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M. Vacchi et al. / Earth-Science Reviews 155 (2016) 172–197       173
           4.  Predictions of RSL................................ ............................                 181
           5.  Results .................................... ............................                       181
               5.1.  Central Spain (#1) ............................ ............................              182
               5.2.  Northern Spain (#2) ........................... ............................              183
               5.3.  Central France (#3) ........................... ............................              183
               5.4.  Western Ligurian Sea (#4) ........................ ............................           184
               5.5.  Eastern Ligurian Sea (#5) ......................... ............................          184
               5.6.  Northern Corsica and Pianosa (#6) .................... ............................       185
               5.7.  Southern Corsica and northern Sardinia (#7) ................ ............................  185
               5.8.  Southwestern Sardinia (#8)........................ ............................           185
               5.9.  North-central Latium (#9) ........................ ............................           186
               5.10.  Gulf of Gaeta (#10) ........................... ............................             186
               5.11.  Salerno Bay (#11)............................ ............................               187
               5.12.  Northwestern Sicily (#12) ........................ ............................          187
               5.13.  Mid-eastern Sicily (#13)......................... ............................           187
               5.14.  Southern Sicily and Malta (#14) ..................... ............................       187
               5.15.  Southern Tunisia (#15) ......................... ............................            188
               5.16.  Venice and Friuli lagoons (#16) ..................... ............................       188
               5.17.  Northeastern Adriatic Sea (#17) ..................... ............................       188
               5.18.  Northwestern Adriatic Sea (#18) ..................... ............................       189
               5.19.  Mid-eastern Adriatic Sea (#19)...................... ............................        189
               5.20.  Mid-western Adriatic Sea (#20) ..................... ............................        189
               5.21.  Northern Apulia (#21) ......................... ............................             190
               5.22.  Southern Apulia (#22) ......................... ............................             190
           6.  Discussion ................................... ............................                     190
               6.1.  Standardization of the database and its applicability ............. ............................  190
               6.2.  Predicted vs observed RSL changes in the western Mediterranean....... ............................  191
               6.3.  RSL variability along the western Mediterranean basin............ ............................  192
           7.  Conclusions .................................. ............................                     193
           Acknowledgments .................................. ............................                     194
           References ..................................... ............................                       194





          1. Introduction                                      (e.g., Lambeck and Bard, 2000; Vött, 2007; Lambeck et al., 2004a;
                                                               Antonioli et al., 2009; Vacchi et al., 2014). These studies used a variety
            Relative sea-level (RSL) changes since the Last Glacial Maximum  of observational sea-level data from different geomorphic settings and
          (LGM, ~30 to ~20 ka BP) primarily document the transfer of ice mass  archeological sites to produce RSL data-points. However, a standardized
          from the continents to the oceans during deglaciation (e.g. Peltier and  methodology for the production of sea-level index and limiting points
          Fairbanks, 2006; Deschamps et al., 2012). Approximately 50 million km 3  (cf. Gehrels and Long (2007); Hijma et al. (2015)) is presently lacking
          of ice have melted from land-based ice sheets, raising RSL in regions dis-  for the Mediterranean region.
          tant from the major glaciation centers (far-field sites) by ~135 m (e.g.  In this paper, we reconsidered and reanalyzed the published sea-level
          Bard et al., 1996, 2010; Lambeck and Purcell, 2005; Lambeck et al.,  data for the western Mediterranean seaboard following the protocol de-
          2014). During the Holocene (the last ~12 ka BP), empirical studies and  scribed by the International Geoscience Programme (IGCP) projects 61,
          Glacial Isostatic Adjustment (GIA) models show that the rate of ice-  200, 495 and 588 (e.g., Preuss, 1979; van de Plassche, 1982; Gehrels
          mass transfer decreased significantly at ~7 ka BP, when the Earth  and Long, 2007; Shennan et al., 2015).
          entered into a period of near RSL stability, after which time the ocean  Here we present: i) a standardized methodology to produce sea-
          volume changed by just a few meters (e.g. Mitrovica and Milne, 2002;  level index and limiting points from published data deriving from the
          Lambeck et al., 2014).                               Mediterranean and ii) a comprehensive database of index and limiting
            On a regional scale, the interplay of glacio- and hydro-isostatic pro-  points from 14 ka BP to present, for 22 areas in the western Mediterra-
          cesses plays a significant role in defining the Holocene RSL changes.  nean (Fig. 1).
          However, other factors have influenced RSL histories as well. Vertical  After summarizing the previous studies and reporting the unre-
          tectonic displacements often appear to be continuous and gradual  solved issues regarding relative sea level in the western Mediterra-
          over time, but frequently consist of large movements, for instance dur-  nean (Section 2), we outline the reasons for grouping sea-level
          ing earthquakes of great magnitude (e.g. Pirazzoli et al., 1994; Nelson  data into 22 regions (Section 2.2). We then explain our methodology
          et al., 1996; Dura et al., 2014) or volcanic activity (e.g., Morhange  to produce sea-level index and limiting points (Section 3) and how
          et al., 2006). Local factors include modifications of the tidal regime  we predicted the RSL models using the open source numerical code
          (e.g., Hall et al., 2013) and sediment consolidation due to the accumula-  SELEN (Section 4). In Section 5,wereconstructtheRSL historiesof
          tion of overlying material and land reclamation (e.g., Törnqvist et al.,  the 22 regions using quality controlled sea-level index and limiting
          2008; Marriner et al., 2012a).                       points. We then discuss the applicability of our multiproxy approach
            Databases of RSL have been developed to better understand these  in the Mediterranean (Section 6.1), we compare and contrast the re-
          forcing mechanisms of sea-level change, to identify regional variations  constructed RSL histories with the predicted RSL models
          and to constrain geophysical models of glacial isostasy (e.g., Engelhart  (Section 6.2)and, finally, we assess the spatial variability of late Ho-
          and Horton, 2012; Shennan et al., 2012; Khan et al., 2015).  locene RSL changes in the western Mediterranean providing new in-
            For the Mediterranean, regional compilations of sea-level data have  sights about the influence of the isostatic contribution on the current
          been produced for both the eastern and the western Mediterranean  sea-level rising rates (6.3).
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