Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional Grouping

Global degradation of coral reefs is reflected in the destruction of shelters in various environments and threatens the stability of marine ecosystems. Artificial shelters offer an alternative, but their design could be more challenging due to limited knowledge regarding desired inhabitants’ shelter...

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Main Authors: Tamar Shabi, Yaron Ziv, Reuven Yosef, Nadav Shashar
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/12/1/186
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author Tamar Shabi
Yaron Ziv
Reuven Yosef
Nadav Shashar
author_facet Tamar Shabi
Yaron Ziv
Reuven Yosef
Nadav Shashar
author_sort Tamar Shabi
collection DOAJ
description Global degradation of coral reefs is reflected in the destruction of shelters in various environments and threatens the stability of marine ecosystems. Artificial shelters offer an alternative, but their design could be more challenging due to limited knowledge regarding desired inhabitants’ shelter characteristics and preferences. Investigating these preferences is resource-intensive, particularly regarding small shelters that mimic natural reef conditions. Furthermore, for statistical analysis in small shelters, fish abundance may need to be higher. We propose a method to characterize the species-specific shelter preferences using low-volume data. During a study conducted from January 2021 to April 2022, round clay artificial shelters (RAS) were deployed on an abandoned oil pier to examine a coral reef fish community. We recorded 92 species from 30 families and grouped them into systematic (families) and functional (dietary group) classes. Grouping enabled us to examine each group’s preference, while crossing these group preferences revealed species-specific preferences, which matched field observations. This approach proved effective in profiling the shelter preferences of 17 species while having limited resources. These profiles may later allow the establishment of ecological-oriented artificial reefs. Moreover, this method can be applied to other applications using other shelter designs, sizes, and research sites.
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spelling doaj.art-6138825fd6b844c7b4f8dcdb9d64573f2024-01-26T17:17:52ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-01-0112118610.3390/jmse12010186Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional GroupingTamar Shabi0Yaron Ziv1Reuven Yosef2Nadav Shashar3Marine Biology and Biotechnology Program, Department of Life Sciences, Eilat Campus, Ben Gurion University of the Negev, Beer Sheva 84105, IsraelFaculty of Natural Sciences, Department of Life Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, IsraelMarine Biology and Biotechnology Program, Department of Life Sciences, Eilat Campus, Ben Gurion University of the Negev, Beer Sheva 84105, IsraelMarine Biology and Biotechnology Program, Department of Life Sciences, Eilat Campus, Ben Gurion University of the Negev, Beer Sheva 84105, IsraelGlobal degradation of coral reefs is reflected in the destruction of shelters in various environments and threatens the stability of marine ecosystems. Artificial shelters offer an alternative, but their design could be more challenging due to limited knowledge regarding desired inhabitants’ shelter characteristics and preferences. Investigating these preferences is resource-intensive, particularly regarding small shelters that mimic natural reef conditions. Furthermore, for statistical analysis in small shelters, fish abundance may need to be higher. We propose a method to characterize the species-specific shelter preferences using low-volume data. During a study conducted from January 2021 to April 2022, round clay artificial shelters (RAS) were deployed on an abandoned oil pier to examine a coral reef fish community. We recorded 92 species from 30 families and grouped them into systematic (families) and functional (dietary group) classes. Grouping enabled us to examine each group’s preference, while crossing these group preferences revealed species-specific preferences, which matched field observations. This approach proved effective in profiling the shelter preferences of 17 species while having limited resources. These profiles may later allow the establishment of ecological-oriented artificial reefs. Moreover, this method can be applied to other applications using other shelter designs, sizes, and research sites.https://www.mdpi.com/2077-1312/12/1/186artificial reefsrestorationshelter characteristicRed Seashelter design
spellingShingle Tamar Shabi
Yaron Ziv
Reuven Yosef
Nadav Shashar
Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional Grouping
Journal of Marine Science and Engineering
artificial reefs
restoration
shelter characteristic
Red Sea
shelter design
title Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional Grouping
title_full Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional Grouping
title_fullStr Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional Grouping
title_full_unstemmed Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional Grouping
title_short Deciphering Preferences for Shelter Volume and Distribution by Coral Reef Fish, Using Systematic and Functional Grouping
title_sort deciphering preferences for shelter volume and distribution by coral reef fish using systematic and functional grouping
topic artificial reefs
restoration
shelter characteristic
Red Sea
shelter design
url https://www.mdpi.com/2077-1312/12/1/186
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AT reuvenyosef decipheringpreferencesforsheltervolumeanddistributionbycoralreeffishusingsystematicandfunctionalgrouping
AT nadavshashar decipheringpreferencesforsheltervolumeanddistributionbycoralreeffishusingsystematicandfunctionalgrouping