Decision Support

Best Practice Guidelines

Making correct operational decisions on the ground is difficult if there are no tools to support decision making. The transfer of knowledge to an operational tool that is both pragmatic and feasible is critical in order to effectively manage the disease.

The development of Best Practice Guidelines have enabled us to inform forest users what they need to consider when undertaking an activity in an infected forest, in order to reduce the spread of the disease. 

Research has underpinned the information in some of these guidelines. For example, research into the detection of kauri dieback has informed our sampling protocols and laboratory procedures, whereas other research looking into the spatial distribution of the disease in kauri wood subsequently informs our best practice guidelines for arborists.

Link to our Best Practice Guidelines are … https://www.kauridieback.co.nz/how-to-guides/

Prioritisation Tools

With a programme of this scale it’s important to prioritise where to spend time and resources to provide the best overall protection for kauri. To help assist this, a spatial geodatabase is currently being developed which will provide information to enable decision makers to make an informed decision on the best way to manage the disease in an area. For example, mapping the natural locations of kauri and its ecosystems as well as providing information on the type of vectors and other potential threats in these areas. These things help us understand the potential risks of the disease spreading and help support future management decisions.

Some recent research in this area

For a view into the complete library of programme research and reports please see our Science Stocktake.

If you have any questions in relation to this area of research or the supporting reports please contact the Kauri Dieback team on the details below.

Please note that as more information becomes available on the nature of kauri dieback disease and the pathogen that causes it, some of these papers may be superseded.