Sustainable provenancing for resilient trees

Project leads  Dr James Borrell | Royal Botanic Gardens, Kew; Dr Nadia Barsoum | Forest Research

Project status  Active

Project funding 25-26  £245,869.09

Research outcomes  Reducing the risk | Adaptation

Silver Birch in clonal seed orchard
Context

Climate change poses a threat to the long-term success of newly planted forests in the UK. There is much uncertainty around the resilience of newly established trees and a need to better understand specific threats. Previous research has found that planted and naturally established trees often maintain similar, high levels of genetic diversity.

However, there is also evidence indicating that planted populations are more genetically similar than would be expected by chance (genetic homogenisation) and that inbreeding can occur at newly established sites. In addition, current methods of sourcing tree seeds do not always consider the importance of matching seed origin to the local climate. All of this increases the risk of tree populations being maladpted to future climates.

This project will address that challenge by developing tools to select and implement climate-resilient seed sourcing strategies, combining genomic data analysis with remote sensing, climate-modelling, and assessments of how well the trees grow.

Research aims and objectives
Aim:

Ensure new forests are healthy, genetically diverse, and better prepared for the changing climate.

Objectives:

Climate suitability and seed sourcing 

  • Evaluate whether existing seed sources represent the full range of current and future UK climate conditions. Any identified gaps will guide the selection of additional seed collection locations to support the development of resilient tree populations.

UK-wide recruitment analysis 

  • Analyse how effectively tree species establish and survive across the UK. Using extensive data from the National Forest Inventory, areas of high and low success in tree establishment will be identified, highlighting regions where targeted planting efforts could be most beneficial.

Resilient afforestation practices 

  • Assess the effectiveness of various tree nursery practices and planting methods, such as using bare-root versus container-grown trees, and the use of fertilisers and weed control. Through practical trials, the aim is to determine the best methods to maximise tree health and increase the chances of successful establishment.

Long-term genomic resilience with climate-smart seed selection 

  • Use genomic data from oak and birch trees to understand how they adapt to different climates across the UK. This information will help to predict how well tree populations might perform under future climate scenarios. Adaptive genetic maps will be created to indicate areas at risk of poor adaptation and will recommend optimal seed sources to support climate-resilient tree planting.

 

Expected outcomes
  • Clear recommendations for establishing new seed stands of oak and birch trees, ensuring the trees have a wide range of genetic diversity and area suited to future climates.
  • Detailed, species-specific information on how well different tree species establish naturally across the UK, highlighting areas where additional planting efforts are needed.
  • Practical guidelines for tree nurseries on how to increase tree survival and growth through improved planting practices.
  • A comprehensive map showing the genetic diversity of oak and birch trees across the UK, and how the suitability of different seed sources may shift under future climate conditions. This map will help to guide informed decisions on seed sourcing and tree planting under various climate scenarios.

 

Tree seeds held in three pairs of hands.
Title image: Crown Copyright. Forest Research – Glenn Brearley
Body image: Crown Copyright. Forest Research – Glenn Brearley
Glossary
Genetic diversity

The range of genetic variation within and between tree populations.

Genetic homogenisation

The reduction in genetic variation among tree populations.

Genomic data

Analysis of the genetic information obtained from the DNA of tree populations.

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