College of Science & Engineering
Sophia Love
- Doctor of Philosophy (Natural and Physical Sciences)
- sophie.love@jcu.edu.au
Elle Robertson
- Doctor of Philosophy (Agriculture, Environmental and Related Studies)
- elle.robertson@jcu.edu.au
Romain Vaucher
- Senior Lecturer, Sedimentology
- romain.vaucher@jcu.edu.au
Jenny Fisher
- Associate Dean, Learning and Teaching
- jenny.fisher@jcu.edu.au
Ambili Narayanan
- Doctor of Philosophy (Natural and Physical Sciences)
- ambili.narayanan@my.jcu.edu.au
Sarfaraz Ali
- Postdoctoral Research Fellow
- sarfaraz.ali@jcu.edu.au
Mikaeylah Davidson
- Postdoctoral Research Fellow
- mikaeylah.davidson@jcu.edu.au
Liuxin Chen
- Adjunct Lecturer
- liuxin.chen@jcu.edu.au
Rafael Cabral Carvalho
- Lecturer, Marine Geoscience
- rafael.cabralcarvalho@jcu.edu.au
Tom Lloyd
- Postdoctoral Research Fellow, Global Ecosystems
- tom.lloyd@jcu.edu.au
Crown-of-thorns starfish control innovation program – Feasibility and Design Phase (Phase 1) (Old ID 27217)
Recognising that manual control of COTS during outbreaks is not, on its own, an ideal long-term solution, new efforts were launched in 2016 to develop an Integrated Pest Management approach for COTS (as part of the National Environmental Science Program), led by CSIRO and involving numerous partners. This approach relies on understanding COTS distribution, movement and population dynamics, targeting critical locations and exploring new and more effective control methods. This involves both improving the efficiency and effectiveness of the current methods while also focusing efforts to better understand and manage the pre-conditioning and initiation of outbreaks. A Feasibility and Design Phase (Phase 1) is focused on assessing the feasibility (technical, social and regulatory) and modelling the benefit (impact) at scale of a broad range of possible improvements and interventions. Applying a transparent and consistent scientific framework, this Phase will lead to recommendations on priority areas that should be further investigated and developed
Strengthening incentives for improved grassland management in China and Mongolia (Old ID 23364)
The aim of the project is to improve grassland management practices and pastoral livestock systems in China and Mongolia through research into the incentives driving these systems and the design of incentive based policies. Within this overall aim, there are three main objectives: (a) to design more efficient incentive schemes for improved grassland and livestock management in China; (b) to design more efficient incentives for improved livelihoods and grassland condition in Mongolia; and (c) to facilitate linkages between China and Mongolia for improving grassland management.
Evaluating the costs and benefits of agricultural land conversion to wetlands (Old ID 24988)
Government and private investors are increasingly interested in nitrogen reduction projects, particularly via conversion of land to wetlands. Investing in such projects requires understanding the environmental benefits to be accrued and cost-effectiveness. The best way to provide these data is to evaluate already constructed land-wetland conversion sites that resemble what future projects might look like. This project will collect data from previously completed land-wetland conversion sites, on construction and ongoing maintenance costs, and the water quality and biodiversity benefits. This project will generate explicit data for government and private investors to make informed decisions on future investments of this kind.
Incorporating fisheries, food security, livelihoods, and tourism in Marine Protected Area designs in Indonesia – Part 1: Scoping (Old ID 31112)
This scoping project funds the initial work of strengthening the relationships with Indonesian researchers and governments, with the long-term goal of generating the science and tools for designing and implementing marine protected areas that support Blue Economy (i.e., fisheries, food security, livelihoods, and tourism) in Southeast Asia and the Pacific.
Invasion Alert—A Machine Learning-based Platform for Invasive Ant Detection and Recognition (Old ID 27268)
For control/eradication measures to be effective, early detection of invasive ants is essential. Current conventional methods require taxonomic expertise and are time and labour intensive. This project will develop a vision-based platform that uses machine learning for the real-time detection and identification of established invasive ants in Australia. This will provide an automated, cost-effective monitoring tool that can speed up the detection and identification process, thus enable efficient and timely response to the potential spread of these species.
