TreeScan: Structure, Growth, and Resistance of Trees – Improved Forestry Decision-Making through the Use of Mobile CT and Terrestrial Laser Scanning.

Given the environmental changes and numerous biotic and abiotic damages, forests and trees require stabilization. How healthy trees are, how they can adapt to stress, and how they develop in the long term under environmental changes largely depends on their individual history.

So far, tree growth, vitality, and resilience have been primarily assessed based on age and size or mass. Other factors, such as internal structure or external crown characteristics, have largely been overlooked in evaluating growth potential, vitality, and resistance.

The aim of the project is to gain improved insights into the relationship between the internal structure and external crown characteristics of trees and the growth potential, vitality, and adaptability that are essential for their contribution to climate stability.

Such insights and knowledge are important, for example, for the selection and appropriate treatment of trees regarding their climate stability, for the selection of trees when converting even-aged pure stands into mixed stands, during the establishment and mixing of areas, and for monitoring climate stability. The project aims to develop indicators for selecting particularly suitable or unsuitable trees and measures for their treatment.

The project involves close collaboration between the Chair of Forest Growth Science as part of the Weihenstephan Science Center at the Technical University of Munich (TUM) and the Development Center for X-ray Technology at Fraunhofer IIS.

© Inga Nielsen – stock.adobe.com

Project Goals

© Fraunhofer IIS
The mobile scanning system makes the relationships between the internal and external properties of trees visible without the need to harm or fell the tree.
© Fraunhofer IIS
The X-ray view into the interior of a tree allows for numerous conclusions about its condition.

The goal of the project is to combine mobile computed tomography and terrestrial laser scanning for the analysis and better understanding of the effects of internal and external tree properties on growth behavior and resilience of trees. Current growth theory and corresponding growth functions primarily estimate tree growth based on age or current size or mass. As long as forest stands and the structure of trees were relatively uniform, as is the case in pure stands, this approach yielded good results. However, with increasing heterogeneity and silvicultural diversity, the variation of internal and external characteristics and their impacts on future growth development, vitality, and resilience of trees increase.

Therefore, the project captures the internal structure and external morphology of trees to enhance understanding and improve predictions of tree development. This is based on non-destructive acquisition of internal and external morphological and structural features through mobile computed tomography (CT) and terrestrial laser scanning (TLidar). This will create improved foundations for monitoring the quality and structure of trees. The relationships between the internal and external properties of trees and their impacts on growth and resistance provide a better basis for the silvicultural management of forest stands. Integrating the developed relationships between structure, morphology, and the past development of trees into existing growth models enhances predictive capabilities by utilizing the history of trees (the memory effect) for their future development.

In addition to applications in forestry science and practice, we see great potential in the desired development of devices and software for improved monitoring, management, and more sustainable planning and adaptation of trees to environmental changes in cities, national parks, at stand edges, and along corridors. Furthermore, the development is likely to be of interest for forest inventory, logging companies, and monitoring in agroforestry.

Project Details

Project: Structure, Growth, and Resilience of Trees. Improved Forestry Decision-Making through the Use of Mobile CT and Terrestrial Laser Scanning (TreeScan)

Funding Agency: Federal Ministry of Food and Agriculture

Funding Program: Renewable Raw Materials

Duration: 1.11.2023 – 31.10.2026

You might also be interested in:

 

Phenotyping

We employ three-dimensional, nondestructive monitoring systems to survey plants in as comprehensive, accurate and above all harmless a way as possible.

 

Biogenic value creation and smart farming

Innovative technologies for sustainable agriculture across the entire value chain are being researched and developed.