Scott Hadley

UTAS Home Dr Scott Hadley

Scott Hadley

Ecosystem Modeller

IMAS Taroona , Off-Campus

+61 3 62268380 (phone)

Dr Scott Hadley is an ecosystem modeller investigating the interaction between aquaculture and the environment. He works with Fisheries and Aquaculture (IMAS) with the research  team headed by Associate Professor Catriona Macleod.


Dr Hadley completed his PhD in 2015. He worked on quantifying the capacity of Integrated multi-trophic aquaculture to mitigate the impacts of nutrient loading from salmon aquaculture. This research was undertaken as part of the Quantitative Marine Science (QMS) program, a joint initiative between CSIRO and IMAS. Since completing the PhD, Dr Hadley has been working with Fisheries and Aquaculture (IMAS) to answer more question involving the interaction between aquaculture and the environment.

Before starting his PhD, Dr. Hadley worked as a system administrator for the Department of Defence. While in that position, he completed a Masters by Research in Mathematics (Dynamical Systems Theory) where he looked at investigating the behaviour of a model of southern ocean food web.

Career summary


Degree Thesis Title UniversityCountryAwarded

Farming macroalgae to mitigate coastal nutrification from finfish aquaculture: a modelling study

University of Tasmania Australia 2015
MSc Dynamical systems analysis of 5D trophic food web in the southern ocean University of Tasmania Australia 2009


Professional practice

IMAS  Committee for Inclusion, Diversity and Equity (IDE), Age-friendly workplace working group.

View more on Mr Scott Hadley in WARP


  • Develop understanding of the dispersal of waste from salmon aquaculture at local scale.
  • Development of sustainable aquaculture
  • Modelling the potential of seaweed to offset the impact of salmon aquaculture in coastal environment.

Research Themes

Scott’s work aligns with several of the universities research themes. He is currently investigating the impacts of open cage salmon aquaculture on nearby reefs as well as benthic impacts beneath the cages. Coastal marine ecosystems can be very sensitive to nutrient loading. This study aims to assess the effectiveness of the methods currently used to determine impacts form salmon aquaculture. The research aims to development valid and quantifiable methods for assessing aquaculture impacts and also valid monitoring procedures that capture the ecosystem changes on appropriates temporal and spatial scales.

It is hoped this will lead to a more sustainable aquaculture industry as well as provide information on the functioning of natural marine systems.

Scott modelling approach uses the data gathered by FAC (Fisheries and Aquaculture) to make decisions which help managers and researchers make decisions on operational and strategic matters.

Fields of Research

  • Biological mathematics (490102)
  • Aquaculture (300501)
  • Aquaculture and fisheries stock assessment (300502)
  • Marine and estuarine ecology (incl. marine ichthyology) (310305)
  • Ecology (310399)
  • Ecosystem function (410203)
  • Chemical oceanography (370802)
  • Fisheries management (300505)

Research Objectives

  • Expanding knowledge in the environmental sciences (280111)
  • Aquaculture fin fish (excl. tuna) (100202)
  • Assessment and management of terrestrial ecosystems (180601)
  • Marine systems and management (180599)
  • Climate change mitigation strategies (190301)
  • Wild caught crustaceans (excl. rock lobster and prawns) (100303)
  • Fisheries - aquaculture (100299)


Scott published two papers form his Masters research on dynamical systems theory. A further three papers were published from his PhD (with another currently in review) which finished two years ago. During his PhD he also collaborated on another modelling paper. All his work to date is either on model analysis or biogeochemical modelling of coastal systems. His current project is due to finish next year and will furnish further publications based around modelling waste dispersion and subsequent ecosystem interaction.

Total publications


Journal Article

(9 outputs)
2020Baird ME, Wild-Allen KA, Parslow J, Mongin M, Robson B, et al., 'CSIRO Environmental Modelling Suite (EMS): scientific description of the optical and biogeochemical models (vB3p0)', Geoscientific Model Development, 13 pp. 4503-4553. ISSN 1991-959X (2020) [Refereed Article]

DOI: 10.5194/gmd-13-4503-2020 [eCite] [Details]

Citations: Scopus - 7Web of Science - 9


2019Witkowski SJ, Carter CG, Grunenwald M, Hadley S, MacLeod CKA, et al., 'Development and assessment of novel endogenous markers in commercial aquafeeds to measure apparent digestibility in large Atlantic salmon (Salmo salar) on salmon farms', Aquaculture, 508 pp. 192-198. ISSN 0044-8486 (2019) [Refereed Article]

DOI: 10.1016/j.aquaculture.2019.05.005 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

