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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-6463</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">845511</article-id>
<article-id pub-id-type="doi">10.3389/feart.2022.845511</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>On the Link Between Global Volcanic Activity and Global Mean Sea Level</article-title>
<alt-title alt-title-type="left-running-head">Dumont et al.</alt-title>
<alt-title alt-title-type="right-running-head">Global Sea Level and Global Volcanic Activity</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dumont</surname>
<given-names>St&#xe9;phanie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/531103/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Petrosino</surname>
<given-names>Simona</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1136083/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Neves</surname>
<given-names>Maria C.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Instituto Dom Luiz (IDL)</institution>, <institution>Universidade da Beira Interior</institution>, <addr-line>Covilh&#xe3;</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Istituto Nazionale di Geofisica e Vulcanologia</institution>, <institution>Sezione di Napoli&#x2014;Osservatorio Vesuviano</institution>, <addr-line>Napoli</addr-line>, <country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Instituto Dom Luiz (IDL)</institution>, <institution>Universidade do Algarve</institution>, <addr-line>Faro</addr-line>, <country>Portugal</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/92172/overview">Agust Gudmundsson</ext-link>, University of London, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1034279/overview">Vladimir G. Kossobokov</ext-link>, Institute of Earthquake Prediction Theory and Mathematical Geophysics (RAS), Russia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: St&#xe9;phanie Dumont, <email>sdumont@segal.ubi.pt</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Volcanology, a section of the journal Frontiers in Earth Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>845511</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Dumont, Petrosino and Neves.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Dumont, Petrosino and Neves</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>Studying a large number of volcanic eruptions is a way to decipher general characteristics related to volcano dynamics but also on external forcing influencing it, such as solid Earth and ocean tides. Many studies have tackled this tidal influence on the onset of volcanic eruptions and more generally, on volcanic activity. However, the interplay between this quasi-permanent forcing and volcanic systems is still poorly understood. With the present study, we propose to consider a global viewpoint to address this interaction. We analyzed the number of monthly volcanic eruptions and the global mean sea level between 1880 and 2009 using the Singular Spectrum Analysis time-series analysis technique to evaluate the existence of common periodicities. We found multi-decadal components of similar periodicities present in both time-series which we link to those already recognized in the polar motion. Its multi-decadal variations result in a mass reorganization in the oceans whose associated stress changes may impact processes generating volcanic eruptions worldwide. Our results show the influence of global processes on volcanic activity and open many questions to further investigate these multi-scale interactions.</p>
</abstract>
<kwd-group>
<kwd>external forcing</kwd>
<kwd>volcanic activity</kwd>
<kwd>global mean sea level</kwd>
<kwd>solid Earth and ocean tides</kwd>
<kwd>eruption triggering</kwd>
<kwd>interaction external/internal processes</kwd>
<kwd>singular spectrum analysis</kwd>
<kwd>polar motion</kwd>
</kwd-group>
