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Understanding 3D structural complexity of individual Scots pine trees with different management history
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981231/ https://www.ncbi.nlm.nih.gov/pubmed/33767821 http://dx.doi.org/10.1002/ece3.7216 |
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author | Saarinen, Ninni Calders, Kim Kankare, Ville Yrttimaa, Tuomas Junttila, Samuli Luoma, Ville Huuskonen, Saija Hynynen, Jari Verbeeck, Hans |
author_facet | Saarinen, Ninni Calders, Kim Kankare, Ville Yrttimaa, Tuomas Junttila, Samuli Luoma, Ville Huuskonen, Saija Hynynen, Jari Verbeeck, Hans |
author_sort | Saarinen, Ninni |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7981231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79812312021-03-24 Understanding 3D structural complexity of individual Scots pine trees with different management history Saarinen, Ninni Calders, Kim Kankare, Ville Yrttimaa, Tuomas Junttila, Samuli Luoma, Ville Huuskonen, Saija Hynynen, Jari Verbeeck, Hans Ecol Evol Original Research 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. John Wiley and Sons Inc. 2021-01-31 /pmc/articles/PMC7981231/ /pubmed/33767821 http://dx.doi.org/10.1002/ece3.7216 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Saarinen, Ninni Calders, Kim Kankare, Ville Yrttimaa, Tuomas Junttila, Samuli Luoma, Ville Huuskonen, Saija Hynynen, Jari Verbeeck, Hans Understanding 3D structural complexity of individual Scots pine trees with different management history |
title | Understanding 3D structural complexity of individual Scots pine trees with different management history |
title_full | Understanding 3D structural complexity of individual Scots pine trees with different management history |
title_fullStr | Understanding 3D structural complexity of individual Scots pine trees with different management history |
title_full_unstemmed | Understanding 3D structural complexity of individual Scots pine trees with different management history |
title_short | Understanding 3D structural complexity of individual Scots pine trees with different management history |
title_sort | understanding 3d structural complexity of individual scots pine trees with different management history |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981231/ https://www.ncbi.nlm.nih.gov/pubmed/33767821 http://dx.doi.org/10.1002/ece3.7216 |
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