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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">119</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:164696f9-9de4-57df-b939-8dd7e23d8d8f</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Aquatic Invasions</journal-title>
        <abbrev-journal-title xml:lang="en">AquaInv</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">1798-6540</issn>
      <issn pub-type="epub">1818-5487</issn>
      <publisher>
        <publisher-name>Regional Euro-Asian Biological Invasions Centre</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3391/ai.2026.21.1.180751</article-id>
      <article-id pub-id-type="publisher-id">180751</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="biological_taxon">
          <subject>Portunidae</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Bioinvasions in marine and coastal waters</subject>
          <subject>Marine &amp; Freshwater ecology</subject>
        </subj-group>
        <subj-group subj-group-type="geographical_area">
          <subject>Italy</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Ecology and biology of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in the Northern Adriatic Sea: could the small spatial scale explain its outbreak?</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Boschiero</surname>
            <given-names>Marco</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Facca</surname>
            <given-names>Chiara</given-names>
          </name>
          <email xlink:type="simple">facca@unive.it</email>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Cavraro</surname>
            <given-names>Francesco</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Redolfi Bristol</surname>
            <given-names>Simone</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-4329-7380</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Gavioli</surname>
            <given-names>Anna</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Riccato</surname>
            <given-names>Federico</given-names>
          </name>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Zucchetta</surname>
            <given-names>Matteo</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-5431-6751</uri>
          <xref ref-type="aff" rid="A4">4</xref>
          <xref ref-type="aff" rid="A5">5</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Franzoi</surname>
            <given-names>Piero</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Ca’ Foscari University of Venice, Venezia, Italy</addr-line>
        <institution>Ca’ Foscari University of Venice</institution>
        <addr-line content-type="city">Venezia</addr-line>
        <country>Italy</country>
        <uri content-type="ror">https://ror.org/04yzxz566</uri>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">University of Ferrara, Ferrara, Italy</addr-line>
        <institution>University of Ferrara</institution>
        <addr-line content-type="city">Ferrara</addr-line>
        <country>Italy</country>
        <uri content-type="ror">https://ror.org/041zkgm14</uri>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Laguna Project s.n.c., Venezia, Italy</addr-line>
        <institution>Laguna Project s.n.c.</institution>
        <addr-line content-type="city">Venezia</addr-line>
        <country>Italy</country>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Institute of Polar Sciences, National Research Council of Italy (CNR-ISP), Venezia, Italy</addr-line>
        <institution>Institute of Polar Sciences, National Research Council of Italy (CNR-ISP)</institution>
        <addr-line content-type="city">Venezia</addr-line>
        <country>Italy</country>
        <uri content-type="ror">https://ror.org/05d49bv37</uri>
      </aff>
      <aff id="A5">
        <label>5</label>
        <addr-line content-type="verbatim">NBFC, National Biodiversity Future Center, Palermo, Italy</addr-line>
        <institution>NBFC, National Biodiversity Future Center</institution>
        <addr-line content-type="city">Palermo</addr-line>
        <country>Italy</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Chiara Facca (<email xlink:type="simple">facca@unive.it</email>)</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: Yuriy Kvach</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <volume>21</volume>
      <issue>1</issue>
      <fpage>49</fpage>
      <lpage>72</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/88AB2DB6-3AD2-51FF-9103-5F1CCF52D0E7">88AB2DB6-3AD2-51FF-9103-5F1CCF52D0E7</uri>
      <uri content-type="zenodo_dep_id" xlink:href="https://zenodo.org/record/0">0</uri>
      <history>
        <date date-type="received">
          <day>22</day>
          <month>08</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>04</day>
          <month>11</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Marco Boschiero, Chiara Facca, Francesco Cavraro, Simone Redolfi Bristol, Anna Gavioli, Federico Riccato, Matteo Zucchetta, Piero Franzoi</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>The Atlantic blue crab (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic>) is among the 100 worst invasive species in the Mediterranean Sea, causing significant ecological and economic impacts. The aim of this study is to investigate key aspects of the species’ biology and ecology during its demographic outbreak in a Northern Adriatic area significantly affected by the species’ invasion. Year-round sampling was carried out across a short spatial gradient encompassing lagoon, estuarine, and marine habitats. This comprehensive approach aimed to elucidate the invasive success of the blue crab. Our findings shows that the species resulted widely distributed across all habitat types, with significant differences among stations, seasons, and sexes, with females being prevalent in higher salinity marine and outer lagoon waters during spawning season. These findings, along with the spatiotemporal analyses of the condition factor and the presence in the lagoon of various cohorts of juveniles over the year, highlight the completion of the complex life cycle of the blue crab on an extremely small spatial scale. Moreover, with an average of over 2 million eggs laid per female and a prolonged spawning season, the species reveals a robust reproductive potential, likely favoured by the short distance between mating and spawning habitats. In conclusion, the results of this study underscore the critical role of the short spatial environmental mosaic in facilitating the invasive success of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic>, providing relevant data for managing this unprecedented demographic explosion.</p>
      </abstract>
      <kwd-group>
        <label>Key words:</label>
        <kwd>Atlantic blue crab</kwd>
        <kwd>fecundity</kwd>
        <kwd>invasion</kwd>
        <kwd>reproductive cycle</kwd>
        <kwd>salinity gradient</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="sec1">
        <title>Citation</title>
        <p>Boschiero M, Facca C, Cavraro F, Redolfi Bristol S, Gavioli A, Riccato F, Zucchetta M, Franzoi P (2026) Ecology and biology of Callinectes sapidus in the Northern Adriatic Sea: could the small spatial scale explain its outbreak?. Aquatic Invasions 21(1): 49–72. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3391/ai.2026.21.1.180751">https://doi.org/10.3391/ai.2026.21.1.180751</ext-link></p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="sec2">
      <title>Introduction</title>
      <p>The Atlantic blue crab <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> Rathbun, 1896 is a decapod crustacean of the <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="family" reg="Portunidae">Portunidae</tp:taxon-name-part></tp:taxon-name> family (<xref ref-type="bibr" rid="B27">Hill et al. 1989</xref>), native to the western Atlantic coast, from Nova Scotia to Argentina (<xref ref-type="bibr" rid="B43">Mancinelli et al. 2017</xref>). Due to its characteristics that make it a very adaptable species when colonizing new areas (<xref ref-type="bibr" rid="B15">Epifanio 2019</xref>), <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> is listed among the 100 worst invasive species in the Mediterranean (<xref ref-type="bibr" rid="B67">Streftaris and Zenetos 2006</xref>). It is a large-sized aggressive species, with high fecundity, rapid mobility, osmoregulation capacity, and strong tolerance to temperature variations: all characteristics that allow it to compete effectively for food and space (<xref ref-type="bibr" rid="B27">Hill et al. 1989</xref>; <xref ref-type="bibr" rid="B22">Gennaio et al. 2006</xref>; <xref ref-type="bibr" rid="B52">Nehring 2011</xref>; <xref ref-type="bibr" rid="B15">Epifanio 2019</xref>).</p>
      <p>In Europe, the blue crab was first recorded in 1900 along the French coasts (<xref ref-type="bibr" rid="B35">Kampouris et al. 2020</xref>), while in the Mediterranean it was first officially documented in 1949 in Italy, along the coasts of the northern Adriatic (<xref ref-type="bibr" rid="B50">Mizzan 1993</xref>). Probably introduced several times through ship ballast water, the blue crab has been spreading to various European basins, including the Baltic (<xref ref-type="bibr" rid="B12">Czerniejewski et al. 2020</xref>) and the Black Sea (<xref ref-type="bibr" rid="B39">Kvach et al. 2025</xref>), and is now present in almost all Mediterranean countries (<xref ref-type="bibr" rid="B52">Nehring 2011</xref>; <xref ref-type="bibr" rid="B43">Mancinelli et al. 2017</xref>). It first successfully established in the Eastern Mediterranean Sea (e.g., Greece and Turkey; <xref ref-type="bibr" rid="B56">Perdikaris et al. 2016</xref>; <xref ref-type="bibr" rid="B70">Türeli et al. 2016</xref>; <xref ref-type="bibr" rid="B37">Kevrekidis and Antoniadou 2018</xref>; <xref ref-type="bibr" rid="B55">Öztürk et al. 2020</xref>; <xref ref-type="bibr" rid="B38">Kevrekidis et al. 2023</xref>), and only later in the western part of the basin (e.g., Southern Italy, Spain and France; <xref ref-type="bibr" rid="B22">Gennaio et al. 2006</xref>; <xref ref-type="bibr" rid="B42">López and Rodon 2018</xref>; <xref ref-type="bibr" rid="B19">Fuentes et al. 2019</xref>; <xref ref-type="bibr" rid="B40">Labrune et al. 2019</xref>). The expansion of the blue crab has then been rapidly proceeding along the Adriatic Sea (e.g., Italy, Albania, Croatia; <xref ref-type="bibr" rid="B9">Cilenti et al. 2015</xref>; <xref ref-type="bibr" rid="B44">Manfrin et al. 2015</xref>; <xref ref-type="bibr" rid="B43">Mancinelli et al. 2017</xref>; <xref ref-type="bibr" rid="B49">Milori et al. 2017</xref>; <xref ref-type="bibr" rid="B24">Glamuzina et al. 2023</xref>) and resulted in an unprecedented outbreak in the Northern Adriatic occurring since spring and summer 2023 (<xref ref-type="bibr" rid="B3">Azzurro et al. 2024</xref>; <xref ref-type="bibr" rid="B8">Chiesa et al. 2025</xref>). The exponential increase in abundance of the species is raising concerns about the impacts that it may have on local ecosystems and the fishing industry. <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> is a keystone species in coastal ecosystems and is a very versatile predator, although it prefers bivalve molluscs and crustaceans (<xref ref-type="bibr" rid="B29">Hines 2007</xref>; <xref ref-type="bibr" rid="B59">Rady et al. 2018</xref>). The blue crab competes and preys on native fauna, compromising the survival of native species such as the Mediterranean green crab <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Carcinus">Carcinus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aestuarii">aestuarii</tp:taxon-name-part></tp:taxon-name></italic> Nardo, 1847, threatened and probably already extirpated locally in some areas of Greece and Spain (<xref ref-type="bibr" rid="B42">López and Rodon 2018</xref>; <xref ref-type="bibr" rid="B34">Kampouris et al. 2019</xref>; <xref ref-type="bibr" rid="B11">Clavero et al. 2022</xref>). Moreover, the impact of the blue crab has also been recorded on relevant commercial molluscs such as the Common cockle <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Cerastoderma">Cerastoderma</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="edule">edule</tp:taxon-name-part></tp:taxon-name></italic> Linnaeus, 1758 at Ebro Delta (Spain, <xref ref-type="bibr" rid="B42">López and Rodon 2018</xref>) and Manila clam <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Ruditapes">Ruditapes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="philippinarum">philippinarum</tp:taxon-name-part></tp:taxon-name></italic> A. Adams &amp; Reeve, 1850 at Po Delta (Italy; <xref ref-type="bibr" rid="B8">Chiesa et al. 2025</xref>), with considerable economic impacts on the local economies. Small-scale fisheries targeting several local species have also been affected by the blue crab in invaded areas as the Ebro Delta (<xref ref-type="bibr" rid="B11">Clavero et al. 2022</xref>) and the Po Delta (<xref ref-type="bibr" rid="B21">Gavioli et al. 2025</xref>), with drastic abundance decreases observed for some species following the recent outbreak of the species. Moreover, the blue crab directly impacts some fishing gear, such as traditional fyke nets, which require constant maintenance with significant economic and time costs for retrieval and repair of the nets (<xref ref-type="bibr" rid="B23">Glamuzina et al. 2021</xref>).</p>
      <p>Although the complete eradication of the species is unlikely due to its high adaptability and mobility (<xref ref-type="bibr" rid="B20">Garrido and De Basquiat 2023</xref>), investigating biological and ecological characteristics of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in the new invaded areas is essential to better understand the reasons for the success of the species in the area and manage the invasion emergency. The blue crab has deeply been studied in its native distribution range, where its biology and ecology are extremely well known (see <xref ref-type="bibr" rid="B53">Newcombe 1945</xref>; <xref ref-type="bibr" rid="B72">Van Engel 1958</xref>; <xref ref-type="bibr" rid="B45">Millikin and Williams 1984</xref>; <xref ref-type="bibr" rid="B57">Perry and McIlwain 1986</xref>; <xref ref-type="bibr" rid="B27">Hill et al. 1989</xref>; <xref ref-type="bibr" rid="B31">Jivoff 1997</xref>; <xref ref-type="bibr" rid="B71">Turner et al. 2003</xref>; <xref ref-type="bibr" rid="B28">Hines 2003</xref>, <xref ref-type="bibr" rid="B29">2007</xref>; <xref ref-type="bibr" rid="B1">Aguilar et al. 2005</xref>; <xref ref-type="bibr" rid="B33">Jivoff et al. 2007</xref>; <xref ref-type="bibr" rid="B69">Tilburg et al. 2008</xref>; <xref ref-type="bibr" rid="B60">Ramach et al. 2009</xref>; <xref ref-type="bibr" rid="B15">Epifanio 2019</xref>). However, the way invasive species react and adapt to newly invaded areas and proliferate can vary greatly from their spread areas.</p>
      <p>Several factors can be hypothesized to have contributed to the outbreak of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> that occurred in the Northern Adriatic in 2023. Firstly, increased temperatures associated with climate change appear to favour the progressive expansion of the species to higher latitudes. Indeed, under various RCP scenarios, it has been predicted that in the near future <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> will experience an increase in habitat suitability in the Northern Adriatic (<xref ref-type="bibr" rid="B6">Cavraro et al. 2022</xref>). Furthermore, high connectivity in the dispersal of blue crab larvae was observed along both the eastern and western Adriatic coasts (<xref ref-type="bibr" rid="B46">Marchessaux et al. 2023a</xref>). This is probably linked to the large-scale cyclonic meander circulation of this sea, characterized by a northerly flow along the eastern coast and a southerly return flow along the western coast (<xref ref-type="bibr" rid="B54">Orlic et al. 1992</xref>). Additionally, the Northern Adriatic is an area with exceptionally high trophic availability (<xref ref-type="bibr" rid="B4">Barausse et al. 2009</xref>), with the presence of numerous lagoon environments that maximize resource availability (<xref ref-type="bibr" rid="B18">Franzoi et al. 2010</xref>). These environments promote the proliferation of bivalve molluscs, supporting extensive clam farming and simultaneously providing abundant resources for the blue crab (<xref ref-type="bibr" rid="B8">Chiesa et al. 2025</xref>). Lastly, this type of environment, where river mouths, lagoons, and the sea interface over short distances, can provide the ideal conditions for the blue crab, as the salinity is a crucial parameter regulating the biological and reproductive cycles of the species (<xref ref-type="bibr" rid="B72">Van Engel 1958</xref>; <xref ref-type="bibr" rid="B15">Epifanio et al. 2019</xref>). Therefore, a short spatial salinity gradient could exceptionally increase the dispersal potential and invasiveness of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic>, as it can find the perfect conditions for speeding up its life cycle. The occurrence of this phenomenon has also been suggested for another invaded area of the Mediterranean, the Thermaikos Gulf in Greece (<xref ref-type="bibr" rid="B37">Kevrekidis and Antoniadou 2018</xref>).</p>
      <p>This study aims to investigate key aspects of the species’ biology and ecology during its demographic outbreak in a Northern Adriatic area. We present an annual insight about <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> across various habitat types (riverine estuary, lagoon and marine coast). The investigation was carried on simultaneously with the species demographic explosion in the area and we focused on: I) Spatial and temporal distribution to determine habitat preferences and year-round migration patterns. II) Main morphological relationships to study growth, weight gain and condition factor across stations and seasons. III) Size structure within lagoon sites using two fishing gears to identify crabs at various maturation stages. IV) Species fecundity by analysing the distribution and fertility of ovigerous females across stations and seasons. This comprehensive approach aimed to elucidate the invasive success of this allochthonous species in an area characterized by different habitats along a short spatial gradient.</p>
    </sec>
    <sec sec-type="materials|methods" id="sec3">
      <title>Materials and methods</title>
      <sec sec-type="Study area" id="sec4">
        <title>Study area</title>
        <p>The present study was conducted in four locations near Chioggia (northeastern Italy), along a salinity gradient which extends from the outlet of the Brenta River to the Adriatic Sea, including the southern part of Venice lagoon (Figure <xref ref-type="fig" rid="F1">1</xref>). The northern Adriatic coast of Italy is characterized by the presence of many waterways that flow into the sea, creating a mosaic made of different environments such as riverine estuaries, lagoons and marine coastal habitats, close and connected to each other. The Venice lagoon is a shallow transitional water body, covering an area of about 550 km<sup>2</sup>. It is the largest Italian lagoon, and it is connected to the sea through three large navigable inlets (Lido, Malamocco and Chioggia; <xref ref-type="bibr" rid="B65">Solidoro et al. 2010</xref>). The environmental complexity of this transitional water system, a network of interconnected habitats such as saltmarshes, channels and shallow bottom areas, generates a great variety of ecological niches and plenty of resources to be used by a wide number of species (<xref ref-type="bibr" rid="B51">Molinaroli et al. 2009</xref>; <xref ref-type="bibr" rid="B65">Solidoro et al. 2010</xref>). The diversity in morphological and environmental features ensures the importance of the Venice lagoon for its multi-functional role, being exploited by resident and marine migrant nekton species as feeding, shelter, reproductive, and nursery grounds (<xref ref-type="bibr" rid="B17">Franco et al. 2006</xref>; <xref ref-type="bibr" rid="B18">Franzoi et al. 2010</xref>; <xref ref-type="bibr" rid="B63">Scapin et al. 2022</xref>). Just a few kilometres south of the Chioggia inlet, the Brenta River outflows into the Adriatic Sea (Figure <xref ref-type="fig" rid="F1">1</xref>) with an average annual discharge of 65 m<sup>3</sup>/s (<xref ref-type="bibr" rid="B2">ARPAV 2023</xref>).</p>
        <fig id="F1">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure1</object-id>
          <object-id content-type="arpha">906F6492-EAFA-50E1-817E-CCAD33421997</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Map of sampling stations near Chioggia: <abbrev xlink:title="northern Chioggia">CHN</abbrev> and <abbrev xlink:title="southern Chioggia">CHS</abbrev> (Venice Lagoon), <abbrev xlink:title="Pellestrina">PELL</abbrev> (Adriatic coast), and <abbrev xlink:title="Brenta River mouth">BR</abbrev> (Brenta River mouth).</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g001.jpg" id="oo_1534402.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534402</uri>
          </graphic>
        </fig>
        <p>In the northwestern Adriatic, salinity gradients occur on an extremely small spatial scale, around two orders of magnitude smaller than in Atlantic environments such as the Chesapeake Bay, where the blue crab is most prevalent and females undergo post-mating migrations for 150–200 km (<xref ref-type="bibr" rid="B71">Turner et al. 2003</xref>; <xref ref-type="bibr" rid="B1">Aguilar et al. 2005</xref>). To study the effect of the steep salinity gradients typical of the area, four sampling stations were selected near Chioggia to represent distinct environmental characteristics, all located between 2 and 9 km of each other and include: two lagoon stations, <abbrev xlink:title="northern Chioggia">CHN</abbrev> (northern Chioggia, at 7 km from the sea, <named-content content-type="dwc:verbatimCoordinates">45°13'58.06"N, 12°13'11.35"E</named-content>) and <abbrev xlink:title="southern Chioggia">CHS</abbrev> (southern Chioggia, at 5 km from the sea, <named-content content-type="dwc:verbatimCoordinates">45°13'21.15"N, 12°14'21.25"E</named-content>); a coastal marine station, <abbrev xlink:title="Pellestrina">PELL</abbrev> (Pellestrina, <named-content content-type="dwc:verbatimCoordinates">45°14'13.00"N, 12°18'32.21"E</named-content>) and a station at the Brenta River mouth, <abbrev xlink:title="Brenta River mouth">BR</abbrev> (Brenta, at 2 km from the sea, <named-content content-type="dwc:verbatimCoordinates">45°10'33.90"N, 12°17'27.15"E</named-content>).</p>
