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

dc.contributor.author Moreira-Saporiti, Agustín
dc.contributor.author Teichberg, Mirta
dc.contributor.author Garnier, Eric
dc.contributor.author Cornelissen, J. Hans C.
dc.contributor.author Alcoverro, Teresa
dc.contributor.author Björk, Mats
dc.contributor.author Boström, Christoffer
dc.contributor.author Dattolo, Emanuela
dc.contributor.author Eklöf, Johan S.
dc.contributor.author Hasler-Sheetal, Harald
dc.contributor.author Marbà, Nuria
dc.contributor.author Marín-Guirao, Lázaro
dc.contributor.author Meysick, Lukas
dc.contributor.author Olivé, Irene
dc.contributor.author Reusch, Thorsten B. H.
dc.contributor.author Ruocco, Miriam
dc.contributor.author Silva, João
dc.contributor.author Sousa, Ana I.
dc.contributor.author Procaccini, Gabriele
dc.contributor.author Santos, Rui
dc.date.accessioned 2023-12-12T20:17:20Z
dc.date.available 2023-12-12T20:17:20Z
dc.date.issued 2023-03-20
dc.description © The Author(s), 2023. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Moreira-Saporiti, A., Teichberg, M., Garnier, E., Cornelissen, J. H. C., Alcoverro, T., Bjork, M., Bostrom, C., Dattolo, E., Eklof, J. S., Hasler-Sheetal, H., Marba, N., Marin-Guirao, L., Meysick, L., Olive, I., Reusch, T. B. H., Ruocco, M., Silva, J., Sousa, A. I., Procaccini, G., & Santos, R. A trait-based framework for seagrass ecology: Trends and prospects. Frontiers in Plant Science, 14, (2023): 1088643, https://doi.org/10.3389/fpls.2023.1088643.
dc.description.abstract 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.
dc.description.sponsorship 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.
dc.identifier.citation Moreira-Saporiti, A., Teichberg, M., Garnier, E., Cornelissen, J. H. C., Alcoverro, T., Bjork, M., Bostrom, C., Dattolo, E., Eklof, J. S., Hasler-Sheetal, H., Marba, N., Marin-Guirao, L., Meysick, L., Olive, I., Reusch, T. B. H., Ruocco, M., Silva, J., Sousa, A. I., Procaccini, G., & Santos, R. (2023). A trait-based framework for seagrass ecology: Trends and prospects. Frontiers in Plant Science, 14, 1088643.
dc.identifier.doi 10.3389/fpls.2023.1088643
dc.identifier.uri https://hdl.handle.net/1912/67290
dc.publisher Frontiers Media
dc.relation.uri https://doi.org/10.3389/fpls.2023.1088643
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Functional ecology
dc.subject Trait-based approach
dc.subject Seagrass traits database
dc.subject Ecosystem service vulnerability
dc.subject Response-effect framework
dc.title A trait-based framework for seagrass ecology: trends and prospects
dc.type Article
dspace.entity.type Publication
relation.isAuthorOfPublication 0b2bc017-12a5-4bd0-9426-64b3c5d5a536
relation.isAuthorOfPublication 02ac787a-df0f-4400-a4e9-de762157fbf8
relation.isAuthorOfPublication 40186d0c-5b88-4fff-8213-613935a3479e
relation.isAuthorOfPublication c7120518-2894-43b1-953c-a3a77c312e43
relation.isAuthorOfPublication.latestForDiscovery 0b2bc017-12a5-4bd0-9426-64b3c5d5a536
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
fpls-14-1088643.pdf
Size:
4.78 MB
Format:
Adobe Portable Document Format
Description:
Thumbnail Image
Name:
Data Sheet 1.pdf
Size:
446.77 KB
Format:
Adobe Portable Document Format
Description:
No Thumbnail Available
Name:
Data Sheet 2.xlsx
Size:
142.36 KB
Format:
Microsoft Excel
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.88 KB
Format:
Item-specific license agreed upon to submission
Description: