<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//TaxonX//DTD Taxonomic Treatment Publishing DTD v0 20100105//EN" "https://ved.arphahub.com/nlm/tax-treatment-NS0.dtd">
<article xmlns:tp="http://www.plazi.org/taxpub" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">136</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Vegetation Ecology and Diversity</journal-title>
        <abbrev-journal-title xml:lang="en">VED</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">3033-1447</issn>
      <publisher>
        <publisher-name>Italian Society of Vegetation Science (SISV)</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/ved.190831</article-id>
      <article-id pub-id-type="publisher-id">190831</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Data Paper</subject>
        </subj-group>
        <subj-group subj-group-type="biological_taxon">
          <subject>Angiospermae</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Biostatistic analysis and Data Banks</subject>
          <subject>Habitats Directive</subject>
          <subject>Phanerogamic and Cryptogamic Vegetation survey and classification</subject>
          <subject>Plant Community Conservation and Management</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>AdriaVeg: an integrated vegetation database for ecological monitoring and conservation along the central Adriatic coast (Italy)</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>de Francesco</surname>
            <given-names>Maria Carla</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-5238-1154</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing - review and editing</role>
          <role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
          <role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
          <role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
          <role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Carranza</surname>
            <given-names>Maria Laura</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0001-5753-890X</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing - review and editing</role>
          <role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Rasino</surname>
            <given-names>Micaela Del Valle</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-6266-0392</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing - review and editing</role>
          <role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Varricchione</surname>
            <given-names>Marco</given-names>
          </name>
          <email xlink:type="simple">marco.varricchione@unimol.it</email>
          <uri content-type="orcid">https://orcid.org/0000-0003-4716-6609</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing - review and editing</role>
          <role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
          <role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
          <role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
          <role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Stanisci</surname>
            <given-names>Angela</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-5302-0932</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing - review and editing</role>
          <role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
          <role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
          <role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">EnviXLab, Department of Biosciences and Territory, University of Molise, Pesche, Isernia, Italy</addr-line>
        <institution>EnviXLab, Department of Biosciences and Territory, University of Molise</institution>
        <addr-line content-type="city">Pesche</addr-line>
        <country>Italy</country>
        <uri content-type="ror">https://ror.org/04z08z627</uri>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Marco Varricchione (<email xlink:type="simple">marco.varricchione@unimol.it</email>)</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: Victor Adrian Indreica</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>06</month>
        <year>2026</year>
      </pub-date>
      <volume>63</volume>
      <elocation-id>e190831</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/9A7EE382-F55C-528F-9F2C-1ADDE755C8C8">9A7EE382-F55C-528F-9F2C-1ADDE755C8C8</uri>
      <history>
        <date date-type="received">
          <day>06</day>
          <month>03</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>05</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Maria Carla de Francesco, Maria Laura Carranza, Micaela Del Valle Rasino, Marco Varricchione, Angela Stanisci</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p>Long-term vegetation plot datasets, including historical data and repeated surveys, are essential tools for detecting and understanding spatial and temporal changes in community diversity, structure, and functioning. Here, we present the central ADRIAtic coastal VEGetation database (<abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev>), a georeferenced database comprising 1,000 vegetation plots, both published and unpublished, including re-surveyed and single-survey records, collected between 1985 and 2025 along the sandy coasts of Abruzzo, Molise, and northern Apulia (Italy). The database encompasses the main coastal dune habitats, with shifting dunes representing 42.3% of plots, followed by fixed dunes (29.2%), transitional dunes (20.9%), and salt marshes (7.6%). In total, <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> includes 301 vascular plant taxa (species and subspecies), of which 286 are native or archaeophytes and 15 are neophytes (86.7% invasive and 13.3% naturalized). In <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev>, each taxon is linked with 21 standardized attributes, including taxonomic classification, vernacular names (Italian and English), alien status and residence time in Italy, chorology for native species and area of origin for alien species, growth habit, life form, growth form, lifespan, European ecological indicator values, and disturbance indicator values. The dataset structure enhances data interoperability and can support comparative ecological research. <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> provides an open and scalable framework for monitoring coastal dune habitats across protected, unprotected, and restored areas. It offers sound support for the analysis of long-term vegetation dynamics, restoration effectiveness, and changes in species composition and community structure under anthropogenic and climatic pressures.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Coastal dune habitats</kwd>
        <kwd>EUNIS habitats</kwd>
        <kwd>georeferenced vegetation plots</kwd>
        <kwd>Natura 2000 habitats</kwd>
        <kwd>open ecological data</kwd>
        <kwd>plant traits</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="Introduction" id="sec1">
      <title>Introduction</title>
