Cargando…

A trait-based framework for seagrass ecology: Trends and prospects

In the last three decades, quantitative approaches that rely on organism traits instead of taxonomy have advanced different fields of ecological research through establishing the mechanistic links between environmental drivers, functional traits, and ecosystem functions. A research subfield where tr...

Descripción completa

Detalles Bibliográficos
Autores principales: Moreira-Saporiti, Agustín, Teichberg, Mirta, Garnier, Eric, Cornelissen, J. Hans C., Alcoverro, Teresa, Björk, Mats, Boström, Christoffer, Dattolo, Emanuela, Eklöf, Johan S., Hasler-Sheetal, Harald, Marbà, Nuria, Marín-Guirao, Lázaro, Meysick, Lukas, Olivé, Irene, Reusch, Thorsten B. H., Ruocco, Miriam, Silva, João, Sousa, Ana I., Procaccini, Gabriele, Santos, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067889/
https://www.ncbi.nlm.nih.gov/pubmed/37021321
http://dx.doi.org/10.3389/fpls.2023.1088643
_version_ 1785018571141677056
author Moreira-Saporiti, Agustín
Teichberg, Mirta
Garnier, Eric
Cornelissen, J. Hans C.
Alcoverro, Teresa
Björk, Mats
Boström, Christoffer
Dattolo, Emanuela
Eklöf, Johan S.
Hasler-Sheetal, Harald
Marbà, Nuria
Marín-Guirao, Lázaro
Meysick, Lukas
Olivé, Irene
Reusch, Thorsten B. H.
Ruocco, Miriam
Silva, João
Sousa, Ana I.
Procaccini, Gabriele
Santos, Rui
author_facet Moreira-Saporiti, Agustín
Teichberg, Mirta
Garnier, Eric
Cornelissen, J. Hans C.
Alcoverro, Teresa
Björk, Mats
Boström, Christoffer
Dattolo, Emanuela
Eklöf, Johan S.
Hasler-Sheetal, Harald
Marbà, Nuria
Marín-Guirao, Lázaro
Meysick, Lukas
Olivé, Irene
Reusch, Thorsten B. H.
Ruocco, Miriam
Silva, João
Sousa, Ana I.
Procaccini, Gabriele
Santos, Rui
author_sort Moreira-Saporiti, Agustín
collection PubMed
description In the last three decades, quantitative approaches that rely on organism traits instead of taxonomy have advanced different fields of ecological research through establishing the mechanistic links between environmental drivers, functional traits, and ecosystem functions. A research subfield where trait-based approaches have been frequently used but poorly synthesized is the ecology of seagrasses; marine angiosperms that colonized the ocean 100M YA and today make up productive yet threatened coastal ecosystems globally. Here, we compiled a comprehensive trait-based response-effect framework (TBF) which builds on previous concepts and ideas, including the use of traits for the study of community assembly processes, from dispersal and response to abiotic and biotic factors, to ecosystem function and service provision. We then apply this framework to the global seagrass literature, using a systematic review to identify the strengths, gaps, and opportunities of the field. Seagrass trait research has mostly focused on the effect of environmental drivers on traits, i.e., “environmental filtering” (72%), whereas links between traits and functions are less common (26.9%). Despite the richness of trait-based data available, concepts related to TBFs are rare in the seagrass literature (15% of studies), including the relative importance of neutral and niche assembly processes, or the influence of trait dominance or complementarity in ecosystem function provision. These knowledge gaps indicate ample potential for further research, highlighting the need to understand the links between the unique traits of seagrasses and the ecosystem services they provide.
format Online
Article
Text
id pubmed-10067889
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-100678892023-04-04 A trait-based framework for seagrass ecology: Trends and prospects Moreira-Saporiti, Agustín Teichberg, Mirta Garnier, Eric Cornelissen, J. Hans C. Alcoverro, Teresa Björk, Mats Boström, Christoffer Dattolo, Emanuela Eklöf, Johan S. Hasler-Sheetal, Harald Marbà, Nuria Marín-Guirao, Lázaro Meysick, Lukas Olivé, Irene Reusch, Thorsten B. H. Ruocco, Miriam Silva, João Sousa, Ana I. Procaccini, Gabriele Santos, Rui Front Plant Sci Plant Science In the last three decades, quantitative approaches that rely on organism traits instead of taxonomy have advanced different fields of ecological research through establishing the mechanistic links between environmental drivers, functional traits, and ecosystem functions. A research subfield where trait-based approaches have been frequently used but poorly synthesized is the ecology of seagrasses; marine angiosperms that colonized the ocean 100M YA and today make up productive yet threatened coastal ecosystems globally. Here, we compiled a comprehensive trait-based response-effect framework (TBF) which builds on previous concepts and ideas, including the use of traits for the study of community assembly processes, from dispersal and response to abiotic and biotic factors, to ecosystem function and service provision. We then apply this framework to the global seagrass literature, using a systematic review to identify the strengths, gaps, and opportunities of the field. Seagrass trait research has mostly focused on the effect of environmental drivers on