        <p>The two lagoon stations exhibit salinity levels that generally range from polyhaline to euhaline, and partial macrophyte cover. Despite their geographical proximity, <abbrev xlink:title="northern Chioggia">CHN</abbrev> is more confined by saltmarshes and undergoes a minor influence from both freshwater and saltwater inputs into the lagoon. Conversely, <abbrev xlink:title="southern Chioggia">CHS</abbrev> is more exposed to freshwater inputs from a large canal (Canale Novissimo) and to seawater inputs from tidal flow through Chioggia inlet. <abbrev xlink:title="Pellestrina">PELL</abbrev>, a marine site, is characterized by higher and more stable salinities and presents a bare sandy substrate. <abbrev xlink:title="Brenta River mouth">BR</abbrev>, located at the Brenta river mouth, typically presents oligohaline waters and a bare muddy substrate. However, at this station, salinity undergoes significant fluctuations, primarily driven by meteorological conditions. The distribution of the sampling stations was arranged following the salinity gradient on a spatial transect of only a few kilometres.</p>
      </sec>
      <sec sec-type="Sampling methods" id="sec5">
        <title>Sampling methods</title>
        <p>Sampling activities using wire crab pots were carried out from June 2023 to June 2024. A total of 14 sampling events were performed at each of the four sampling stations during this period (9 in 2023 and 5 in 2024). During each sampling event, six wire pots of two different types (3 pots per type) were deployed at each site and retrieved 24 hours later. The first type measured 52.5×42.5×22.5 cm (L×W×H; 4×4 cm square mesh) and featured four entry funnels, no internal chambers, and three circular escape vents (6 cm diameter) for non-target species. The second type measured 40×61×40 cm (L×W×H; 5×5 cm square mesh) and was equipped with four entry funnels, an internal chamber, and no escape vents. All wire pots were baited with low-value fish species, primarily grey mullets and sardines. One sampling event in 2023 was not conducted at the <abbrev xlink:title="Pellestrina">PELL</abbrev> due to adverse sea conditions. Sampling using the fyke nets (locally named “tresse con cogolli”, a traditional fishing gear with a mesh size of 0.6 cm (<xref ref-type="bibr" rid="B74">Zucchetta et al. 2016</xref>; <xref ref-type="bibr" rid="B63">Scapin et al. 2022</xref>) was also conducted for a total of 6 sampling events from October 2023 to June 2024. The nets were positioned within the lagoon, in the area between sites <abbrev xlink:title="northern Chioggia">CHN</abbrev> and <abbrev xlink:title="southern Chioggia">CHS</abbrev>. During each sampling event, 20 “bertovelli” were inspected from the numerous ones actively used by local fishermen in their routine fishing operations. Environmental parameters were recorded at each sampling event using a multiparameter probe (Hanna Instrument 9829). These included: temperature (± 0.01°C), pH (± 0.01), salinity (± 0.01 PSU), turbidity (± 0.1 FNU), and dissolved oxygen (± 0.1% saturation).</p>
      </sec>
      <sec sec-type="Laboratory analyses" id="sec6">
        <title>Laboratory analyses</title>
        <p>All the crabs sampled with pots and a sub-sample of crabs (representative of the sex-ratio and size distribution) collected during each fyke nets check were culled using a two-step ethical protocol as described in <xref ref-type="bibr" rid="B14">de Souza Valente (2022)</xref> and analysed in the laboratory. Each specimen was identified to species level and sexed based on <xref ref-type="bibr" rid="B61">Rathbun 1930</xref>, weighed (W) with a technical balance (± 0.01 g) and measured using a standard Vernier calliper (± 0.1 mm) according to the method in <xref ref-type="bibr" rid="B16">Fazhan et al. (2021)</xref> adapted for blue crab as in Figure <xref ref-type="fig" rid="F2">2</xref>. Measurements of blue crab’s carapace taken include Total Carapace Width (<abbrev xlink:title="Total Carapace Width">TCW</abbrev>), Carapace Width at the basis of spines (<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev>) and Carapace Length (<abbrev xlink:title="Carapace Length">CL</abbrev>). A total of 1171 crabs were analysed.</p>
        <fig id="F2">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure2</object-id>
          <object-id content-type="arpha">99FDD599-A391-5133-9915-F056B5F12F60</object-id>
          <label>Figure 2.</label>
          <caption>
            <p>Measurement of blue crab’s carapace: Total Carapace Width (<abbrev xlink:title="Total Carapace Width">TCW</abbrev>), Carapace Width at the basis of spines (<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev>) and Carapace Length (<abbrev xlink:title="Carapace Length">CL</abbrev>). Source: ian.umces.edu/media-library.</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g002.jpg" id="oo_1534403.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534403</uri>
          </graphic>
        </fig>
        <p>The methodology for fertility estimates used was adapted from <xref ref-type="bibr" rid="B7">Chenery (2002)</xref> and <xref ref-type="bibr" rid="B62">Rodrigues et al. (2011)</xref>. The egg masses or “sponges” were removed from ovigerous females, taking care to remove the crab’s pleopods, and weighed. The total number of eggs was estimated from a subsample of approximately 50–100 mg, the exact weight of which was measured using an analytical balance (± 0.001 g). This subsample was then spread as homogeneously as possible in a gridded Petri dish (10 mm × 10 mm). Using a stereomicroscope (Nikon SMZ1270, with magnification ranging from ×6.3 to ×80), the number of eggs was counted in 30 cells of the gridded Petri dish. From this count, the total number of eggs in the subsample was estimated, from which the total number of eggs in the sample was then extrapolated. Additionally, the diameters of 30 randomly selected eggs from each egg mass were measured (± 0.01 mm) using a digital controller (Nikon DS-L3 with the attached camera Nikon DS-Fi2). The egg masses were subsequently classified into maturation stages based on colour observation and stereomicroscopic analysis. Three stages were identified: 1) Early maturation stage (yellow-light orange colour); 2) Intermediate maturation stage (dark orange-brown colour); 3) Pre-hatching (dark brown-black colour) (<xref ref-type="bibr" rid="B64">Severino-Rodrigues et al. 2013</xref>; <xref ref-type="bibr" rid="B36">Kelly and Taylor 2018</xref>). A total of 86 egg masses were analysed.</p>
      </sec>
      <sec sec-type="Data analyses" id="sec7">
        <title>Data analyses</title>
        <p>The distribution of crabs captured with wire pots over stations and seasons by sex was analysed by performing a <abbrev xlink:title="Generalized Linear Model">GLM</abbrev> (negative binomial family; significant <italic>p</italic> &lt; 0.05; n = 660). Post hoc exploring relevant interactions between the three factors was conducted through Estimated Marginal Means (<abbrev xlink:title="Estimated Marginal Means">EMMs</abbrev>) with False Discovery Rate (<abbrev xlink:title="False Discovery Rate">FDR</abbrev>) adjustment method (significance at <italic>p</italic> &lt; 0.05). To perform graphical representation and statistical analysis, data were organized into seasonal periods, broadly defined as: Summer (Jun-Aug 2023), Autumn (Sep-Dec 2023), Winter (Feb-Mar 2024), and Spring (Apr-Jun 2024).</p>
        <p>The relationships between the main morphological parameters and the total weight of all sampled crabs (wire pots and fyke nets) were compared using regression models, with log-transformed variables. The following comparisons were performed (W-<abbrev xlink:title="Carapace Length">CL</abbrev>; W-<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev>; W-<abbrev xlink:title="Total Carapace Width">TCW</abbrev>; <abbrev xlink:title="Total Carapace Width">TCW</abbrev>-<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev>; <abbrev xlink:title="Total Carapace Width">TCW</abbrev>-<abbrev xlink:title="Carapace Length">CL</abbrev>) separately for males and females. Specimens lacking one or both chelae were excluded from the regressions involving weight and eggs weight was removed in ovigerous females. The slope of the linear relationship (parameter ‘b’) was used to determine isometry (b = 1 or b = 3) and allometry (b ≠ 1 or b ≠ 3) by means of linear F-test (significant allometry at p &lt; 0.05) (<xref ref-type="bibr" rid="B26">Hartnoll 1978</xref>). Moreover, ‘b’ values were compared between sexes through ANCOVA analysis in order to evaluate sexual dimorphism in growth. The condition of adult crabs over stations and seasons by sex was investigated using the relative condition factor (Kn) (<xref ref-type="bibr" rid="B5">Blackwell et al. 2000</xref>). The relative condition factor <italic>K<sub>n</sub></italic> was determined using the formula <italic>K<sub>n</sub></italic> = <italic>W/W’</italic>, where <italic>W’</italic> represents the expected weigh derived from the <abbrev xlink:title="Total Carapace Width">TCW</abbrev>-W relationship for a specimen of its size (<abbrev xlink:title="Total Carapace Width">TCW</abbrev>). Natural logarithm-transformed data were fitted to the linear equation ln(W) = m ln(<abbrev xlink:title="Total Carapace Width">TCW</abbrev>) + ln(q). Two separate linear equations were fitted for females and males and then used to estimate the expected weight, as the slopes of the two regression lines were found to be statistically different (ANCOVA, <italic>p</italic> &lt; 0.001). For the calculation of K<sub>n</sub>, specimens lacking one or both chelae were excluded. Missing <abbrev xlink:title="Total Carapace Width">TCW</abbrev> data due to broken spines were estimated using regression based on <abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev>. The factor was calculated solely for adult crabs collected with wire pots and data organized into seasonal periods as previously reported. Statistical differences of K<sub>n</sub> over stations and seasons by sex were tested by performing a <abbrev xlink:title="Generalized Linear Model">GLM</abbrev> (gamma family; significant <italic>p</italic> &lt; 0.05; n = 701). Post hoc exploring all interactions between the three factors was conducted through Estimated Marginal Means (<abbrev xlink:title="Estimated Marginal Means">EMMs</abbrev>) with False Discovery Rate (<abbrev xlink:title="False Discovery Rate">FDR</abbrev>) adjustment method (significance at <italic>p</italic> &lt; 0.05).</p>
        <p>Population size distribution was seasonally calculated for females and males using <abbrev xlink:title="Total Carapace Width">TCW</abbrev> with 1 cm frequency and distinguishing fyke nets data from wire pots data, as the latter only capture adult crabs. Moreover, only data from the lagoon stations were included, as sampling data with both gear types were available. No statistical analysis was performed as the fyke net data presents a polymodal distribution that could not be fitted by a suitable model.</p>
        <p>Spatial and temporal distribution of ovigerous females was tested using a binomial presence/absence <abbrev xlink:title="Generalized Linear Model">GLM</abbrev> (significance at <italic>p</italic> &lt; 0.05; n = 330). The odds ratio was calculated, and Tukey HSD post hoc for pairwise comparisons was performed (significance at <italic>p</italic> &lt; 0.05). The tests included solely data of crabs collected by wire pots and data organized into seasonal periods as previously reported. As ovigerous females were only sampled from April to September, for further investigations three periods were identified within the egg-laying season: 1 – spring (April and May; n = 33); 2 – early summer (June and July; n = 27); 3 – late summer (August and September; n = 25). A total of 86 ovigerous females were analysed, but one was excluded from statistical analyses as an outlier using the Interquartile Range (<abbrev xlink:title="Interquartile Range">IQR</abbrev>) Method. The estimated egg numbers were analysed as a function of sampling station, period, and maturation stage by means of One-Way ANOVA and Tukey post hoc test in case of significant differences (<italic>p</italic> &lt; 0.05; n = 85). The linear equations, the adjusted coefficient of determination (Adjusted R²) and the p-value (significance at <italic>p</italic> &lt; 0.05) were obtained. Slopes comparisons were tested by means of ANCOVA analysis (significance at <italic>p</italic> &lt; 0.05).</p>
