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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2023.1260431</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Tree-rings analysis to reconstruct atmospheric mercury contamination at a historical mining site</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Baroni</surname>
<given-names>Davide</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1563908"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ancora</surname>
<given-names>Stefania</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1247158"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Franzaring</surname>
<given-names>J&#xfc;rgen</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Loppi</surname>
<given-names>Stefano</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1182603"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Monaci</surname>
<given-names>Fabrizio</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2379435"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Physical Sciences, Earth and Environment, University of Siena</institution>, <addr-line>Siena</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Landscape and Plant Ecology, University of Hohenheim</institution>, <addr-line>Stuttgart</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Life Sciences, University of Siena</institution>, <addr-line>Siena</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Daniela Baldantoni, University of Salerno, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Paul Sheppard, University of Arizona, United States; Tereza Novakova, Institute of Geology (ASCR), Czechia; Giulia Maisto, University of Naples Federico II, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Fabrizio Monaci, <email xlink:href="mailto:fabrizio.monaci@unisi.it">fabrizio.monaci@unisi.it</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1260431</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Baroni, Ancora, Franzaring, Loppi and Monaci</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Baroni, Ancora, Franzaring, Loppi and Monaci</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Mercury (Hg) is a global environmental concern due to its toxicity (especially high in methylated form) and the long-range distribution of its gaseous elemental form (GEM). Hg-contaminated areas, such as abandoned mining sites, pose intrinsic difficulties for their management and heavy monitoring costs. In these environments, plant-based solutions may play a key role in the ecosystem quality assessment and support remediation strategies, combining reliability and cost-effectiveness. In this study, we adopted a biomonitoring approach by using tree rings of four different species collected in the proximity of the mining-metallurgical area of Abbadia San Salvatore, central Italy, a major former Hg mining district whose reclamation is currently in progress. Our dendrochemical analysis was aimed at identifying the historical changes of local atmospheric Hg contamination and at singling out, for the first time in the study area, other potentially toxic elements (PTEs) associated with the past mining activity. Collected cores dated back to early as 1940 and provided the temporal patterns of atmospheric Hg emission vs the produced liquid quantities, so reconstructing the historical impact of the mining site on nearby terrestrial ecosystems and resident human population. Current GEM contamination was found about twenty times lower than that of the fully operational mine periods. From a first survey on other PTEs, thallium (Tl) and lead (Pb) appeared to be potentially associated with the mining activity, thus suggesting new working assumptions for further dendrochemical analyses and for the inclusion of Pb in human biomonitoring surveys of the Mt. Amiata area, actually not present in the control list. The results prompt a more thorough assessment by tracking for a longer time span a critical site that is an ideal open-field lab to study the ecophysiology of different tree species in relation to environmental behavior of PTEs for better-assessing wildlife and human exposures.</p>
</abstract>
<kwd-group>
<kwd>tree rings</kwd>
<kwd>mercury</kwd>
<kwd>thallium</kwd>
<kwd>lead</kwd>
<kwd>mining</kwd>
<kwd>contaminated site</kwd>
<kwd>reclamation</kwd>
<kwd>biomonitoring</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="6"/>
<word-count count="2995"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Functional Plant Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Mercury (Hg) is especially capable of pervasive environmental impacts, being toxic to humans and globally distributed through its atmospheric predominant (approx. 95%) and long-lasting (6&#x2013;18 months) gaseous elemental form (GEM; <xref ref-type="bibr" rid="B12">Gworek et&#xa0;al., 2017</xref>). The inputs to terrestrial ecosystems are mediated by wet and dry deposition, the latter distinguished into deposition to non-vegetation land surfaces (soils, snow and water) and direct vegetation uptake of Hg<sup>2+</sup> (10%) and Hg<sup>0</sup> (90%). GEM assimilation by vegetation is considered the predominant process (1,180&#x2013;1,410 Mg/yr), thus representing the main single terrestrial removal pathway of atmospheric Hg (<xref ref-type="bibr" rid="B31">Zhou et&#xa0;al., 2021</xref>).</p>
