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The relationship between observational scale and explained variance in benthic communities
This study addresses the impact of spatial scale on explaining variance in benthic communities. In particular, the analysis estimated the fraction of community variation that occurred at a spatial scale smaller than the sampling interval (i.e., the geographic distance between samples). This estimate...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764243/ https://www.ncbi.nlm.nih.gov/pubmed/29324746 http://dx.doi.org/10.1371/journal.pone.0189313 |
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author | Flanagan, Alison M. Flood, Roger D. Frisk, Michael G. Garza, Corey D. Lopez, Glenn R. Maher, Nicole P. Cerrato, Robert M. |
author_facet | Flanagan, Alison M. Flood, Roger D. Frisk, Michael G. Garza, Corey D. Lopez, Glenn R. Maher, Nicole P. Cerrato, Robert M. |
author_sort | Flanagan, Alison M. |
collection | PubMed |
description | This study addresses the impact of spatial scale on explaining variance in benthic communities. In particular, the analysis estimated the fraction of community variation that occurred at a spatial scale smaller than the sampling interval (i.e., the geographic distance between samples). This estimate is important because it sets a limit on the amount of community variation that can be explained based on the spatial configuration of a study area and sampling design. Six benthic data sets were examined that consisted of faunal abundances, common environmental variables (water depth, grain size, and surficial percent cover), and sonar backscatter treated as a habitat proxy (categorical acoustic provinces). Redundancy analysis was coupled with spatial variograms generated by multiscale ordination to quantify the explained and residual variance at different spatial scales and within and between acoustic provinces. The amount of community variation below the sampling interval of the surveys (< 100 m) was estimated to be 36–59% of the total. Once adjusted for this small-scale variation, > 71% of the remaining variance was explained by the environmental and province variables. Furthermore, these variables effectively explained the spatial structure present in the infaunal community. Overall, no scale problems remained to compromise inferences, and unexplained infaunal community variation had no apparent spatial structure within the observational scale of the surveys (> 100 m), although small-scale gradients (< 100 m) below the observational scale may be present. |
format | Online Article Text |
id | pubmed-5764243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57642432018-01-23 The relationship between observational scale and explained variance in benthic communities Flanagan, Alison M. Flood, Roger D. Frisk, Michael G. Garza, Corey D. Lopez, Glenn R. Maher, Nicole P. Cerrato, Robert M. PLoS One Research Article This study addresses the impact of spatial scale on explaining variance in benthic communities. In particular, the analysis estimated the fraction of community variation that occurred at a spatial scale smaller than the sampling interval (i.e., the geographic distance between samples). This estimate is important because it sets a limit on the amount of community variation that can be explained based on the spatial configuration of a study area and sampling design. Six benthic data sets were examined that consisted of faunal abundances, common environmental variables (water depth, grain size, and surficial percent cover), and sonar backscatter treated as a habitat proxy (categorical acoustic provinces). Redundancy analysis was coupled with spatial variograms generated by multiscale ordination to quantify the explained and residual variance at different spatial scales and within and between acoustic provinces. The amount of community variation below the sampling interval of the surveys (< 100 m) was estimated to be 36–59% of the total. Once adjusted for this small-scale variation, > 71% of the remaining variance was explained by the environmental and province variables. Furthermore, these variables effectively explained the spatial structure present in the infaunal community. Overall, no scale problems remained to compromise inferences, and unexplained infaunal community variation had no apparent spatial structure within the observational scale of the surveys (> 100 m), although small-scale gradients (< 100 m) below the observational scale may be present. Public Library of Science 2018-01-11 /pmc/articles/PMC5764243/ /pubmed/29324746 http://dx.doi.org/10.1371/journal.pone.0189313 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Flanagan, Alison M. Flood, Roger D. Frisk, Michael G. Garza, Corey D. Lopez, Glenn R. Maher, Nicole P. Cerrato, Robert M. The relationship between observational scale and explained variance in benthic communities |
title | The relationship between observational scale and explained variance in benthic communities |
title_full | The relationship between observational scale and explained variance in benthic communities |
title_fullStr | The relationship between observational scale and explained variance in benthic communities |
title_full_unstemmed | The relationship between observational scale and explained variance in benthic communities |
title_short | The relationship between observational scale and explained variance in benthic communities |
title_sort | relationship between observational scale and explained variance in benthic communities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764243/ https://www.ncbi.nlm.nih.gov/pubmed/29324746 http://dx.doi.org/10.1371/journal.pone.0189313 |
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