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

Detalhes bibliográficos
Autor(a) principal: Moreira-Saporiti, Agustín
Data de Publicação: 2023
Outros Autores: 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
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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spelling 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 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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