<contract-num rid="cn001">SFRH/BPD/117714/2016 PTDC/CTA-GEF/6674/2020 UIDB/50019/2020</contract-num>
<contract-sponsor id="cn001">Funda&#xe7;&#xe3;o para a Ci&#xea;ncia e a Tecnologia<named-content content-type="fundref-id">10.13039/501100001871</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The triggering of volcanic eruptions represents the ultimate stage of a series of non-linear physico-chemical processes. Although the conditions that make a volcano ready to enter in eruption are still elusive, deciphering those that participate in the destabilization of metastable systems could provide new insights on the processes leading to eruption triggering. Knowledge of how volcanic systems work has been mainly gained from studies on individual volcanoes first based on specific methodologies and more and more on multi-method approaches (e.g., <xref ref-type="bibr" rid="B64">McNutt, 1996</xref>; <xref ref-type="bibr" rid="B70">Newhall and Punongbayan, 1996</xref>; <xref ref-type="bibr" rid="B3">Battaglia et al., 2006</xref>; <xref ref-type="bibr" rid="B29">Dzurisin, 2006</xref>; <xref ref-type="bibr" rid="B84">Sigmundsson et al., 2015</xref>; <xref ref-type="bibr" rid="B37">Gudmundsson et al., 2016</xref>). Despite of the high variability of volcanoes illustrated in particular by their eruptive activity, internal structure, or chemical composition, common processes drive volcanic activity (<xref ref-type="bibr" rid="B14">Cashman and Biggs, 2014</xref>). Studies on a large number of volcanoes have allowed to provide more constraints on global processes controlling their dynamics and evolution as for instance, the magnitude-frequency relationship of large explosive eruptions (e.g., <xref ref-type="bibr" rid="B24">Deligne et al., 2010</xref>), the link between deformation and eruption (e.g., <xref ref-type="bibr" rid="B5">Biggs et al., 2014</xref>), as well as the role of external forcing on the eruption triggering such as tectonic earthquakes (<xref ref-type="bibr" rid="B81">Seropian et al., 2021</xref>), the sea level and climate variations (e.g., <xref ref-type="bibr" rid="B48">Laskar et al., 2004</xref>; <xref ref-type="bibr" rid="B56">Mason et al., 2004</xref>; <xref ref-type="bibr" rid="B45">Kutterolf et al., 2013</xref>; <xref ref-type="bibr" rid="B80">Satow et al., 2021</xref>) and Earth tides (<xref ref-type="bibr" rid="B57">Mauk and Jonhston, 1973</xref>).</p>
<p>Actually, the variations of the sea level, climate and Earth tides are all related, taking part of a global dynamics as pieces of a giant puzzle. The Liouville-Euler equations link the redistribution of mass at Earth&#x2019;s surface, and in particular that of the fluid envelopes to the movement of the Earth&#x2019;s rotation axis through a system of linear equations and excitation functions (<xref ref-type="bibr" rid="B46">Lambeck, 2005</xref>; <xref ref-type="bibr" rid="B53">Lopes et al., 2021</xref>). These movements take place at different time scales ranging from a few days to at least 18.6 years, as revealed by the study of the length-of-day variations, a global parameter whose fluctuations on short-term capture the mass redistribution on Earth through their impact on Earth&#x2019;s rotation velocity (<xref ref-type="bibr" rid="B50">Le Mou&#xeb;l et al., 2019</xref>). The revolution of the Earth around the Sun and the variations of the Earth&#x2019;s rotation axis that are associated with seasons and Milankovitch cycles modulate this force and mass movements and interfere with those induced by plate tectonics, ocean and atmospheric currents (e.g., <xref ref-type="bibr" rid="B46">Lambeck, 2005</xref>; <xref ref-type="bibr" rid="B49">Le Mou&#xeb;l et al., 2021a</xref>,<xref ref-type="bibr" rid="B51">b</xref>; <xref ref-type="bibr" rid="B94">Zaccagnino et al., 2020</xref>).</p>
