The role of NZAGRC Science Leadership Team (SLT) is to play a key part in the development, implementation and monitoring of all of the Centre’s science programmes and strategies. It consists of respected New Zealand-based researchers with excellent science credentials accompanied by strong leadership, communication, strategic and inter-personal skills with expertise in those areas of science covered in the NZAGRC Strategy and Science Plan.
Membership is agreed by the Steering Group and includes the NZAGRC Principal Investigators in addition to the NZAGRC Director and NZAGRC Operations Manager.
Dr Graeme Attwood
Dr Cecile DeKlein
Professor Hong Di
Dr Robyn Dynes
Dr Peter Janssen
Dr David Whitehead
Science leadership & capability building
The NZAGRC is committed to providing opportunities for researchers to be trained and work with leading experts in New Zealand. Some students go on to continue their studies or enter a postdoctoral position under guidance from NZAGRC science leaders, other enter into industry based positions.
The NZAGRC supports more than 50 researchers and students by providing funding via its core research programme or via its student scholarships programme.
Below are profiles of our scientists and past students.
Undergraduate Student: Martina Alvarez Camps
"My name is Martina Alvarez. I am 19 years old and about to start my second year of Chemical and Materials Engineering at the University of Auckland."
Martina spent the summer with Dr Carolyn Hedley and Dr Pierre Roudier at Landcare Research looking at the effect of moisture on soil spectra and the use of the External Parameter Orthogonalisation (EPO) algorithm to predict carbon content of field moist soil using air dry soil spectra models.
Martina's work has given her the opportunity to learn new skills and expertise in this field of soil science.
"I have learned about Visual-Near Infrared (VisNIR) spectroscopy and its benefits to soil science due to its quick soil carbon content predictions. I have also become aware of how samples are handled and scanned, the need for pre-processing of spectra and its application using the computer programming language R and how to accommodate the experiment to unexpected occurrences."