      <p>Coastal ecosystems are biodiversity hotspots, hosting a highly specialized flora and fauna (<xref ref-type="bibr" rid="B66">van der Maarel 2003</xref>; <xref ref-type="bibr" rid="B68">Walker et al. 2003</xref>; <xref ref-type="bibr" rid="B1">Acosta et al. 2009</xref>; <xref ref-type="bibr" rid="B59">Sperandii et al. 2021</xref>; <xref ref-type="bibr" rid="B13">de Francesco et al. 2025</xref>; <xref ref-type="bibr" rid="B56">Rasino et al. 2026</xref>). In addition, they provide a wide range of ecosystem services (<xref ref-type="bibr" rid="B21">Drius et al. 2019</xref>), such as water purification and coastal defense (<xref ref-type="bibr" rid="B22">Drius et al. 2013</xref>; <xref ref-type="bibr" rid="B57">Rhymes et al. 2015</xref>), protection from wind and salt spray (<xref ref-type="bibr" rid="B38">Liquete et al. 2013</xref>), climate regulation at both local and global scales (<xref ref-type="bibr" rid="B20">Drius et al. 2016</xref>), and recreation and tourism opportunities (<xref ref-type="bibr" rid="B43">Palombo et al. 2013</xref>; <xref ref-type="bibr" rid="B41">Mastronardi et al. 2015</xref>). However, coastal dunes are recognized as one of the most threatened ecosystems worldwide (<xref ref-type="bibr" rid="B16">Defeo et al. 2009</xref>), with the Mediterranean region being particularly vulnerable (<xref ref-type="bibr" rid="B39">Malavasi et al. 2018</xref>). The main pressures are related to human activities, including urban expansion (<xref ref-type="bibr" rid="B9">Carranza et al. 2020</xref>), agricultural practices (<xref ref-type="bibr" rid="B52">Pontieri et al. 2025</xref>), habitat degradation, and pollution (<xref ref-type="bibr" rid="B58">Seitz et al. 2014</xref>; <xref ref-type="bibr" rid="B12">de Francesco et al. 2019</xref>; <xref ref-type="bibr" rid="B19">Di Febbraro et al. 2021</xref>; <xref ref-type="bibr" rid="B40">Marzialetti et al. 2021</xref>; <xref ref-type="bibr" rid="B59">Sperandii et al. 2021</xref>; <xref ref-type="bibr" rid="B27">Gennai et al. 2022</xref>). Furthermore, ongoing climate change is exacerbating these threats through both direct and indirect impacts, such as coastal erosion, sea-level rise, and the expansion of alien and ruderal species (<xref ref-type="bibr" rid="B34">Jones et al. 2013</xref>; <xref ref-type="bibr" rid="B55">Prisco et al. 2013</xref>; <xref ref-type="bibr" rid="B64">Tozzi et al. 2021</xref>; <xref ref-type="bibr" rid="B14">de Francesco et al. 2023</xref>).</p>
      <p>Understanding vegetation dynamics and spatiotemporal patterns of biodiversity and ecosystem functioning is fundamental for assessing ecosystem resilience under accelerating environmental change (<xref ref-type="bibr" rid="B30">Heberling et al. 2021</xref>). Georeferenced, standardized, and well-documented vegetation datasets, enhanced with consistent taxonomic resolution and detailed plant trait information, can contribute to a reliable evaluation of these processes. Such data infrastructures enable not only ecological interpretation but also reproducibility, comparability, and cross-scale integration (<xref ref-type="bibr" rid="B24">Feng et al. 2022</xref>).</p>
      <p>In this context, vegetation plot databases represent core infrastructures for ecological research, as they allow the quantification of plant diversity patterns and the detection of spatiotemporal changes in community composition, ecology, and structure (<xref ref-type="bibr" rid="B37">Landucci et al. 2012</xref>; <xref ref-type="bibr" rid="B36">Knollová et al. 2024</xref>).</p>
      <p>In Italy, some vegetation databases have been developed for coastal dune systems at regional and national scale (e.g., <xref ref-type="bibr" rid="B2">Acosta et al. 2025</xref>), contributing significantly to the documentation of floristic composition and vegetation patterns. However, no existing database integrates long-term vegetation resurveys in shifting, transitional, and fixed dunes, as well as salt marshes, with standardized trait data for the central Adriatic coastal region. In addition, such datasets may provide valuable multitemporal information on these highly dynamic coastal environments, enabling the assessment of global change impacts on their structure and functioning.</p>
      <p>In this paper, we present the central ADRIAtic coastal VEGetation database (<abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev>), which contains 1,000 published and unpublished georeferenced vegetation plots collected between 1985 and 2025 in the Italian sandy coast of Abruzzo, Molise, and northern Apulia, including both single- and re-surveyed plots. By providing standardized and interoperable vegetation data, complemented by detailed taxonomic, chorological, ecological, and functional plant traits, <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> represents a robust data infrastructure for long-term ecological research. The dataset supports the ecological monitoring of coastal habitats in protected, unprotected, and restored sites, enabling the assessment of temporal trends, the evaluation of restoration effectiveness, and the analysis of changes in plant community composition, diversity, structure, and functioning over time (<xref ref-type="bibr" rid="B54">Prisco et al. 2021</xref>; <xref ref-type="bibr" rid="B65">Tozzi et al. 2022</xref>; <xref ref-type="bibr" rid="B14">de Francesco et al. 2023</xref>).</p>
    </sec>
    <sec sec-type="Study area" id="sec2">
      <title>Study area</title>
      <p><abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> includes vegetation plots sampled in Abruz­zo, Molise, and northern Apulia (Italy), across about 200 km of coastal dunes, encompassing 15 sites of high conservation value, including 9 Natura 2000 sites, 1 Regional Natural Reserve, and 5 non-protected sites.</p>
      <p>The study area is characterized by a Mediterranean bioclimate with meso- and thermo-Mediterranean thermo-types and dry and humid ombrotypes (<xref ref-type="bibr" rid="B46">Pesaresi et al. 2014</xref>).</p>
      <p>Climatic data obtained from two meteorological stations located within the study area, Pescara (<named-content content-type="dwc:verbatimCoordinates">42.436975°N, 14.186808°E</named-content>) and Termoli (<named-content content-type="dwc:verbatimCoordinates">42.004294°N, 14.996316°E</named-content>), for the period 1970–2020 indicate mean annual temperatures of 14.7 °C and 16.7 °C, and mean annual precipitation totals of 702 mm and 361 mm, respectively (<xref ref-type="bibr" rid="B14">de Francesco et al. 2023</xref>).</p>
    </sec>
    <sec sec-type="Database structure" id="sec3">
      <title>Database structure</title>
      <p>The <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> dataset contains published (<xref ref-type="bibr" rid="B63">Taffetani and Biondi 1989</xref>; <xref ref-type="bibr" rid="B60">Stanisci and Conti 1990</xref>; <xref ref-type="bibr" rid="B4">Adamoli et al. 1997</xref>; <xref ref-type="bibr" rid="B50">Pirone et al. 2001</xref>; <xref ref-type="bibr" rid="B62">Taffetani 2011</xref>) and unpublished data for a total of 1,000 vegetation plots surveyed in three Adriatic Italian regions (Abruzzo, Molise, and northern Apulia) over a forty-year period, from 1985 to 2025. The historical surveys were conducted using the phytosociological approach (<xref ref-type="bibr" rid="B48">Pignatti 1995</xref>); the more recent plots were sampled using a stratified random method based on EU habitat or vegetation maps, with random designs aimed at studying vegetation by habitat (<xref ref-type="bibr" rid="B35">Kapfer et al. 2017</xref>). Species cover and abundance values follow the Braun-Blanquet scale (<xref ref-type="bibr" rid="B8">Braun-Blanquet 1964</xref>). The phytosociological relevés, representing 17% of the total dataset, range in size from 2 to 200 m<sup>2</sup>, whereas the plots sampled using the stratified random design, accounting for 83% of the dataset, have areas of 4 or 16 m<sup>2</sup>. For plots revisited over time, at least one observer remained the same to minimize potential bias (Vittoz et al. 2007).</p>
      <p><abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> database is harmonized and standardized in terms of species nomenclature and includes 301 vascular plant species and subspecies based on the scientific name according to Flora d’Italia (<xref ref-type="bibr" rid="B53">Portal to the Flora of Italy 2025</xref>), and for each taxon 21 attributes are reported. These attributes include information about: i) vernacular name in Italian (<xref ref-type="bibr" rid="B53">Portal to the Flora of Italy 2025</xref>) and in English (<xref ref-type="bibr" rid="B32">IPNI 2025</xref>; <xref ref-type="bibr" rid="B33">IUCN 2025</xref>); ii) taxonomic family (<xref ref-type="bibr" rid="B6">Bartolucci et al. 2024</xref>); iii) residence time (<xref ref-type="bibr" rid="B25">Galasso et al. 2024</xref>; <xref ref-type="bibr" rid="B23">EASIN 2025</xref>) and status (<xref ref-type="bibr" rid="B25">Galasso et al. 2024</xref>) of alien species in Italy; iv) chorology for native species (<xref ref-type="bibr" rid="B47">Pignatti 1982</xref>); v) origin area for alien species (<xref ref-type="bibr" rid="B69">WFO 2025</xref>); vi) plant habit (<xref ref-type="bibr" rid="B10">Chytrý et al. 2024</xref>); vii) plant life form (<xref ref-type="bibr" rid="B49">Pignatti et al. 2017</xref>); viii) plant growth form (<xref ref-type="bibr" rid="B49">Pignatti et al. 2017</xref>); ix) plant lifespan (<xref ref-type="bibr" rid="B10">Chytrý et al. 2024</xref>); x) ecological indicator values for Europe (EIVE 1.0) (<xref ref-type="bibr" rid="B18">Dengler et al. 2023</xref>); and xi) disturbance indicator values (<xref ref-type="bibr" rid="B42">Midolo et al. 2023</xref>).</p>
