BUSCADOR RECOLECTA

The data shown in this table were compiled from the literature by conducting a Boolean search in Google Scholar using the word combinations “seagrass accretion rate” “mangrove accretion rate” and “salt marshes accretion rate”.From each study, the geographic area where the data were obtained, the sediment accretion and/or soil elevation rates, the method used and the source are reported in the table. For the method used, a broad explanation of the RSET (Rod Surface Elevation Table) and the MH (marker horizon) techniques is presented in Cahoon et al. (2006). This compilation is a contribution to the CSIRO Costal Carbon Cluster project. The methodology used is widely explained at: Cahoon, Donald R., Philippe F. Hensel, Tom Spencer, Denise J. Reed, Karen L. McKee, and Neil Saintilan. "Coastal wetland vulnerability to relative sea-level rise: wetland elevation trends and process controls." In Wetlands and natural resource management, pp. 271-292. Springer Berlin Heidelberg, 2006., These data include representative values of accretion and elevation rates in vegetated coastal habitats around the world. The values presented correspond to the accretion rates reported by different studies in different areas. In the cases where, in a same study, two different values were reported for the same system (e.g. upper vs. lower marsh)an average value is reported in this table. Attached goes a list of references. Under a license CreativeCommons Attribution-NonCommercial-ShareAlike 3.0 Unported., Peer reviewed

Methodology: We compiled available data published in peer-review articles and grey literature reports until year 2009 as well as our own unpublished data. We searched for data with the engine ISI web of Knowledge, using the keywords Posidonia oceanica AND (regression OR decline OR progression OR recovery OR status OR cartography OR limits OR cover OR density OR biomass OR dynamics), and conducting a back search of cited papers. More information about the methodology to be found at: Calleja, M.L., N. Marbà, C.M. Duarte (2007). The relationship between seagrass (Posidonia oceanica) decline and sulfide porewater concentration in carbonate sediments. Estuarine coastal and shelf science 73: 583-588; Waycott M, CM. Duarte, T.J. B. Carruthers, R.J. Orth, W.C. Dennison, S. Olyarnik, A. Calladine, J.W. Fourqurean, K.L. Heck, Jr, A.R.ll Hughes, G A. Kendrick, W. J Kenworthy, F T. Short, S L. Williams (2009). Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proceedings of the National Academy of Science USA 106: 12377–12381; Moreno, D., P. A. Aguilera, H. Castro (2001). Assessment of the conservation status of seagrass (Posidonia oceanica) meadows: implications for monitoring strategy and the decision-making process. Biological Conservation 102: 325-332., Content and values displayed: The data set includes general information of the study conducted: the year or period of years of the study, site, country, water depth; and of the seagrass meadow investigated: extent, depth of deep and shallow limit, cover, shoot density, meadow status -decline, expansion, steady-state-, rate of change, Index of Conservation, Moreno et al. 2001) and types of coastal pressures present. The data set includes qualitative and quantitative data, since it contains studies where changes in seagrass meadow extension, cover and /or density are identified from expert judgement as well as studies that quantified the magnitude and rates of the changes reported. The absolute and relative rates of change of seagrass extent, meadow depth limits, cover and shoot density are calculated as described in Marbà et al (submitted). The meadows are categorized as declining (final area < 90% of initial area, net % cover abosolute change < -10, or µ density < -5% yr-1), increasing (final area >110% of initial area, net cover change > 10 % yr-1, or µ density > 5% yr-1) or without detectable change (final area within <90 % of initial area, -10 % yr-1 < net cover change < 10 % yr-1, or -5 % yr-1 < µ density < 5 % yr-1) following Waycott et al (2009) for area and Calleja et al (2007) for density criteria., Access and reuse: This dataset is subject to a Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional License., This dataset compiles qualitative and quantitative information on the stability (i.e. decline, steady state, expansion) of the seagrass (Posidonia oceanica) in the Mediterranean Sea between years 1842 and 2009. Data on meadow extent, shallow and depth limits, cover and shoot density as well as rates of change for the study period are provided. A ReadMe file, the full list of references and explanation of dataset values are attached., SESAME Southern European Seas: Assessing and Modelling Ecosystem changes(EU, Project no: 036949, Integrated Project of the Thematic Priority: 6.3 Global Change and Ecosystems). Lenght: November 1, 2006-December 1, 2011., OPERAS (EU, Project no: 308393, Collaborative Project of Theme ENV.2012.6.2-1)., EstresX, Sinergia y antagonismo entre múltiples estreses en ecosistemas marinos Mediterráneos (Ministerio de Economía y Competividad, ref. CTM2012-32603). Lenght: January 1, 2013-December 31, 2015., Peer reviewed