Co-authors: Carter CG; Grunenwald M; MacLeod CKA; Townsend AT; Adams LR


2018Hadley S, Wild-Allen K, Johnson C, Macleod C, 'Investigation of broad scale implementation of integrated multitrophic aquaculture using a 3D model of an estuary', Marine Pollution Bulletin, 133 pp. 448-459. ISSN 0025-326X (2018) [Refereed Article]

DOI: 10.1016/j.marpolbul.2018.05.045 [eCite] [Details]

Citations: Scopus - 5Web of Science - 5

Co-authors: Johnson C; Macleod C


2016Hadley S, Jones E, Johnson C, Wild-Allen K, Macleod C, 'A Bayesian inference approach to account for multiple sources of uncertainty in a macroalgae based integrated multi-trophic aquaculture model', Environmental Modelling and Software, 78 pp. 120-133. ISSN 1364-8152 (2016) [Refereed Article]

DOI: 10.1016/j.envsoft.2015.12.020 [eCite] [Details]

Citations: Scopus - 4Web of Science - 4

Co-authors: Johnson C; Macleod C


2016Hadley S, Wild-Allen K, Johnson C, MacLeod C, 'Quantification of the impacts of finfish aquaculture and bioremediation capacity of integrated multi-trophic aquaculture using a 3D estuary model', Journal of Applied Phycology, 28, (3) pp. 1875-1889. ISSN 0921-8971 (2016) [Refereed Article]

DOI: 10.1007/s10811-015-0714-2 [eCite] [Details]

Citations: Scopus - 6Web of Science - 6

Co-authors: Johnson C; MacLeod C


2016Mongin M, Baird ME, Hadley S, Lenton A, 'Optimising reef-scale CO2 removal by seaweed to buffer ocean acidification', Environmental Research Letters, 11, (3) Article 034023. ISSN 1748-9326 (2016) [Refereed Article]

DOI: 10.1088/1748-9326/11/3/034023 [eCite] [Details]

Citations: Scopus - 25Web of Science - 24

Co-authors: Mongin M; Lenton A


2015Hadley S, Wild-Allen K, Johnson C, MacLeod C, 'Modeling macroalgae growth and nutrient dynamics for integrated multi-trophic aquaculture', Journal of Applied Phycology, 27, (2) pp. 901-916. ISSN 0921-8971 (2015) [Refereed Article]

DOI: 10.1007/s10811-014-0370-y [eCite] [Details]

Citations: Scopus - 22Web of Science - 21

Co-authors: Johnson C; MacLeod C


2009Hadley S, Forbes LK, 'Dynamical systems analysis of a five-dimensional trophic food web model in the southern oceans', Journal of Applied Mathematics, 2009, (Article ID 575047) pp. 1-17. ISSN 1110-757X (2009) [Refereed Article]

DOI: 10.1155/2009/575047 [eCite] [Details]

Citations: Scopus - 6Web of Science - 5

Co-authors: Forbes LK


2009Hadley SA, Forbes LK, 'Dynamical systems analysis of a two-level trophic food web in the Southern Ocean', ANZIAM Journal, 50 pp. E24-E55. ISSN 1446-8735 (2009) [Refereed Article]

DOI: 10.21914/anziamj.v50i0.1111 [eCite] [Details]

Co-authors: Forbes LK


Conference Publication

(1 outputs)
2013Hadley SA, Wild-Allen K, MacLeod C, Johnson CR, 'Alternative strategies for sustainable environmental management of nutrient loads in aquaculture', World Aquaculture Society Conference, February, 2013, Nashville, Tennessee, USA, pp. 1. (2013) [Conference Extract]

[eCite] [Details]

Co-authors: MacLeod C; Johnson CR

Contract Report, Consultant's Report

(2 outputs)
2017Condie S, Gorton R, Hadley SA, Little R, MacLeod C, et al., 'INFORMD2: risk-based tools supporting consultation, planning and adaptive management for aquaculture and other multiple-uses of the coastal waters of southern Tasmania', Fisheries Research and Development Corporation, Hobart, Tasmania, 2012/024 (2017) [Contract Report]

[eCite] [Details]

Co-authors: Little R; MacLeod C; Ogier EM; Proctor WL; Ross J

2016MacLeod CK, Ross J, Hadley SA, Henriquez L, Barrett NS, 'Clarifying the relationship between salmon farm nutrient loads and changes in macroalgal community structure/ distribution', Fisheries Research and Development Corporation, University of Tasmania, Hobart, 2011-042 (2016) [Contract Report]

[eCite] [Details]

Co-authors: MacLeod CK; Ross J; Barrett NS


(1 outputs)
2009Hadley SA, 'Dynamical systems analysis of a two level trophic food web in the Southern Oceans' (2009) [Masters Research]

[eCite] [Details]

