Researchers are developing a framework to help predict and prevent the approach of rapid, harmful and difficult-to-reverse changes in ecosystems.
In this project, led by Professor Jason Tylianakis of the University of Canterbury, researchers are aiming to reverse degradation across a range of ecosystems and nudge these systems towards a healthy, self-reinforcing state.
Once an ecosystem reaches a tipping point, it can be costly or unfeasible to reverse – for example the loss of peat-forming species in wetlands, and the loss of soil structure and quality following intensive agriculture.
A key aspect of this BioHeritage Challenge project is understanding the processes leading to these tipping points in socio-ecological systems, and using that knowledge to develop generic, widely applicable tools to proactively manage and sustain healthy ecosystems.
Mātauranga Māori (Māori knowledge) is critical to the project which is contributing to BioHeritage’s goal of creating resilient and thriving ecosystems that New Zealanders are proud of.
Research is being co-designed with key Ngāi Tahu staff members who are using their indigenous knowledge of restoring populations and sustaining harvests of mahinga kai (food gathering) to help shape the research priorities.
Specifically, research on the restoration of īnanga (whitebait) and black swan egg harvests is being co-developed with Māori knowledge-holders as part of this work and another BioHeritage Challenge project – taking a biocultural approach to restoring New Zealand’s biodiversity.
The project team has distilled complex concepts around tipping points into a policy brief that outlines approaches that can help regional and central government to manage tipping points and drive positive ecosystem change.
The team’s research has been integrated with a Ministry of Business Innovation and Employment Endeavour Project: Our lakes’ health: past, present and future, Kia whakatōmuri te haere whakamua.
In addition, lake sediment samples and analytical techniques have been shared with the Lakes380 team, and researchers have conducted a collaborative analysis of ecological tipping points in lakes.
If you’re looking for any outputs (papers, data etc) from this project that you don’t see on this page please visit our data repository.