In March 2012 we collected 3-replicated sediment cores (9 cm diameter and 12-15 cm long) per restored site along the planting chronosequence (i.e. years 1994, 1997, 2003, 2004, 2006). Similarly, we collected 3 sediment cores in two bare sites, previously colonized by seagrasses, and in a large seagrass patch that survived the disturbances in the second half of the 20th Century that we considered a mature and thus reference meadow. We measured sediment bulk density and organic matter content and carbon stocks along all sediment cores sliced at 1 cm interval. Organic carbon content (% Corg) was estimated from loss of ignition (% LOI) at 550ºC for 5 h using the empirically fitted equation for Oyster Harbour sediments,Log % Corg = -0.62 + (1.33 * Log % LOI) SEintercept = 0.01, SEslope =0.10, N = 55, R2 = 0.77, P<0.0001 We analyzed the ƌ3C of the organic carbon in the top 3 cm sediment layer (ƌ13Csediment) along the chronosequence to estimate the fraction of seagrass (X) and sestonic (1-X) deposition as ƌ13Csediment = [X . Log % Corg = -0.62 + (1.33 * Log % LOI) SEintercept = 0.01, SEslope =0.10, N = 55, R2 = 0.77, P<0.0001 We analyzed the ƌ3C of the organic carbon in the top 3 cm sediment layer (ƌ13Csediment) along the chronosequence to estimate the fraction of seagrass (X) and sestonic (1-X) deposition as ƌ13Csediment = [X . ƌ13Cseagrass] + [(1-X) . ƌ13Cseston] being ƌ13Cseagrass -9.65 ‰ and ƌ13Cseston -22 ‰ (Dauby 1989)., Access and reuse: This dataset is subject to a Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional License., This dataset contains the values of ƌ13C, concentration and density of organic carbon measured along sediment cores collected where seagrasses (Posidonia australis) where lost, in re-vegetated plots and the continuously vegetated meadow at Oyster Harbor., Financial acknowledgements: CSIRO-Carbon Cluster (Australia); Australian ARC Linkage projects (LP100200429, LP1301000155); Opera (EU FP7, Project No. 308393); MEDEICG (CTM2009-07013); EstresX (CTM2012-32603). Mobility grant of CSIC (PA1003258) to Núria Marbà; Gledden Visiting Fellowship of the Institute of Advanced Studies (UWA) to Núria Marbà; Gledden Visiting Fellowship of the Institute of Advanced Studies (UWA) to Pere Masqué; IM by a PhD fellowship by the Government of the Balearic Islands; PM by ICREA Academia Generalitat de Catalunya (2014 SGR – 1356); PhD grant by the Govern of the Balearic Islands; PhD grant by Obra Social “la Caixa”., Peer reviewed