traits, i.e., “environmental filtering” (72%), whereas links between traits and functions are less common (26.9%). Despite the richness of trait-based data available, concepts related to TBFs are rare in the seagrass literature (15% of studies), including the relative importance of neutral and niche assembly processes, or the influence of trait dominance or complementarity in ecosystem function provision. These knowledge gaps indicate ample potential for further research, highlighting the need to understand the links between the unique traits of seagrasses and the ecosystem services they provide. Frontiers Media S.A. 2023-03-20 /pmc/articles/PMC10067889/ /pubmed/37021321 http://dx.doi.org/10.3389/fpls.2023.1088643 Text en Copyright © 2023 Moreira-Saporiti, Teichberg, Garnier, Cornelissen, Alcoverro, Björk, Boström, Dattolo, Eklöf, Hasler-Sheetal, Marbà, Marín-Guirao, Meysick, Olivé, Reusch, Ruocco, Silva, Sousa, Procaccini and Santos https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and thecopyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Moreira-Saporiti, Agustín
Teichberg, Mirta
Garnier, Eric
Cornelissen, J. Hans C.
Alcoverro, Teresa
Björk, Mats
Boström, Christoffer
Dattolo, Emanuela
Eklöf, Johan S.
Hasler-Sheetal, Harald
Marbà, Nuria
Marín-Guirao, Lázaro
Meysick, Lukas
Olivé, Irene
Reusch, Thorsten B. H.
Ruocco, Miriam
Silva, João
Sousa, Ana I.
Procaccini, Gabriele
Santos, Rui
A trait-based framework for seagrass ecology: Trends and prospects
title A trait-based framework for seagrass ecology: Trends and prospects
title_full A trait-based framework for seagrass ecology: Trends and prospects
title_fullStr A trait-based framework for seagrass ecology: Trends and prospects
title_full_unstemmed A trait-based framework for seagrass ecology: Trends and prospects
title_short A trait-based framework for seagrass ecology: Trends and prospects
title_sort trait-based framework for seagrass ecology: trends and prospects
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067889/
https://www.ncbi.nlm.nih.gov/pubmed/37021321
http://dx.doi.org/10.3389/fpls.2023.1088643
work_keys_str_mv AT moreirasaporitiagustin atraitbasedframeworkforseagrassecologytrendsandprospects
AT teichbergmirta atraitbasedframeworkforseagrassecologytrendsandprospects
AT garniereric atraitbasedframeworkforseagrassecologytrendsandprospects
AT cornelissenjhansc atraitbasedframeworkforseagrassecologytrendsandprospects
AT alcoverroteresa atraitbasedframeworkforseagrassecologytrendsandprospects
AT bjorkmats atraitbasedframeworkforseagrassecologytrendsandprospects
AT bostromchristoffer atraitbasedframeworkforseagrassecologytrendsandprospects
AT dattoloemanuela atraitbasedframeworkforseagrassecologytrendsandprospects
AT eklofjohans atraitbasedframeworkforseagrassecologytrendsandprospects
AT haslersheetalharald atraitbasedframeworkforseagrassecologytrendsandprospects
AT marbanuria atraitbasedframeworkforseagrassecologytrendsandprospects
AT maringuiraolazaro atraitbasedframeworkforseagrassecologytrendsandprospects
AT meysicklukas atraitbasedframeworkforseagrassecologytrendsandprospects
AT oliveirene atraitbasedframeworkforseagrassecologytrendsandprospects
AT reuschthorstenbh atraitbasedframeworkforseagrassecologytrendsandprospects
AT ruoccomiriam atraitbasedframeworkforseagrassecologytrendsandprospects
AT silvajoao atraitbasedframeworkforseagrassecologytrendsandprospects
AT sousaanai atraitbasedframeworkforseagrassecologytrendsandprospects
AT procaccinigabriele atraitbasedframeworkforseagrassecologytrendsandprospects
AT santosrui atraitbasedframeworkforseagrassecologytrendsandprospects
AT moreirasaporitiagustin traitbasedframeworkforseagrassecologytrendsandprospects
AT teichbergmirta traitbasedframeworkforseagrassecologytrendsandprospects
AT garniereric traitbasedframeworkforseagrassecologytrendsandprospects
AT cornelissenjhansc traitbasedframeworkforseagrassecologytrendsandprospects
AT alcoverroteresa traitbasedframeworkforseagrassecologytrendsandprospects
AT bjorkmats traitbasedframeworkforseagrassecologytrendsandprospects
AT bostromchristoffer traitbasedframeworkforseagrassecologytrendsandprospects
AT dattoloemanuela traitbasedframeworkforseagrassecologytrendsandprospects
AT eklofjohans traitbasedframeworkforseagrassecologytrendsandprospects
AT haslersheetalharald traitbasedframeworkforseagrassecologytrendsandprospects
AT marbanuria traitbasedframeworkforseagrassecologytrendsandprospects
AT maringuiraolazaro traitbasedframeworkforseagrassecologytrendsandprospects
AT meysicklukas traitbasedframeworkforseagrassecologytrendsandprospects
AT oliveirene traitbasedframeworkforseagrassecologytrendsandprospects
AT reuschthorstenbh traitbasedframeworkforseagrassecologytrendsandprospects
AT ruoccomiriam traitbasedframeworkforseagrassecologytrendsandprospects
AT silvajoao traitbasedframeworkforseagrassecologytrendsandprospects
AT sousaanai traitbasedframeworkforseagrassecologytrendsandprospects
AT procaccinigabriele traitbasedframeworkforseagrassecologytrendsandprospects
AT santosrui traitbasedframeworkforseagrassecologytrendsandprospects