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High-resolution wave data for improving marine habitat suitability models

Chiara Bertelli Orcid Logo, William Bennett Orcid Logo, Harshinie Karunarathna Orcid Logo, Dominic Reeve Orcid Logo, Richard Unsworth Orcid Logo, James Bull Orcid Logo

Frontiers in Marine Science, Volume: 9

Swansea University Authors: Chiara Bertelli Orcid Logo, William Bennett Orcid Logo, Harshinie Karunarathna Orcid Logo, Dominic Reeve Orcid Logo, Richard Unsworth Orcid Logo, James Bull Orcid Logo

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DOI (Published version): 10.3389/fmars.2022.1004829

Abstract

Habitat suitability modelling (HSM) is a tool that is increasingly being used to help guide decision making for conservation management. It can also be used to focus efforts of restoration in our oceans. To improve on model performance, the best available environmental data along with species presen...

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Published in: Frontiers in Marine Science
ISSN: 2296-7745
Published: Frontiers Media SA 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62254
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It can also be used to focus efforts of restoration in our oceans. To improve on model performance, the best available environmental data along with species presence data is needed. Marine habitats tend to have ecological niches defined by physical environmental conditions and of particular importance for shallow water species is wave energy. In this study we examined the relative improvements to HSM outputs that could be achieved by producing high-resolution Delft-3D modelled wave height data to see if model predictions at a fine-scale can be improved. Seagrasses were used as an exemplar and comparisons at fine-scale showed considerable differences in the area predicted suitable for seagrass growth and greatly increased the importance of waves as a predictor variable when compared with open-source low resolution wave energy data.</abstract><type>Journal Article</type><journal>Frontiers in Marine Science</journal><volume>9</volume><journalNumber/><paginationStart/><paginationEnd/><publisher>Frontiers Media SA</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2296-7745</issnElectronic><keywords>seagrass, restoration, habitat suitability modelling, Delft-3D wave modelling, Zostera marina</keywords><publishedDay>6</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-01-06</publishedDate><doi>10.3389/fmars.2022.1004829</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm>External research funder(s) paid the OA fee (includes OA grants disbursed by the Library)</apcterm><funders>NERC, NE/V01711X/1</funders><projectreference/><lastEdited>2023-02-01T18:03:08.9756831</lastEdited><Created>2023-01-03T15:06:37.4740251</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Chiara</firstname><surname>Bertelli</surname><orcid>0000-0002-9799-2522</orcid><order>1</order></author><author><firstname>William</firstname><surname>Bennett</surname><orcid>0000-0002-7229-5747</orcid><order>2</order></author><author><firstname>Harshinie</firstname><surname>Karunarathna</surname><orcid>0000-0002-9087-3811</orcid><order>3</order></author><author><firstname>Dominic</firstname><surname>Reeve</surname><orcid>0000-0003-1293-4743</orcid><order>4</order></author><author><firstname>Richard</firstname><surname>Unsworth</surname><orcid>0000-0003-0036-9724</orcid><order>5</order></author><author><firstname>James</firstname><surname>Bull</surname><orcid>0000-0002-4373-6830</orcid><order>6</order></author></authors><documents><document><filename>62254__26250__ac6df191d4f744349c68663b84cb7f55.pdf</filename><originalFilename>62254.pdf</originalFilename><uploaded>2023-01-11T13:24:39.1509572</uploaded><type>Output</type><contentLength>7377237</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2023-02-01T18:03:08.9756831 v2 62254 2023-01-03 High-resolution wave data for improving marine habitat suitability models ef2a5aa98cae33d09caf7b77f6f16e71 0000-0002-9799-2522 Chiara Bertelli Chiara Bertelli true false 02f99b24e395a83ca52f7b85b151b29b 0000-0002-7229-5747 William Bennett William Bennett true false 0d3d327a240d49b53c78e02b7c00e625 0000-0002-9087-3811 Harshinie Karunarathna Harshinie Karunarathna true false 3e76fcc2bb3cde4ddee2c8edfd2f0082 0000-0003-1293-4743 Dominic Reeve Dominic Reeve true false b0f33acd13a3ab541cf2aaea27f4fc2f 0000-0003-0036-9724 Richard Unsworth Richard Unsworth true false 20742518482c020c80b81b88e5313356 0000-0002-4373-6830 James Bull James Bull true false 2023-01-03 SBI Habitat suitability modelling (HSM) is a tool that is increasingly being