      <p>Taxa are categorized in either native (including strict natives and archaeophytes—allochthonous taxa introduced before 1492) or alien (neophytes, i.e., taxa introduced after 1492) (<xref ref-type="bibr" rid="B26">Galasso et al. 2018</xref>, <xref ref-type="bibr" rid="B25">2024</xref>).</p>
      <p>The <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> database was compiled through extensive data collection, rigorous digitization, georeferencing, and structuring. The database is structured to incorporate additional vegetation surveys within the same areas (resurveys), as well as the inclusion of new surveys in other areas. Furthermore, the database is designed to accommodate supplementary information for each recorded taxon.</p>
    </sec>
    <sec sec-type="Database content" id="sec4">
      <title>Database content</title>
      <p>The sampled area encompasses eight EUNIS habitat types (<xref ref-type="bibr" rid="B11">Chytrý et al. 2020</xref>) and 13 Natura 2000 habitats (<xref ref-type="bibr" rid="B45">Perrino et al. 2013</xref>; <xref ref-type="bibr" rid="B55">Prisco et al. 2013</xref>; <xref ref-type="bibr" rid="B51">Pirone et al. 2014</xref>; <xref ref-type="bibr" rid="B61">Stanisci et al. 2014</xref>; <xref ref-type="bibr" rid="B15">Del Vecchio et al. 2015</xref>; <xref ref-type="bibr" rid="B65">Tozzi et al. 2022</xref>), including embryonic and shifting dunes (EU habitats 1210, 2110, 2120; EUNIS habitats N12, N14), transitional dunes with annual grasslands (EU habitats 2130*, 2230; EUNIS habitat N16), fixed dunes with Mediterranean maquis and pine forests (EU habitats 2250*, 2260, 2270*, 9340; EUNIS habitats N1B, N1G, T21), and salt meadows and marshes (EU habitats 1410, 1420, 1510*, 3170*; EUNIS habitats N1J, MA251) (Table <xref ref-type="table" rid="T1">1</xref>).</p>
      <table-wrap id="T1" position="float" orientation="portrait">
        <label>Table 1.</label>
        <caption>
          <p>For each coastal vegetation zone represented in the <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> plots, the corresponding EUNIS habitat code and name are reported, together with the code, name, and a brief description of the habitat of Community interest (<xref ref-type="bibr" rid="B3">Acosta and Ercole 2015</xref>; <xref ref-type="bibr" rid="B7">Biondi et al. 2009</xref>), as well as the number of plots.</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <th rowspan="1" colspan="1">
                <bold>Vegetation zone</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>EUNIS Habitat code and name</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>EU Habitat code and name</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>EU Habitat description</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>Number of plots</bold>
              </th>
            </tr>
            <tr>
              <td rowspan="3" colspan="1">
                <bold>Shifting dunes</bold>
              </td>
              <td rowspan="1" colspan="1">N12 – Mediterranean and Black Sea sand beach</td>
              <td rowspan="1" colspan="1">1210 – Annual vegetation of drift lines</td>
              <td rowspan="1" colspan="1">Pioneer vegetation of sandy and slightly gravelly shores, characterized by rapidly growing halo-nitrophilous therophytes.</td>
              <td rowspan="1" colspan="1">81</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">N 14 – Mediterranean, Macaronesian and Black Sea shifting coastal dune</td>
              <td rowspan="1" colspan="1">2110 – Embryonic shifting dunes</td>
              <td rowspan="1" colspan="1">Perennial psammophilous plants that allow the first processes of construction of coastal dunes.</td>
              <td rowspan="1" colspan="1">234</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">2120 – Shifting dunes along the shoreline with <italic>Ammophila arenaria</italic> (white dunes)</td>
              <td rowspan="1" colspan="1">Dunes consolidated by the <italic>Calamagrostis arenaria</italic> species which allows the deposition of sand and the stabilization of coastal dunes.</td>
              <td rowspan="1" colspan="1">101</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">
                <bold>Transitional dunes</bold>
              </td>
              <td rowspan="2" colspan="1">N 16 – Mediterranean and Macaronesian coastal dune grassland (grey dune)</td>
              <td rowspan="1" colspan="1">2130* – Fixed coastal dunes with herbaceous vegetation (grey dunes)</td>
              <td rowspan="1" colspan="1">Herbaceous plant communities developing on stabilized coastal dunes no longer directly influenced by shoreline processes.</td>
              <td rowspan="1" colspan="1">7</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">2230 – <italic>Malcolmietalia</italic> dune grasslands</td>
              <td rowspan="1" colspan="1">Annual-dominated communities developing in interdunal hollows and xeric clearings.</td>
              <td rowspan="1" colspan="1">209</td>
            </tr>
            <tr>
              <td rowspan="4" colspan="1">
                <bold>Fixed dunes</bold>
              </td>
              <td rowspan="2" colspan="1">N1B – Mediterranean and Black Sea coastal dune scrub</td>
              <td rowspan="1" colspan="1">2250* – Coastal dunes with <italic>Juniperus</italic> spp.</td>
              <td rowspan="1" colspan="1">Fixed dunes with juniper thickets and shrubs of Mediterranean maquis.</td>
              <td rowspan="1" colspan="1">41</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">2260 – <italic>Cisto-Lavanduletalia</italic> dune sclerophyllous scrubs</td>
              <td rowspan="1" colspan="1">Sclerophyllous Mediterranean scrub vegetation of the internal dune areas.</td>
              <td rowspan="1" colspan="1">167</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">N1G – Mediterranean coniferous coastal dune forest</td>
              <td rowspan="1" colspan="1">2270* – Wooded dunes with <italic>Pinus pinea</italic> and/or <italic>Pinus pinaster</italic></td>
              <td rowspan="1" colspan="1">Inner, stable dune sector dominated by pine forests—both natural and planted—with a Mediterranean scrub understory.</td>
              <td rowspan="1" colspan="1">80</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">T21 – Mediterranean evergreen <italic>Quercus</italic> forest</td>
              <td rowspan="1" colspan="1">9340 – <italic>Quercus ilex</italic> and <italic>Quercus rotundifolia</italic> forests</td>
              <td rowspan="1" colspan="1">Holm oak–dominated forest with a sclerophyllous shrub layer.</td>
              <td rowspan="1" colspan="1">4</td>
            </tr>
            <tr>
              <td rowspan="4" colspan="1">
                <bold>Salt Marshes</bold>
              </td>
              <td rowspan="1" colspan="1">N1J – Mediterranean and Black Sea moist and wet dune slack</td>
              <td rowspan="1" colspan="1">1410 – Mediterranean salt meadows (<italic>Juncetalia maritimi</italic>)</td>
              <td rowspan="1" colspan="1">Coastal meadows dominated by rushes or other hygrophilous species that grow in back dune wetlands.</td>
