BUSCADOR RECOLECTA

Data on biogeochemical characteristics (210Pb geochronologies, density, organic matter, organic carbon concentration, stable carbon isotopes, carbon stocks and carbon burial rates) and on the detection of Halophila stipulacea with eDNA in seagrass sediments cores from H. stipulacea, Cymodocea nodosa and Posidonia oceanica meadows collected in the Eastern Mediterranean (Greece and Cyprus)., This work was funded by the Spanish Ministry of Economy and Competiveness (Project MEDSHIFT, CGL2015-71809-P), the Spanish Ministry of Science, Innovation and Universities (SUMAECO, RTI2018-095441-B-C21) and King Abdullah University for Science and Technology (3834 KAUST-CSIC Research Collaboration and base line funding to CMD)., Peer reviewed

MALASPINA_LEG5 Cruise (29HE20110416) carried out on the Research Vessel Hespérides in 2011, A circumnavigation oceanographic expedition to generate a high resolution inventory of global change impact on the ecosystem of the ocean, researching its biodiversity in the deep. 1) PHYSICAL OCEANOGRAPHY: The main objective of the Physical Oceanography block is to contribute to understanding the oceanic variability by determining the trends of the different properties of the main bodies of water in the oceans, such as temperature, salinity and oxygen concentration, thus will allow us to determine the variation of atmospheric conditions. 2) BIOCHEMISTRY: The MALASPINA 2010 expedition will study on an unprecedented scale the biogeochemical processes in the ocean on a global scale. It will be investigated where the elements that contribute to life near the surface come from, and what is the fate of the organic matter generated by photosynthesis . The breath of the sea will be measured: the exhalation of gases that conditions our atmosphere and climate. 3) ATMOSPHERIC DEPOSITION: The objectives of block : "organic pollutants and atmospheric deposition" focus on the measurements of the levels of several families of organic pollutants in the global ocean and atmosphere and the quantification of air-ocean flows and their impact on food chains planktonics (phytoplankton and zooplankton). In addition, a characterization and quantification of the flows of organic carbon, aerosols, nutrients and organic biogenic compounds, and the role they play in the ocean biogeochemical cycles will also be carried out. 4) OCEAN OPTICS: In the Malaspina expedition we are going to study the optics of the ocean that involves measuring mainly the color of water and its transparency to solar radiation. 5) BIODIVERSITY AND MICROBIAL PROCESSES: Our main objective is to investigate, to know, what microorganisms are found and how they are acting in the different oceans of the planet, placing special emphasis on the vast and practically unknown deep ocean. 6) ZOOPLANKTON: The objective of this thematic block is to assess the diversity and efficiency of the energy transfer of the ocean zooplankton community on a global scale. 7) PHYTOPLANKTON AND BIOLOGICAL PRODUCTION: Quantify how solar radiation is transmitted through the water column. The behavior of the photosynthetically active light band, which includes visible light of wavelengths between 400 and 700, and of bands of light in the ultraviolet zone will be studied separately. Quantify the magnitude of the organic matter (in particulate and dissolved form) synthesized by the photosynthetic phytoplankton (the so-called primary production or PP), Quantify the carbon consumed by the respiration of the pelagic community, from the surface to the deepest levels of the water column) and compare it with the PP of the different areas visited, - Study the structure of sizes and the distribution by groups of the phytoplankton communities, Evaluate how phytoplankton growth rates vary in response to changes in PAR intensity, ultraviolet radiation and temperature, Estimate the losses due to cell death 8) POPULAR SCIENCE: The Malaspina project has among its objectives to inform society about the impact of global change on the ocean and new opportunities to explore marine biodiversity, increase social awareness of the original Malaspina expedition and encourage scientific vocations among young people 9) STUDENT TRAINING: The Malaspina 2010 project aims to promote scientific vocations among our young people by providing a highly visible activity that will combine aspects of frontier research with an adventure component and attractive teamwork as a training framework. Six universities (U. de Barcelona, ​​U. de Granada, U. de Oviedo, U. de Cádiz, U. Las Palmas de Gran Canaria and U. Internacional Menéndez Pelayo and the CSIC) have come together to offer a common module in their postgraduate programs that will offer students the opportunity to participate in the Malaspina Expedition to develop their postgraduate project

