CARM is actively developing links with government and industry, particularly with the Queensland Department of Agriculture and Fisheries (DAF) and CSIRO. We share many post-graduate students with researchers from these institutions, and these students are solving applied resource management problems.


DAF (Qld)

The Department of Agriculture and Fisheries  (DAF) promotes profitable primary industries for Queensland.

CARM provides assistance and guidance in mathematical fishery assessments and the development of new mathematical approaches for fishery assessment, as well as collaborating with DAF on a number of projects.

DAF is committed to delivering world-class research and development, providing leadership on industry policy, protecting industries against pests, diseases and maintaining animal welfare standards, managing fisheries sustainably and maximising the value of state-owned forests.

Management strategy evaluation of Queensland’s east coast trawl fishery

Objectives:(i) Quantify annual fishing power increases and changes in prawn abundance; (ii) Quantify prawn catchability coefficients; (iii) Develop models and data rules for identifying target fishing effort and catch rates; (iv) Develop multi-species spatial assessment models for evaluating management and stock status reference points.

Assessments of the status of Queensland’s east coast and Gulf of Carpentaria shark fisheries

Objectives:(i) Develop standardised indices of abundance for the major species/taxa; (ii) Reviewing monitoring strategies and developing assessment modelling tools; (iii) Reviewing the status of the “stock” in relation to the commercial catch quota; (iv) Develop empirical management procedures.

Estimation of recreational fish catches

Objectives:(i) Develop hierarchical and conditional mixed models for estimation of recreational fish catch and catch rates; (ii) Investigate the standardisation of recreational survey data collected from multiple survey methods; (iii) From survey to analysis: dealing with differences in the scale survey data are collected at and the scale data are analysed at, (iv) Assess changes in angler avidity and recall bias between survey years and methodologies; (v) Examine appropriate estimation methods for different species; (vi) Develop methods for low abundance or recreational species caught by ‘hard-to-reach’ fishers.   

Fishery-dependent monitoring of Queensland’s fisheries: Reviewing routine collection of length and age data, and routine analysis

Objectives:Review and evaluate efficient sampling programs: Is the right amount of sampling occurring for each species? Are there any significant biases in the sampling programs for each species? Assess whether routine analyses are being carried out correctly, and to develop new analyses for fisheries management.

Physical oceanographic influences on Queensland reef fish and scallops

Objectives:(i) review recent advances in the study of physical oceanographic influences on fisheries catch data and describe the major potential influences on Queensland reef fish and saucer scallops; (ii) collate Queensland’s physical oceanographic and fisheries data; (iii) develop stochastic population dynamics models for reef fish and saucer scallops, which can link environmental influences (e.g. sea surface temperature) to catch rates, biological parameters (e.g., growth, reproduction, natural mortality) and ecological aspects (e.g., spatial distribution); (iv) forecast the dispersion of reef fish and scallop larvae in the southern GBR region.

East Queensland grey mackerel stock assessment

Objectives:Develop a regional, sex- and age-structured population model for the east Queensland grey mackerel; estimate east coast wide and regional quota levels; suggest regional management responses.

Within UQ

School of Mathematics and Physics

Joint supervision of PhD and honours students, joint research projects, lectures

Global Change Institute

Collaboration in the IPCC Fifth Assessment Report on Climate Change

Schooof CiviEngineering

Coal seam gas modelling (ARCLinkagegrant) and water discharge at Three Gorges Dam

Schooof Geography Planning and Environmental Management

Joint supervision of PhD and honours students, lectures


Jointsupervision of PhD and Honours students, lectures and joint UQ FirstLink Genetic stock assessment of Queensland and New South Wales snapper (Pagrus auratus) fishery

School of Agriculture and Food Sciences

Joint supervision of PhD students

ARCentrof ExcellencfoEnvironmentaDecision(CEED)

Joint supervision of PhD and Honours students

CentrfoMedicaDiagnostiTechnologieiQueenslan(MedTeQ)CentrfoMagnetic Resonance(CMRanImaginResearcLaboratory

Joint research

Queensland Alliancefor AgricultureanFood Innovation (QAAFI)

Exploring collaborative opportunities in the area of genomic research for cattle, image analysis, population modelling.

SustainablMineralInstitute anSeqwater

Potential opportunities to collaborate with the Sustainable Minerals Institute and Seqwater via ARC linkage grants on Phytoremediation of mined land and water quality


Establishing joint PhD student supervision

Other External Collaborations


·         CSIRO

·         Institute of Geography and Limnology, Charles Darwin University

·         University of New England

·         University of Adelaide

·         University of Melbourne

·         Queensland University of Technology

·         University of Sydney

·         University of the Sunshine Coast

·         Flinders University


·         Chinese Academy of Sciences, China

·         Harvard University, USA

·         Landcare Research, NewZealand

·         AgResearch, New Zealand

·         Swedish University of Agricultural Sciences, Sweden

·         University of Glasgow,UK

·         University of the Western Cape, South Africa

·         University of Cape Town, South Africa

·         Sir Alister Hardy Foundation for Ocean Science, UK

·         University of Alberta, Canada

·         UC Santa Cruz and NOAA

·         INRIA, Sophia-Antipolis, France

.         IIT, Mumbai, India 

SUBSITE: Centre for Applications in Natural Resource Mathematics