<p>With the increasing reckoning of the critical importance of vegetation in terrestrial Hg cycling, the distribution patterns in plant parts (e.g., leaves, litterfall, woody tissues) of different functional groups (e.g., grassland plants, shrubs, trees; but also lichens and mosses) has become a research priority to investigate Hg dynamics globally (<xref ref-type="bibr" rid="B30">Zhou and Obrist, 2021</xref>). Among these biomonitoring methods, tree rings analysis has a special use for understanding how Hg emissions to the atmosphere have changed over decades or even centuries (<xref ref-type="bibr" rid="B7">Clackett et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B13">McLagan et&#xa0;al., 2022</xref>). In fact, concentrations in tree rings serve as proxies for estimating the magnitude of a plant&#x2019;s Hg assimilation through time, useful for the retrospective tracking of air Hg contamination at a specific area (<xref ref-type="bibr" rid="B11">Gustin et&#xa0;al., 2022</xref>).</p>
<p>In this study, we used tree rings as archives of atmospheric Hg emissions at Abbadia San Salvatore, in Mt. Amiata, central Italy, a former Hg mining district established since the antiquity (900-700 BC) on a vast belt of Hg mineralization (cinnabar, HgS), and one of the main global manufacturers of liquid Hg for much of the 20<sup>th</sup> century. Hg production in Abbadia S.S. officially ceased in 1984, and since then the site, and especially the smelting plants therein, have continued to be significant sources of GEM at the global scale (80-150&#xa0;kg GEM/year; <xref ref-type="bibr" rid="B14">McLagan et&#xa0;al., 2019</xref>). Through analysis of tree rings from four different species, we aimed to identify the temporal patterns of atmospheric Hg emission vs the produced quantities to reconstruct the historical impact of the mining site on nearby terrestrial ecosystems and resident population. In a first attempt to single out possible tracers of local elemental contamination, other potentially toxic elements (PTEs) that could be associated with the mining-metallurgical activities in Abbadia S.S. were also included in the analysis.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Method</title>
<p>GEM concentrations map of the mining site of Abbadia S.S. and the nearby urban area, recently produced by using passive samplers (<xref ref-type="bibr" rid="B14">McLagan et&#xa0;al., 2019</xref>), was taken in this study as the main reference for sampling design. Sampling sites (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) were selected considering GEM dispersal from the metallurgical plant, the hotspot of contamination in the area (<xref ref-type="bibr" rid="B14">McLagan et&#xa0;al., 2019</xref>). From the latter, the selected sampling sites were at a distance of 340-500&#xa0;m in zones where it was possible to locate trees of four species: maple (<italic>Acer pseudoplatanus</italic>), pine (<italic>Pinus nigra</italic>), chestnut (<italic>Castanaea sativa</italic>) and linden (<italic>Tilia cordata</italic>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Sampling sites of tree cores in the area of the Mine of Abbadia San Salvatore (Google Earth) and superimposed representation of the distribution of time-weighted average concentrations of GEM as reported by <xref ref-type="bibr" rid="B14">McLagan et&#xa0;al., 2019</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1260431-g001.tif"/>
</fig>
<p>Tree cores were collected in October 2022 using a 400&#xa0;mm long Hagl&#xf6;f increment borer, having a 5.15&#xa0;mm diameter. Two cores from each tree were taken from the east and west sides of the trunk. During sampling, cleaning actions were put in place to avoid any potential contamination (e.g. operators were always using latex gloves, and the borer was washed with Milli-Q water and blown drying with canned air prior to use and after each sampling). After collection, each core was stored in a 600&#xa0;mm long 10&#xa0;mm diameter PVC pipe which was sealed with a rubber socket cap on each end.</p>