used to help guide decision making for conservation management. It can also be used to focus efforts of restoration in our oceans. To improve on model performance, the best available environmental data along with species presence data is needed. Marine habitats tend to have ecological niches defined by physical environmental conditions and of particular importance for shallow water species is wave energy. In this study we examined the relative improvements to HSM outputs that could be achieved by producing high-resolution Delft-3D modelled wave height data to see if model predictions at a fine-scale can be improved. Seagrasses were used as an exemplar and comparisons at fine-scale showed considerable differences in the area predicted suitable for seagrass growth and greatly increased the importance of waves as a predictor variable when compared with open-source low resolution wave energy data. Journal Article Frontiers in Marine Science 9 Frontiers Media SA 2296-7745 seagrass, restoration, habitat suitability modelling, Delft-3D wave modelling, Zostera marina 6 1 2023 2023-01-06 10.3389/fmars.2022.1004829 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) NERC, NE/V01711X/1 2023-02-01T18:03:08.9756831 2023-01-03T15:06:37.4740251 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Chiara Bertelli 0000-0002-9799-2522 1 William Bennett 0000-0002-7229-5747 2 Harshinie Karunarathna 0000-0002-9087-3811 3 Dominic Reeve 0000-0003-1293-4743 4 Richard Unsworth 0000-0003-0036-9724 5 James Bull 0000-0002-4373-6830 6 62254__26250__ac6df191d4f744349c68663b84cb7f55.pdf 62254.pdf 2023-01-11T13:24:39.1509572 Output 7377237 application/pdf Version of Record true This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) true eng http://creativecommons.org/licenses/by/4.0/
title High-resolution wave data for improving marine habitat suitability models
spellingShingle High-resolution wave data for improving marine habitat suitability models
Chiara Bertelli
William Bennett
Harshinie Karunarathna
Dominic Reeve
Richard Unsworth
James Bull
title_short High-resolution wave data for improving marine habitat suitability models
title_full High-resolution wave data for improving marine habitat suitability models
title_fullStr High-resolution wave data for improving marine habitat suitability models
title_full_unstemmed High-resolution wave data for improving marine habitat suitability models
title_sort High-resolution wave data for improving marine habitat suitability models
author_id_str_mv ef2a5aa98cae33d09caf7b77f6f16e71
02f99b24e395a83ca52f7b85b151b29b
0d3d327a240d49b53c78e02b7c00e625
3e76fcc2bb3cde4ddee2c8edfd2f0082
b0f33acd13a3ab541cf2aaea27f4fc2f
20742518482c020c80b81b88e5313356
author_id_fullname_str_mv ef2a5aa98cae33d09caf7b77f6f16e71_***_Chiara Bertelli
02f99b24e395a83ca52f7b85b151b29b_***_William Bennett
0d3d327a240d49b53c78e02b7c00e625_***_Harshinie Karunarathna
3e76fcc2bb3cde4ddee2c8edfd2f0082_***_Dominic Reeve
b0f33acd13a3ab541cf2aaea27f4fc2f_***_Richard Unsworth
20742518482c020c80b81b88e5313356_***_James Bull
author Chiara Bertelli
William Bennett
Harshinie Karunarathna
Dominic Reeve
Richard Unsworth
James Bull
author2 Chiara Bertelli
William Bennett
Harshinie Karunarathna
Dominic Reeve
Richard Unsworth
James Bull
format Journal article
container_title Frontiers in Marine Science
container_volume 9
publishDate 2023
institution Swansea University
issn 2296-7745
doi_str_mv 10.3389/fmars.2022.1004829
publisher Frontiers Media SA
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 1
active_str 0
description Habitat suitability modelling (HSM) is a tool that is increasingly being used to help guide decision making for conservation management. It can also be used to focus efforts of restoration in our oceans. To improve on model performance, the best available environmental data along with species presence data is needed. Marine habitats tend to have ecological niches defined by physical environmental conditions and of particular importance for shallow water species is wave energy. In this study we examined the relative improvements to HSM outputs that could be achieved by producing high-resolution Delft-3D modelled wave height data to see if model predictions at a fine-scale can be improved. Seagrasses were used as an exemplar and comparisons at fine-scale showed considerable differences in the area predicted suitable for seagrass growth and greatly increased the importance of waves as a predictor variable when compared with open-source low resolution wave energy data.
published_date 2023-01-06T04:21:43Z
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score 11.036706

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