Alex is a multidisciplinary researcher with skills and experience in applying spatial analyses to ecological problems. He has published in a range of areas from remote sensing to ecology and held a variety of different roles which have included conducting spatial analyses and developing ecological models to address natural resource management issues.
Alex worked for the University of Tasmania as a post-doctoral research fellow. He is currently working at the University of Queensland.
Alex’s research focuses on spatial ecology, investigating landscape level ecological processes using remote sensing and GIS, with a specific emphasis on the effects of spatial uncertainty on ecological modelling. Alex has conducted research in a range of areas from the effects of fragmentation on connectivity, the characterisation of landscapes with landscape pattern indices, soil science, wetlands monitoring to abandoned mines risk analysis. A key focus of his research is the application of simulated synthetic landscapes for testing ecological theories and models.
LaP Hub Research Project
General Approach to Planning Connectivity from Local Scales to Regional (GAP CLoSR): combining multi-criteria analysis and connectivity science to enhance conservationpplying the principles of the national wildlife corridors plan to regional sustainability planning
This project will develop a robust decision framework for engaging in regional biodiversity corridor planning and implementation that draws on best practice science and is aligned with the National Wildlife Corridors Plan. The Lower Hunter (possibly in conjunction with the Upper Hunter) and Tasmanian Midlands regions will be used to develop and test the modelling framework respectively. This framework will consider the suite of management tools and policy options available to achieve regional environmental outcomes, incorporating economic and social factors where possible.
We have coined the term Multi-Criteria Connectivity Planning to describe the modelling framework that will be developed - a combination of Multi-Criteria Decision Analysis (MCDA) and connectivity modelling. A key objective of MCDA is to quantify the consequences associated with trade-offs between alternative interests and combinations of interests. The MCDA approach will be integrated with least-cost connectivity modelling in order to explicitly consider multiple criteria used in the decision making process. Such tools are required for implementing national wildlife corridor plans which consider ecological connectivity within a whole-of-landscape and cooperative approach to biodiversity conservation.
This project will be developed in cooperation with the Regional Sustainability Planning team in the Department of the Environment in Canberra.
For more information see GAP CLoSR Wildlife Connectivity Tool.