Simulation of silvicultural treatments based on real 3D forest data from mobile laser scanning point clouds

2023 | journal article. A publication with affiliation to the University of Göttingen.

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​Simulation of silvicultural treatments based on real 3D forest data from mobile laser scanning point clouds​
Neudam, L. C.; Fuchs, J. M. ; Mjema, E.; Johannmeier, A.; Ammer, C. ; Annighöfer, P. J.   & Paul, C.  et al.​ (2023) 
Trees, Forests and People11 art. 100372​.​ DOI: https://doi.org/10.1016/j.tfp.2023.100372 

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Authors
Neudam, Liane C.; Fuchs, Jasper Maximilian ; Mjema, Ezekiel; Johannmeier, Alina; Ammer, Christian ; Annighöfer, Peter J. ; Paul, Carola ; Seidel, Dominik 
Abstract
Forest management has a direct influence on the structure and stability of forests. In this study, we used the 3D data from mobile laser scanning in real forest stands dominated by European beech (Fagus sylvatica L.) to simulate different silvicultural treatments and assess their impact on the structural complexity and short-term economic return. For the structural assessment, we used the box-dimension (Db), a holistic measure of structural complexity in forest. The expected net revenues of the silvicultural treatments were used as a proxy for short-term economic gain. We simulated six different treatments in 19 different real-world forest stands. The results showed that each treatment had a negative impact on the structural complexity of the stands but with varying severity. The treatments with the smallest effect on stand structural complexity showed the highest net revenue, indicating no trade-offs if a forest owner strives for small stand structural changes and high economic return. The approach used here allows quantifying the structural and economic consequences of different treatments in forest stands prior to the actual application in the real world. This holds large potential for decision making according to the forest owner's objective.
Issue Date
2023
Journal
Trees, Forests and People 
Project
Potential of functional diversity for increasing the disturbance resiliency of forests and forest-based socio-ecological systems (FUNPOTENTIAL) 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Waldbau und Waldökologie der gemäßigten Zonen ; Abteilung Forstökonomie und nachhaltige Landnutzungsplanung ; Zentrum für Biodiversität und Nachhaltige Landnutzung ; Abteilung Räumliche Strukturen und Digitalisierung von Wäldern 
ISSN
2666-7193
Language
English
Fulltext
https://doi.org/10.1016/j.tfp.2023.100372
Subject(s)
Forest structural complexity; Silviculture; Beech forest; Fagus sylvatica; Ecology and economics
Sponsor
Open-Access-Publikationsfonds 2023

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