LFAT Project

LFAT Project

Landscape Futures Analysis Tool (LFAT)

Developing a process of science based "optioneering" that can be embedded in NRM Board planning and community engagement

Changing climate, markets and social demands will drive future change in land use across Australia. Assisting regional natural resource managers in planning and implementing changes in land use will enable adaptation by landholders and communities.

Through a process of envisioning with NRM groups, we developed an online GIS and modelling framework that brings critical information about a region together and enables the investigation and interogation of Landscape Futures Analysis data. The Landscape Futures Analysis Tool will support communities in revising climate ready NRM plans that consider adaptation, mitigation, resilience and risk analysis.

The main objectives of the research were:

  • Explore an implementation process where stakeholders embed outputs of modelled future scenarios into NRM planning processes
  • In collaboration with the Eyre Peninsula and SA Murray Darling Basin Natural Resources Management Boards develop an engagement and planning process informed by local experience and documented planning from other NRM regions.
  • Develop a tool that provides a user friendly interface for assessing the Landscape Futures Analysis datasets and how a variety of policy options on land use impact economic, environmental and social indicators.
  • Develop a framework that can be easily extended to include other NRM regions.

This project involved contributions from six organisations:

The current framework includes detailed analysis options for the Eyre Peninsula and SA Murray Darling Basin NRM regions, with plans to include more options in the future. The system is modular in design so NRM regions can customize the tool to include various GIS layers and analysis options.


Flyer for the Landscape Futures Analysis Tool

A summary of the papers associated with Landscape Futures Analysis

To view the LFAT user guide and tutorials, please visit LFAT training under the Education menu


RSS Feeds