Content and values displayed: The data is displayed in an excel file with spreadsheets representing each of the following spatial scales: -“Fjord-scale”: The data set includes information on measurements representing vertical profiles at sites distributed along a horizontal fjord gradient: Date, site (station), water depth, temperature, pH, Ωarag, oxygen concentration (O2) and fluorescence -“Small-scale/kelp-scale”: The data set includes information from 3 consecutive series of parallel deployments over 2-3 days in shallow subtidal kelp habitats (kelp) and neighboring habitats colonized by benthic microalgae and scattered filamentous algae (bare) in Kobbefjord. We provide information on date and time, deployment number (#1-3), and each of the following variables measured ca 50 cm above the seafloor in the two types of habitat (kelp and bare): temperature, pH, salinity, water depth, O2, PAR and Ωarag. In addition, we provide information on pH-variability within 1m3 of kelp forest measured by an array of 16 pH-sensors placed in 4 layers of the kelp forest: 10 cm above the seafloor, 20 cm above the seafloor, in the canopy and in the water column just above the canopy. -“Micro-scale”: The data set includes information on pH at a millimeter scale measured through the boundary layer of 6 different species of macrophytes (Ascophyllum nodosum, Fucus vesiculosus, Saccharina longicruris, Agarum clathratum, Ulva lactuca, Zostera marina) by microelectrode in a laboratory setup. For each point we provide the average and standard deviation (SD) of 3 replicate measurements of each species. -“Tidal pools”: The date set represents parallel diurnal measurements in a vegetated tidal pool and the adjacent vegetated shore in the inner part of Kobbefjord. For each site and sampling time we provide data on O2, salinity, temperature, pH, total alkalinity (AT), total inorganic carbon (CT), partial pressure of CO2 (pCO2)and Ωarag in the water., Access and reuse: The database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0. Contact person for enquiries: Dorte Krause-Jensen, dkj@bios.au.dk., This dataset represents spatiotemporal variability in coastal pH-variability measured in a nested scale in the sub-Arctic Kobbefjord (64⁰10’ N, 51⁰33’ W) which makes part of the extensive Godthåbsfjordsystem near Nuuk, SW Greenland. A sensor array logging pH, oxygen, photosynthetically active radiation (PAR), temperature and salinity was applied on spatial scales ranging from km-scale across the horizontal extension of the fjord, over 100 m-scale vertically in the fjord, 10-100 m scale between subtidal habitats with and without kelp forests and between vegetated tidal pools and adjacent vegetated shores, to cm-m scale within kelp forests and pH was also measured at mm-scale across boundary layers of macrophyte tissue. In addition, we assessed the temporal variability in pH on diurnal and seasonal scales. Based on pH-measurements combined with relationships between salinity, total alkalinity and dissolved inorganic carbon we also estimated variability of the carbonate saturation state for aragonite Ωarag. Fjord-scale data sets were collected during three field campaigns (19 Apr, 18 Jul, 3 Sep 2013), shallow subtidal habitats and microscale data sets represent an intensive campaign (27 August–6 September 2013) and intertidal data were collected ultimo Aug 2014. Methods are described in detail in Krause-Jensen et al. (2015) which also contains a thorough presentation, analysis and discussion of the results., The study was funded by the Danish Environmental Protection Agency 20 within the Danish Cooperation for Environment in the Arctic (DANCEA). L. Meire was funded by the Research foundation Flanders (FWO aspirant grant) and by Defrost under the Nordic Centers of Excellence (NCoE) program. O. Geertz-Hansen, Greenland Climate Research Centre,/ Greenland Institute of Natural Resources, Nuuk, is thanked for help with field work. The study is also a contribution to the Greenland Ecosystem Monitoring program (www.G-E-M.dk) 25 and the Arctic Science Partnership (ASP) asp-net.org., Sí

This dataset compiles narrative and quantitative evidences of impacts of warming on organisms living in the Mediterranean Sea published in the literature until year 2014 as well as sea surface temperature values. The search of evidences of impact was conducted using ISI Web of Knowledge and the keywords “ (Mediterranean) AND ((Bio* OR Eco*)) AND ((warming OR temperature)) AND ((Marine OR Ocean*)) NOT ((paleo*))”. Only evidences from articles directly attributing the changes observed in marine biota to warming are included in the dataset. The dataset comprises biological impacts observed after single warming events as well as during longer-term observations. The dataset provides information about the study conducted (i.e. year or period of years of the study, site name and geographical coordinates, spatial scale of the study, species name, taxonomic group, whether the species is sessile or mobile, native or introduced), the type, magnitude and activation energy (Brown et al. 2004) of biological responses. The values on sea surface temperature (SST) are derived from satellite images. SST is calculated as the mean august SST (SSTaugust) and as the 99th percentile of SST (SST99p) in the year and location the impact was recorded. The SST anomaly is calculated as the SST99p with respect to the averaged august temperature computed for the period 1960-1985. The calculations to estimate activation energy and detailed information about the sources of SST data are described in Marbà et al. (submitted). Access and reuse: The database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0. Contact person for enquiries: Núria Marbà (nmarba@imedea.uib-csic.es)., This dataset compiles narrative and quantitative evidences of impacts of warming on marine organisms in the Mediterranean Sea published until year 2014 and the sea surface temperature (SST) and SST anomaly, derived from satellite observations, at each specific location where an impact has been reported., No

