A hapū-centric surveillance framework that focuses on the holistic health of the forest.
At A Glance:
Many of our native species are slowly and silently tracking towards extinction. In order to reverse the decline of our natural bioheritage, we must be able to ‘see it’.
‘Surveillance’ comprises the systems, tools and techniques that enable us to track and anticipate impacts on ecosystem health by monitoring biodiversity, primary production and early detection of new invasive species that are killing taonga and our native environment.
Surveillance has repeatedly emerged as a critical research priority in the management of myrtle rust and kauri dieback. To date, data on the presence and severity of these diseases has been collected by many different organisations using a range of methodologies. Iwi and hapū are urgently seeking definitive answers about the presence/absence of these diseases in their rohe (area), as are all land-managers.
New Zealand’s surveillance system currently focuses on exotic pests and often overlooks ensuring healthy and resilient environments. The central investment under this Ngā Rākau Taketake theme is the Mātauranga Māori Framework for Surveillance (MMSF). This investment elevates the status of the environment into the surveillance system.
The MMSF considers the current surveillance processes and collection of data, and information required on pest presence and absence to establish baselines required by New Zealand’s primary sector.
It uses data and information important to indigenous ecosystems and narrative from rangatira (Maori authorities), hapū and iwi, who have whakapapa (genealogical link) and kaitiaki (guardianship) of their taonga.
The MMSF will use both existing and emergent understandings, values, approaches and opportunities to improve surveillance in Aotearoa, recognising the contribution from both Western and Te Ao Maori experiences and intelligence.
The environment-centric surveillance framework focuses on ensuring that the state and health of taonga and ngahere (forest) are elevated into any surveillance response. It does this using kauri dieback and myrtle rust as case studies to test the framework and model ‘proof of (disease) freedom’. It also provides the basis for the assimilation of up to date and accurate data and narrative regarding the extent of kauri dieback and myrtle rust, and the state of native bioheritage affected by the pathogens.
Ngatirua, Ngāti Awa, Ngāti Kahu, Ngāpuhi Nui Tonu
Manaaki Whenua – Landcare Research
The projects for this investment are focused on better surveillance responses and investment.
Currently the team are working on establishing a spatial management system, platformed with mātauranga Maori approaches and solutions along with Western science. This will result in modelling that provides confidence about the presence or absence of a pathogen and/or disease, within a dedicated biodiversity management area (BMA). A working group comprised of New Zealand biosecurity experts co-developed the initial enquiry and key issues for evolving this project.
The Project Working Group have engaged directly with tangata Māori, kaitiaki and rangatira from 10 tribal regions, whose taonga are affected by myrtle rust and kauri dieback.
Tangata Maori will continue to inform the development of the MMSF and the ‘proof of freedom’ model that will determine confidence that taonga within a BMA is free from kauri dieback and/or myrtle rust.
In addition, the project has also led the discussion on ‘data sovereignty’ and ‘data custody’ and how to acquire, utilise, protect and share surveillance data and information with the aim to improve biosecurity surveillance.
The investment team, working with entities, agencies and mana whenua who are part of the surveillance system, will test the MMFS in the development of the ‘proof of freedom’ model.
Discussions about surveillance data and information custody and sovereignty will be informed by other NRT themes and research, as well as kaitiaki and rangatira linked to current and emergent research through the provenance and whakapapa of taonga to BMAs.
Ground-truthing the surveillance and modelling using mātauranga Māori and improved detection technologies will be used to update the model. As this is adopted and tested, the Team hope to use the model to predict future spread of disease within a BMA.
Manaaki Whenua - Landcare Research