              <td rowspan="1" colspan="1">23</td>
            </tr>
            <tr>
              <td rowspan="3" colspan="1">MA251 – Mediterranean upper saltmarsh</td>
              <td rowspan="1" colspan="1">1420 – Mediterranean and thermo-Atlantic halophilous scrubs (<italic>Sarcocornetiea fruticosi</italic>)</td>
              <td rowspan="1" colspan="1">Perennial halophytic vegetation of marine saline muds, mainly structured as shrub communities with a Mediterranean–Atlantic chorological range.</td>
              <td rowspan="1" colspan="1">27</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">1510* – Mediterranean salt steppes (<italic>Limonietalia</italic>)</td>
              <td rowspan="1" colspan="1">Perennial grass-rich communities on soils temporarily permeated by saline water and experiencing pronounced summer drought</td>
              <td rowspan="1" colspan="1">19</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">3170* – Mediterranean temporary ponds</td>
              <td rowspan="1" colspan="1">Ephemeral, very shallow ponds persisting from winter to late spring, supporting a flora dominated by Mediterranean therophytes and geophytes.</td>
              <td rowspan="1" colspan="1">7</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>The majority of plots in the <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> database are loca­ted in shifting dunes (423 plots; 42.3%), followed by fixed dunes (292 plots; 29.2%), and transitional dunes (209 plots; 20.9%). Salt marshes account for the remaining 76 plots (7.6%) and occur exclusively within the SAC IT7222216 Foce Biferno–Litorale di Campomarino (Fig. <xref ref-type="fig" rid="F1">1</xref>).</p>
      <fig id="F1">
        <object-id content-type="doi">10.3897/ved.190831.figure1</object-id>
        <object-id content-type="arpha">D281391B-B71A-529F-A370-428B02431DF5</object-id>
        <label>Figure 1.</label>
        <caption>
          <p>Localization of sampling sites and visualization of the number of surveyed plots along the dune vegetation zonation. The size of the circles is proportional to the total number of plots, and the slices represent the number of surveys in each zone along the dune gradient. Site numbers refer to sampling locations ordered from north to south, and colors indicate different vegetation zones. 1. Biotope of Martinsicuro; 2. Oasis of the Kentish Plover and the Sea Chamomile; 3. Borsacchio Natural Reserve; 4. Scerne di Pineto beach; 5. SAC IT7120215 Torre del Cerrano; 6. SCI IT7140217 Ripari di Giobbe–Foce Fiume Foro; 7. SAC IT7140107 Lecceta litoranea di Torino di Sangro e foce del Fiume Sangro; 8. Le Morge beach Torino di Sangro; 9. Finis Terrae beach Casalbordino; 10. SAC IT7140108 Punta Aderci–Punta Penna; 11. SAC IT7140109 Marina di Vasto; 12: SAC IT7228221 Foce Trigno–Marina di Petacciato; 13: SAC IT7282216 Foce Biferno–Litorale di Campomarino; 14. SAC IT7222217 Foce Saccione–Bonifica Ramitelli; 15. SAC IT9110015 Duna e Lago di Lesina–Foce del Fortore.</p>
        </caption>
        <graphic xlink:href="ved-63-001-g001.jpg" id="oo_1698770.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1698770</uri>
        </graphic>
      </fig>
      <p>Sites 12, 14, and 15 (Fig. <xref ref-type="fig" rid="F1">1</xref>) are included in the European Long-Term Ecological Research network (<abbrev xlink:title="European Long-Term Ecological Research network">eLTER</abbrev>), a research infrastructure that promotes repeated observations to document biodiversity trends and inform adaptive conservation and restoration strategies (<xref ref-type="bibr" rid="B44">Paolinelli Reis et al. 2024</xref>). The LTER Europe network contributes to metho­dological harmonization and data standardization, foste­ring interoperability and facilitating integrated analyses at different scales (<xref ref-type="bibr" rid="B31">Hughes et al. 2017</xref>; <xref ref-type="bibr" rid="B29">Haase et al. 2018</xref>).</p>
      <p>Most plots (46.4%) were surveyed in the current decade (2020–2029), followed by 2010–2019 period (40.4%) (Fig. <xref ref-type="fig" rid="F2">2A</xref>). Nearly half of the plots (45.1%) were sampled only once, whereas the remainder were resurveyed two (31.2%) to nine (9.9%) times (Fig. <xref ref-type="fig" rid="F2">2B</xref>). Across decades, the most intensively monitored site was SAC IT7228221 Foce Trigno–Marina di Petacciato, accounting for 38.9% of the total plots, followed by SAC IT7222216 Foce Biferno–Litorale di Campomarino (12.8%), SAC IT7140109 Marina di Vasto (10.4%), and SAC IT7222217 Foce Saccione–Bonifica Ramitelli (10.1%) (Fig. <xref ref-type="fig" rid="F2">2C</xref>).</p>
      <fig id="F2">
        <object-id content-type="doi">10.3897/ved.190831.figure2</object-id>
        <object-id content-type="arpha">BEE4FD3E-BDC2-53E2-BA7C-847CC849706D</object-id>
        <label>Figure 2.</label>
        <caption>
          <p>Bar plots showing the proportional distribution of sampling plots by decade (A), the frequency (%) of repetitions per plot (B), and the number of plots for site by decade (C); site locations are shown in Fig. <xref ref-type="fig" rid="F1">1</xref>.</p>
        </caption>
        <graphic xlink:href="ved-63-001-g002.jpg" id="oo_1698771.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1698771</uri>
        </graphic>
      </fig>
      <p><abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> contains 286 native or archeophyte taxa (95%) and 15 neophyte taxa (5%), of which 86.7% are invasive and 13.3% are naturalized non-invasive, belonging to 67 taxonomic families (65 for natives and 9 for aliens). Among native species, the most represented families are <italic>Poaceae</italic> (21%), <italic>Asteraceae</italic> (11%), and <italic>Fabaceae</italic> (11%). By contrast, among alien species, <italic>Asteraceae</italic> is the most represented family (1.8%), while all other families each contribute less than 1% (Fig. <xref ref-type="fig" rid="F3">3A</xref>). Overall, the most frequent species are <italic>Lotus creticus</italic> (58.2%), <italic>Thinopyrum junceum</italic> (45.8%), <italic>Silene colorata</italic> (39.9%), and <italic>Rostraria litorea</italic> (36.4%). The most frequent alien species are <italic>Xanthium orientale</italic> (18.9%), <italic>Oenothera stucchii</italic> (14.6%), <italic>Acacia saligna</italic> (12.3%), and <italic>Cenchrus longispinus</italic> (11.3%), all of which are classified as invasive (Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>).</p>
      <fig id="F3">
        <object-id content-type="doi">10.3897/ved.190831.figure3</object-id>
        <object-id content-type="arpha">16853B02-CC37-5765-BD41-25000B2C4193</object-id>
        <label>Figure 3.</label>
        <caption>
          <p>The triple donut chart shows the relative abundance (%) of taxonomic families for native (violet) and alien (green) taxa. For native taxa only, families with a relative abundance of less than 2.0% were grouped under “Other Families”.</p>
        </caption>
        <graphic xlink:href="ved-63-001-g003.jpg" id="oo_1698772.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1698772</uri>
        </graphic>
      </fig>
      <p>Among the native species, Euro-mediterranean (30.3%), Steno-mediterranean (21.6%), and Euroasiatic (12%) ones prevail. Among alien species, the prevalent origin areas are North America (1.4%) and South Africa (1%).</p>
    </sec>
    <sec sec-type="Future perspectives" id="sec5">
      <title>Future perspectives</title>
      <p>The <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> database is a key resource for studying long-term vegetation dynamics in central Adriatic coastal dune systems. It comprises a set of georeferenced vegetation plots designed for repeated surveys, enabling the analysis of temporal and spatial trends in plant community diversity and structural patterns.</p>