Other Public Output

(3 outputs)
2018Hadley SA, MacLeod C, Ross J, 'Nutrient Dispersion Modelling for Proposed Marine Finfish Farming Zones in Storm Bay', DPIPWE, Hobart, Tasmania (2018) [Government or Industry Research]

[eCite] [Details]

Co-authors: MacLeod C; Ross J

2018Hadley SA, MacLeod C, Ross J, 'Nutrient Dispersion Modelling for Proposed Marine Finfish Farming Zones in Storm Bay: Addendum - 20k and 30k tonne scenarios', DPIPWE, Hobart, Tasmania (2018) [Government or Industry Research]

[eCite] [Details]

Co-authors: MacLeod C; Ross J

2018Hadley SA, MacLeod C, Ross J, 'A summary of the improvements in the latest version of DEPOMOD (NewDEPOMOD) as compared with earlier versions (DEPOMOD/AutoDEPOMOD)', DPIPWE, Hobart, Tasmania (2018) [Government or Industry Research]

[eCite] [Details]

Co-authors: MacLeod C; Ross J

Grants & Funding

Funding Summary

Number of grants


Total funding



Giant Crab Enhanced Data Collection - Innovative approaches to enhance data collection in the Victorian, South Australian and Tasmanian Giant crab fisheries (2021 - 2023)$135,000
This project will address identified shortcomings in the quality of data currently available for Giant Crab stock assessment and fisheries management (Tas, Vic and SA). This project will look to develop a method for fishers to images of crabs on the vessel. The images will processed using Visual Intelligence methods to determine length, sex and unique ID for each crab. This data will be used in stock assessment models to make more accurate assessment. Hopefully this process will be rolled out across the Giant Crab fishery and a database of images can be collected and stored in a central repository.
Fisheries Research & Development Corporation ($135,000)
Administered By
Victorian Fisheries Authority
Research Team
Jeavons T; Hadley SA; Leon RI; Quigley B
2021 - 2023
A novel approach to measuring the depositional footprint of the Blue Economy (2021 - 2024)$1,198,217
A fundamental assumption used to argue for offshore aquaculture is that operating in deeper water will increase the horizontal dispersion of organic wastes and so lessen the impacts on seafloor ecosystem functioning. The social licence for such a move, however, will rely on our ability to quantify this advantage. To enable this, we will (1) develop a novel protocol for the assessment of offshore farm footprints combining two sedimentseawater solute exchange measurement techniques, (2) use such measurements to define thresholds in the metabolic response of offshore sediment ecosystems, and (3) explore their integration in lease-scale biogeochemical models and regulatory frameworks.
Blue Economy CRC Co ($1,198,217)
General Projects
Administered By
Blue Economy CRC Co
Research Team
Vopel K; Frid C; Ross DJ; Hadley SA; Plew D; Bannister R; Wang L
2021 - 2024
Storm Bay Observing System: Assessing the Performance of Aquaculture Development (2019 - 2023)$3,683,628
Storm Bay is identified in the Tasmanian Governments Sustainable Industry Growth Plan for the Salmon Industry as a priority area for the possible expansion of salmonid marine farming. The Governments intention is that the proposed developments would be managed under an adaptive management framework with the following pre-conditions:A staged development approach, with an initial limit on feed input that would provide for 30,000 tonnes of productionA comprehensive environmental monitoring programThe development of a biogeochemical model, to help to understand i) the information provided by the environmental monitoring and ii) the effects of any changes to farming operations in the region.The work proposed in this study will support the design and implementation of an effective, efficient and reliable monitoring program, providing expert advice on sampling locations, timelines and strategies and testing this data over 3-4 years to refine and improve the program. This monitoring program will deliver observational data to directly assess environmental performance and to assist the skill assessment of the integrated 3D model being developed by CSIRO. A second key element of the proposal is to develop a lease scale module for predicting near scale effects; this would be nested and relocatable in the CSIRO modelling system. A comprehensive map of seafloor habitats and bathymetry will underpin the monitoring program and modelling efforts.
Fisheries Research & Development Corporation ($3,683,628)
Industry Partnership Agreements - IPA
Administered By
University of Tasmania
Research Team
Ross DJ; MacLeod C; White CA; Hadley SA; Barrett NS; Swadling KM; Lucieer VL
2019 - 2023

Research Supervision




PhDDeveloping a Process Model for Recirculating Aquaculture System (RAS) Technology Incorporating a Fugacity Model to Track Waste Signal2018
PhDClarifying and Optimising the Environmental Benefits of IMTA2020
PhDAdvances in Modelling Benthic-Pelagic Solute Fluxes in Marine Environments2021
PhDImage Capture and Deep-Learning for Determining Sea Snake Bycatch in a Prawn Trawl Fishery2021