        <p>Statistical analyses were performed and graphics plotted using R (v 4.5.0; R Core Team 2025) within RStudio (v 2024.12.1+563; <xref ref-type="bibr" rid="B58">Posit team 2025</xref>). The most appropriate model was selected for each analysis and assumptions were tested using DHARMa library (v 0.4.7; <xref ref-type="bibr" rid="B25">Hartig 2024</xref>), including residual distributions, uniformity, dispersion and outlier tests (Suppl. material <xref ref-type="supplementary-material" rid="S3">3</xref>: figure S1).</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="sec8">
      <title>Results</title>
      <sec sec-type="Environmental characterization of stations" id="sec9">
        <title>Environmental characterization of stations</title>
        <p>The seasonal and yearly average values of water environmental parameters, detected at each sampling station, are shown in Table <xref ref-type="table" rid="T1">1</xref>. <abbrev xlink:title="Brenta River mouth">BR</abbrev> showed overall lower temperatures, pH and salinity alongside higher turbidity with notable variability in salinity and turbidity, compared to other stations. The two lagoon stations, while displaying similar parameter values with yearly average salinity above 30 PSU, saw <abbrev xlink:title="northern Chioggia">CHN</abbrev> exhibit greater variability in dissolved oxygen and turbidity. <abbrev xlink:title="Pellestrina">PELL</abbrev> recorded the highest salinity and dissolved oxygen, and the lowest turbidity, generally showing low variability across most of the parameters. Seasonal variations show a clear pattern only for temperature, with summer peak and winter minimum. Salinity was lower in spring in all the stations. Dissolved oxygen was lower in summer in all the stations except <abbrev xlink:title="Pellestrina">PELL</abbrev>. Turbidity and pH did not show any clear seasonal variation.</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1.</label>
          <caption>
            <p>Seasonal and yearly average (± SD) values of water environmental parameters detected per sampling station (<abbrev xlink:title="Brenta River mouth">BR</abbrev>, <abbrev xlink:title="northern Chioggia">CHN</abbrev>, <abbrev xlink:title="southern Chioggia">CHS</abbrev>, <abbrev xlink:title="Pellestrina">PELL</abbrev>): Temperature (°C); ph; Salinity (PSU); Dissolved Oxygen (%); Turbidity (FNU).</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <th rowspan="1" colspan="1">
                  <bold>Station</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Season</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Temp. (°C)</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>pH</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Sal. (PSU)</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>DO (%)</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Turb. (FNU)</bold>
                </th>
              </tr>
              <tr>
                <td rowspan="5" colspan="1">
                  <bold>
                    <abbrev xlink:title="Brenta River mouth">BR</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1">Summer</td>
                <td rowspan="1" colspan="1">23.15 ± 2.86</td>
                <td rowspan="1" colspan="1">7.83 ± 0.10</td>
                <td rowspan="1" colspan="1">3.11 ± 3.61</td>
                <td rowspan="1" colspan="1">85.01 ± 0.46</td>
                <td rowspan="1" colspan="1">20.08 ± 6.86</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Autumn</td>
                <td rowspan="1" colspan="1">13.56 ± 8.17</td>
                <td rowspan="1" colspan="1">8.04 ± 0.20</td>
                <td rowspan="1" colspan="1">15.42 ± 15.46</td>
                <td rowspan="1" colspan="1">104.19 ± 13.18</td>
                <td rowspan="1" colspan="1">68.87 ± 97.92</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Winter</td>
                <td rowspan="1" colspan="1">11.74 ± 1.76</td>
                <td rowspan="1" colspan="1">8.02 ± 0.11</td>
                <td rowspan="1" colspan="1">2.15 ± 0.91</td>
                <td rowspan="1" colspan="1">106.38 ± 6.32</td>
                <td rowspan="1" colspan="1">20.11 ± 0.30</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Spring</td>
                <td rowspan="1" colspan="1">17.76 ± 2.76</td>
                <td rowspan="1" colspan="1">7.83 ± 0.45</td>
                <td rowspan="1" colspan="1">0.70 ± 0.80</td>
                <td rowspan="1" colspan="1">116.39 ± 1.29</td>
                <td rowspan="1" colspan="1">52.80 ± 59.95</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Full year</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>16.37 ± 6.00</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>7.92 ± 0.25</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>5.64 ± 9.54</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>102.32 ± 14.42</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>42.32 ± 56.01</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="5" colspan="1">
                  <bold>
                    <abbrev xlink:title="northern Chioggia">CHN</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1">Summer</td>
                <td rowspan="1" colspan="1">23.54 ± 1.60</td>
                <td rowspan="1" colspan="1">8.38 ± 0.35</td>
                <td rowspan="1" colspan="1">32.85 ± 2.20</td>
                <td rowspan="1" colspan="1">74.35 ± 15.66</td>
                <td rowspan="1" colspan="1">3.39 ± 2.36</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Autumn</td>
                <td rowspan="1" colspan="1">17.57 ± 8.13</td>
                <td rowspan="1" colspan="1">8.25 ± 0.20</td>
                <td rowspan="1" colspan="1">31.60 ± 2.47</td>
                <td rowspan="1" colspan="1">105.37 ± 18.50</td>
                <td rowspan="1" colspan="1">1.78 ± 1.09</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Winter</td>
                <td rowspan="1" colspan="1">12.22 ± 1.35</td>
                <td rowspan="1" colspan="1">8.47 ± 0.07</td>
                <td rowspan="1" colspan="1">29.98 ± 3.87</td>
                <td rowspan="1" colspan="1">109.74 ± 7.11</td>
                <td rowspan="1" colspan="1">3.40 ± 2.40</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Spring</td>
                <td rowspan="1" colspan="1">21.98 ± 4.34</td>
                <td rowspan="1" colspan="1">8.50 ± 0.30</td>
                <td rowspan="1" colspan="1">26.21 ± 0.59</td>
                <td rowspan="1" colspan="1">108.12 ± 51.56</td>
                <td rowspan="1" colspan="1">25.90 ± 41.98</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Full year</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>19.88 ± 5.99</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>8.38 ± 0.26</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>30.66 ± 3.29</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>95.50 ± 28.94</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>7.76 ± 19.26</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="5" colspan="1">
                  <bold>
                    <abbrev xlink:title="southern Chioggia">CHS</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1">Summer</td>
                <td rowspan="1" colspan="1">23.96 ± 1.47</td>
                <td rowspan="1" colspan="1">8.39 ± 0.38</td>
                <td rowspan="1" colspan="1">30.77 ± 5.46</td>
                <td rowspan="1" colspan="1">81.92 ± 9.25</td>
                <td rowspan="1" colspan="1">11.52 ± 6.96</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Autumn</td>
                <td rowspan="1" colspan="1">17.95 ± 7.95</td>
                <td rowspan="1" colspan="1">8.30 ± 0.16</td>
                <td rowspan="1" colspan="1">32.94 ± 2.08</td>
                <td rowspan="1" colspan="1">104.88 ± 12.98</td>
                <td rowspan="1" colspan="1">2.52 ± 0.86</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Winter</td>
                <td rowspan="1" colspan="1">12.14 ± 1.34</td>
                <td rowspan="1" colspan="1">8.43 ± 0.08</td>
                <td rowspan="1" colspan="1">31.25 ± 3.22</td>
                <td rowspan="1" colspan="1">110.17 ± 5.64</td>
                <td rowspan="1" colspan="1">3.91 ± 1.17</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Spring</td>
                <td rowspan="1" colspan="1">21.72 ± 4.45</td>
                <td rowspan="1" colspan="1">8.43 ± 0.08</td>
                <td rowspan="1" colspan="1">24.87 ± 3.98</td>
                <td rowspan="1" colspan="1">102.20 ± 11.97</td>
                <td rowspan="1" colspan="1">6.92 ± 3.81</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Full year</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>20.07 ± 6.00</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>8.38 ± 0.24</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>30.19 ± 4.75</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>96.86 ± 15.14</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>6.87 ± 5.74</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="5" colspan="1">
                  <bold>
                    <abbrev xlink:title="Pellestrina">PELL</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1">Summer</td>
                <td rowspan="1" colspan="1">27.11 ± 2.21</td>
                <td rowspan="1" colspan="1">8.14 ± 0.22</td>
                <td rowspan="1" colspan="1">33.45 ± 2.16</td>
                <td rowspan="1" colspan="1">122.01 ± 7.02</td>
                <td rowspan="1" colspan="1">0.37 ± 0.36</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Autumn</td>
                <td rowspan="1" colspan="1">19.56 ± 6.07</td>
                <td rowspan="1" colspan="1">8.35 ± 0.05</td>
                <td rowspan="1" colspan="1">35.10 ± 1.56</td>
                <td rowspan="1" colspan="1">112.65 ± 5.56</td>
                <td rowspan="1" colspan="1">1.65 ± 1.75</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Winter</td>
                <td rowspan="1" colspan="1">11.92 ± 1.70</td>
                <td rowspan="1" colspan="1">8.37 ± 0.13</td>
                <td rowspan="1" colspan="1">34.21 ± 0.54</td>
                <td rowspan="1" colspan="1">133.17 ± 7.88</td>
                <td rowspan="1" colspan="1">1.52 ± 0.49</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Spring</td>
                <td rowspan="1" colspan="1">21.37 ± 2.48</td>
                <td rowspan="1" colspan="1">8.52 ± 0.02</td>
                <td rowspan="1" colspan="1">29.31 ± 0.83</td>
                <td rowspan="1" colspan="1">146.12 ± 6.33</td>
                <td rowspan="1" colspan="1">2.39 ± 2.08</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Full year</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>20.54 ± 6.17</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>8.34 ± 0.15</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>33.25 ± 2.68</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>123.99 ± 13.90</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>1.50 ± 1.52</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec sec-type="Spatial and seasonal distribution" id="sec10">