The database compiles published and unpublished data on carbonate (CaCO3) and/or particulate inorganic carbon (PIC) along with particulate organic carbon (POC) stocks if available, in sediments of seagrass meadows and adjacent un-vegetated patches. We considered the total pool of CaCO3 reported without distinguishing between the different biogenic carbonate mineral forms (calcite, Mg-calcite and aragonite). Fourqurean et al. (2012) provided data for 201 sites, and a literature search using both the Web of Knowledge (using the search terms “seagrass*” AND “inorganic carbon*” AND [“calcific* OR sediment* OR CaCO3 OR dissolut* OR diagenesis”]) and Google Scholar (using the search terms “seagrass carbonate”) yielded data for an additional 82 sites. The database was amended with unpublished values for 154 additional sites sampled by the authors. The database compiles data on sediment carbonate concentration for a total of 437 sites, of which 34 corresponded to sand patches adjacent to seagrass meadows. The final database comprises estimates for 403 seagrass vegetated sites, including 219 estimates for sediment surface samples (ca. 1-30 cm depth) and 184 estimates for sediment cores of variable length (149 cores < 100 cm-long, and 35 cores ≥ 100 cm-long). When only one of the variables, CaCO3 or PIC was reported, the other was estimated assuming that PIC is 12% of the total molar mass of the CaCO3. In most cases, particulate inorganic and organic carbon (PIC and POC) were reported as a percentage of dry weight (%DW), where PIC and POC, in mg cm-3, was calculated as the product of the fraction of sediment dry weight composed by PIC or POC and the dry bulk density (DBD) of a given sediment section (n = 340 sites). When DBD was not reported (n = 113 sites), we used the average DBD (1.03 g cm-3) reported by Fourqurean et al. (2012) for seagrass sediments in the calculations. Enquiries about the dabaset may be sent to Inés Mazarrasa., Access and reuse conditions: This database and its components are subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., Mazarrasa, Inés; Marbà, Núria; Lovelock, Catherine E.; Serrano, Oscar; Lavery, Paul S.; Fourqurean, James W.; Kennedy, Hillary; Mateo, Miguel Ángel; Krause-Jensen, Dorte; Steven, Andy D. L.; Duarte, Carlos M., "Sediment inorganic carbon (PIC) deposits in seagrass meadows and adjacent sand-patches (v. 2)". 2018, DIGITAL.CSIC, http://dx, The database is a global compilation of published and unpublished data available on carbonate, particulate inorganic carbon (PIC) and particulate organic carbon (POC) stocks in sediments of seagrass meadows and adjacent un-vegetated sediments., Peer reviewed

Triplicate samples of Posidonia oceanica were randomly collected at 26 locations along the Balearic Islands (Mediterranean Sea) during the summers of 2005 and 2006. Roots were subjected to a surface-sterilization protocol prior to nucleic acid extraction. The nitrogenase was amplified by PCR using degenerate primers for nifH gene sequences. The PCR products were checked by electrophoresis on 1.5% agarose gels. The youngest leaf (free of epiphytes) of three shoots and three young rhizome fragments were dried at 60ºC for 48 h and ground to a fine powder. All isotopic analyses were measured using standard elemental analyzer isotope ratio mass spectrometer (EA-IRMS) procedures. Isotopic ratios (R) are reported in the standard delta notation (‰), deltasample=1000((Rsample/Rstandard)-1), where R = 15N/14N. These results are presented with respect to the International standard of atmospheric nitrogen (AIR, N2). Analytical reproducibility of the reported delta values, based on sample replicates, was better than ±0.2‰., This dataset compiles information regarding the detection of nitrogen-fixing bacteria by amplification of the nifH gene coding for nitrogenase enzyme in meadows of an endemic Mediterranean seagrass (Posidonia oceanica). This dataset includes the nitrogen isotopic signature (δ15N) measured on leaves and rhizomes., This study was funded by the projects MEDEICG and ESTRESX of the Spanish Marine Science and Technology Program (CTM2009-07013, CTM2012-32603) under the framework of Spanish Plan Nacional 2008-2012., Peer reviewed

The data is displayed in an excel file with spreadsheets representing each of the following data sets: Field kelp loggings Nuuk, Field kelp loggings Disko, Field ETR Disko, Lab time series pH CO2, Lab CO2 End time series, Lab time series consumption CO2, Lab ETR max and Lab time series no macroph. The txt document attached provides a full description of each of them., This dataset contains field- and laboratory data of metabolic activity, photosynthetic characteristics and associated effects on water chemistry of Greenland kelp forests. Field data include diurnal variation in pH, pCO2, O2-concentration, light, temperature, and salinity in shallow kelp forests habitats over 10-day periods in the subarctic Kobbefjord (64⁰N, 51⁰W) in late summer 2013 at a photoperiod of 15 h light and in the Arctic Disko Bay (69 °N, 53 °W) during midsummer 2014 at a photoperiod of 24 h light. Field data further include in-situ measurements of photosynthetic activity (relative electron transport rate, rETR) during a diurnal cycle in midsummer in Disko Bay. Laboratory data include time series of seawater pH, CO2 concentration and rates of change of CO2 concentration and photosynthetic activity of arctic vegetation measured during experimental manipulations of photoperiod and CO2 concentration in aquaria at 4 oC. There were three replicated aquaria per CO2 concentration treatment (200 ppm, 400 ppm and 1000 ppm). Each aquarium contained 6 L of artificial seawater and 2.7 – 3.7 gDW of macrophytes (Ascophyllum nodosum, Fucus vesiculosus, Saccharina longicruris, Zostera marina) collected at Nuuk. Methods are described in detail in Krause-Jensen et al. (2016)., The study was funded by the Danish Environmental Protection Agency within the Danish Cooperation for Environment in the Arctic (DANCEA). It is also a contribution to the Greenland Ecosystem Monitoring program (www.G-E-M.dk) and to the Arctic Science Partnership (www.asp-net.org). M.S-M. was supported by a Fundación “La Caixa” fellowship (ES)., Peer reviewed

