Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments
Abstract Trait‐based approaches are increasingly used as a proxy for understanding the relationship between biodiversity and ecosystem functioning. Macrobenthic fauna are considered one of the major providers of ecosystem functions in marine soft sediments; however, several gaps persist in the knowl...
Published in: | Ecology and Evolution |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2020
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1002/ece3.7040 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7040 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ece3.7040 |
id |
crwiley:10.1002/ece3.7040 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.1002/ece3.7040 2024-10-13T14:09:26+00:00 Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments Lam‐Gordillo, Orlando Baring, Ryan Dittmann, Sabine 2020 http://dx.doi.org/10.1002/ece3.7040 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7040 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ece3.7040 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Ecology and Evolution volume 10, issue 24, page 14372-14387 ISSN 2045-7758 2045-7758 journal-article 2020 crwiley https://doi.org/10.1002/ece3.7040 2024-09-23T04:35:05Z Abstract Trait‐based approaches are increasingly used as a proxy for understanding the relationship between biodiversity and ecosystem functioning. Macrobenthic fauna are considered one of the major providers of ecosystem functions in marine soft sediments; however, several gaps persist in the knowledge of their trait classification, limiting the potential use of functional assessments. While trait databases are available for the well‐studied North Atlantic benthic fauna, no such trait classification system exists for Australia. Here, we present the South Australian Macrobenthic Traits (SAMT) database, the first comprehensive assessment of macrobenthic fauna traits in temperate Australian waters. The SAMT database includes 13 traits and 54 trait‐modalities (e.g., life history, morphology, physiology, and behavior), and is based on records of macrobenthic fauna from South Australia. We provide trait information for more than 250 macrobenthic taxa, including outcomes from a fuzzy coding procedure, as well as an R package for using and analyzing the SAMT database. The establishment of the SAMT constitutes the foundation for a comprehensive macrobenthic trait database for the wider southern Australian region that could facilitate future research on functional perspectives, such as assessments of functional diversity and changes to ecosystem functioning. Article in Journal/Newspaper North Atlantic Wiley Online Library Ecology and Evolution 10 24 14372 14387 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
Abstract Trait‐based approaches are increasingly used as a proxy for understanding the relationship between biodiversity and ecosystem functioning. Macrobenthic fauna are considered one of the major providers of ecosystem functions in marine soft sediments; however, several gaps persist in the knowledge of their trait classification, limiting the potential use of functional assessments. While trait databases are available for the well‐studied North Atlantic benthic fauna, no such trait classification system exists for Australia. Here, we present the South Australian Macrobenthic Traits (SAMT) database, the first comprehensive assessment of macrobenthic fauna traits in temperate Australian waters. The SAMT database includes 13 traits and 54 trait‐modalities (e.g., life history, morphology, physiology, and behavior), and is based on records of macrobenthic fauna from South Australia. We provide trait information for more than 250 macrobenthic taxa, including outcomes from a fuzzy coding procedure, as well as an R package for using and analyzing the SAMT database. The establishment of the SAMT constitutes the foundation for a comprehensive macrobenthic trait database for the wider southern Australian region that could facilitate future research on functional perspectives, such as assessments of functional diversity and changes to ecosystem functioning. |
format |
Article in Journal/Newspaper |
author |
Lam‐Gordillo, Orlando Baring, Ryan Dittmann, Sabine |
spellingShingle |
Lam‐Gordillo, Orlando Baring, Ryan Dittmann, Sabine Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments |
author_facet |
Lam‐Gordillo, Orlando Baring, Ryan Dittmann, Sabine |
author_sort |
Lam‐Gordillo, Orlando |
title |
Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments |
title_short |
Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments |
title_full |
Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments |
title_fullStr |
Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments |
title_full_unstemmed |
Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments |
title_sort |
establishing the south australian macrobenthic traits (samt) database: a trait classification for functional assessments |
publisher |
Wiley |
publishDate |
2020 |
url |
http://dx.doi.org/10.1002/ece3.7040 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7040 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ece3.7040 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Ecology and Evolution volume 10, issue 24, page 14372-14387 ISSN 2045-7758 2045-7758 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/ece3.7040 |
container_title |
Ecology and Evolution |
container_volume |
10 |
container_issue |
24 |
container_start_page |
14372 |
op_container_end_page |
14387 |
_version_ |
1812816413378740224 |