        <title>Spatial and seasonal distribution</title>
        <p>Spatial and seasonal distribution of the blue crab, assessed through catch per unit effort (<abbrev xlink:title="catch per unit effort">CPUE</abbrev>), demonstrated extreme variability and complexity as shown in Figure <xref ref-type="fig" rid="F3">3</xref>. Both sexes were present at every station and in every season. A Generalized Linear Model (<abbrev xlink:title="Generalized Linear Model">GLM</abbrev>), using a negative binomial family revealed significant differences when considering three-way interactions between stations, seasons and sexes (<italic>p</italic> &lt; 0.001). These findings indicate that variations in crab distribution between males and females are dependent on the season, and this seasonal-sex pattern itself varies among stations. Significant seasonal variations, detected through post hoc analysis showed that females at <abbrev xlink:title="Pellestrina">PELL</abbrev> were more abundant in spring compared to autumn (<italic>p</italic> &lt; 0.001) and winter (<italic>p</italic> = 0.006) and in summer compared to autumn (<italic>p</italic> = 0.008), while males at <abbrev xlink:title="Brenta River mouth">BR</abbrev> were more abundant in spring compared to winter (<italic>p</italic> = 0.024). Station-level significant differences showed that females in spring were more abundant at <abbrev xlink:title="Pellestrina">PELL</abbrev> compared to all the other stations (<italic>p</italic> &lt; 0.05) and in summer at <abbrev xlink:title="Pellestrina">PELL</abbrev> compared to <abbrev xlink:title="northern Chioggia">CHN</abbrev> (<italic>p</italic> = 0.003), while males in spring were less abundant at <abbrev xlink:title="Pellestrina">PELL</abbrev> compared to both <abbrev xlink:title="Brenta River mouth">BR</abbrev> (<italic>p</italic> = 0.004) and <abbrev xlink:title="southern Chioggia">CHS</abbrev> (<italic>p</italic> = 0.039). Moreover, many significant differences between sexes were detected, most of the time with males more abundant than females. Specifically, males were more abundant in autumn at all stations (<italic>p</italic> &lt; 0.05) and in summer at <abbrev xlink:title="northern Chioggia">CHN</abbrev> (<italic>p</italic> &lt; 0.001). Females were only significantly more abundant than males in spring at <abbrev xlink:title="Pellestrina">PELL</abbrev> (<italic>p</italic> &lt; 0.001).</p>
        <fig id="F3">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure3</object-id>
          <object-id content-type="arpha">E7C84086-B7F9-5DE7-B829-DAE51AC838A3</object-id>
          <label>Figure 3.</label>
          <caption>
            <p><abbrev xlink:title="catch per unit effort">CPUE</abbrev> (mean ± SE) of male and female crabs per station (<abbrev xlink:title="Brenta River mouth">BR</abbrev>, <abbrev xlink:title="northern Chioggia">CHN</abbrev>, <abbrev xlink:title="southern Chioggia">CHS</abbrev>, <abbrev xlink:title="Pellestrina">PELL</abbrev>) and per season: summer (n pots = 30), autumn (n = 24), winter (n = 12), spring (n = 18).</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g003.jpg" id="oo_1534404.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534404</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="Morphological relationships and condition factor" id="sec11">
        <title>Morphological relationships and condition factor</title>
        <p>The outputs of the relationships between the main morphological parameters and the total weight of crabs (W-<abbrev xlink:title="Carapace Length">CL</abbrev>; W-<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev>; W-<abbrev xlink:title="Total Carapace Width">TCW</abbrev>; <abbrev xlink:title="Total Carapace Width">TCW</abbrev>-<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev>; <abbrev xlink:title="Total Carapace Width">TCW</abbrev>-<abbrev xlink:title="Carapace Length">CL</abbrev>) are summarized and reported in Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>: table SS1 separately for female and male crabs. Adjusted R<sup>2</sup> and p-values exhibit a strong significance between all the relationships investigated. For each pair of variables, the comparison of the slope of the regression lines for females and males showed significant differences (ANCOVA, <italic>p</italic> &lt; 0.001; Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>: table SS1). The relations between crab weight W and carapace measures always exhibit negative allometry in females (b &lt; 3; F test, <italic>p</italic> &lt; 0.05), while in males they either exhibit positive allometry for W-<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev> and W-<abbrev xlink:title="Carapace Length">CL</abbrev> relations (b &gt; 3; <italic>p</italic> &lt; 0.05) or isometry for W-<abbrev xlink:title="Total Carapace Width">TCW</abbrev> relation (b = 3; <italic>p</italic> &gt; 0.05). Instead, <abbrev xlink:title="Total Carapace Width">TCW</abbrev>-<abbrev xlink:title="Carapace Width at the basis of spines">CW</abbrev> and <abbrev xlink:title="Total Carapace Width">TCW</abbrev>-<abbrev xlink:title="Carapace Length">CL</abbrev> exhibit positive allometry in females (b &gt; 1; <italic>p</italic> &lt; 0.05) and isometry in males (b = 1; <italic>p</italic> &gt; 0.05).</p>
        <p>The relative condition factor (K<sub>n</sub>) was calculated based on the regression lines for females, y = 2.249x – 1.0093 (adjusted R² = 0.7944, <italic>p</italic> &lt; 0.001), and for males, y = 2.797x – 2.130 (adjusted R² = 0.8334, <italic>p</italic> &lt; 0.001) (Figure <xref ref-type="fig" rid="F4">4</xref>). The two regression lines exhibited significantly different slopes (ANCOVA; <italic>p</italic> &lt; 0.001), with adult males showing a greater increase in weight compared to females for a given increase in carapace width.</p>
        <fig id="F4">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure4</object-id>
          <object-id content-type="arpha">824AA7E6-752C-5AB2-91DE-C3AB41495790</object-id>
          <label>Figure 4.</label>
          <caption>
            <p>Regression lines between the logarithms of total carapace width (<abbrev xlink:title="Total Carapace Width">TCW</abbrev>) and weight (W) for male (blue) and female (red) crabs.</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g004.jpg" id="oo_1534405.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534405</uri>
          </graphic>
        </fig>
        <p>The results of the relative condition factor (K<sub>n</sub>) for female and male crabs are shown in Figure <xref ref-type="fig" rid="F5">5</xref>, and their complexity was explored with a gamma family <abbrev xlink:title="Generalized Linear Model">GLM</abbrev>. The three-way interaction between station, season, and sex implies that the combined influence of station and season on K<sub>n</sub> is distinct for each sex (<italic>p</italic> = 0.002). Post hoc analysis of three-way interaction revealed many significant differences, mostly among stations. Specifically, males exhibited a higher K<sub>n</sub> at both lagoon stations compared to <abbrev xlink:title="Brenta River mouth">BR</abbrev> in all seasons (<italic>p</italic> &lt; 0.05), while at <abbrev xlink:title="Pellestrina">PELL</abbrev> K<sub>n</sub> was only significantly lower than <abbrev xlink:title="northern Chioggia">CHN</abbrev> in autumn (<italic>p</italic> = 0.03) and never higher compared to <abbrev xlink:title="Brenta River mouth">BR</abbrev> (<italic>p</italic> &gt; 0.05), revealing a clear pattern with K<sub>n</sub> being higher at <abbrev xlink:title="northern Chioggia">CHN</abbrev> and <abbrev xlink:title="southern Chioggia">CHS</abbrev>, intermediate at <abbrev xlink:title="Pellestrina">PELL</abbrev> and lower at <abbrev xlink:title="Brenta River mouth">BR</abbrev>. Consistently, females did also often exhibit significantly higher K<sub>n</sub> at lagoon stations compared to <abbrev xlink:title="Brenta River mouth">BR</abbrev> (<italic>p</italic> &lt; 0.05), while in spring K<sub>n</sub> was higher at <abbrev xlink:title="Pellestrina">PELL</abbrev> compared to both <abbrev xlink:title="southern Chioggia">CHS</abbrev> (<italic>p</italic> = 0.026) and <abbrev xlink:title="Brenta River mouth">BR</abbrev> (<italic>p</italic> &lt; 0.001), showing a more complex pattern compared to males. Differences at seasonal and sex level were only seldomly significant. Specifically, K<sub>n</sub> was only higher in summer compared to spring for females at <abbrev xlink:title="southern Chioggia">CHS</abbrev> (<italic>p</italic> = 0.043) and for males at <abbrev xlink:title="Brenta River mouth">BR</abbrev> (<italic>p</italic> = 0.042). Sex differences only detected higher K<sub>n</sub> for males compared to females in spring at <abbrev xlink:title="northern Chioggia">CHN</abbrev> (<italic>p</italic> = 0.029) and <abbrev xlink:title="southern Chioggia">CHS</abbrev> (<italic>p</italic> = 0.013).</p>
        <fig id="F5">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure5</object-id>
          <object-id content-type="arpha">5F9229E1-61A9-5E5E-9F61-E10FD931EC9D</object-id>
          <label>Figure 5.</label>
          <caption>
            <p>Relative condition factor Kn (mean ± SE) of male and female crabs per station (<abbrev xlink:title="Brenta River mouth">BR</abbrev>, <abbrev xlink:title="northern Chioggia">CHN</abbrev>, <abbrev xlink:title="southern Chioggia">CHS</abbrev>, <abbrev xlink:title="Pellestrina">PELL</abbrev>) and per season (summer, autumn, winter, spring). The number of analysed crabs are reported as “<italic>n</italic>”.</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g005.jpg" id="oo_1534406.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534406</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="Size distribution" id="sec12">
        <title>Size distribution</title>
        <p>Population size structure analysis (Figure <xref ref-type="fig" rid="F6">6</xref>; Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: table SS2) shows that wire pots (large mesh size) only capture adult crabs (min <abbrev xlink:title="Total Carapace Width">TCW</abbrev> = 9.71 cm), with females always exhibiting high abundance around 15 cm <abbrev xlink:title="Total Carapace Width">TCW</abbrev>, and males progressively increasing their abundance peaks from 13–14 cm in summer 2023 to 17 cm in spring 2024. Indeed, the overall mean <abbrev xlink:title="Total Carapace Width">TCW</abbrev> of crabs captured with wire pots increased during the year-round sampling period, from 14.22 ± 1.44 cm of summer 2023 to 16.28 ± 1.53 cm of spring 2024. Conversely, fyke nets (fine mesh size) deployed in the same area and period (excluding summer) also caught juveniles of various sizes, with minimum <abbrev xlink:title="Total Carapace Width">TCW</abbrev> of 2.47 cm. The polymodal size structure of fyke nets highlights multiple crab recruitment events in lagoon waters throughout the year, probably occurring from spring to autumn.</p>
        <fig id="F6">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure6</object-id>
          <object-id content-type="arpha">CDAD19C7-9D73-5401-AF80-6C14CC808B01</object-id>
          <label>Figure 6.</label>
          <caption>
            <p>Size structure of crabs (separated by males and females) per season (summer, autumn, winter, spring) and gear type (crab wire pots and fyke nets).</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g006.jpg" id="oo_1534407.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534407</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="Spawning and fecundity" id="sec13">
