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Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest
Analyses characterizing canopy gaps are required to improve our understanding of spatial and structural variations in forest canopies and provide insight into ecosystem-level successional processes. Gap size frequency distributions (GSFD) are indicative of ecological processes and disturbance patter...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142101/ https://www.ncbi.nlm.nih.gov/pubmed/32269267 http://dx.doi.org/10.1038/s41598-020-62878-z |
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author | Goodbody, Tristan R. H. Tompalski, Piotr Coops, Nicholas C. White, Joanne C. Wulder, Michael A. Sanelli, Marco |
author_facet | Goodbody, Tristan R. H. Tompalski, Piotr Coops, Nicholas C. White, Joanne C. Wulder, Michael A. Sanelli, Marco |
author_sort | Goodbody, Tristan R. H. |
collection | PubMed |
description | Analyses characterizing canopy gaps are required to improve our understanding of spatial and structural variations in forest canopies and provide insight into ecosystem-level successional processes. Gap size frequency distributions (GSFD) are indicative of ecological processes and disturbance patterns. To date, GSFD in boreal forest ecosystems have not been systematically quantified over large areas using a single consistent data source. Herein we characterized GSFDs across the entirety of the Canadian boreal forest using transects of airborne laser scanning (ALS) data. ALS transects were representatively sampled within eight distinct Canadian boreal ecozones. Gaps were detected and delineated from the ALS-derived canopy height model as contiguous canopy openings ≥8 m(2) with canopy heights ≤3 m. Gaps were then stratified by ecozone and forest type (i.e. coniferous, broadleaf, mixedwood, wetland-treed), and combinations thereof, and GSFDs were calculated for each stratum. GSFDs were characterized by the scaling parameter of the power-law probability distribution, lambda (λ) and Kolmogorov-Smirnov tests confirmed that GSFDs for each stratum followed a power-law distribution. Pairwise comparisons between ecozones, forest types, and combinations thereof indicated significant differences between estimates of λ. Scaling parameters were found to be more variable by ecozone (1.96–2.31) than by forest type (2.15–2.21). These results contrast those of similar studies done in tropical forest environments, whereby λ was found to be relatively consistent across a range of site types, geological substrates, and forest types. The geographic range considered herein is much larger than that of previous studies, and broad-scale patterns in climate, landforms, and soils that are reflected in the definition of unique ecozones, likely also influence gap characteristics. |
format | Online Article Text |
id | pubmed-7142101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71421012020-04-11 Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest Goodbody, Tristan R. H. Tompalski, Piotr Coops, Nicholas C. White, Joanne C. Wulder, Michael A. Sanelli, Marco Sci Rep Article Analyses characterizing canopy gaps are required to improve our understanding of spatial and structural variations in forest canopies and provide insight into ecosystem-level successional processes. Gap size frequency distributions (GSFD) are indicative of ecological processes and disturbance patterns. To date, GSFD in boreal forest ecosystems have not been systematically quantified over large areas using a single consistent data source. Herein we characterized GSFDs across the entirety of the Canadian boreal forest using transects of airborne laser scanning (ALS) data. ALS transects were representatively sampled within eight distinct Canadian boreal ecozones. Gaps were detected and delineated from the ALS-derived canopy height model as contiguous canopy openings ≥8 m(2) with canopy heights ≤3 m. Gaps were then stratified by ecozone and forest type (i.e. coniferous, broadleaf, mixedwood, wetland-treed), and combinations thereof, and GSFDs were calculated for each stratum. GSFDs were characterized by the scaling parameter of the power-law probability distribution, lambda (λ) and Kolmogorov-Smirnov tests confirmed that GSFDs for each stratum followed a power-law distribution. Pairwise comparisons between ecozones, forest types, and combinations thereof indicated significant differences between estimates of λ. Scaling parameters were found to be more variable by ecozone (1.96–2.31) than by forest type (2.15–2.21). These results contrast those of similar studies done in tropical forest environments, whereby λ was found to be relatively consistent across a range of site types, geological substrates, and forest types. The geographic range considered herein is much larger than that of previous studies, and broad-scale patterns in climate, landforms, and soils that are reflected in the definition of unique ecozones, likely also influence gap characteristics. Nature Publishing Group UK 2020-04-08 /pmc/articles/PMC7142101/ /pubmed/32269267 http://dx.doi.org/10.1038/s41598-020-62878-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Goodbody, Tristan R. H. Tompalski, Piotr Coops, Nicholas C. White, Joanne C. Wulder, Michael A. Sanelli, Marco Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest |
title | Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest |
title_full | Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest |
title_fullStr | Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest |
title_full_unstemmed | Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest |
title_short | Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest |
title_sort | uncovering spatial and ecological variability in gap size frequency distributions in the canadian boreal forest |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142101/ https://www.ncbi.nlm.nih.gov/pubmed/32269267 http://dx.doi.org/10.1038/s41598-020-62878-z |
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