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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
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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 |
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