<p>The idea of tidal influence on volcanic activity has persisted over the last century (e.g., <xref ref-type="bibr" rid="B40">Jaggar et al., 1924</xref>; <xref ref-type="bibr" rid="B60">McNutt and Beavan, 1987</xref>; <xref ref-type="bibr" rid="B30">Emter 1997</xref>; <xref ref-type="bibr" rid="B85">Sottili et al., 2021</xref>). Statistical approaches have shown that the onset of volcanic eruptions at global scale (e.g., <xref ref-type="bibr" rid="B57">Mauk and Johnston, 1973</xref>) as well as at local scale (e.g., <xref ref-type="bibr" rid="B43">Johnston and Mauk, 1972</xref>; <xref ref-type="bibr" rid="B31">Filson et al., 1973</xref>; <xref ref-type="bibr" rid="B35">Golombek and Carr, 1978</xref>; <xref ref-type="bibr" rid="B28">Dzurizin, 1980</xref>; <xref ref-type="bibr" rid="B55">Martin and Rose, 1981</xref>) could be related to the Moon and in particular, its alignment with the Earth and the Sun, known as the fortnightly cycle. Similar observations of preferred periods for eruption onsets have been made with ocean tides for submarine, coastal and insular volcanic systems (e.g., <xref ref-type="bibr" rid="B60">McNutt and Beavan, 1987</xref>; <xref ref-type="bibr" rid="B63">McNutt, 1999</xref>; <xref ref-type="bibr" rid="B56">Mason et al., 2004</xref>; <xref ref-type="bibr" rid="B89">Tolstoy, 2015</xref>). In coastal environment, the tidal deformation coupled with the ocean loading, which corresponds to the movement of surface water mass, induce variations in the compressional stresses that can promote squeezing out magma (e.g., <xref ref-type="bibr" rid="B60">McNutt and Beavan, 1987</xref>; <xref ref-type="bibr" rid="B63">McNutt, 1999</xref>). At time scales of hundreds of thousands years, pronounced sea level variations related to ice melting and more generally long-period climatic and astronomical variations have also been associated with pulses of volcanic activity, e.g., <xref ref-type="bibr" rid="B56">Mason et al. (2004)</xref>; <xref ref-type="bibr" rid="B2">Andrew and Gudmundsson (2007)</xref>; <xref ref-type="bibr" rid="B72">Pagli and Sigmundsson (2008)</xref>; <xref ref-type="bibr" rid="B45">Kutterolf et al. (2013)</xref>; <xref ref-type="bibr" rid="B91">Watt et al. (2013)</xref>; <xref ref-type="bibr" rid="B80">Satow et al. (2021)</xref>; <xref ref-type="bibr" rid="B85">Sottili et al. (2021)</xref>.</p>
<p>The influence of solid Earth and ocean tides has also been suggested on shorter time scales through periodic behavior detected in various physical parameters measured at volcanoes, e.g., seismic tremor, earthquake rate, gas fluxes. Actually, tidal constituents have been identified at volcanoes independently of their phases of activity including quiescence, unrest and eruptions (e.g., <xref ref-type="bibr" rid="B40">Jaggar et al., 1924</xref>; <xref ref-type="bibr" rid="B62">McNutt and Beavan, 1981</xref>, <xref ref-type="bibr" rid="B61">1984</xref>; <xref ref-type="bibr" rid="B82">Shimozuru, 1987</xref>; <xref ref-type="bibr" rid="B52">Leandro and Alvarado 1988</xref>; <xref ref-type="bibr" rid="B79">Rydelek et al., 1988</xref>; <xref ref-type="bibr" rid="B9">Caltabanio et al., 1994</xref>; <xref ref-type="bibr" rid="B44">Kasahara et al., 2001</xref>; <xref ref-type="bibr" rid="B20">Cust&#xf3;dio et al., 2003</xref>; <xref ref-type="bibr" rid="B54">L&#xf3;pez et al., 2006</xref>; <xref ref-type="bibr" rid="B78">Roult et al., 2012</xref>; <xref ref-type="bibr" rid="B86">Sottili and Palladino, 2012</xref>; <xref ref-type="bibr" rid="B93">Yakiwara et al., 2013</xref>; <xref ref-type="bibr" rid="B8">Bredemeyer and Hesteen, 2014</xref>; <xref ref-type="bibr" rid="B16">Conde et al., 2014</xref>; <xref ref-type="bibr" rid="B17">Contadakis et al., 2017</xref>; <xref ref-type="bibr" rid="B25">Dinger et al., 2018</xref>; <xref ref-type="bibr" rid="B32">Girona et al., 2018</xref>; <xref ref-type="bibr" rid="B73">Patrick et al., 2019</xref>; <xref ref-type="bibr" rid="B26">Dumont et al., 2020</xref>, <xref ref-type="bibr" rid="B27">2021</xref>; <xref ref-type="bibr" rid="B38">&#x130;&#xe7;hedef et al., 2020</xref>; <xref