[Description of methods used for collection/generation of data] Collection of data from extraction of articles retrieved from the literature (Web of Knowledge and SCOPUS, accessed July 2015 and updated May 2021). Papers reporting estimates of the effect of coastal plants on current and wave attenuation in vegetated coastal habitats identified using search terms: “Seagrass*” [All Fields] OR “Mangrove*” [All Fields] OR “Salt marsh*” [All Fields] OR “Macrophyte*” [All Fields] AND “engine*” [All Fields] OR “wave attenuation” [All Fields] OR “flow modification” [All Fields]. The in total 963 papers retrieved were analyzed for quantitative estimates, supplemented with papers and documents containing data meeting the requirements of the analyses contained within the references of the papers retrieved, resulting in a data set containing a total of 1372 estimates derived from 95 individual articles with a temporal cover from 1982 to 2020., [Methods for processing the data] Results from field and laboratory studies were used, but not numerical models. When information was given for multiple observations with different vegetation parameters and/or hydrodynamic parameters, we included several data points per study, but only included 1 measurement (max. distance) when the same structural parameters had repeated measurements for different distances within the vegetation. Where authors reported values for current reduction these were used directly, always making sure a non-vegetated (bare) reference value was used to calculate reduction in the vegetation. When data was (re)calculated from separate reported values the formulas used for current reduction, dU, were calculated as: dU/U0 = (U0-Uv)/U0 With U as the current speed over a reference unvegetated region U0 and through a vegetated region Uv in m s-1 respectively. Where the information was provided in the selected studies, we calculated the wave energy reduction, dE, defined as (Knutson et al. 1982): dE/E0 = ((E0-Ev))/E0 Where E is the energy without vegetation (E0) and within the vegetation (Ev) respectively. The wave height reduction per meter r (Mazda et al 1997) was calculated as: r = dH/(H0x) = ((H0-Hv))/(H0x) Where x is the length of the vegetation field. When multiple measurements were done with the same vegetation settings (i.e. density, water height) at different distances into the vegetation, we took the maximum distance evaluated. The effect of vegetation on current and wave attenuation was represented by the decay coefficients, KiH, (Kobayashi et al., 1993) and KiU (m-1), representing the relative decrease in significant wave height (KiH), and current velocity (KiU) with distance into the vegetated fringe (x, bed length) calculated as, kiH=1/x ln(1-dH/H0 )=1/x ln(Kt ) and kiU=1/x ln(1-dU/U0 ) Where Kt is the wave transmission coefficient. We used the same literature sources that were used for the data were collection, to compile relevant vegetation structural parameters, specifically, shoot or stem density and emergence ratio (defined as hveg/h). For stiffness we used Young’s bending modulus (E, in N mm-2), when this parameter was not available from the same source, we completed the data with species specific values from literature (e.g. Zhu et al. 2020 for salt marshes, de los Santos et al. 2016; La Nafie et al. 2012; Soissons et al. 2017 for seagrasses and van Hespen et al. 2021 for mangroves). When no value was known, the value for the family was used or an average for the group (i.e., saltmarsh, seagrass, etc.) obtained from the compiled values., [Relationship between files] Readme provides background information for xlsx datafile., [People involved with sample collection, processing, analysis and/or submission] https://casrai.org/credit . Idea and concept C.M.D and I.J.L, design and discussion of content during workshops I.E.H., N.M., B.v.W., T.J.B., I.J.L, C.M.D. Database compilation I.E.H, M.M., A.G.M and N.M. Analysis of data I.E.H.. All authors contributed to the writing and editing of the manuscript., Funding for this data collection supplied by the MedShift project, CGL2015-71809-P (MINECO/FEDER) and baseline funding from King Abdullah University of Science and Technology to C.M.D. I.E.H. was supported by grant RYC-2014-15147, co-funded by the Conselleria d'Innovació, Recerca i Turisme of the Balearic Government (Pla de ciència, tecnologia, innovació i emprenedoria 2013-2017) and the Spanish Ministry of Economy, Industry and Competitiveness., Data_coastal_vegetation_adaptation.xlsx, readme.txt, Peer reviewed

The dataset compiles seagrass upper thermal limits (Tlimit) for survival, growth or biomass loss published in the literature and obtained by conducting a search on Web of Knowledge using the keywords combinations seagrass AND (temperature OR warming) and seagrass AND ("thermal limit" OR "thermal threshold" OR "critical temperature" OR "thermal niche”). The reference lists of the papers obtained with these searches were screened for additional relevant data. The dataset only includes data of seagrass populations growing submersed within their native geographical range. Tlimit are derived from empirical observations of seagrass die-off events attributed to heat waves, in combination with other simultaneous stressors (hypersalinity, Carlson et al 2018; low light availability, Moore and Jarvis 2008, Moore et al., 2014), or mesocosm experiments. Seagrasses in mesocosm experiments were exposed to at least 2 temperature treatments above average in situ summer temperature that extended the experimental thermal range beyond the Tlimit. Seagrasses were exposed to experimental temperatures for 6 to 120 days depending on the study. The Tlimit was defined as: a) the upper temperature at which shoot survival, shoot growth or biomass above optimal temperature started to decline in experimental studies; or b) the seawater temperature during the heat wave that triggered die-off events. For each study, the compiled dataset includes the species name, location and coordinates of the population studied, the Tlimit, the approach (i.e. experimental or empirical), the year the study was conducted and the data source. For experimental studies, the dataset also includes the temperature treatments seagrasses were exposed to. For each population studied, we obtained mean annual seawater temperature values for the 5 years before the thermal tolerance experiment or observation was conducted from the ORAS4 ocean reanalysis (Balmaseda, Mogensen, Weaver, 2013), which provides monthly 3D temperature global fields from 1958 to present with a spatial resolution of 1 degree in the horizontal and ~10 m in the vertical. Those temperatures aim at representing the regional characteristics, rather than the local features which cannot be captured by the coarse spatial resolution, [Relationship between files] The file "variables_Marbà_et_al_ 2022.xlsx" defines the variables used in the dataset. The full references of the sources of data compiled in the dataset are provided in the file "References_Dataset_Marba_et_al_2022.docs"., [Environmental/experimental conditions] The dataset includes target experimental temperatures and average annual seawater temperature natural populations were exposed to, calculated for the 5 years before conducting the experiment or the occurrence of seagrass mass-mortality event., Dataset of seagrass upper thermal limits for survival, growth or biomass loss derived from empirical observations of seagrass die-off events attributed to heat waves or mesocosm experiments., This work was funded by the Spanish Ministry of Economy, Industry and Competivness with the projects MedShift (CGL2015-71809-P), SumaEco (RTI2018-095441-B-C21) and Clifish (CTM2015-66400-C3-2-R), the European Union’s Horizon 2020 SOCLIMPACT project (grant agreement No 776661) and the King Abdullah University of Science and Technology (KAUST subaward number 3834). S.B. was supported by a Juan de la Cierva Formación contract funded by the Spanish Ministry of Economy, Industry and Competitiveness., File List: - variables_Marbà_et_al_ 2022.xlsx - dataset_Marbà_et_al_2022_(seagrass thermal limits).xlsx - References_Dataset_Marba_et_al_2022.docs, Peer reviewed