A trait-based framework for seagrass ecology: trends and prospects
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/19536 |
Resumo: | 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. |
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A trait-based framework for seagrass ecology: trends and prospectsFunctional ecologyTrait-based approachSeagrass traits databaseEcosystem service vulnerabilityResponse-effect frameworkIn 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.LA/P/0094/2020; LA/P/0101/2020; EU-H2020-MSCA; grant n°752250 (SEAMET); project Marine Hazard, PON03PE_00203_1 (MUR, Italy)Frontiers MediaSapientiaMoreira-Saporiti, AgustínTeichberg, MirtaGarnier, EricCornelissen, J. Hans C.Alcoverro, TeresaBjörk, MatsBoström, ChristofferDattolo, EmanuelaEklöf, Johan S.Hasler-Sheetal, HaraldMarbà, NuriaMarín-Guirao, LázaroMeysick, LukasOlivé, IreneReusch, Thorsten B. H.Ruocco, MiriamSilva, JoãoSousa, Ana I.Procaccini, GabrieleSantos, Rui2023-05-10T09:20:35Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/19536eng1664-462X10.3389/fpls.2023.1088643info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:32:01Zoai:sapientia.ualg.pt:10400.1/19536Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:09:09.237364Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A trait-based framework for seagrass ecology: trends and prospects |
title |
A trait-based framework for seagrass ecology: trends and prospects |
spellingShingle |
A trait-based framework for seagrass ecology: trends and prospects Moreira-Saporiti, Agustín Functional ecology Trait-based approach Seagrass traits database Ecosystem service vulnerability Response-effect framework |
title_short |
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_sort |
A trait-based framework for seagrass ecology: trends and prospects |
author |
Moreira-Saporiti, Agustín |
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_role |
author |
author2 |
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 |
author2_role |
author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
Functional ecology Trait-based approach Seagrass traits database Ecosystem service vulnerability Response-effect framework |
topic |
Functional ecology Trait-based approach Seagrass traits database Ecosystem service vulnerability Response-effect framework |
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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-10T09:20:35Z 2023 2023-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/19536 |
url |
http://hdl.handle.net/10400.1/19536 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1664-462X 10.3389/fpls.2023.1088643 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Frontiers Media |
publisher.none.fl_str_mv |
Frontiers Media |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133338477264896 |