media enquiries about:

  • environmental decision making
  • math

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au