A multiscale approach to mapping seabed sediments
Benthic habitat maps, including maps of seabed sediments, have become critical spatial-decision support tools for marine ecological management and conservation. Despite the increasing recognition that environmental variables should be considered at multiple spatial scales, variables used in habitat...
Published in: | PLOS ONE |
---|---|
Main Authors: | , , |
Format: | Text |
Language: | English |
Published: |
Public Library of Science
2018
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831638/ http://www.ncbi.nlm.nih.gov/pubmed/29489899 https://doi.org/10.1371/journal.pone.0193647 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:5831638 |
---|---|
record_format |
openpolar |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:5831638 2023-05-15T17:48:04+02:00 A multiscale approach to mapping seabed sediments Misiuk, Benjamin Lecours, Vincent Bell, Trevor 2018-02-28 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831638/ http://www.ncbi.nlm.nih.gov/pubmed/29489899 https://doi.org/10.1371/journal.pone.0193647 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831638/ http://www.ncbi.nlm.nih.gov/pubmed/29489899 http://dx.doi.org/10.1371/journal.pone.0193647 © 2018 Misiuk et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Research Article Text 2018 ftpubmed https://doi.org/10.1371/journal.pone.0193647 2018-03-25T00:55:24Z Benthic habitat maps, including maps of seabed sediments, have become critical spatial-decision support tools for marine ecological management and conservation. Despite the increasing recognition that environmental variables should be considered at multiple spatial scales, variables used in habitat mapping are often implemented at a single scale. The objective of this study was to evaluate the potential for using environmental variables at multiple scales for modelling and mapping seabed sediments. Sixteen environmental variables were derived from multibeam echosounder data collected near Qikiqtarjuaq, Nunavut, Canada at eight spatial scales ranging from 5 to 275 m, and were tested as predictor variables for modelling seabed sediment distributions. Using grain size data obtained from grab samples, we tested which scales of each predictor variable contributed most to sediment models. Results showed that the default scale was often not the best. Out of 129 potential scale-dependent variables, 11 were selected to model the additive log-ratio of mud and sand at five different scales, and 15 were selected to model the additive log-ratio of gravel and sand, also at five different scales. Boosted Regression Tree models that explained between 46.4 and 56.3% of statistical deviance produced multiscale predictions of mud, sand, and gravel that were correlated with cross-validated test data (Spearman’s ρmud = 0.77, ρsand = 0.71, ρgravel = 0.58). Predictions of individual size fractions were classified to produce a map of seabed sediments that is useful for marine spatial planning. Based on the scale-dependence of variables in this study, we concluded that spatial scale consideration is at least as important as variable selection in seabed mapping. Text Nunavut Qikiqtarjuaq PubMed Central (PMC) Canada Nunavut Qikiqtarjuaq ENVELOPE(-64.029,-64.029,67.557,67.557) PLOS ONE 13 2 e0193647 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Research Article |
spellingShingle |
Research Article Misiuk, Benjamin Lecours, Vincent Bell, Trevor A multiscale approach to mapping seabed sediments |
topic_facet |
Research Article |
description |
Benthic habitat maps, including maps of seabed sediments, have become critical spatial-decision support tools for marine ecological management and conservation. Despite the increasing recognition that environmental variables should be considered at multiple spatial scales, variables used in habitat mapping are often implemented at a single scale. The objective of this study was to evaluate the potential for using environmental variables at multiple scales for modelling and mapping seabed sediments. Sixteen environmental variables were derived from multibeam echosounder data collected near Qikiqtarjuaq, Nunavut, Canada at eight spatial scales ranging from 5 to 275 m, and were tested as predictor variables for modelling seabed sediment distributions. Using grain size data obtained from grab samples, we tested which scales of each predictor variable contributed most to sediment models. Results showed that the default scale was often not the best. Out of 129 potential scale-dependent variables, 11 were selected to model the additive log-ratio of mud and sand at five different scales, and 15 were selected to model the additive log-ratio of gravel and sand, also at five different scales. Boosted Regression Tree models that explained between 46.4 and 56.3% of statistical deviance produced multiscale predictions of mud, sand, and gravel that were correlated with cross-validated test data (Spearman’s ρmud = 0.77, ρsand = 0.71, ρgravel = 0.58). Predictions of individual size fractions were classified to produce a map of seabed sediments that is useful for marine spatial planning. Based on the scale-dependence of variables in this study, we concluded that spatial scale consideration is at least as important as variable selection in seabed mapping. |
format |
Text |
author |
Misiuk, Benjamin Lecours, Vincent Bell, Trevor |
author_facet |
Misiuk, Benjamin Lecours, Vincent Bell, Trevor |
author_sort |
Misiuk, Benjamin |
title |
A multiscale approach to mapping seabed sediments |
title_short |
A multiscale approach to mapping seabed sediments |
title_full |
A multiscale approach to mapping seabed sediments |
title_fullStr |
A multiscale approach to mapping seabed sediments |
title_full_unstemmed |
A multiscale approach to mapping seabed sediments |
title_sort |
multiscale approach to mapping seabed sediments |
publisher |
Public Library of Science |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831638/ http://www.ncbi.nlm.nih.gov/pubmed/29489899 https://doi.org/10.1371/journal.pone.0193647 |
long_lat |
ENVELOPE(-64.029,-64.029,67.557,67.557) |
geographic |
Canada Nunavut Qikiqtarjuaq |
geographic_facet |
Canada Nunavut Qikiqtarjuaq |
genre |
Nunavut Qikiqtarjuaq |
genre_facet |
Nunavut Qikiqtarjuaq |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831638/ http://www.ncbi.nlm.nih.gov/pubmed/29489899 http://dx.doi.org/10.1371/journal.pone.0193647 |
op_rights |
© 2018 Misiuk et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0193647 |
container_title |
PLOS ONE |
container_volume |
13 |
container_issue |
2 |
container_start_page |
e0193647 |
_version_ |
1766153255164837888 |