        <title>Spawning and fecundity</title>
        <p>The distribution of ovigerous females per station and season is shown in Figure <xref ref-type="fig" rid="F7">7</xref>, as the percentage of presence or absence in the crab wire pots. The earliest ovigerous female was sampled at <abbrev xlink:title="Pellestrina">PELL</abbrev> in mid-April, while the latest were sampled at <abbrev xlink:title="southern Chioggia">CHS</abbrev> and <abbrev xlink:title="Pellestrina">PELL</abbrev> in mid-September. Significant differences were observed in the presence or absence of ovigerous females between seasons (<abbrev xlink:title="Generalized Linear Model">GLM</abbrev>, binomial family, <italic>p</italic> &lt; 0.001). Ovigerous females were primarily sampled during spring and summer with no significant differences (<italic>p</italic> = 0.949). Both spring and summer exhibit significant differences (<italic>p</italic> = 0.004; <italic>p</italic> = 0.010) and markedly greater odd presence compared to autumn. No ovigerous female was sampled during winter. Significant differences were also observed in the presence or absence of ovigerous females across stations (<italic>p</italic> = 0.005), with <abbrev xlink:title="Pellestrina">PELL</abbrev> showing significant differences with <abbrev xlink:title="Brenta River mouth">BR</abbrev> (Tukey HSD <italic>p</italic> = 0.017) and <abbrev xlink:title="northern Chioggia">CHN</abbrev> (<italic>p</italic> = 0.030). <abbrev xlink:title="southern Chioggia">CHS</abbrev> showed only slight but not significant differences with <abbrev xlink:title="Brenta River mouth">BR</abbrev> (<italic>p</italic> = 0.090) and <abbrev xlink:title="northern Chioggia">CHN</abbrev> (<italic>p</italic> = 0.160). No significant differences were detected between <abbrev xlink:title="Pellestrina">PELL</abbrev> and <abbrev xlink:title="southern Chioggia">CHS</abbrev> (<italic>p</italic> = 0.800) and between <abbrev xlink:title="Brenta River mouth">BR</abbrev> and <abbrev xlink:title="northern Chioggia">CHN</abbrev> (<italic>p</italic> = 0.980). No evidence of a significant interaction between station and season was detected by the model, suggesting that the effects of station and season on the presence of ovigerous females are largely independent of each other.</p>
        <fig id="F7">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure7</object-id>
          <object-id content-type="arpha">1611867B-97D0-5B54-B079-DB36433A205A</object-id>
          <label>Figure 7.</label>
          <caption>
            <p>Percentage of pots where ovigerous females were sampled (mean ± SE) per station (<abbrev xlink:title="Brenta River mouth">BR</abbrev>, <abbrev xlink:title="northern Chioggia">CHN</abbrev>, <abbrev xlink:title="southern Chioggia">CHS</abbrev>, <abbrev xlink:title="Pellestrina">PELL</abbrev>) and per season: summer (n pots = 30), autumn (n = 24), winter (n = 12), spring (n = 18).</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g007.jpg" id="oo_1534408.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534408</uri>
          </graphic>
        </fig>
        <p>The ovigerous females weight ranged from 112.99 g (12.51 <abbrev xlink:title="Total Carapace Width">TCW</abbrev> cm) to 308.50 g (17.80 <abbrev xlink:title="Total Carapace Width">TCW</abbrev> cm). The egg mass weight wet ranged from 10.16 to 55.50 g (average 30.27 ± 9.12 g), representing an average of 15.16 ± 2.69% of the total female body wet weight. The number of estimated eggs ranged from 518,717 to 4,106,743 (average 2,072,450 ± 745,464), but a high of 5,982,200 was recorded and excluded from the analyses as outlier. The average egg diameter of each egg mass ranged from 217.3 to 310.3 µm (average 251.4 ± 17.6 µm). No significant relationship was found between estimated egg numbers and the three periods within the reproduction season (spring, early summer and late summer) (One-Way ANOVA, <italic>p</italic> = 0.800) (Figure <xref ref-type="fig" rid="F8">8A</xref>, Table <xref ref-type="table" rid="T2">2</xref>) or between estimated egg numbers and sampling stations (One-Way ANOVA, <italic>p</italic> = 0.416). Conversely, a significant correlation was detected between estimated egg number and the maturation stage (<italic>p</italic> = 0.006) (Figure <xref ref-type="fig" rid="F8">8B</xref>, Table <xref ref-type="table" rid="T2">2</xref>), with Tukey post hoc test showing significant difference between early maturation and pre-hatching stages (<italic>p</italic> = 0.005). The average number of estimated eggs in the pre-hatching stage was 30.19% lower than in the early maturation stage. The average egg mass weight (g), the estimated egg number and the egg diameter (µm) per maturation stage are shown in Table <xref ref-type="table" rid="T1">1</xref>. Egg diameter did also show a significant dependence on the maturation stage (One-Way ANOVA, <italic>p</italic> &lt; 0.001), with significant differences detected by Tukey post hoc test for all pairwise (<italic>p</italic> &lt; 0.05).</p>
        <fig id="F8">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure8</object-id>
          <object-id content-type="arpha">F93D6A75-E3E7-5DD3-8185-065A2B38A8C7</object-id>
          <label>Figure 8.</label>
          <caption>
            <p>Boxplot of estimated number of eggs per period (<bold>A</bold>) and develop stage (<bold>B</bold>). Maximum, minimum and median values are shown for each sampling site; boxes represent first and third quartiles.</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g008.jpg" id="oo_1534409.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534409</uri>
          </graphic>
        </fig>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Average (± SD) egg mass weight (g) estimated egg number and egg diameter (µm) per maturation stage (early, intermediate and pre-hatching) and in total. The number of analysed crabs is also reported (n).</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <th rowspan="1" colspan="1">
                  <bold>Eggs Maturation Stage</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>n</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Egg Mass Weight (g)</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Estimated Egg Number</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Egg Diameter (µm)</bold>
                </th>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Early</td>
                <td rowspan="1" colspan="1">33</td>
                <td rowspan="1" colspan="1">31.08 ± 7.61</td>
                <td rowspan="1" colspan="1">2,330,196 ± 735,218</td>
                <td rowspan="1" colspan="1">240.0 ± 11.7</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Intermediate</td>
                <td rowspan="1" colspan="1">36</td>
                <td rowspan="1" colspan="1">30.83 ± 8.96</td>
                <td rowspan="1" colspan="1">2,034,355 ± 707,586</td>
                <td rowspan="1" colspan="1">254.2 ± 14.9</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Pre-hatching</td>
                <td rowspan="1" colspan="1">16</td>
                <td rowspan="1" colspan="1">27.31 ± 11.99</td>
                <td rowspan="1" colspan="1">1,626,563 ± 654,900</td>
                <td rowspan="1" colspan="1">268.6 ± 17.8</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Total</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>85</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>30.27 ± 9.12</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>2,072,450 ± 745,464</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>251.4 ± 17.6</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Relations between the egg mass weight (g), female crab weight (g) and estimated egg number were also explored. Results showed a positive correlation between female weight (W) and the egg mass weight (<abbrev xlink:title="egg mass weight">EggW</abbrev>), following the equation: <abbrev xlink:title="egg mass weight">EggW</abbrev> = 0.1633 × W – 2.1937, with adjusted R<sup>2</sup> = 0.6768 and <italic>p</italic> &lt; 0.001 (Figure <xref ref-type="fig" rid="F9">9A</xref>). Results also showed a positive correlation between female weight (W) and the estimated egg number (<abbrev xlink:title="estimated egg number">EggN</abbrev>) following the equation: <abbrev xlink:title="estimated egg number">EggN</abbrev> = 11939 × W – 300846 with adjusted R<sup>2</sup> = 0.5393 and <italic>p</italic> &lt; 0.001 (Figure <xref ref-type="fig" rid="F9">9B</xref>). Lastly, a positive correlation was also detected between egg mass weight (<abbrev xlink:title="egg mass weight">EggW</abbrev>) and the estimated egg number (<abbrev xlink:title="estimated egg number">EggN</abbrev>), following the equation: <abbrev xlink:title="estimated egg number">EggN</abbrev> = 60859 × <abbrev xlink:title="egg mass weight">EggW</abbrev> + 230450, with adjusted R<sup>2</sup> = 0.549 and <italic>p</italic> &lt; 0.001 (Figure <xref ref-type="fig" rid="F9">9C</xref>).</p>
        <fig id="F9">
          <object-id content-type="doi">10.3391/ai.2026.21.1.180751.figure9</object-id>
          <object-id content-type="arpha">0FD3DC28-5834-58BE-AC3C-73AC387E43C6</object-id>
          <label>Figure 9.</label>
          <caption>
            <p>Regression lines between <bold>A)</bold> crab weight (g) and egg mass weight (g); <bold>B)</bold> crab weight (g) and estimated egg number; <bold>C)</bold> egg mass weight (g) and estimated egg number.</p>
          </caption>
          <graphic xlink:href="aquaticinvasions-21-049_article-180751__-g009.jpg" id="oo_1534410.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1534410</uri>
          </graphic>
        </fig>
      </sec>
    </sec>
    <sec sec-type="Discussion" id="sec14">
      <title>Discussion</title>
      <sec sec-type="Spreading and distribution" id="sec15">
        <title>Spreading and distribution</title>