<p>In the laboratory, samples were stored in a freezer at -20&#xb0;C and later dried at room temperature for a week. After cross-dating the cores with standard dendrochronological methods, ring widths were measured with a dissecting Leica microscope; starting from the outside towards the center, the cores were finally cut into 3-year segments for linden and into 5-year segments for the other species (3-year the innermost chestnut segment) and lyophilized in a LIO 5Pascal (t = 24&#xa0;h, T = -49,5&#xb0;C, P = 0,125 mbar) prior to analysis to achieve complete dryness. Total concentrations of Hg and 13 other elements, namely arsenic (As), boron (B), cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), manganese (Mn), nickel (Ni), lead (Pb), antimony (Sb), thallium (Tl), vanadium (V) and zinc (Zn) of each core segment were determined at the Core Facility - CFH of the University of Hohenheim by using an inductively coupled plasma mass spectrometer (ICP-MS, NexION 300X, PerkinElmer) after mineralization with HNO<sub>3</sub> and H<sub>2</sub>O<sub>2</sub> in a microwave digestion unit (UltraCLAVEIII, MLS GmbH). Before ICP-MS analysis, L-Cysteine was added to all standards, samples and rinse solution to prevent the memory effects of Hg. To fulfill quality control requirements, routine procedural blanks, rhodium ICP standard solution as internal standards together with certified reference materials (1547 &#x201c;Peach Leaves&#x201d; and 1573a &#x201c;Tomato Leaves&#x201d; from NIST, Gaithersburg, USA and n&#xb0; 62 &#x201c;Olive Leaves&#x201d; from BCR, Bruxelles, Belgium) were used. Results of each batch of 24 samples were accepted only if data obtained from the certified reference materials were within the uncertainty range of the certified values (intervals with 95% confidence). Analytical precision from 6 replicate of certified reference materials, subjected to the same procedure as the wood samples, ranged from 2% for Cd to 15% for As. Concentrations of elements were expressed as mg/kg on a dry weight basis.</p>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>Collected tree cores dated back to as early as the year 1942 for linden, 1960 for chestnut, and 1978 for pine and maple. In <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> the overall concentrations of Hg and the other trace elements determined in tree ring core segments were reported. Being always below detection limits, Sb data is not included in the table. Among the analyzed elements, As, Cd and Co were very low in tree rings from Abbadia S.S., with median concentrations of 0.03 &#x2013; 0.04 mg/kg or below the DL, irrespectively of the analyzed species. Also, Tl concentrations were generally negligible except for linden and maple cores, which showed concentrations up to 0.14-0.15 mg/kg. Overall Hg concentrations in core segments of tree species were considerable as they varied from the DL (0.05 mg/kg) up to the maximum level of 3.37 mg/kg found in the linden tree core.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Mercury and PTEs concentrations (median, min-max; mg/kg) in tree rings from stands of four species (<italic>A. pseudoplatanus</italic>, n=11; <italic>P. nigra</italic>, n=9; <italic>C. sativa</italic>, n=13; <italic>T. cordata</italic>, n=27) collected from the urban area of Abbadia S.S.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center" rowspan="2"/>
<th valign="middle" colspan="2" align="center">Maple (<italic>A. pseudoplatanus</italic>)</th>
<th valign="middle" colspan="2" align="center">Pine (<italic>P. nigra</italic>)</th>
<th valign="middle" colspan="2" align="center">Chestnut (<italic>C. sativa</italic>)</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Linden (<italic>T. cordata</italic>)</th>
</tr>
<tr>
<th valign="middle" align="center">median</th>
<th valign="middle" align="center">min-max</th>
<th valign="middle" align="center">median</th>
<th valign="middle" align="center">min-max</th>
<th valign="middle" align="center">median</th>
<th valign="middle" align="center">min-max</th>
<th valign="middle" align="center">median</th>
<th valign="middle" align="center">min-max</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Hg</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" align="center">0.05</td>
<td valign="middle" align="center">&lt;DL-0.47</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">&lt;DL-1.01</td>
<td valign="middle" align="center">1.39</td>
<td valign="middle" align="center">0.16-3.37</td>
</tr>
<tr>
<td valign="middle" align="center">As</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.05</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.04</td>
</tr>
<tr>
<td valign="middle" align="center">B</td>
<td valign="middle" align="center">5.09</td>
<td valign="middle" align="center">3.64-8.94</td>
<td valign="middle" align="center">3.49</td>
<td valign="middle" align="center">2.84-3.73</td>
<td valign="middle" align="center">7.17</td>
<td valign="middle" align="center">5.92-12.5</td>
<td valign="middle" align="center">7.54</td>
<td valign="middle" align="center">5.83-8.15</td>
</tr>
<tr>
<td valign="middle" align="center">Cd</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">0.03-0.04</td>
</tr>
<tr>
<td valign="middle" align="center">Co</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.03</td>
<td valign="middle" align="center">0.04</td>
<td valign="middle" align="center">0.03-0.07</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.20</td>
</tr>
<tr>