OPTIMISATION OF THE PROCESSING PLANT FOR GOLD EXTRACTION. (Old ID 27575)
This project with Minjar Gold involves thesis students solving industry related problems. Therefore, the funding provided by Minjar Gold in mainly to cover analysis that will be performed at the AAC. The main objective is to optimise the production of gold covering 3 main aspects: (1) exploring alternatives to slurry dewatering; (2) investigating pump capacity within Processing Plant and suggest alternatives; (3) investigating and modelling the average slurry residence time in the adsorption tanks in different scenarios.
Investigating the pitfalls of bee hotels (Old ID 30046)
Concern for bees among the public has led to the augmentation of habitat for bees including the addition of bee hotels. Bee hotels are often claimed to increase bee diversity and abundance. However, they artificially aggregate nesting sites above densities naturally available for bees, which could lead to increased prevalence of pathogens, viruses and parasitism, and higher predation rates. Properly controlled experiments to investigate these threats are limited, and none have been conducted in the tropics. This project investigates whether the density of nesting spaces in bee hotels affects predation rates and pathogen and parasite prevalence in cavity nesting bees.
Geological characteristics, genesis and ore controlling factors of the Tick Hill Au deposit, Dajarra District, NW Queensland, Australia (Old ID 24727)
The project aims to: 1. investigate and document the geological and geochemical features of the Tick Hill gold deposit, including understanding the structural evolution lmagmaticl history, alteration style andl mineralisation; 2. classify the deposit and improve the understanding of the genesis; 3. identify the factors controlling the locationh and formation of the deposits such as structural architecture, controls of host rocks and intrusions; and 4. discover lmineralogical, textural and geochemical zoning patterns that could gbe used as vectors to ore. A geological model will be developedfor use in exploration targeting.
A machine-learning training library of intertidal seagrass ecosystems to support Australia's National Ocean Accounts. (Old ID 27414)
The Australian Government, as a member of the High Level Panel for Sustainable Ocean Economy (Ocean Panel), has committed to a range of priority actions, including the development of a complete sequence of national ocean accounts. Seagrass extent and annual change is an integral part of the accounts. Training data on intertidal seagrass extent is needed to support the development of a national intertidal seagrass extent map, which will be a key deliverable of the National Ocean Accounts. This project will therefore conduct the necessary image interpretation tasks to deliver a machine-learning ready training set of Australia’s intertidal seagrass ecosystems.
The ecological and evolutionary legacy of extreme climatic events for food web resilience (Old ID 27891)
There is growing evidence that extreme events such as heatwaves will have the most immediate and harmful effects on plants and animals as the climate changes. This is particularly true for species-rich tropical ecosystems, where recent heatwaves have already caused severe population crashes for some species. We therefore need to understand what happens when whole communities of interacting species are subjected to a heatwave or other extreme climatic event. To understand fully how and why ecological communities are altered by extreme events, we need to carry out experiments simulating extreme conditions and follow the consequences over multiple generations. In most contexts such experiments would be practically or ethically impossible. However, we can design experiments that do exactly this by focusing on a special study system: food webs of Drosophila fruit flies and the parasitic wasps that consume them in the rainforests of tropical Queensland.
Organic matter, sodicity and soil structure
- 1998
- Oxford University Press
- Researchers:Paul Nelson
Start Date:
10 Nov 2024
Start Date:
31 Mar 2025
Title:
Bengali
Reseracher:
Khandakar Faisal Ibn Murad
(Doctor of Philosophy (Engineering and Related Technologies))
Title:
English
Reseracher:
Khandakar Faisal Ibn Murad
(Doctor of Philosophy (Engineering and Related Technologies))
Start Date:
01 Jan 2024
Start Date:
01 Jan 2024
End Date:
01 Jan 2027
Start Date:
01 Jan 2014
Start Date:
01 Jan 2003
Title:
PhD, James Cook University
End Date:
01 Jan 2010
Start Date:
01 Jan 2024
End Date:
01 Jan 2024