Jane is an Australian Research Council Future Fellow based at the University of Melbourne. She specialises in methods for implementing and evaluating species distribution models with a focus on relevance to intended applications.
Fiona is an Associate Professor and ARC Future Fellow, interested in reproducibility and open science in ecology, how scientists and other experts reason and make decisions, and various aspects of interdisciplinary conservation science, including conservation psychology.
Gurutzeta’s areas of interest include optimal monitoring, study design, the modelling of species detectability and adaptive management.
José’s research interests include ecological statistics, population models and species distribution models… and how these should feed into the decision-making process for conservation. He is currently involved in 2 adaptive management projects, for malleefowl conservation and kangaroo population control.
Mick is interested in developing, evaluating and applying models to assist environmental management. His research spans many areas including detection of invasive and rare species, population dynamics, fire ecology, synthesis of ecological data, ecological indices, and environmental risk assessment.
Libby’s current work focuses on adaptive management and structured decision making for natural resource management. She is currently implementing an Adaptive Management program for the restoration of grassy woodlands in south-eastern Australia.
Peter is an Associate Professor in the School of Botany at the University of Melbourne. His research interests mostly fall in two areas. Generalization and research synthesis in ecology and particularly the use of functional traits and types. Better ecological management through setting clear objectives and using appropriate explicit ecological models.
Brendan is an ARC Future Fellow. He’s interested in uncertainty and environmental decision making, optimal conservation investment, optimal monitoring and adaptive management, systematic conservation planning, population viability analysis, and habitat modelling and mapping.