The data compiled in the MME-T-MEDNet dataset was gathered from published scientific papers, grey literature and technical reports using different searching strategies in ISI Web of Knowledge and Google Scholar using different sets of keywords (including those used in Rivetti et al. 2014 and Marba et al. 2015) as well as through contacts with researchers across the Mediterranean. The dataset comprises mass mortality events impacts observed at discrete events generally related to warming episodes across the Mediterranean. The dataset provides information about the year, season, geographic coordinates, protection status of the geographic location, species phylum, species name, the degree of mortality impact, depth range of the mortality and reported biotic and abiotic mortality drivers of the event., The MME-T-MEDNet database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., Contact person for enquiries: bio-admin@t-mednet.org, Annual update.., The Mass Mortality Events (MME-T-MEDNet) dataset compiles information reported on mass mortality events of species in the Mediterranean Sea affecting different organism dwelling in coastal ecosystems., We acknowledge the financial support by the Prince Albert II de Monaco Foundation (MIMOSA project nº 1983) and the project MPA-ADAPT funded by Interreg MED program (European Regional Development Fund), Sólo un dataset., Peer reviewed

The database compiles published and unpublished data on carbonate (CaCO3) and/or particulate inorganic carbon (PIC) along with particulate organic carbon (POC) stocks if available, in sediments of seagrass meadows and adjacent un-vegetated patches. We considered the total pool of CaCO3 reported without distinguishing between the different biogenic carbonate mineral forms (calcite, Mg-calcite and aragonite). Fourqurean et al. (2012) provided data for 201 sites, and a literature search using both the Web of Knowledge (using the search terms “seagrass*” AND “inorganic carbon*” AND [“calcific* OR sediment* OR CaCO3 OR dissolut* OR diagenesis”]) and Google Scholar (using the search terms “seagrass carbonate”) yielded data for an additional 82 sites. The database was amended with unpublished values for 154 additional sites sampled by the authors. The database compiles data on sediment carbonate concentration for a total of 437 sites, of which 34 corresponded to sand patches adjacent to seagrass meadows. The final database comprises estimates for 403 seagrass vegetated sites, including 219 estimates for sediment surface samples (ca. 1-30 cm depth) and 184 estimates for sediment cores of variable length (149 cores < 100 cm-long, and 35 cores ≥ 100 cm-long). When only one of the variables, CaCO3 or PIC was reported, the other was estimated assuming that PIC is 12% of the total molar mass of the CaCO3. In most cases, particulate inorganic and organic carbon (PIC and POC) were reported as a percentage of dry weight (%DW), where PIC and POC, in mg cm-3, was calculated as the product of the fraction of sediment dry weight composed by PIC or POC and the dry bulk density (DBD) of a given sediment section (n = 340 sites). When DBD was not reported (n = 113 sites), we used the average DBD (1.03 g cm-3) reported by Fourqurean et al. (2012) for seagrass sediments in the calculations. Enquiries about the dabaset may be sent to Inés Mazarrasa., [Access and reuse conditions] This database and its components are subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0., [Reason for updating the database] This database is a corrected version of the database by Mazarrasa et al., (2015) (DIGITAL.CSIC, http://hdl.handle.net/10261/116550). In the previous version of the database, CaCO3 and PIC values for 3 sediment cores from Oyster Harbour, Western Australia (cores # 275-277) and from 13 cores from Greenland and Denmark (cores # 391-403) were wrong. In this new version of the database these errors have been corrected. In addition, we have added data of 35 sediment slices of the cores from Greenland (cores # 391-397) that were missing in the previous version of the database. These changes do not significantly affect the results presented in the paper published in Biogeoscience (Mazarrasa et al., 2015) that was produced using the previous version of the database., The database is a global compilation of published and unpublished data available on carbonate (CaCO3), particulate inorganic carbon (PIC) and particulate organic carbon (POC) stocks in sediments of seagrass meadows and adjacent un-vegetated sediments., No