        <p>Data of abundance and distribution of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in four distinct aquatic habitats (two brackish, one freshwater and one coastal marine) in the area of Chioggia highlighted the magnitude of the outbreak of the species that occurred during spring and summer 2023, and its rapid and successful establishment. The blue crab was indeed found to be abundantly present in all the aquatic environments where samplings were carried out. The high significance of the three-way interaction (station:season:sex) highlights the complex distribution pattern of the species in an area where different aquatic habitats are present nearby and deeply connected between each other, showing that males and females have different space-time dynamic in the habitat use. The overall greater abundance of male specimens in the riverine station confirms their preference for lower salinity waters (<xref ref-type="bibr" rid="B30">Hines et al. 1987</xref>; <xref ref-type="bibr" rid="B66">Steele and Bert 1994</xref>). On the contrary, the greater abundance of females in marine environments, particularly during spring and summer, reflects the necessity of spawning eggs at higher salinities to ensure larval development (<xref ref-type="bibr" rid="B72">Van Engel 1958</xref>; <xref ref-type="bibr" rid="B57">Perry and McIlwain 1986</xref>; <xref ref-type="bibr" rid="B28">Hines 2003</xref>). The remarkably higher probability of encountering ovigerous females in the marine and in the outer lagoon stations compared to the riverine and the more confined lagoon stations detected in our study is a further confirmation of the occurrence of female’s migration to water with higher salinity for egg laying, as also supported by the finding of many seasonal significant variations of <abbrev xlink:title="catch per unit effort">CPUE</abbrev> between stations for females. Understanding this aspect of the blue crab’s life cycle, including the periods and sites of mating and females’ migration, may prove fundamental for species management via targeted, intense, and localized fishing, such as at river estuaries (<xref ref-type="bibr" rid="B10">Cilenti et al. 2016</xref>). Our findings about the distribution pattern of male and female crabs are consistent with the findings of other studies in newly invaded areas in the Mediterranean Sea (<xref ref-type="bibr" rid="B23">Glamuzina et al. 2021</xref>, <xref ref-type="bibr" rid="B24">2023</xref>; <xref ref-type="bibr" rid="B38">Kevrekidis et al. 2023</xref>; <xref ref-type="bibr" rid="B48">Marchessaux et al. 2024</xref>). Nevertheless, the presence of specimens of both sexes in all stations highlights the species’ high mobility and remarkable adaptability to diverse abiotic conditions (<xref ref-type="bibr" rid="B22">Gennaio et al. 2006</xref>; <xref ref-type="bibr" rid="B52">Nehring 2011</xref>). Moreover, it confirms that within our study area, the blue crab can find the habitats suitable to all stages of its life cycle. Furthermore, the close proximity of all these environments suggests this is a highly favourable area where to speed up the life cycle and increase fitness, enhancing a rapid and extensive expansion of the species (<xref ref-type="bibr" rid="B43">Mancinelli et al. 2017</xref>). This was also suggested for the Thermaikos Gulf in Greece (<xref ref-type="bibr" rid="B37">Kevrekidis and Antoniadou 2018</xref>). The short “river to sea” gradient represents a clear advantage compared to its native range where environments with all these different characteristics could only be found at long distances. For instance, in the Chesapeake Bay, females must undertake long migrations up to 200 km to brood eggs in the sea, which might only happen the year after mating (<xref ref-type="bibr" rid="B71">Turner et al. 2003</xref>; <xref ref-type="bibr" rid="B1">Aguilar et al. 2005</xref>; <xref ref-type="bibr" rid="B15">Epifanio 2019</xref>). On the contrary, in our study area, it is likely that most females can brood eggs the same year of mating, without the need of overwintering during migration from estuaries to the sea due to the very short distances. Moreover, the capture of juvenile individuals with fyke nets set within the lagoon, suggest that in this area the blue crab could also find suitable nursery habitats for the young crabs, as also stated by <xref ref-type="bibr" rid="B41">Lipcius et al. (2005)</xref> and <xref ref-type="bibr" rid="B15">Epifanio et al. (2019)</xref> about transitional waters. Indeed, these environments comprise numerous distinct habitats and ecological niches rich in resources and shelters (<xref ref-type="bibr" rid="B17">Franco et al. 2006</xref>; <xref ref-type="bibr" rid="B18">Franzoi et al. 2010</xref>; <xref ref-type="bibr" rid="B63">Scapin et al. 2022</xref>).</p>
      </sec>
      <sec sec-type="Condition factor" id="sec16">
        <title>Condition factor</title>
        <p>Although the blue crab was found to be abundantly present all over the study area, analysis of the relative condition factor (K<sub>n</sub>) reveals significant differences among specimens captured in different stations and seasons. The station has a strong overall effect, as both males and females captured at the riverine site exhibit a poorer condition compared to all other stations. Despite the blue crab is slightly more abundant at the riverine site, the lower K<sub>n</sub> might be caused by the high energy consumption for osmoregulation in a oligohaline environment (<xref ref-type="bibr" rid="B68">Tan and Van Engel 1966</xref>) or due to the lack of their favourite food source, bivalve molluscs (<xref ref-type="bibr" rid="B29">Hines 2007</xref>; <xref ref-type="bibr" rid="B59">Rady et al. 2018</xref>), abundant in lagoon and marine coastal habitats (<xref ref-type="bibr" rid="B8">Chiesa et al. 2025</xref>). The influence of seasons on K<sub>n</sub> turned out to be lower but still significant when related to the other factors. Specifically, in spring, females were in better conditions at sea compared to most of the other stations, possibly indicating that females who had accumulated more energy had already migrated to sea for reproduction (<xref ref-type="bibr" rid="B1">Aguilar et al. 2005</xref>; <xref ref-type="bibr" rid="B15">Epifanio 2019</xref>). Consistently, at riverine site males were in poorer condition in spring compared to summer, likely due to energy expenditure associated with mating. This process indeed generally occurs in oligo- and mesohaline regions of estuaries during the warm season (<xref ref-type="bibr" rid="B72">Van Engel 1958</xref>; <xref ref-type="bibr" rid="B28">Hines 2003</xref>; <xref ref-type="bibr" rid="B60">Ramach et al. 2009</xref>; <xref ref-type="bibr" rid="B15">Epifanio 2019</xref>) and requires long starvation in order to protect the females during their pubertal molt (<xref ref-type="bibr" rid="B72">Van Engel 1958</xref>; <xref ref-type="bibr" rid="B45">Millikin and Williams 1984</xref>; <xref ref-type="bibr" rid="B31">Jivoff 1997</xref>). The climatic conditions of the northern Adriatic Sea, particularly influenced by increasing global warming (<xref ref-type="bibr" rid="B13">da Costa et al. 2024</xref>), do probably also permit prolonged activity of the species, which, according to our findings, although reduced in winter, did not result entirely absent. Moreover, K<sub>n</sub> in winter was never detected to be lower compared to the other seasons. Year-round activity of the species is in contrast to its general inactivity status during colder periods in its native area (<xref ref-type="bibr" rid="B27">Hill et al. 1989</xref>; <xref ref-type="bibr" rid="B29">Hines 2007</xref>; <xref ref-type="bibr" rid="B15">Epifanio 2019</xref>), but consistent with findings from other Mediterranean countries, as reported for Greece (<xref ref-type="bibr" rid="B37">Kevrekidis and Antoniadou 2018</xref>; <xref ref-type="bibr" rid="B38">Kevrekidis et al. 2023</xref>), Croatia (<xref ref-type="bibr" rid="B23">Glamuzina et al. 2021</xref>) and France (<xref ref-type="bibr" rid="B48">Marchessaux et al. 2024</xref>), where the blue crab was also sampled all over the year. The longer activity period of the species is likely responsible for more rapid growth of individuals, which have more time to feed and develop, accelerating the life cycle compared to its native area.</p>
      </sec>
      <sec sec-type="Spawning and fecundity" id="sec17">
        <title>Spawning and fecundity</title>
        <p>Fecundity of the blue crab might also benefit from the longer activity period, being reproductive for almost six months. Coupling our samples with the reports of local fishermen (F. Riccato, personal communication) ovigerous females were collected from late March to mid-September. The length of egg brooding period is consistent with other recent studies conducted in the Mediterranean Sea (<xref ref-type="bibr" rid="B38">Kevrekidis et al. 2023</xref>; <xref ref-type="bibr" rid="B73">Vivas et al. 2025</xref>), and together with the advantage of females not undertaking long migrations, suggests the possibility that a female, once mated, may spawn eggs two or three times within a single reproductive season. This hypothesis is supported by the population structures, as different cohorts of juvenile crabs were caught in both spring and autumn. The lack of samplings with fyke nets during summer represents a limitation of our study, as our results suggest that they result more suitable for juvenile crab collection than traps; nevertheless, it is likely that juveniles are present in the lagoon during the whole warm period, from spring to autumn. At the end of the reproductive season, females might face high mortality, as during autumn they were significantly less abundant than males at the coastal marine station and at both lagoon stations and did often present lower abundances in autumn compared with the other seasons. This hypothesis finds support in <xref ref-type="bibr" rid="B29">Hines et al. (2007)</xref>, stating that usually mature females do not move back to lower salinity zones of estuaries. On the contrary, male specimens might survive longer, as total carapace width of the most abundant size class showed a progressive increase from an average of 14.22 ± 1.44 cm in summer 2023 to 16.28 ± 1.53 cm in spring 2024. This could represent a consequence of the 2023 outbreak, as in that year older age class crabs were rare and only became abundant the following year, after the demographic explosion and the high availability of food in the newly invaded area (<xref ref-type="bibr" rid="B8">Chiesa et al. 2025</xref>). The average number of eggs per mass estimated in our study, slightly over 2 million, is consistent with what is usually reported by studies in its native area (<xref ref-type="bibr" rid="B57">Perry and McIlwain 1986</xref>; <xref ref-type="bibr" rid="B33">Jivoff et al. 2007</xref>; <xref ref-type="bibr" rid="B15">Epifanio 2019</xref>). The number of eggs per mass varied greatly, from half a million to over 4 million, with a peak of almost 6 million, reflecting the wide range of sizes of ovigerous females, from 12.51 cm (112.99 g) to 17.80 cm (308.50 g) and highlights the high reproductive potential of the species in the area. In other areas of the Mediterranean Sea, ovigerous females, ranged from 10.10 cm (79 g) to 15.60 cm (180 g), with a consequently lower number of laid eggs (1.65 million) (<xref ref-type="bibr" rid="B47">Marchessaux et al. 2023b</xref>). The reasons why in our study area females reach maturity at larger sizes could be related to the high productiveness and wide food availability of the Northern Adriatic Sea (<xref ref-type="bibr" rid="B4">Barausse et al. 2009</xref>; <xref ref-type="bibr" rid="B18">Franzoi et al. 2010</xref>). The number of eggs laid by ovigerous females in the Chioggia area throughout the reproductive season was constant from April-May to August-September. Generally, the first egg laying is the most abundant, then the number of eggs tends to decrease progressively in subsequent brooding (<xref ref-type="bibr" rid="B15">Epifanio 2019</xref>). The high number of eggs per mass in our study area lets hypothesize that new females start to brood at different times during the reproductive period, extending it. On the other hand, the number of eggs decreases with the advancement of egg development, as eggs ready to hatch were on average 30% less than eggs in an earlier developmental stage. The same finding was also reported by <xref ref-type="bibr" rid="B33">Jivoff et al. (2007)</xref> referring to numerous factors for the loss of embryos during development, which usually takes around two weeks to be accomplished (<xref ref-type="bibr" rid="B53">Newcombe 1945</xref>; <xref ref-type="bibr" rid="B72">Van Engel 1958</xref>; <xref ref-type="bibr" rid="B69">Tilburg et al. 2008</xref>). Lack of embryo adhesion to the pleopods, mechanical losses, embryo predation, disease, and parasites are most of the most frequent factors. Significant linear relationships also demonstrated that egg mass and brooded eggs number are directly proportional to female weight, confirming that larger females are also more fecund, as previously reported by <xref ref-type="bibr" rid="B73">Vivas et al. (2025)</xref> in Spain. Similarly, larger males could also improve the species’ fecundity by better protecting the females during copulation and by producing and ejaculates more sperm, that females store to fertilize their lifetime production of eggs (<xref ref-type="bibr" rid="B32">Jivoff et al. 2003</xref>), enhancing the need of understanding growing mechanism of the species in the area.</p>