ref-type="bibr" rid="B65">Miguelsanz et al., 2021</xref>). Most of these parameters express the transfer of fluids, either melt or/and hydrothermal fluids, from deeper layers towards and at the Earth&#x2019;s surface. At the quiescent and hydrothermally active caldera of Campi Flegrei (Italy), studies have demonstrated that tidal modulation can take place according to a complex coupling mechanism that affects both crustal structure and hydrothermal fluids (e.g., <xref ref-type="bibr" rid="B6">Bottiglieri et al., 2010</xref>; <xref ref-type="bibr" rid="B22">De Lauro et al., 2012</xref>, <xref ref-type="bibr" rid="B21">2013</xref>, <xref ref-type="bibr" rid="B23">2018</xref>; <xref ref-type="bibr" rid="B74">Petrosino et al., 2018</xref>, <xref ref-type="bibr" rid="B76">2020</xref>; <xref ref-type="bibr" rid="B77">Ricco et al., 2019</xref>; <xref ref-type="bibr" rid="B11">Caputo et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Cusano et al., 2021</xref>; <xref ref-type="bibr" rid="B75">Petrosino and Dumont, 2022</xref>). At erupting volcanoes, increase in explosions or seismic activity as well as second-order variations of geophysical time-series were also attributed to tides (e.g., <xref ref-type="bibr" rid="B58">Mauk and Kienle, 1973</xref>; <xref ref-type="bibr" rid="B35">Golombek and Carr, 1978</xref>; <xref ref-type="bibr" rid="B55">Martin and Rose, 1981</xref>; <xref ref-type="bibr" rid="B42">Jentzsch et al., 2001</xref>; <xref ref-type="bibr" rid="B92">Williams-Jones et al., 2001</xref>; <xref ref-type="bibr" rid="B26">Dumont et al., 2020</xref>, <xref ref-type="bibr" rid="B27">2021</xref>).</p>
<p>Despite all these observations, not all volcanoes show a sensitivity to solid Earth and ocean tides, and the cause-effect relationship is still elusive (e.g., <xref ref-type="bibr" rid="B87">Sparks, 1981</xref>; <xref ref-type="bibr" rid="B67">Neuberg, 2000</xref>). Actually, past studies have mainly focused either on short or very-long time scales, from hours to a few years on one hand, or over several kyr on the other hand. However, the interaction between tidally-generated movements and volcanic systems is expected to occur on all time scales on which this external forcing acts. Therefore, should we not expect a possible response of volcanoes at all these time-scales?</p>
<p>We address these questions by exploring the link between ocean tides and volcanoes from a global viewpoint over a &#x223c;130&#xa0;years time interval. Oceans as all fluid and solid envelopes on Earth respond to external forcing induced by lunisolar tidal potential. They participate in a significant redistribution of mass through ocean loading, and therefore stresses at Earth&#x2019;s surface over different time scales. Considering that most volcanoes lie near, within or beneath the oceans (<xref ref-type="fig" rid="F1">Figure 1</xref>), we can raise the question of whether the tidally-induced ocean movements and therefore stresses can participate in changing the dynamical systems and so the destabilization of volcanoes on decadal timescales. This is what we tackle with this paper, by analyzing the common periodicities which may exist in the number of worldwide volcanic eruptions and the global mean sea level using the Singular Spectrum Analysis (SSA) technique.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Global volcanic activity and global mean sea level from 1880 to 2009. <bold>(A)</bold> Curves showing the number of confirmed monthly volcanic eruptions since 1 January 1880 to 31 December 2009 for all and VEI&#x2265;2 eruptions (<xref ref-type="bibr" rid="B90">Global Volcanism Program, 2013</xref>). These eruptions are associated with 514 volcanic systems shown in <bold>(C)</bold>. The color of the triangles corresponds to submarine (blue), island (red) or continental (orange) volcanic systems whose proportions are indicated in the top inset <bold>(C)</bold>. <bold>(B)</bold> Curve of the global mean sea level from January 1880 to December 2009 after <xref ref-type="bibr" rid="B15">Church and White (2006)</xref>. <bold>(D)</bold> Histogram showing the distance to the coastline for the 161 continental and 284 island volcanoes (total: 445).</p>
