Journal article
High-resolution wave data for improving marine habitat suitability models
Frontiers in Marine Science, Volume: 9
Swansea University Authors: Chiara Bertelli , William Bennett , Harshinie Karunarathna , Dominic Reeve , Richard Unsworth , James Bull
-
PDF | Version of Record
© 2023 Bertelli, Bennett, Karunarathna, Reeve, Unsworth and Bull. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Download (7.04MB)
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 distri...
Published in: | Frontiers in Marine Science |
---|---|
ISSN: | 2296-7745 |
Published: |
Frontiers Media SA
2023
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa67876 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2024-11-04T13:58:07Z |
---|---|
last_indexed |
2024-11-04T13:58:07Z |
id |
cronfa67876 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>67876</id><entry>2024-10-01</entry><title>High-resolution wave data for improving marine habitat suitability models</title><swanseaauthors><author><sid>ef2a5aa98cae33d09caf7b77f6f16e71</sid><ORCID>0000-0002-9799-2522</ORCID><firstname>Chiara</firstname><surname>Bertelli</surname><name>Chiara Bertelli</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>02f99b24e395a83ca52f7b85b151b29b</sid><ORCID>0000-0002-7229-5747</ORCID><firstname>William</firstname><surname>Bennett</surname><name>William Bennett</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>0d3d327a240d49b53c78e02b7c00e625</sid><ORCID>0000-0002-9087-3811</ORCID><firstname>Harshinie</firstname><surname>Karunarathna</surname><name>Harshinie Karunarathna</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>3e76fcc2bb3cde4ddee2c8edfd2f0082</sid><ORCID>0000-0003-1293-4743</ORCID><firstname>Dominic</firstname><surname>Reeve</surname><name>Dominic Reeve</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>b0f33acd13a3ab541cf2aaea27f4fc2f</sid><ORCID>0000-0003-0036-9724</ORCID><firstname>Richard</firstname><surname>Unsworth</surname><name>Richard Unsworth</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>20742518482c020c80b81b88e5313356</sid><ORCID>0000-0002-4373-6830</ORCID><firstname>James</firstname><surname>Bull</surname><name>James Bull</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-10-01</date><deptcode>BGPS</deptcode><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 distribution data are 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 Geography and Physics School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BGPS</DepartmentCode><institution>Swansea University</institution><apcterm>External research funder(s) paid the OA fee (includes OA grants disbursed by the Library)</apcterm><funders>Initial study was funded by WWF and Sky Seagrass Ocean Rescue project with follow up funding from ReSOW NERC funding NE/V01711X/1 to continue and complete the investigation.</funders><projectreference/><lastEdited>2024-11-04T14:02:47.7161584</lastEdited><Created>2024-10-01T15:08:22.2200758</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>67876__32835__a67b2817e5cd495db23dddbdbc30f957.pdf</filename><originalFilename>67876.VoR.pdf</originalFilename><uploaded>2024-11-04T13:58:40.9494320</uploaded><type>Output</type><contentLength>7377237</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2023 Bertelli, Bennett, Karunarathna, Reeve, Unsworth and Bull. 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 |
v2 67876 2024-10-01 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 2024-10-01 BGPS 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 distribution data are 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 Geography and Physics School COLLEGE CODE BGPS Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) Initial study was funded by WWF and Sky Seagrass Ocean Rescue project with follow up funding from ReSOW NERC funding NE/V01711X/1 to continue and complete the investigation. 2024-11-04T14:02:47.7161584 2024-10-01T15:08:22.2200758 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 67876__32835__a67b2817e5cd495db23dddbdbc30f957.pdf 67876.VoR.pdf 2024-11-04T13:58:40.9494320 Output 7377237 application/pdf Version of Record true © 2023 Bertelli, Bennett, Karunarathna, Reeve, Unsworth and Bull. 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 distribution data are 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 |
2023-01-06T14:02:46Z |
_version_ |
1814800856931893248 |
score |
11.036706 |