Response of early life-stages of forest-forming seaweeds from warm-edge and central populations to marine heatwaves
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Marine heatwaves (MHWs) are among the most important threats to forest-forming seaweeds and the ecological functions and services they underpin. Responses of seaweeds to MHWs are likely to vary across life-stages, along their distribution, and among populations with differing genetic structure. The effects of MHWs on early life-stages and genetically distinct populations have rarely been tested experimentally. We used germlings and juveniles of the forest-forming fucoid Phyllospora comosa from four genetically distinct populations, two at the warm-edge (31°S) and two at the centre of its latitudinal distribution (34°S) in eastern Australia, to examine their responses (i.e., survival, growth, photosynthetic efficiency, condition) to MHWs. Two MHW scenarios were tested: strong (23-23.5°C) and extreme (26°C), which would occur ~100 days and ~50 days per year, respectively, by 2100 under the RCP4.5 scenario (SSP2-4.5). Survival under the extreme MHW was generally low for all populations and..., , # Data from: Response of early life-stages of forest-forming seaweeds from warm-edge and central populations to marine heatwaves
Dataset DOI: [10.5061/dryad.7pvmcvf62](10.5061/dryad.7pvmcvf62)
## Description of the data and file structure
Datasets belong to mesocosm experiments exposing germlings and juveniles of *Phyllospora comosa *from four populations (two warm-edge and two central) to strong and extreme marine heatwaves (MHWs). All data were obtained during experiments conducted between 2022 AND 2023.
## Summary of datasets
* Acetone.csv: Pigment concentration of *Phyllospora* juveniles after being exposed to MHW scenarios.
* DMSO.csv: Pigment concentration of *Phyllospora* juveniles after being exposed to MHW scenarios.
* CN_results.csv: Carbon and Nitrogen content from *Phyllospora* juveniles after being exposed to MHW scenarios. This data were extracted by Flinders analytical (see details in materials and methods).
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