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How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees
Aboveground tree architecture is neither fully deterministic nor random. It is likely the result of mechanisms that balance static requirements and light‐capturing efficiency. Here, we used terrestrial laser scanning data to investigate the relationship between tree architecture, here addressed usin...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662337/ https://www.ncbi.nlm.nih.gov/pubmed/31380038 http://dx.doi.org/10.1002/ece3.5281 |
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author | Seidel, Dominik Annighöfer, Peter Stiers, Melissa Zemp, Clara Delphine Burkardt, Katharina Ehbrecht, Martin Willim, Katharina Kreft, Holger Hölscher, Dirk Ammer, Christian |
author_facet | Seidel, Dominik Annighöfer, Peter Stiers, Melissa Zemp, Clara Delphine Burkardt, Katharina Ehbrecht, Martin Willim, Katharina Kreft, Holger Hölscher, Dirk Ammer, Christian |
author_sort | Seidel, Dominik |
collection | PubMed |
description | Aboveground tree architecture is neither fully deterministic nor random. It is likely the result of mechanisms that balance static requirements and light‐capturing efficiency. Here, we used terrestrial laser scanning data to investigate the relationship between tree architecture, here addressed using the box‐dimension (D (b)), and the architectural benefit‐to‐cost ratio, the light availability, and the growth of trees. We detected a clear relationship between D (b) and the benefit‐to‐cost ratio for the tested three temperate forest tree species (Fagus sylvatica L., Fraxinus excelsior L., and Acer pseudoplatanus L.). In addition, we could also show that D (b) is positively related to the growth performance of several tropical tree species. Finally, we observed a negative relationship between the strength of competition enforced on red oak (Quercus rubra L.) trees and their D (b. )We therefore argue that D (b) is a meaningful and integrative measure that describes the structural complexity of the aboveground compartments of a plant as well as its relation to structural efficiency (benefit‐to‐cost ratio), productivity, and growing conditions (competition or availability of light). |
format | Online Article Text |
id | pubmed-6662337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66623372019-08-02 How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees Seidel, Dominik Annighöfer, Peter Stiers, Melissa Zemp, Clara Delphine Burkardt, Katharina Ehbrecht, Martin Willim, Katharina Kreft, Holger Hölscher, Dirk Ammer, Christian Ecol Evol Original Research Aboveground tree architecture is neither fully deterministic nor random. It is likely the result of mechanisms that balance static requirements and light‐capturing efficiency. Here, we used terrestrial laser scanning data to investigate the relationship between tree architecture, here addressed using the box‐dimension (D (b)), and the architectural benefit‐to‐cost ratio, the light availability, and the growth of trees. We detected a clear relationship between D (b) and the benefit‐to‐cost ratio for the tested three temperate forest tree species (Fagus sylvatica L., Fraxinus excelsior L., and Acer pseudoplatanus L.). In addition, we could also show that D (b) is positively related to the growth performance of several tropical tree species. Finally, we observed a negative relationship between the strength of competition enforced on red oak (Quercus rubra L.) trees and their D (b. )We therefore argue that D (b) is a meaningful and integrative measure that describes the structural complexity of the aboveground compartments of a plant as well as its relation to structural efficiency (benefit‐to‐cost ratio), productivity, and growing conditions (competition or availability of light). John Wiley and Sons Inc. 2019-05-26 /pmc/articles/PMC6662337/ /pubmed/31380038 http://dx.doi.org/10.1002/ece3.5281 Text en © 2019 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 Seidel, Dominik Annighöfer, Peter Stiers, Melissa Zemp, Clara Delphine Burkardt, Katharina Ehbrecht, Martin Willim, Katharina Kreft, Holger Hölscher, Dirk Ammer, Christian How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees |
title | How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees |
title_full | How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees |
title_fullStr | How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees |
title_full_unstemmed | How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees |
title_short | How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees |
title_sort | how a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662337/ https://www.ncbi.nlm.nih.gov/pubmed/31380038 http://dx.doi.org/10.1002/ece3.5281 |
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