      <p>The standardized structure guarantees interoperability with national and international vegetation databases, facilitating data sharing and large-scale ecological analyses across Mediterranean and European coastal systems. Furthermore, its structure allows the continuous integration of future data.</p>
      <p>Moreover, in line with comparable datasets (<xref ref-type="bibr" rid="B5">Bagella et al. 2024</xref>; <xref ref-type="bibr" rid="B36">Knollová et al. 2024</xref>; <xref ref-type="bibr" rid="B2">Acosta et al. 2025</xref>; <xref ref-type="bibr" rid="B17">Denaro et al. 2025</xref>; <xref ref-type="bibr" rid="B28">Gholizadeh et al. 2025</xref>), this database provides a foundation for identifying conservation priority areas aligned with the objectives of the EU Biodiversity Strategy for 2030 and for assessing the impacts of anthropogenic pressures and climate change, as well as the effectiveness of management actions.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>Acknowledgements</title>
      <p>We thank the Italian LTER (Long-Term Ecological Research) network for its continued support of this research. We are grateful to Dr Lucia Antonietta Santoianni, Dr Francesco Pio Tozzi, Dr Ludovico Frate, Dr Francesco Iannotta, and Dr Francesca Tantalo for their collaboration in fieldwork activities. We also thank the Le Marinelle Forestry Nursery (Petacciato Marina), Antonio Del Vecchio, and Francesco Ricci for logistical support, and Dr Sergio Guccione of the Marine Protected Area “Torre del Cerrano”.</p>
    </ack>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <mixed-citation>Acosta ATR, Carranza ML, Izzi CF (2009) Are there habitats that contribute best to plant species diversity in coastal dune? Biodiversity and Conservation 18: 1087–1098. <ext-link xlink:href="10.1007/s10531-008-9454-9" ext-link-type="doi">https://doi.org/10.1007/s10531-008-9454-9</ext-link></mixed-citation>
      </ref>
      <ref id="B2">
        <mixed-citation>Acosta ATR, Di Biase L, Sarmati S, Allevato E, Angiolini C, … Del Vecchio S (2025) ReSurveyDunes—A data resource of resurveyed coastal dune vegetation relevés in Italy. Vegetation Ecology and Diversity 62: 1–6. <ext-link xlink:href="10.3897/ved.139539" ext-link-type="doi">https://doi.org/10.3897/ved.139539</ext-link></mixed-citation>
      </ref>
      <ref id="B3">
        <mixed-citation>Acosta ATR, Ercole S [Eds] (2015) Gli habitat delle coste sabbiose italiane: ecologia e problematiche di conservazione. ISPRA, Serie Rapporti, 215/2015, Rome.</mixed-citation>
      </ref>
      <ref id="B4">
        <mixed-citation>Adamoli L, Febbo D, Pirone G (1997) The Sand Dune of Martinsicuro in the coastal system of the Abruzzo Region. Editgrafital spa Ed., Teramo, 77 pp.</mixed-citation>
      </ref>
      <ref id="B5">
        <mixed-citation>Bagella S, Caria MC, Bonari G, Malavasi M, Melis R, … Rivieccio G (2024) A thematic vegetation dataset of SArdinian GRAsslands (SAGRA). Plant Sociology 61(2): 41–47. <ext-link xlink:href="10.3897/pls2024612/03" ext-link-type="doi">https://doi.org/10.3897/pls2024612/03</ext-link></mixed-citation>
      </ref>
      <ref id="B6">
        <mixed-citation>Bartolucci F, Peruzzi L, Galasso G, Alessandrini A, Ardenghi NMG, … Conti F (2024) A second update to the checklist of the vascular flora native to Italy. Plant Biosystems 158(2): 219–296. <ext-link xlink:href="10.1080/11263504.2024.2320126" ext-link-type="doi">https://doi.org/10.1080/11263504.2024.2320126</ext-link></mixed-citation>
      </ref>
      <ref id="B7">
        <mixed-citation>Biondi E, Blasi C, Burrascano S, Casavecchia S, Copiz R, … Zivkovic L (2009) Manuale Italiano di interpretazione degli habitat della Direttiva 92/43/CEE (Italian Interpretation Manual of the 92/43/EEC Directive Habitats). [Retrived from] <ext-link xlink:href="http://vnr.unipg.it/habitat/index.jsp" ext-link-type="uri">http://vnr.unipg.it/habitat/index.jsp</ext-link></mixed-citation>
      </ref>
      <ref id="B8">
        <mixed-citation>Braun-Blanquet J (1964) Pflanzensoziologie – Grundzüge der Vegetationskunde. 3<sup>rd</sup> ed. Springer, Vienna, AT, 865 pp. <ext-link xlink:href="10.1007/978-3-7091-8110-2" ext-link-type="doi">https://doi.org/10.1007/978-3-7091-8110-2</ext-link></mixed-citation>
      </ref>
      <ref id="B9">
        <mixed-citation>Carranza ML, Drius M, Marzialetti F, Malavasi M, de Francesco MC, Acosta ATR, Stanisci A (2020) Urban expansion depletes cultural ecosystem services: an insight into a Mediterranean coastline. Rendiconti Lincei. Scienze Fisiche e Naturali 31: 103–111. <ext-link xlink:href="10.1007/s12210-019-00866-w" ext-link-type="doi">https://doi.org/10.1007/s12210-019-00866-w</ext-link></mixed-citation>
      </ref>
      <ref id="B10">
        <mixed-citation>Chytrý M, Řezníčková M, Novotný P, Holubová D, Preislerová Z, … Axmanová I (2024) FloraVeg.EU – an online database of European vegetation, habitats and flora. Applied Vegetation Science 27: e12798. <ext-link xlink:href="10.1111/avsc.12798" ext-link-type="doi">https://doi.org/10.1111/avsc.12798</ext-link></mixed-citation>
      </ref>
      <ref id="B11">
        <mixed-citation>Chytrý M, Tichý L, Hennekens SM, Knollová I, Janssen JAM, … Schaminée JHJ (2020) EUNIS Habitat Classification: expert system, characteristic species combinations and distribution maps of European habitats. Applied Vegetation Science 23: 648–675. <ext-link xlink:href="10.1111/avsc.12519" ext-link-type="doi">https://doi.org/10.1111/avsc.12519</ext-link></mixed-citation>
      </ref>
      <ref id="B12">
        <mixed-citation>de Francesco MC, Carranza ML, Varricchione M, Tozzi FP, Stanisci A (2019) Natural Protected Areas as Special Sentinels of Littering on Coastal Dune Vegetation. Sustainability 11: 5446. <ext-link xlink:href="10.3390/su11195446" ext-link-type="doi">https://doi.org/10.3390/su11195446</ext-link></mixed-citation>
      </ref>
      <ref id="B13">
        <mixed-citation>de Francesco MC, Huamaní Cahuas CF, Rasino MdV, Sciarretta A, Stanisci A (2025) CAM-COAST: the database of bird and mammal fauna collected through camera traps in a Natura 2000 coastal site in Italy. Frontiers in Ecology and Evolution 13: 1603295. <ext-link xlink:href="10.3389/fevo.2025.1603295" ext-link-type="doi">https://doi.org/10.3389/fevo.2025.1603295</ext-link></mixed-citation>
      </ref>
      <ref id="B14">
        <mixed-citation>de Francesco MC, Tozzi FP, Buffa G, Fantinato E, Innangi M, Stanisci A (2023) Identifying critical thresholds in the impacts of invasive alien plants and dune paths on native coastal dune vegetation. Land 12(1): 135. <ext-link xlink:href="10.3390/land12010135" ext-link-type="doi">https://doi.org/10.3390/land12010135</ext-link></mixed-citation>
      </ref>
      <ref id="B15">
        <mixed-citation>Del Vecchio S, Prisco I, Acosta ATR, Stanisci A (2015) Changes in plant species composition of coastal dune habitats over a 20-year period. AoB PLANTS 7: plv018. <ext-link xlink:href="10.1093/aobpla/plv018" ext-link-type="doi">https://doi.org/10.1093/aobpla/plv018</ext-link></mixed-citation>
      </ref>
      <ref id="B16">
        <mixed-citation>Defeo O, McLachlan A, Schoeman DS, Schlacher TA, Dugan J, … Scapini F (2009) Threats to sandy beach ecosystems: a review. Estuarine, Coastal and Shelf Science 81(1): 1–12. <ext-link xlink:href="10.1016/j.ecss.2008.09.022" ext-link-type="doi">https://doi.org/10.1016/j.ecss.2008.09.022</ext-link></mixed-citation>
      </ref>
      <ref id="B17">
        <mixed-citation>Denaro A, Caria MC, Malavasi M, Rivieccio G, Melis R, … Bagella S (2025) Resurveying Mediterranean coastal dunes: insights from the ReSarDu database. Vegetation Ecology and Diversity 62: e174934. <ext-link xlink:href="10.3897/ved.174934" ext-link-type="doi">https://doi.org/10.3897/ved.174934</ext-link></mixed-citation>
      </ref>
      <ref id="B18">
        <mixed-citation>Dengler J, Jansen F, Chusova O, Hüllbusch E, Nobis MP, Gillet F (2023) Ecological Indicator Values for Europe (EIVE) 1.0. Vegetation Classification and Survey 4: 7–29. <ext-link xlink:href="10.3897/VCS.98324" ext-link-type="doi">https://doi.org/10.3897/VCS.98324</ext-link></mixed-citation>
