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DIGITAL.CSIC
Dataset . 2018 . Peer-reviewed
Data sources: DIGITAL.CSIC
DIGITAL.CSIC
Dataset . 2018
License: CC BY
Data sources: Datacite
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Thermal performance of Mediterranean marine macrophytes

Authors: Savva, Ioannis; Bennett, Scott; Roca, Guillem; Jordá, Gabriel; Marbà, Núria;

Thermal performance of Mediterranean marine macrophytes

Abstract

The dataset contains data on relative growth rate per day , survival %, and maximum quantum yield of six marine macrophyte species (Cymodocea nodosa, Posidonia oceanica, Cystoseira compressa, Caulerpa prolifera, Padina pavonica and Halimeda tuna), whereby were cultivated in 10 seawater temperature treatments. The species were collected from three enclosed bays in southwest Mallorca: Illetes sampling site 1 (39°31'59.7"N, 2°35'19.7"E), Illetes sampling site 2 (39°32'02.1"N 2°35'22.9"E), Son Caliu (39°31'34.3"N 2°32'53.0"E) and Portals Nous (39°31'50.2"N 2°34'19.8"E). Once the macrophytes were collected and transported to lab conditions, they experienced a short acclimation period at the same temperature as in situ. The macrophytes were then allocated randomly to the experimental baths after which the temperature of each bath was subsequently increased or decreased by 3 °C every 24 hours until the desired experimental temperature was achieved. The experiment begun when all baths acquired their temperature. The relative growth rate was determined after measuring the wet weight (g WW) of each macrophyte fragment at the beginning and end of the experiment. The wet weights were converted to dry weights (g DW) using a conversion factor from the experimental fragments after being oven dried at 60 °C for 24h at the end of the experiment. The relative growth rate was then calculated following Hunt (1990). Survival was assessed at the end of the experiment as the percentage of treatment replicated specimens presenting photosynthetic tissue necrosis for seaweed species (e.g. transparency in C. prolifera and whitening in H. tuna) and C. nodosa or meristem mortality for P. oceanica. The maximum quantum yield was acquired at the end of the experiment from all fragments across all temperature treatments using a pulse amplitude modulated (PAM) fluorometer, after young parts of seagrass leaves and macroalgal laminae/thalli underwent 15 minutes of dark-acclimation (sufficient to allow plant relaxation and opening of all PSII). Both relative growth rate and maximum quantum yield response curves were characterised by fitting the Temperature Cardinal Model with Inflexion (CTMI) described by (Ras et al., 2013), through which provided the model predicts, upper and lower confidence intervals for each of the parameters. The survival % was also fitted with a logistic growth equation, which provided the model predicts and the lethal temperature at 50 % survival (LT50).

Título Impactos del calentamiento global sobre los ecosistemas costeros dominados por macrofitos en el mar Mediterráneo; evaluación de su capacidad de adaptación (MedShift), Ministerio de Economía, Industria y Competitividad, referencia CGL2015-71809-P. Título: Rethinking climate change vulnerability: Drivers patterns of thermal tolerance adaptation in the ocean (DPaTh-To-Adapt), Entidad financiadora: European Commission (Marie Skłodowska-Curie Individual Fellowships (IF-EF), contract number 659246.

The dataset provides data on relative growth rate per day (RGR d-1), survival %, and maximum quantum yield (MQY) of six marine macrophyte species (Cymodocea nodosa, Posidonia oceanica, Cystoseira compressa, Caulerpa prolifera, Padina pavonica and Halimeda tuna) collected from southwest Mallorca and cultivated in 10 different seawater temperature treatments.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Experiment, Relative growth rate, Macroalgae, Maximum quantum yield, Survival %, Seagrass, Temperature treatments

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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