<td valign="middle" align="center">Cr</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" align="center">0.01-3.26</td>
<td valign="middle" align="center">0.68</td>
<td valign="middle" align="center">0.20-2.53</td>
<td valign="middle" align="center">2.27</td>
<td valign="middle" align="center">1.10-5.39</td>
<td valign="middle" align="center">1.57</td>
<td valign="middle" align="center">0.44-18.4</td>
</tr>
<tr>
<td valign="middle" align="center">Cu</td>
<td valign="middle" align="center">0.71</td>
<td valign="middle" align="center">0.40-1.99</td>
<td valign="middle" align="center">0.66</td>
<td valign="middle" align="center">0.56-1.12</td>
<td valign="middle" align="center">1.14</td>
<td valign="middle" align="center">0.90-7.08</td>
<td valign="middle" align="center">1.22</td>
<td valign="middle" align="center">1.09-2.75</td>
</tr>
<tr>
<td valign="middle" align="center">Mn</td>
<td valign="middle" align="center">0.39</td>
<td valign="middle" align="center">0.22-1.18</td>
<td valign="middle" align="center">2.23</td>
<td valign="middle" align="center">1.85-3.98</td>
<td valign="middle" align="center">2.84</td>
<td valign="middle" align="center">1.56-6.04</td>
<td valign="middle" align="center">2.08</td>
<td valign="middle" align="center">1.21-4.41</td>
</tr>
<tr>
<td valign="middle" align="center">Ni</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">0.02-0.63</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.10-0.92</td>
<td valign="middle" align="center">0.54</td>
<td valign="middle" align="center">0.34-1.12</td>
<td valign="middle" align="center">0.52</td>
<td valign="middle" align="center">0.20-5.73</td>
</tr>
<tr>
<td valign="middle" align="center">Pb</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.07</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.04</td>
<td valign="middle" align="center">0.09</td>
<td valign="middle" align="center">0.05-0.18</td>
<td valign="middle" align="center">0.17</td>
<td valign="middle" align="center">0.08-0.25</td>
</tr>
<tr>
<td valign="middle" align="center">Tl</td>
<td valign="middle" align="center">0.05</td>
<td valign="middle" align="center">&lt;DL-0.15</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" colspan="2" align="center">&lt;DL</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">0.03-0.14</td>
</tr>
<tr>
<td valign="middle" align="center">V</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.10</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.05</td>
<td valign="middle" align="center">0.05</td>
<td valign="middle" align="center">&lt;DL-0.23</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">&lt;DL-0.43</td>
</tr>
<tr>
<td valign="middle" align="center">Zn</td>
<td valign="middle" align="center">1.78</td>
<td valign="middle" align="center">1.12-14.5</td>
<td valign="middle" align="center">5.90</td>
<td valign="middle" align="center">4.79-8.95</td>
<td valign="middle" align="center">23.2</td>
<td valign="middle" align="center">11.6-39.3</td>
<td valign="middle" align="center">4.95</td>
<td valign="middle" align="center">2.57-25.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT1_1">
<p>DL, Detection limits.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The Principal Component Analysis (PCA) applied to the transformed and centered elements&#x2019; datasets singled out three principal components (PCs) with eigenvalues greater than 1 (Kaiser criterion). Sb, Cd, and As were excluded from the analysis, since data of these elements were mostly (&gt; 60%) below the detection limits. The first two components (total variance 62.4%) of elements concentrations are shown as biplotted vectors together with individual data (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Most variables (and especially Cr, Ni, V, and Cu) were correlated with the first PC, while PC2 had the highest loadings for Hg, Tl, and Pb. Despite contrasting Hg concentrations in different cores, Hg showed similar temporal trends. In <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> Hg concentrations in tree rings of linden, chestnut and pine trees are compared with the data of liquid Hg manufactured in the mining district of Mt. Amiata, including the largest contribution from Abbadia S.S. mining complex (<xref ref-type="bibr" rid="B25">Segreto, 1991</xref>; <xref ref-type="bibr" rid="B8">Forconi, 2011</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Projections of concentration data from tree ring segments in the vector space defined by PCA.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1260431-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Total Hg concentrations in core segments collected from the linden tree (3-years segments) and from chestnut and pine trees (5-years segments) compared with the trend of liquid Hg tons produced in the mining district of Mt. Amiata (years 1942-2022); Hg produced quantities (<xref ref-type="bibr" rid="B25">Segreto, 1991</xref>; <xref ref-type="bibr" rid="B8">Forconi, 2011</xref>) were averaged for the corresponding time intervals of the segments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1260431-g003.tif"/>