      </ref>
      <ref id="B19">
        <mixed-citation>Di Febbraro M, Frate L, de Francesco MC, Stanisci A, Tozzi FP, … Carranza ML (2021) Modelling beach litter accumulation on Mediterranean coastal landscapes: An integrative framework using species distribution models. Land 10: 54. <ext-link xlink:href="10.3390/land10010054" ext-link-type="doi">https://doi.org/10.3390/land10010054</ext-link></mixed-citation>
      </ref>
      <ref id="B20">
        <mixed-citation>Drius M, Carranza ML, Stanisci A, Jones L (2016) The role of Italian coastal dunes as carbon sinks and diversity sources. A multi-service perspective. Applied Geography 75: 127–136. <ext-link xlink:href="10.1016/j.apgeog.2016.08.007" ext-link-type="doi">https://doi.org/10.1016/j.apgeog.2016.08.007</ext-link></mixed-citation>
      </ref>
      <ref id="B21">
        <mixed-citation>Drius M, Jones L, Marzialetti F, de Francesco MC, Stanisci A, Carranza ML (2019) Not just a sandy beach. The multi-service value of Mediterranean coastal dunes. Science of The Total Environment 668: 1139–1155. <ext-link xlink:href="10.1016/j.scitotenv.2019.02.364" ext-link-type="doi">https://doi.org/10.1016/j.scitotenv.2019.02.364</ext-link></mixed-citation>
      </ref>
      <ref id="B22">
        <mixed-citation>Drius M, Malavasi M, Acosta ATR, Ricotta C, Carranza ML (2013) Boundary-based analysis for the assessment of coastal dune landscape integrity over time. Applied Geography 45: 41–48. <ext-link xlink:href="10.1016/j.apgeog.2013.08.003" ext-link-type="doi">https://doi.org/10.1016/j.apgeog.2013.08.003</ext-link></mixed-citation>
      </ref>
      <ref id="B23">
        <mixed-citation>EASIN (2025) European Alien Species Information Network. Published on the Internet. <ext-link xlink:href="https://easin.jrc.ec.europa.eu/easin" ext-link-type="uri">https://easin.jrc.ec.europa.eu/easin</ext-link> [Accessed on 19 December 2025]</mixed-citation>
      </ref>
      <ref id="B24">
        <mixed-citation>Feng X, Enquist BJ, Park DS, Boyle B, Breshears DD, … Hurlbert A (2022) A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base. Global Ecology and Biogeography: A Journal of Macroecology 31: 1242–1260. <ext-link xlink:href="10.1111/geb.13497" ext-link-type="doi">https://doi.org/10.1111/geb.13497</ext-link></mixed-citation>
      </ref>
      <ref id="B25">
        <mixed-citation>Galasso G, Conti F, Peruzzi L, Alessandrini A, Ardenghi NMG, … Bartolucci F (2024) A second update to the checklist of the vascular flora alien to Italy. Plant Biosystems 158(2): 297–340. <ext-link xlink:href="10.1080/11263504.2024.2320129" ext-link-type="doi">https://doi.org/10.1080/11263504.2024.2320129</ext-link></mixed-citation>
      </ref>
      <ref id="B26">
        <mixed-citation>Galasso G, Conti F, Peruzzi L, Ardenghi NMG, Banfi E, … Bartolucci F (2018) An updated checklist of the vascular flora alien to Italy. Plant Biosystems 152(3): 556–592. <ext-link xlink:href="10.1080/11263504.2018.1441197" ext-link-type="doi">https://doi.org/10.1080/11263504.2018.1441197</ext-link></mixed-citation>
      </ref>
      <ref id="B27">
        <mixed-citation>Gennai M, Angiolini C, Bertacchi A, Gabellini A, Sarmati S, … Foggi B (2022) Studying local species assemblages of salt-affected vegetation for monitoring Natura 2000 habitats. Plant Sociology 59(1): 1–10. <ext-link xlink:href="10.3897/pls2022591/01" ext-link-type="doi">https://doi.org/10.3897/pls2022591/01</ext-link></mixed-citation>
      </ref>
      <ref id="B28">
        <mixed-citation>Gholizadeh H, Bonari G, Pafumi E, Bertacchi A, Calbi M, … Maccherini S (2025) SALTISH: The SALt-affected vegeTatIon dataset of Tuscany coaStal Habitats, central Italy. Vegetation Ecology and Diversity 62: 1–8. <ext-link xlink:href="10.3897/ved.144362" ext-link-type="doi">https://doi.org/10.3897/ved.144362</ext-link></mixed-citation>
      </ref>
      <ref id="B29">
        <mixed-citation>Haase P, Tonkin JD, Stoll S, Burkhard B, Frenzel M, … Schmeller DS (2018) The next generation of site-based long-term ecological monitoring: Linking essential biodiversity variables and ecosystem integrity. Science of The Total Environment 613–614: 1376–1384. <ext-link xlink:href="10.1016/j.scitotenv.2017.08.111" ext-link-type="doi">https://doi.org/10.1016/j.scitotenv.2017.08.111</ext-link></mixed-citation>
      </ref>
      <ref id="B30">
        <mixed-citation>Heberling JM, Miller JT, Noesgaard D, Weingart SB, Schigel D (2021) Data integration enables global biodiversity synthesis. Proceedings of the National Academy of Sciences of the United States of America 118(6): e2018093118. <ext-link xlink:href="10.1073/pnas.2018093118" ext-link-type="doi">https://doi.org/10.1073/pnas.2018093118</ext-link></mixed-citation>
      </ref>
      <ref id="B31">
        <mixed-citation>Hughes BB, Beas-Luna R, Barner AK, Brewitt K, Brumbaugh DR, … Carr MH (2017) Long-Term Studies contribute disproportionately to ecology and policy. Bioscience 67(3): 271–281. <ext-link xlink:href="10.1093/biosci/biw185" ext-link-type="doi">https://doi.org/10.1093/biosci/biw185</ext-link></mixed-citation>
      </ref>
      <ref id="B32">
        <mixed-citation>IPNI (2025) International Plant Names Index. Published on the Internet. <ext-link xlink:href="http://www.ipni.org" ext-link-type="uri">http://www.ipni.org</ext-link> [Accessed on 19 December 2025]</mixed-citation>
      </ref>
      <ref id="B33">
        <mixed-citation>IUCN (2025) The IUCN red list of threatened species. Published on the Internet. <ext-link xlink:href="https://www.iucnredlist.org" ext-link-type="uri">https://www.iucnredlist.org</ext-link> [Accessed on 19 December 2025]</mixed-citation>
      </ref>
      <ref id="B34">
        <mixed-citation>Jones L, Garbutt A, Hansom J, Angus S (2013) Impacts of climate change on coastal habitats. Marine Climate Change Impact Partnership: Science Review 2013: 167–179.</mixed-citation>
      </ref>
      <ref id="B35">
        <mixed-citation>Kapfer J, Hédl R, Jurasinski G, Kopecký M, Schei FH, Grytnes J-A (2017) Resurveying historical vegetation data – opportunities and challenges. Applied Vegetation Science, 20(2): 164–171. <ext-link xlink:href="10.1111/avsc.12269" ext-link-type="doi">https://doi.org/10.1111/avsc.12269</ext-link></mixed-citation>
      </ref>
      <ref id="B36">
        <mixed-citation>Knollová I, Chytrý M, Bruelheide H, Dullinger S, Jandt U, … Moiseev P (2024) ReSurveyEurope: A database of resurveyed vegetation relevés in Europe. Journal of Vegetation Science 35(2): e13235. <ext-link xlink:href="10.1111/jvs.13235" ext-link-type="doi">https://doi.org/10.1111/jvs.13235</ext-link></mixed-citation>
      </ref>
      <ref id="B37">
        <mixed-citation>Landucci F, Acosta ATR, Agrillo E, Attorre F, Biondi E, … Venanzoni R (2012) VegItaly: The Italian collaborative project for a national vegetation database. Plant Biosystems 146(4): 756–763. <ext-link xlink:href="10.1080/11263504.2012.740093" ext-link-type="doi">https://doi.org/10.1080/11263504.2012.740093</ext-link></mixed-citation>
      </ref>
      <ref id="B38">
        <mixed-citation>Liquete C, Zulian G, Delgado I, Stips A, Maes J (2013) Assessment of coastal protection as an ecosystem service in Europe. Ecological Indicators 30: 205–217. <ext-link xlink:href="10.1016/j.ecolind.2013.02.013" ext-link-type="doi">https://doi.org/10.1016/j.ecolind.2013.02.013</ext-link></mixed-citation>
      </ref>
      <ref id="B39">
        <mixed-citation>Malavasi M, Bartak V, Carranza ML, Simova P, Acosta ATR (2018) Landscape pattern and plant biodiversity in Mediterranean coastal dune ecosystems: Do habitat loss and fragmentation really matter? Journal of Biogeography 45: 1367–1377. <ext-link xlink:href="10.1111/jbi.13215" ext-link-type="doi">https://doi.org/10.1111/jbi.13215</ext-link></mixed-citation>
      </ref>
      <ref id="B40">
