Cargando…

Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments

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 t...

Descripción completa

Detalles Bibliográficos
Autores principales: Lam‐Gordillo, Orlando, Baring, Ryan, Dittmann, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771161/
https://www.ncbi.nlm.nih.gov/pubmed/33552471
http://dx.doi.org/10.1002/ece3.7040
_version_ 1783629660543778816
author Lam‐Gordillo, Orlando
Baring, Ryan
Dittmann, Sabine
author_facet Lam‐Gordillo, Orlando
Baring, Ryan
Dittmann, Sabine
author_sort Lam‐Gordillo, Orlando
collection PubMed
description 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 Online
Article
Text
id pubmed-7771161
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-77711612021-02-05 Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments Lam‐Gordillo, Orlando Baring, Ryan Dittmann, Sabine Ecol Evol Original Research 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. John Wiley and Sons Inc. 2020-11-27 /pmc/articles/PMC7771161/ /pubmed/33552471 http://dx.doi.org/10.1002/ece3.7040 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Lam‐Gordillo, Orlando
Baring, Ryan
Dittmann, Sabine
Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments
title 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_short 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
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771161/
https://www.ncbi.nlm.nih.gov/pubmed/33552471
http://dx.doi.org/10.1002/ece3.7040
work_keys_str_mv AT lamgordilloorlando establishingthesouthaustralianmacrobenthictraitssamtdatabaseatraitclassificationforfunctionalassessments
AT baringryan establishingthesouthaustralianmacrobenthictraitssamtdatabaseatraitclassificationforfunctionalassessments
AT dittmannsabine establishingthesouthaustralianmacrobenthictraitssamtdatabaseatraitclassificationforfunctionalassessments