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Home | Research Programmes | Resilient Forests | Managing Risk and Uncertainty
The Managing Risk and Uncertainty workstream recognises the problems forest growers and managers face around an uncertain future, due to socioeconomic and climatic changes.
Our aim is to apply innovative and integrated approaches to increase the capability of forest owners/forestry sector to manage future risks and uncertainties, contributing to the resilience of forest plantations in New Zealand. We will do this by:
- applying portfolio approaches to manage risk
- developing frameworks for future-proofing forests through adaptive management
- producing tools and frameworks to anticipate climate threats and social risk.
In 2024-2026, work under the Managing Risk and Uncertainty research area will focus on the following:
- expanding the application of the quantitative portfolio framework by establishing a pilot case study and assessing the impacts of product/market diversification under future climate change scenarios
- developing tools and frameworks that incorporate adaptive management responses to evolving climatic and socio-economic risks and uncertainty
- evaluating and benchmarking socially responsible investment schemes (e.g., corporate social responsibility, credence attributes of timber products) as part of the overall portfolio approach to forest management.
Resilient Forests News

FGR at Fieldays – Showcasing Innovation in Forestry
Forest Growers Research (FGR), NZFOA and the Forest Growers Levy Trust (FGLT) participated in this year’s Fieldays Forestry Hub, joining more than 40 forestry and

Putting red needle cast (RNC) management tools into the hands of foresters
Impact from investment into research refers to the change that occurs as a result of that research. Impact is often talked about as if it

New research projects align with FGLT strategic priorities
The Forest Growers Levy Trust Board has approved 22 new research projects for 2026, complementing ongoing long and medium‑term programmes such as Precision Silviculture and