Mar 11, 2026
A novel workflow for forest regeneration prediction
Workflow of data acquisition and point pattern reconstruction of forest regeneration, beginning with a terrestrial lidar scan of the upper stand of a study area (yellow, input data) (a) and regeneration recorded within (b)
In an article recently published in the European Journal of Forest Research, Chris Wudel et al. present an innovative method based on the reconstruction of point patterns that cost-effectively predicts the spatial distribution of regenerating trees across large areas. It demonstrates how structural characteristics of regeneration can be successfully upscaled from 0.09-hectare reference plots to 1-hectare forest areas. In doing so, the authors extend their previously published approach (Wudel et al. 2023) to include the ability to flexibly adjust the reconstruction regions, as well as a edge correction. The workflow and methods they have developed have the potential to improve the monitoring and management of forest ecosystems and offer valuable support for complex forestry planning tasks.
Wudel, C., Schlicht, R., Meyer, N., Wehnert, A., Micheletti, T., Berger, U. (2026): A novel workflow for forest regeneration prediction. European Journal of Forest Research 145, 47.