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: | , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/337379 |
| Acesso em linha: | http://hdl.handle.net/10261/337379 https://api.elsevier.com/content/abstract/scopus_id/85152516286 |
| Access Level: | acceso abierto |
| Palavra-chave: | Ecosystem service vulnerability Functional ecology Response-effect framework Seagrass traits database Trait-based approach |
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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 Ecosystem service vulnerability Functional ecology Response-effect framework Seagrass traits database Trait-based approach |
| 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 |
| dc.creator.none.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, Núria Marín-Guirao, Lázaro Meysick, Lukas Olivé, Irene Reusch, Thorsten B. H. Ruocco, Miriam Silva, João Sousa, Ana I. Procaccini, Gabriele Santos, Rui |
| 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, Núria 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, Núria 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 |
German Research Foundation Foundation for Science and Technology Åbo Akademi University European Commission Alcoverro, Teresa [0000-0002-3910-9594] Marbà, Núria [0000-0002-8048-6789] Marín-Guirao, Lázaro [0000-0001-6240-8018 Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Ecosystem service vulnerability Functional ecology Response-effect framework Seagrass traits database Trait-based approach |
| topic |
Ecosystem service vulnerability Functional ecology Response-effect framework Seagrass traits database Trait-based approach |
| 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 2023 2023 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/337379 https://api.elsevier.com/content/abstract/scopus_id/85152516286 |
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http://hdl.handle.net/10261/337379 https://api.elsevier.com/content/abstract/scopus_id/85152516286 |
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Inglés |
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Inglés |
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https://doi.org/10.3389/fpls.2023.1088643 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Frontiers Media |
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Frontiers Media |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869417673638543360 |
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A trait-based framework for seagrass ecology: Trends and prospectsMoreira-Saporiti, AgustínTeichberg, MirtaGarnier, EricCornelissen, J. Hans C.Alcoverro, TeresaBjörk, MatsBoström, ChristofferDattolo, EmanuelaEklöf, Johan SHasler-Sheetal, HaraldMarbà, NúriaMarín-Guirao, LázaroMeysick, LukasOlivé, IreneReusch, Thorsten B. H.Ruocco, MiriamSilva, JoãoSousa, Ana I.Procaccini, GabrieleSantos, RuiEcosystem service vulnerabilityFunctional ecologyResponse-effect frameworkSeagrass traits databaseTrait-based approachIn 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.The Euromarine Network funded the initial workshop that led to the development of this manuscript. AM-S was funded by the Leibniz Association as part of the project SEATRAIT and MT was supported by the German Research Foundation (DFG) within the individual Grants Program, project SEAMAC (TE 1046/3-1). AIS was funded by Portuguese national funds through the FCT - Foundation for Science and Technology, I.P., under the project CEECIND/00962/2017 and by FCT/MCTES through the financial support to CESAM (UIDB/50017/2020+UIDP/50017/2020 +LA/P/0094/2020). This study received Portuguese national funds from FCT - Foundation for Science and Technology through projects UIDB/04326/2020, UIDP/04326/2020 and LA/P/0101/2020 of CCMAR. IO was funded by the EU-H2020-MSCA grant n° 752250 (SEAMET). CB was funded by the Åbo Akademi University Foundation Sr and LM was funded by the doctoral network Functional Marine Biodiversity (FunMarBio) at Åbo Akademi University. RS acknowledges the support of the European Union’s Horizon 2020 Research and Innovation Program under the Grant Agreement Number 857251. GP, ED and MR were partially supported by the project Marine Hazard, PON03PE_00203_1 (MUR, Italy); MR was partially supported by a SZN PhD fellowship via the Open University.Peer reviewedFrontiers MediaGerman Research FoundationFoundation for Science and TechnologyÅbo Akademi UniversityEuropean CommissionAlcoverro, Teresa [0000-0002-3910-9594]Marbà, Núria [0000-0002-8048-6789]Marín-Guirao, Lázaro [0000-0001-6240-8018Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/337379https://api.elsevier.com/content/abstract/scopus_id/85152516286reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.3389/fpls.2023.1088643Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3373792026-05-22T06:33:51Z |
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15,811543 |