      </sec>
    </sec>
    <sec sec-type="Conclusions" id="sec18">
      <title>Conclusions</title>
      <p>In conclusion, the findings of our study highlight the massive spread of the blue crab <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in the Northern Adriatic Sea, in an area comprising diverse aquatic environments at short distances: lagoon, river estuary and marine coast, all located between 2 and 9 km from each other. Spatial and seasonal distribution of males and females appeared to be strongly connected with the reproductive cycle of the blue crab. Therefore, the proximity of all these environments represents an extremely crucial factor in favouring the rapid successful establishment of the species, which can take advantage of all the different habitats to foster a faster and more efficient life cycle compared to its native range. Based on our results, the effect of the small spatial scale “ from river to sea” gradient may be equivalent or even stronger than other factors favouring the invasive success of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">C.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic>. This study represents a relevant starting point for further investigations in the area; more information are, in fact, necessary to provide a better understanding of the species biological and ecological characteristics in Northern Adriatic, such as its trophic role and importance of other drivers, such as temperature rise, larval connectivity and food availability. While the complete eradication of the species is unlikely due to its high adaptability and mobility, our findings provide one of the first insights that could be helpful for the development of targeted management strategies, such as intensive and localized fishing, and for understanding the invasive success of this allochthonous species on the Northern Adriatic ecosystems.</p>
    </sec>
    <sec sec-type="Acknowledgments" id="sec19">
      <title>Acknowledgments</title>
      <p>The authors are grateful to Giuseppe Cherubini (Veneto Region), Mauro Armelao and Walter Salvagno (Fondazione della Pesca di Chioggia) and the fishermen who supported the blue crab harvesting: Andrea Salvagno, Mattia Salvagno, Ondino Crosara, Roberto Scarpa. The Authors are grateful to the Editor and the reviewers for their constructive feedback.</p>
    </sec>
    <sec sec-type="Funding declaration" id="sec20">
      <title>Funding declaration</title>
      <p>The present data were collected in the framework of the projects listed below with the contribution of the Private and Public Bodies in bold. The funders had no role in data collection and analysis, and preparation of the manuscript. All the listed funders participated in the study design and approved the decision to submit the manuscript for publication.</p>
      <list list-type="bullet">
        <list-item>
          <p>“Monitoraggio della distribuzione e abbondanza della specie alloctona <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in Laguna di Chioggia [Monitoring the distribution and abundance of the invasive species <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in the Chioggia Lagoon.]” between Fondazione della Pesca di Chioggia and Ca’ Foscari University of Venice (Department of Environmental Sciences, Informatics and Statistics- DAIS) n. 57/2023 Prot.54475 - 15/02/2023.
                </p>
        </list-item>
        <list-item>
          <p>“Monitoraggio della distribuzione e abbondanza della specie alloctona <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in Laguna di Chioggia: impatti sulla pesca tradizionale ed indicazioni gestionali [Monitoring the distribution and abundance of the invasive species <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in the Chioggia Lagoon: impacts on traditional fishing and management measures]” between Veneto Region and Ca’ Foscari University of Venice (Department of Environmental Sciences, Informatics and Statistics- DAIS) n 425/2022 Prot n. 128484 - 30/11/2022.
                </p>
        </list-item>
        <list-item>
          <p>“Continuazione del monitoraggio della distribuzione e abbondanza della specie alloctona <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in Laguna di Chioggia. Valutazione degli effetti del granchio blu sugli attrezzi e sulle rese alieutiche della pesca tradizionale e della piccola pesca costiera [Continuing the monitoring of the distribution and abundance of the invasive species <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Callinectes">Callinectes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sapidus">sapidus</tp:taxon-name-part></tp:taxon-name></italic> in the Chioggia Lagoon. Evaluation of the blue crab’s effects on the gear and fishing yields of traditional and small-scale coastal fisheries.]” between Fondazione della Pesca di Chioggia and Ca’ Foscari University of Venice (Department of Environmental Sciences, Informatics and Statistics- DAIS) n. 68/2024 Prot. n. 73241 - 18/03/2024.
                </p>
        </list-item>
      </list>
    </sec>
    <sec sec-type="Author contribution" id="sec21">
      <title>Author contribution</title>
      <p>Marco Boschiero: sample design and methodology, investigation and data collection, data analysis and interpretation, writing – original draft; Chiara Facca: sample design and methodology, writing – review &amp; editing; Francesco Cavraro: sample design and methodology, writing – review &amp; editing; Simone Redolfi Bristol: investigation and data collection, writing – review &amp; editing; Anna Gavaioli: writing – review &amp; editing; Federico Riccato: investigation and data collection, writing – review &amp; editing; Matteo Zucchetta: data analysis and interpretation, writing – review &amp; editing; Piero Franzoi: Research conceptualization, sample design and methodology, writing – review &amp; editing, funding provision.</p>
    </sec>
    <sec sec-type="Ethics and permits" id="sec22">
      <title>Ethics and permits</title>
      <p>All research pertaining to this article did not require ethics approval. All research pertaining to this article was allowed by the research permit Decreto n. 50 - 24/01/2023 issued by Veneto Region (Italy).</p>
    </sec>
    <sec sec-type="Data availability" id="sec23">
      <title>Data availability</title>
      <p>Species georeferenced records are available at the European Alien Species Information Network: <ext-link xlink:href="https://easin.jrc.ec.europa.eu/easin/RJD/Download/37b1faca-07d0-46d9-a05c-cd4aaf654bbf" ext-link-type="uri">https://easin.jrc.ec.europa.eu/easin/RJD/Download/37b1faca-07d0-46d9-a05c-cd4aaf654bbf</ext-link>.</p>
    </sec>
  </body>
  <back>
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    <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">10.3391/ai.2026.21.1.180751.suppl1</object-id>
        <object-id content-type="arpha">9921E53E-C5E1-5317-93B2-BBF38B1EB483</object-id>
        <label>Supplementary material 1</label>
        <caption>
          <p>Suppl. table SS1</p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>xlsx</p>
        </statement>
        <statement content-type="notes">
          <label>Explanation note</label>
          <p>Regression equations with corresponding R<sub>2</sub> values and p-values for all pairs of morphometric parameters tested for females and males; (b) coefficients are reported in red for negative allometry, in green for positive allometry and in blue for isometry. The results of the ANCOVA test, which compared the slopes of the regression lines between sexes, are also provided.</p>
        </statement>
        <media xlink:href="aquaticinvasions-21-049_article-180751__-s001.xlsx" mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.spreadsheetml.sheet" position="float" orientation="portrait" id="oo_1534411.xlsx">
          <uri content-type="original_file">https://binary.pensoft.net/file/1534411</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"> Marco Boschiero, Chiara Facca, Francesco Cavraro, Simone Redolfi Bristol, Anna Gavioli, Federico Riccato, Matteo Zucchetta, Piero Franzoi</attrib>
      </supplementary-material>
      <supplementary-material id="S2" position="float" orientation="portrait" xlink:type="simple">
        <object-id content-type="doi">10.3391/ai.2026.21.1.180751.suppl2</object-id>
        <object-id content-type="arpha">CC083599-D606-5A89-9E53-BEC6293F72E5</object-id>
        <label>Supplementary material 2</label>
        <caption>
          <p>Suppl. table SS2</p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>xlsx</p>
        </statement>
        <statement content-type="notes">
          <label>Explanation note</label>
          <p>Min, max and mean ± SD values of blue crab’s total carapace width (<abbrev xlink:title="Total Carapace Width">TCW</abbrev>) caught with wire pots and fyke nets across the four sampling seasons</p>
        </statement>
        <media xlink:href="aquaticinvasions-21-049_article-180751__-s002.xlsx" mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.spreadsheetml.sheet" position="float" orientation="portrait" id="oo_1534412.xlsx">
          <uri content-type="original_file">https://binary.pensoft.net/file/1534412</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"> Marco Boschiero, Chiara Facca, Francesco Cavraro, Simone Redolfi Bristol, Anna Gavioli, Federico Riccato, Matteo Zucchetta, Piero Franzoi</attrib>
      </supplementary-material>
      <supplementary-material id="S3" position="float" orientation="portrait" xlink:type="simple">
        <object-id content-type="doi">10.3391/ai.2026.21.1.180751.suppl3</object-id>
        <object-id content-type="arpha">AF8220D4-F71E-5B45-A2C5-A3636903C78F</object-id>
        <label>Supplementary material 3</label>
        <caption>
          <p>Residuals and normality diagnostics of the most complex <abbrev xlink:title="Generalized Linear Model">GLM</abbrev></p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>png</p>
        </statement>
        <statement content-type="notes">
          <label>Explanation note</label>
          <p><bold>figure S1</bold>: Residuals and normality diagnostics of the most complex <abbrev xlink:title="Generalized Linear Model">GLM</abbrev><bold>A)</bold> negative binomial family <abbrev xlink:title="Generalized Linear Model">GLM</abbrev> for crabs’ distribution; <bold>B)</bold> gamma family <abbrev xlink:title="Generalized Linear Model">GLM</abbrev> for the relative condition factor; <bold>C)</bold> binomial presence/absence <abbrev xlink:title="Generalized Linear Model">GLM</abbrev> for ovigerous females’ distribution.</p>
        </statement>
        <media xlink:href="aquaticinvasions-21-049_article-180751__-s003.png" mimetype="image" mime-subtype="png" position="float" orientation="portrait" id="oo_1534413.png">
          <uri content-type="original_file">https://binary.pensoft.net/file/1534413</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"> Marco Boschiero, Chiara Facca, Francesco Cavraro, Simone Redolfi Bristol, Anna Gavioli, Federico Riccato, Matteo Zucchetta, Piero Franzoi</attrib>
      </supplementary-material>
    </sec>
  </back>
</article>
