Seawater carbonate chemistry and the recruitment of macroalgal marine forests

DOI

Marine forests are shrinking globally due to several anthropogenic impacts including climate change. Forest-forming macroalgae, such as Cystoseira s.l. species, can be particularly sensitive to environmental conditions (e.g. temperature increase, pollution or sedimentation), especially during early life stages. However, not much is known about their response to the interactive effects of ocean warming (OW) and acidification (OA). These drivers can also affect the performance and survival of crustose coralline algae, which are associated understory species likely playing a role in the recruitment of later successional species such as forest-forming macroalgae. We tested the interactive effects of elevated temperature, low pH and species facilitation on the recruitment of Cystoseira compressa. We demonstrate that the interactive effects of OW and OA negatively affect the recruitment of C. compressa and its associated coralline algae Neogoniolithon brassica-florida. The density of recruits was lower under the combinations OW and OA, while the size was negatively affected by the temperature increase but positively affected by the low pH. The results from this study show that the interactive effects of climate change and the presence of crustose coralline algae can have a negative impact on the recruitment of Cystoseira s.l. species. While new restoration techniques recently opened the door to marine forest restoration, our results show that the interactions of multiple drivers and species interactions have to be considered to achieve long-term population sustainability.

In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2021) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2023-02-08.

Identifier
DOI https://doi.org/10.1594/PANGAEA.955425
Related Identifier https://doi.org/10.1038/s41598-022-22845-2
Related Identifier https://knb.ecoinformatics.org/view/urn:uuid:daa9cc97-47eb-48a3-addc-ed0047f0f3c4
Related Identifier https://cran.r-project.org/web/packages/seacarb/index.html
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.955425
Provenance
Creator Monserrat, Margalida ORCID logo; Comeau, Steeve; Verdura, Jana ORCID logo; Alliouane, Samir; Spennato, Guillaume; Priouzeau, Fabrice; Romero, Gilbers; Mangialajo, Luisa ORCID logo
Publisher PANGAEA
Contributor Yang, Yan
Publication Year 2022
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 116448 data points
Discipline Earth System Research
Spatial Coverage (7.054 LON, 43.516 LAT)
Temporal Coverage Begin 2021-08-18T00:00:00Z
Temporal Coverage End 2021-10-20T00:00:00Z