Understanding 3D structural complexity of individual Scots pine trees with different management history

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Saarinen , N , Calders , K , Kankare , V , Yrttimaa , T , Junttila , S , Luoma , V , Huuskonen , S , Hynynen , J & Verbeeck , H 2021 , ' Understanding 3D structural complexity of individual Scots pine trees with different management history ' , Ecology and Evolution , vol. 11 , no. 6 , pp. 2561-2572 . https://doi.org/10.1002/ece3.7216

Title: Understanding 3D structural complexity of individual Scots pine trees with different management history
Author: Saarinen, Ninni; Calders, Kim; Kankare, Ville; Yrttimaa, Tuomas; Junttila, Samuli; Luoma, Ville; Huuskonen, Saija; Hynynen, Jari; Verbeeck, Hans
Contributor: University of Helsinki, Forest Health Group
University of Helsinki, Forest Health Group
University of Helsinki, Laboratory of Forest Resources Management and Geo-information Science
University of Helsinki, Department of Forest Sciences
University of Helsinki, Laboratory of Forest Resources Management and Geo-information Science
Date: 2021-03
Language: eng
Number of pages: 12
Belongs to series: Ecology and Evolution
ISSN: 2045-7758
URI: http://hdl.handle.net/10138/333378
Abstract: Tree functional traits together with processes such as forest regeneration, growth, and mortality affect forest and tree structure. Forest management inherently impacts these processes. Moreover, forest structure, biodiversity, resilience, and carbon uptake can be sustained and enhanced with forest management activities. To assess structural complexity of individual trees, comprehensive and quantitative measures are needed, and they are often lacking for current forest management practices. Here, we utilized 3D information from individual Scots pine (Pinus sylvestris L.) trees obtained with terrestrial laser scanning to, first, assess effects of forest management on structural complexity of individual trees and, second, understand relationship between several tree attributes and structural complexity. We studied structural complexity of individual trees represented by a single scale-independent metric called "box dimension." This study aimed at identifying drivers affecting structural complexity of individual Scots pine trees in boreal forest conditions. The results showed that thinning increased structural complexity of individual Scots pine trees. Furthermore, we found a relationship between structural complexity and stem and crown size and shape as well as tree growth. Thus, it can be concluded that forest management affected structural complexity of individual Scots pine trees in managed boreal forests, and stem, crown, and growth attributes were identified as drivers of it.
Subject: box dimension
forest ecology
ground-based LiDAR
growth and yield
silviculture
terrestrial laser scanning
tree structure
1172 Environmental sciences
1181 Ecology, evolutionary biology
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