</fig>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our findings showed a consistent relationship between the trend of Hg accumulation in wood and the metallurgical activity, taken as a reliable proxy of GEM emissions from the mining site (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). It has been estimated that approx. 8,000 tons of Hg have been released into the atmosphere by the metallurgical plants of Abbadia S.S. between 1943 and 1973 (<xref ref-type="bibr" rid="B5">Bombace et&#xa0;al., 1973</xref>). The highest Hg concentrations were found in tree rings from just after WWII and the 1960s. After this period of intense industrial activity, the mine experienced years of uninterrupted crisis which led to an unrelenting decrease in production, up to the complete closure in 1984. Hg contents in tree rings reflected well the reduction of Hg emissions linked to the crisis of the 1970s and indicated the actual levels of pollution, attributable to the abandoned mining-smelting plants (decade 2012-2022), currently under clean up for a complete remediation (<xref ref-type="bibr" rid="B17">Monaci et&#xa0;al., 2023</xref>). Linden tree data (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) show current levels of atmospheric Hg emission from the Abbadia S.S. mine site are at least twenty times lower than those of the years when the plant was fully operational. The temporal trends of chestnut and pine data generally agree with those observed for linden (albeit the comparison is only starting from the 1960s for chestnut and from the late 1970s for pine) and the progressive reduction of the activities at Abbadia S.S. mine of this period is reflected by decreasing of Hg contents in tree rings of all species. Concentrations of Hg in chestnut and pine for corresponding timespans (i.e. 1978-82 and 1983-87 segments; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) are almost identical, while they are remarkably lower (by a factor 3, at least) than those in corresponding segments of linden tree. Species-specific differences influencing stomatal uptake of Hg and its subsequent phloem translocation, including the expected phloem-to-xylem translocation, as well as the different duration of the vegetation period are thought the main factors that ultimately affect the levels of this metal in tree rings (<xref ref-type="bibr" rid="B10">Ga&#x10d;nik and Gustin, 2023</xref>). With regard to Hg assimilation in plant leaves, <xref ref-type="bibr" rid="B21">Pleijel et&#xa0;al. (2021)</xref> found large species-specific differences and a negative relationship between leaf-area-based Hg concentration and specific leaf area (SLA), while mass-based Hg concentration featured a somewhat weaker positive relationship with SLA. In this study, however, ecophysiological differences in Hg assimilation and retention among the different tree species (one conifer and three angiosperms) do not appear as crucial as the locations of the sampled stands. As it can be observed in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> from the GEM dispersion around Abbadia S.S. mine, the linden tree is likely subjected to high atmospheric concentrations of Hg, being downwind of the metallurgical facilities. This is not the case for the chestnut and pine trees that, despite being close (~ 500&#xa0;m) to the source of contamination, appear less affected by GEM contamination. In a comprehensive study conducted in the Mt. Amiata area, <xref ref-type="bibr" rid="B9">Fornasaro et&#xa0;al. (2023)</xref> collected stem discs from chestnuts located at ~2.5 km to the North-west of Abbadia S.S. mine, whose rings had much lower Hg concentrations (9.3-237 ng/g) than those of the chestnut tree of our study. In continuity with the present preliminary survey, further dendrochemical analyses of different species are in progress in the area to extend temporal trends to pre-industrial times and compare Hg contamination with the results of a long-term monitoring, currently under process since 2015, by using GEM passive samplers and <italic>in situ</italic> and transplanted lichens (<xref ref-type="bibr" rid="B18">Monaci et&#xa0;al., 2022</xref>).</p>