</caption>
<graphic xlink:href="feart-10-845511-g001.tif"/>
</fig>
</sec>
<sec id="s2">
<title>Investigating the Link Between the Global Mean Sea Level and Worldwide Volcanic Activity</title>
<sec id="s2-1">
<title>Data and Method</title>
<p>We considered volcanic eruptions worldwide reported by the Smithsonian Institution through the Global Volcanism Program (2013) spanning a 129-year period from 1 January 1880 to 31 December 2009. This data series counts 3,781 confirmed eruptions with known Volcanic Explosivity Index (VEI, <xref ref-type="bibr" rid="B71">Newhall and Self, 1982</xref>), associated to 514 volcanic systems (<xref ref-type="fig" rid="F1">Figure 1C</xref>). We built a number of volcanic eruptions (NVE) using a median filter with a 12-months sliding window applied to the number of monthly eruptive events (<xref ref-type="fig" rid="F1">Figure 1A</xref>). We performed a similar analysis for eruptions with VEI&#x2265;2 to test the stability of our results with respect to the catalog completeness. We also classified these volcanic systems according to their environment, i.e. continental, insular or submarine, and for the first two settings, we calculated their distance to the coastline (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>, <xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>).</p>
<p>We used the reconstruction of the Global Mean Sea Level (GMSL) by <xref ref-type="bibr" rid="B15">Church and White (2006)</xref>. The GMSL time-series is derived from data acquired from both worldwide-distributed tide gauges and different altimeter satellites. It has a monthly-sampling which was only corrected for Glacial Isostatic Adjustment (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
<p>We analyzed both time-series, e.g. that of volcanic eruptions and that of GMSL, using SSA. This technique has been widely applied on various geophysical data sets (<xref ref-type="bibr" rid="B13">Carniel et al., 2006</xref>; <xref ref-type="bibr" rid="B7">Bozzo et al., 2010</xref>; <xref ref-type="bibr" rid="B53">Lopes et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Dumont et al., 2020</xref>, <xref ref-type="bibr" rid="B27">2021</xref>; <xref ref-type="bibr" rid="B75">Petrosino and Dumont, 2022</xref>), including sea level (<xref ref-type="bibr" rid="B49">Le Mou&#xeb;l et al., 2021a</xref>,<xref ref-type="bibr" rid="B51">b</xref>). This time-series analysis technique allows to decompose any time-series into a sum of physical components corresponding to slowly-varying components such as trend, regular and modulated oscillations and noise (e.g., <xref ref-type="bibr" rid="B36">Golyandina and Zhigljavsky, 2013</xref>). First, the cross-lagged correlation matrix was built from embedded vectors of lengths adapted to each time-series [561 for GMSL, 2,682 for NVE (all eruptions) and 1,416 for NVE (VEI&#x2265;2)]. Then, the singular value decomposition was applied resulting in eigenvectors and eigenvalues that were identified as non- or pseudo-oscillatory components and whose periods were estimated using Fourier Transform. We only considered the first five eigenvalues which are the strongest components of the original signal (<xref ref-type="sec" rid="s10">Supplementary Figure S2</xref>).</p>
</sec>
<sec id="s2-2">
<title>Results</title>