        <mixed-citation>Marzialetti F, Frate L, De Simone W, Frattaroli AR, Acosta ATR, Carranza ML (2021) Unmanned Aerial Vehicle (UAV)-based mapping of <italic>Acacia saligna</italic> invasion in the Mediterranean coast. Remote Sensing 13(17): 3361. <ext-link xlink:href="10.3390/rs13173361" ext-link-type="doi">https://doi.org/10.3390/rs13173361</ext-link></mixed-citation>
      </ref>
      <ref id="B41">
        <mixed-citation>Mastronardi L, de Francesco MC, Giannelli A, Stanisci A (2015) Biodiversity and tourism in the teatina coastal area (Italy): impact or convergence. Geotema 49: 131–136.</mixed-citation>
      </ref>
      <ref id="B42">
        <mixed-citation>Midolo G, Herben T, Axmanová I, Marcenò C, Pätsch R, … Chytrý M (2023) Disturbance indicator values for European plants. Global Ecology and Biogeography 32(1): 24–34. <ext-link xlink:href="10.1111/geb.13603" ext-link-type="doi">https://doi.org/10.1111/geb.13603</ext-link></mixed-citation>
      </ref>
      <ref id="B43">
        <mixed-citation>Palombo I, Martín-López B, Potschin M, Haines-Young R, Montes C (2013) National Parks, buffer zones and surrounding lands: mapping ecosystem service flows. Ecosystem Services 4: 104–116. <ext-link xlink:href="10.1016/j.ecoser.2012.09.001" ext-link-type="doi">https://doi.org/10.1016/j.ecoser.2012.09.001</ext-link></mixed-citation>
      </ref>
      <ref id="B44">
        <mixed-citation>Paolinelli Reis B, Branquinho C, Török K, Řehounková K, Nunes A, Halassy M (2024) The added value of the long-term ecological research network to upscale restoration in Europe. Journal of Environmental Management 366: 121736. <ext-link xlink:href="10.1016/j.jenvman.2024.121736" ext-link-type="doi">https://doi.org/10.1016/j.jenvman.2024.121736</ext-link></mixed-citation>
      </ref>
      <ref id="B45">
        <mixed-citation>Perrino EV, Tomaselli V, Costa R, … Pavone P (2013) Conservation status of habitats (Directive 92/43 EEC) of coastal and low hill belts in a Mediterranean biodiversity hot spot (Gargano – Italy). Plant Biosystems 147(4): 1006–1028. <ext-link xlink:href="10.1080/11263504.2013.860052" ext-link-type="doi">https://doi.org/10.1080/11263504.2013.860052</ext-link></mixed-citation>
      </ref>
      <ref id="B46">
        <mixed-citation>Pesaresi S, Galdenzi D, Biondi E, Casavecchia S (2014) Bioclimate of Italy: application of the worldwide bioclimatic classification system. Journal of Maps 10(4): 538–553. <ext-link xlink:href="10.1080/17445647.2014.891472" ext-link-type="doi">https://doi.org/10.1080/17445647.2014.891472</ext-link></mixed-citation>
      </ref>
      <ref id="B47">
        <mixed-citation>Pignatti S (1982) Flora d’Italia. Edagricole, Bologna.</mixed-citation>
      </ref>
      <ref id="B48">
        <mixed-citation>Pignatti S (1995) Ecologia vegetale. Ed. UTET, Bologna (Italy).</mixed-citation>
      </ref>
      <ref id="B49">
        <mixed-citation>Pignatti S, Guarino R, La Rosa M (2017) Flora d’Italia [Flora of Italy]. Edagricole, Bologna. Italian.</mixed-citation>
      </ref>
      <ref id="B50">
        <mixed-citation>Pirone G, Corbetta F, Frattaroli AR, Ciaschetti G (2001) Aspetti della vegetazione costiera d’Abruzzo. Biogeographia 22: 170–219. <ext-link xlink:href="10.21426/B6110000" ext-link-type="doi">https://doi.org/10.21426/B6110000</ext-link></mixed-citation>
      </ref>
      <ref id="B51">
        <mixed-citation>Pirone G, Ciaschetti G, Di Martino L, Cianfaglione K, Giallonardo T, Frattaroli AR (2014) Contribution to the knowledge of the coastal vegetation of Abruzzo (central Adriatic). Plant Sociology 51(1): 57–64. <ext-link xlink:href="10.7338/pls2014512S1/08" ext-link-type="doi">https://doi.org/10.7338/pls2014512S1/08</ext-link></mixed-citation>
      </ref>
      <ref id="B52">
        <mixed-citation>Pontieri F, Innangi M, Di Febbraro M, Carranza ML (2025) Remote sensing applied to dynamic landscape: seventy years of change along the Southern Adriatic coast. Remote Sensing 17(24): 3961. <ext-link xlink:href="10.3390/rs17243961" ext-link-type="doi">https://doi.org/10.3390/rs17243961</ext-link></mixed-citation>
      </ref>
      <ref id="B53">
        <mixed-citation>Portal to the Flora of Italy (2025) Portal to the Flora of Italy. http:/dryades.units.it/floritaly [Accessed on 17 December 2025]</mixed-citation>
      </ref>
      <ref id="B54">
        <mixed-citation>Prisco I, Acosta ATR, Stanisci A (2021) A bridge between tourism and nature conservation: boardwalks effects on coastal dune vegetation. Journal of Coastal Conservation 25: 14. <ext-link xlink:href="10.1007/s11852-021-00809-4" ext-link-type="doi">https://doi.org/10.1007/s11852-021-00809-4</ext-link></mixed-citation>
      </ref>
      <ref id="B55">
        <mixed-citation>Prisco I, Carboni M, Acosta ATR (2013) The fate of threatened coastal dune habitats in Italy under climate change scenarios. PLOS ONE 8(7): e68850. <ext-link xlink:href="10.1371/journal.pone.0068850" ext-link-type="doi">https://doi.org/10.1371/journal.pone.0068850</ext-link></mixed-citation>
      </ref>
      <ref id="B56">
        <mixed-citation>Rasino MDV, Fattorini S, Innangi M, Stanisci A, Sciarretta A, Carranza ML (2026) Taxonomic and functional diversity of noctuoid moths in a Mediterranean coastal area: implications for dune conservation in a long-term ecological research eLTER site. Insect Science. <ext-link xlink:href="10.1111/1744-7917.70228" ext-link-type="doi">https://doi.org/10.1111/1744-7917.70228</ext-link></mixed-citation>
      </ref>
      <ref id="B57">
        <mixed-citation>Rhymes J, Jones L, Lapworth DJ, White D, Fenner N, … Perkins TL (2015) Using chemical, microbial and fluorescence techniques to understand contaminant sources and pathways to wetlands in a conservation site. Science of The Total Environment 511: 703–710. <ext-link xlink:href="10.1016/j.scitotenv.2014.12.085" ext-link-type="doi">https://doi.org/10.1016/j.scitotenv.2014.12.085</ext-link></mixed-citation>
      </ref>
      <ref id="B58">
        <mixed-citation>Seitz RD, Wennhage H, Bergström ULF, Lipcius RN, Ysebaert T (2014) Ecological value of coastal habitats for commercially and ecologically important species. ICES Journal of Marine Science 71(3): 648–665. <ext-link xlink:href="10.1093/icesjms/fst152" ext-link-type="doi">https://doi.org/10.1093/icesjms/fst152</ext-link></mixed-citation>
      </ref>
      <ref id="B59">
        <mixed-citation>Sperandii MG, Barták V, Carboni M, Acosta ATR (2021) Getting the measure of the biodiversity crisis in Mediterranean coastal habitats. Journal of Ecology 109: 1224–1235. <ext-link xlink:href="10.1111/1365-2745.13547" ext-link-type="doi">https://doi.org/10.1111/1365-2745.13547</ext-link></mixed-citation>
      </ref>
      <ref id="B60">
        <mixed-citation>Stanisci A, Conti F (1990) Aspetti vegetazionali di un settore costiero molisano-abruzzese. Annali di Botanica 48(7): 85–94.</mixed-citation>
      </ref>
      <ref id="B61">
        <mixed-citation>Stanisci A, Acosta ATR, Carranza ML, de Chiro M, Del Vecchio S, … Prisco I (2014) EU habitats monitoring along the coastal dunes of the LTER sites of Abruzzo and Molise (Italy). Plant Sociology 51(1): 51–56. <ext-link xlink:href="https://www.scienzadellavegetazione.it/wp-content/uploads/2023/07/379.pdf" ext-link-type="uri">https://www.scienzadellavegetazione.it/wp-content/uploads/2023/07/379.pdf</ext-link></mixed-citation>
      </ref>
      <ref id="B62">
        <mixed-citation>Taffetani F (2011) Il Bosco Fantine: un’area umida retrodunale di elevato valore naturalistico e ambientale nel Comune di Campomarino (CB). I Quaderni della Selva, 4. Ed. Centro Orto Botanico Interdipartimentale di Servizi, Università Politecnica delle Marche.</mixed-citation>
      </ref>
      <ref id="B63">
        <mixed-citation>Taffetani F, Biondi E (1989) La vegetazione del litorale molisano e pugliese tra le foci dei fiumi Biferno e Fortore (Adriatico centro-meridionale). Colloques phytosociologiques 18: 323–352.</mixed-citation>
      </ref>
      <ref id="B64">
