An experimental study was conducted to test different filter membranes for capturing eDNA/eRNA in the context of cost/time effort and cell fractions encountered in nature. For the first time a formal efficiency modelling was applied in eDNA and eRNA research to assist decision-making around an optimized sampling approach.
Learn why our scientists design Japanese obstacle courses for predatory snails and investigate nutritional value of marine biofouling.
With the experienced science teacher onboard we are aiming to develop an engaging educational toolkit that brings eDNA technologies into the classroom, introducing students to the cutting edge molecular technologies and building up a strong sense of kaitiakitanga for their local environment.
Welcome our new PhD researcher - Michelle Scriver. By answering critical questions regarding eDNA distribution in coastal waters and where, when, and how to sample, her project will contribute to optimized and more efficient detection of marine pests.
In the last two years the Detect team worked towards integrating DNA (eDNA) tools into New Zealand schools’ curriculum. The scientists have actively engaged with a range of schools and year groups to showcase a variety of marine biosecurity concepts and detection tools, including eDNA technologies.
Researchers from the MANAGE AND RESPOND and ECONOMICS AND DECISION SUPPORT teams have joined forces to work towards an understanding of the factors that encourage or discourage hull cleaning behavior of the recreational boat owners in New Zealand.
To find out what features of the reef attract mussels, we dropped baby green-lipped mussels on several types of 3D printed tiles representing rocky reef structures in seawater tanks and saw where they went. This experiment will help us designing eco-engineered structures that would give this native species a competitive advantage over invasive species on artificial structures.
The MANAGE & RESPOND TEAM developed a web-based survey that uses interactive maps to capture the movement of recreational boats in New Zealand. The collected data will be used to create a network model of recreational vessel movements to understand places of particular importance for biosecurity pathway management and response.
We mapped coastal hardening associated with 30 international urban centres and, using machine-learning algorithms, developed a model to forecast the regional expansion of 4 globally common coastal infrastructure types. We applied this model to New Zealand for anticipating regional distributions and future hotspots of socioecological risks over a 25-year period.
In 2021, the DETECT team had a big year on the water participating in two research expeditions, in two very distant and ecologically different areas of Aotearoa: Northland and Fiordland. These expeditions allowed us to collect valuable data on distribution of the high-profile non-indigenous species while testing our optimized molecular surveillance tools and protocols.