<p>PCA analysis allowed for distinguishing Hg, Tl, and Pb from the other PTEs, suggesting a common origin of these elements&#x2019; contents in tree rings. Several studies demonstrated the accumulation pathway via foliage of PTEs emitted by various industrial activities (<xref ref-type="bibr" rid="B28">Wright et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B20">Odabasi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B2">Austruy et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B1">Arteau et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B27">Wang et&#xa0;al., 2022</xref>) and, in a first attempt to contextualize our data, Tl and Pb may have had environmental behaviors like those of Hg, at least during ore smelting activities. Polymetallic sulfide mineralizations are present in association with cinnabar deposits of Mt. Amiata and pyrite (FeS<sub>2</sub>) is ubiquitous, and locally abundant (<xref ref-type="bibr" rid="B24">Rimondi et&#xa0;al., 2015</xref>). A survey on mineral transformations and partitioning during pyrite ores roasting in the Chinese sulfuric acid plant of Yunfu pointed out that sulfide-bound Cd, Tl, and Pb, as semi-volatile elements in combustion processes, are significantly vaporized (completely in the case of Tl), before their gaseous species adsorb or condense on fine particles in the flue gas (<xref ref-type="bibr" rid="B29">Yang et&#xa0;al., 2009</xref>). The feedstock of this plant comes from the nearby Yunfu pyrite mine, the object of a more recent study on environmental pollution around it, where PTEs in needles, tree rings and soils of selected pine trees were measured; the data showed a strong positive correlation between Tl and Pb in soils and PCA analysis confirmed that Tl, Pb, Cd, and As in tree rings were mostly derived from pine needles (<xref ref-type="bibr" rid="B27">Wang et&#xa0;al., 2022</xref>). Similarly, the comparison of chemical and isotopic composition of tree rings and soils from a mining-smelting area of the Copperbelt province in Zambia has been found effective to identify the source of Pb in wood from the interception (foliar, bark) uptake of this metal by trees (<xref ref-type="bibr" rid="B15">Mihaljevi&#x10d; et&#xa0;al., 2011</xref>). On the other hand, depositions of atmospheric emissions from smelters can induce pedogeochemical modifications, such as acidification, that increase metal(loid)s bioavailability from soil and claim a more in-depth investigation of the complex processes driving PTEs from emissions to their corresponding recording by trees (<xref ref-type="bibr" rid="B3">Aznar et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B1">Arteau et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B4">Binda et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B27">Wang et&#xa0;al., 2022</xref>). In these circumstances, correlations between concentrations of gaseous atmopheric elements, such as Hg, with other PTEs in tree rings may also result from a combination of foliar and root uptake (<xref ref-type="bibr" rid="B26">Van&#x11b;k et&#xa0;al., 2011</xref>). Mercury concentrations in soils of Abbadia S.S. mine and surrounding areas have been characterized by <xref ref-type="bibr" rid="B23">Protano and Nannoni (2018)</xref>, thus providing useful reference for assessing possible lithogenic contribution to contamination. To our knowledge, there are no available background values established for Pb and Tl in Abbadia S.S. or in the Mt. Amiata area that can be used for similar evaluations. This despite metall(oid)s pollution in the Mt. Amiata area (Hg and As, in particular) has recently become a matter of concern for the public health authorities, due to epidemiological anomalies in mortality and morbidity rates in residents (<xref ref-type="bibr" rid="B16">Minichilli et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B6">Bustaffa et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B22">Profili et&#xa0;al., 2018</xref>) exposed to the local contamination sources (former mining sites and operational geo-thermoelectric power plants). In a recent human biomonitoring survey, where a list of several selected PTEs was considered, exposure to Tl proved to be the novel critical feature of the area, potentially associated with geothermal exploitation but with still uncertain exposure pathways (<xref ref-type="bibr" rid="B19">Nuvolone et&#xa0;al., 2023</xref>). Keeping in mind the limitations of our pilot study, we can speculate about the possibility to include Pb in the parameter list of the next human biomonitoring campaigns.</p>
<p>Finally, despite significant gaps in the knowledge of the ecophysiological mechanisms driving the PTEs cycling in trees and their transport and accumulation in woody tissues, tree ring analysis is a promising tool to infer past and present impacts on environmental quality and to evaluate the resulting human exposure.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>DB: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Investigation. SA: Investigation, Writing &#x2013; review &amp; editing. JF: Writing &#x2013; review &amp; editing, Investigation. SL: Writing &#x2013; review &amp; editing, Investigation. FM: Writing &#x2013; review &amp; editing, Conceptualization, Funding acquisition, Visualization, Writing &#x2013; original draft, Investigation.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The author(s) declare that financial support has been received from the University of Siena for the publication of this article.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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