        <mixed-citation>Tozzi FP, Carranza ML, Frate L, Stanisci A (2021) The impact of <italic>Acacia saligna</italic> on the composition and structure of the Mediterranean Maquis. Biodiversity 22: 53–66. <ext-link xlink:href="10.1080/14888386.2021.1936640" ext-link-type="doi">https://doi.org/10.1080/14888386.2021.1936640</ext-link></mixed-citation>
      </ref>
      <ref id="B65">
        <mixed-citation>Tozzi FP, Varricchione M, de Francesco MC, Carranza ML, Stanisci A (2022) Vegetation dynamics on a restored salt marsh mosaic: a re-visitation study in a coastal wetland in Central Italy. Wetlands 42: 101. <ext-link xlink:href="10.1007/s13157-022-01627-6" ext-link-type="doi">https://doi.org/10.1007/s13157-022-01627-6</ext-link></mixed-citation>
      </ref>
      <ref id="B66">
        <mixed-citation>van der Maarel E (2003) Some remarks on the functions of European coastal ecosystems. Phytocoenologia 33: 187–202. <ext-link xlink:href="10.1127/0340-269X/2003/0033-0187" ext-link-type="doi">https://doi.org/10.1127/0340-269X/2003/0033-0187</ext-link></mixed-citation>
      </ref>
      <ref id="B67">
        <mixed-citation>Vittoz P, Guisan A (2007) How reliable is the monitoring of permanent vegetation plots? A test with multiple observers. Journal of Vegetation Science 18(3): 413–422. <ext-link xlink:href="10.1111/j.1654-1103.2007.tb02553.x" ext-link-type="doi">https://doi.org/10.1111/j.1654-1103.2007.tb02553.x</ext-link></mixed-citation>
      </ref>
      <ref id="B68">
        <mixed-citation>Walker S, Wilson JB, Steel JB, Rapson GL, Smith B, … Cottam YH (2003) Properties of ecotones: Evidence from five ecotones objectively determined from a coastal vegetation gradient. Journal of Vegetation Science 14: 579–590. <ext-link xlink:href="10.1111/j.1654-1103.2003.tb02185.x" ext-link-type="doi">https://doi.org/10.1111/j.1654-1103.2003.tb02185.x</ext-link></mixed-citation>
      </ref>
      <ref id="B69">
        <mixed-citation>WFO (2025) World Flora Online. Published on the Internet. <ext-link xlink:href="http://www.worldfloraonline.org" ext-link-type="uri">http://www.worldfloraonline.org</ext-link> [Accessed on 19 December 2025]</mixed-citation>
      </ref>
    </ref-list>
    <sec sec-type="Additional information" id="sec6">
      <title>Additional information</title>
      <sec sec-type="Conflict of interest" id="sec7">
        <title>Conflict of interest</title>
        <p>The authors have declared that no competing interests exist.</p>
      </sec>
      <sec sec-type="Ethical statement" id="sec8">
        <title>Ethical statement</title>
        <p>No ethical statement was reported.</p>
      </sec>
      <sec sec-type="Artificial Intelligence (AI) use" id="sec9">
        <title>Artificial Intelligence (AI) use</title>
        <p>The authors accept full responsibility for the content of the manuscript, including the disclosure of any use of AI.</p>
        <p>No AI tools were used in the preparation of this manuscript.</p>
      </sec>
      <sec sec-type="Funding" id="sec10">
        <title>Funding</title>
        <p>The work is funded under the RICONNECTO project – MPA Torre del Cerrano. Co-financed by: ABRUZZO REGION, Department of Agriculture, Forestry and Parks Service. PR FESR Abruzzo 2021-2027, ACTION 2.7.1. Protection of biodiversity and improvement of natural ecosystems within and outside Natura 2000 sites. Intervention 2.7.1.2 “Protection of biodiversity and improvement of natural ecosystems, strengthening ecological connections.”</p>
      </sec>
      <sec sec-type="Author contributions" id="sec11">
        <title>Author contributions</title>
        <p>MCdF, MV, AS: Conceptualization. MCdF, MV, AS: Methodology. MCdF, MV: Formal Analysis. MCdF, MDVR, MLC, MV, AS: Investigation. MCdF, MV: Data Curation. MCdF, MV, AS: Writing – Original Draft. AS, MLC: Funding Acquisition. All authors: Writing – Review &amp; Editing.</p>
      </sec>
      <sec sec-type="Author ORCIDs" id="sec12">
        <title>Author ORCIDs</title>
        <p>M.C. de Francesco <ext-link xlink:href="https://orcid.org/0000-0002-5238-1154" ext-link-type="uri">https://orcid.org/0000-0002-5238-1154</ext-link></p>
        <p>M.L. Carranza <ext-link xlink:href="https://orcid.org/0000-0001-5753-890X" ext-link-type="uri">https://orcid.org/0000-0001-5753-890X</ext-link></p>
        <p>M.D.V. Rasino <ext-link xlink:href="https://orcid.org/0000-0002-6266-0392" ext-link-type="uri">https://orcid.org/0000-0002-6266-0392</ext-link></p>
        <p>M. Varricchione <ext-link xlink:href="https://orcid.org/0000-0003-4716-6609" ext-link-type="uri">https://orcid.org/0000-0003-4716-6609</ext-link></p>
        <p>A. Stanisci <ext-link xlink:href="https://orcid.org/0000-0002-5302-0932" ext-link-type="uri">https://orcid.org/0000-0002-5302-0932</ext-link></p>
      </sec>
      <sec sec-type="Data availability" id="sec13">
        <title>Data availability</title>
        <p><abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> database is recorded in the Global Index Vegetation-Plot Database (GIVD) under the code EU-IT-024 (<ext-link xlink:href="http://www.givd.info/ID/EU-IT-024" ext-link-type="uri">http://www.givd.info/ID/EU-IT-024</ext-link>). Furthermore, vegetation data will be stored in the European Vegetation Archive (EVA). The data sharing will be fully accessible upon request to the database custodians (<ext-link xlink:href="mailto:maria.defrancesco@unimol.it" ext-link-type="uri">maria.defrancesco@unimol.it</ext-link>; <ext-link xlink:href="mailto:marco.varricchione@unimol.it" ext-link-type="uri">marco.varricchione@unimol.it</ext-link>).</p>
      </sec>
    </sec>
    <fn-group>
      <fn id="fntitle">
        <p>Topical Collection: “Vegetation databases: enhancing data integration and accessibility for ecological research”.</p>
      </fn>
    </fn-group>
    <sec sec-type="supplementary-material">
      <title>Supplementary materials</title>
      <supplementary-material id="S1" position="float" orientation="portrait" xlink:type="simple">
        <object-id content-type="doi">10.3897/ved.190831.suppl1</object-id>
        <object-id content-type="arpha">CEBB7707-237B-5822-9A27-014A780D605B</object-id>
        <label>Supplementary material 1</label>
        <caption>
          <p>Checklist of <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> database</p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>docx</p>
        </statement>
        <statement content-type="notes">
          <label>Explanation note</label>
          <p>Checklist of <abbrev xlink:title="ADRIAtic coastal VEGetation database">AdriaVeg</abbrev> database along with the scientific name (<xref ref-type="bibr" rid="B53">Portal to the Flora of Italy 2025</xref>), vernacular name in Italian (IT) (<xref ref-type="bibr" rid="B53">Portal to the Flora of Italy 2025</xref>) and in English (EN) (<xref ref-type="bibr" rid="B32">IPNI 2025</xref>; <xref ref-type="bibr" rid="B33">IUCN 2025</xref>), taxonomic family (<xref ref-type="bibr" rid="B6">Bartolucci et al. 2024</xref>), resident time (<xref ref-type="bibr" rid="B25">Galasso et al. 2024</xref>; <xref ref-type="bibr" rid="B23">EASIN 2025</xref>) and relative frequency in the plots (%).</p>
        </statement>
        <media xlink:href="ved-63-001-s001.docx" mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" position="float" orientation="portrait" id="oo_1698773.docx">
          <uri content-type="original_file">https://binary.pensoft.net/file/1698773</uri>
        </media>
        <permissions>
          <license>
            <license-p>This dataset is made available under the Open Database License (<ext-link ext-link-type="uri" xlink:href="http://opendatacommons.org/licenses/odbl/1.0">http://opendatacommons.org/licenses/odbl/1.0</ext-link>). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.</license-p>
          </license>
        </permissions>
        <attrib specific-use="authors"> Maria Carla de Francesco, Maria Laura Carranza, Micaela Del Valle Rasino, Marco Varricchione, Angela Stanisci</attrib>
      </supplementary-material>
    </sec>
  </back>
</article>