<p>The number of reported volcanic eruptions increases over the whole time interval (<xref ref-type="fig" rid="F1">Figure 1A</xref>), which does not represent a global increase of volcanic activity on Earth but rather more systematic reports on eruptions around the world over the 20th century. A significant drop appears, around 1940, due to the second world war, followed by a sharp increase up to &#x223c;1950&#x2013;1960. Then, the period &#x223c;1960- late 1990 was characterized by a slow decrease of volcanic activity which preceded a strong increase that culminated around 2005. Very similar variations are observed for VEI&#x2265;2 eruptions. Over the 1880&#x2013;2009 period, the variations of the GMSL (<xref ref-type="fig" rid="F1">Figure 1B</xref>) appear more regular, with a global increase of &#x223c;2&#xa0;cm punctuated by shorter variations of low amplitude (&#x3c;0.5&#xa0;cm).</p>
<p>Three of the first five eigenvalues of the NVE (all eruptions and VEI&#x2265;2) appear to be very similar, and within uncertainties, to those detected in the GMSL (<xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="sec" rid="s10">Supplementary Figures S2, S3</xref>). They are characterized by a period of 52.5 years, 37.9 &#xb1; 8.9&#xa0;years and 19.8 &#xb1; 2.2&#xa0;years (56.9 &#xb1; 20.4&#xa0;years, 33.3 &#xb1; 6.5&#xa0;years and 19.2 &#xb1; 1.8&#xa0;years for VEI&#x2265;2). The corresponding periods extracted in the GMSL are of 56.9 &#xb1; 15.2&#xa0;years, 31.8 &#xb1; 5.3&#xa0;years and 19.5 &#xb1; 2&#xa0;years. To further investigate their link, we compare their waveforms (<xref ref-type="fig" rid="F2">Figure 2</xref>). The first periodicity of &#x223c;50&#x2013;60&#xa0;years appears in phase for the NVE and GSML although the uncertainties are relatively significant. Thus, when the global mean sea level is high, the volcanic activity is also globally high on Earth. For the &#x223c;20-year components, the NVE and GMSL appear in phase opposition, while for the &#x223c;30&#xa0;years a phase delay is detected between GMSL variations and volcanic activity. In the NVE, we also found a component of &#x223c;85&#xa0;years (&#x223c;90&#xa0;years for VEI&#x2265;2) that is not well resolved due to the duration of the time interval considered. Although not found in the GMSL analyzed in this paper, previous studies of sea level data have found a similar cycle of &#x223c;90&#xa0;years, known also as the Gleissberg cycle (cf. <xref ref-type="bibr" rid="B34">Gleissberg, 1939</xref>; <xref ref-type="bibr" rid="B51">Le Mou&#xeb;l et al., 2021b</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Examples of common long-period components extracted using SSA in the global mean sea level (blue) and volcanism (orange for all eruptions and dotted brown for VEI&#x2265;2 eruptions) with that of <bold>(A)</bold> &#x223c;50&#x2013;60, <bold>(B)</bold>&#x223c;30, and <bold>(C)</bold> &#x223c;20&#xa0;years.</p>
</caption>
<graphic xlink:href="feart-10-845511-g002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s3">
<title>Discussion</title>
<p>Our analysis, performed for both the whole eruption catalog and VEI&#x2265;2 eruptions, shows the existence of consistent multi-decadal periodicities not only for low and non-explosive eruptions but also for explosive-dominated phenomena as already suggested for sulfur rich tropical eruptions (<xref ref-type="bibr" rid="B1">Ammann and Nadeau, 2003</xref>), and despite a catalog completeness which has kept improving over the 20th century (<xref ref-type="bibr" rid="B83">Siebert et al., 2015</xref>). Although some of the uncertainties are significant, very comparable periodicities were found in the GMSL. These different periodicities form the larger contributions in each time-series representing more than 90% of the original signals, once considered together with the trend (<xref ref-type="sec" rid="s10">Supplementary Figures S2, S3, S4</xref>). Moreover, a specific link between these multi-decadal components extracted in the NVE and GMSL is observed (in phase, phase shifted/opposition). All together, these results lead us to consider that these multi-decadal periodicities in the NVE and GMSL time-series are related.</p>
<p>Most volcanic eruptions considered in this study, e.g. &#x223c;70%, occur on volcanoes located either on islands or sea floor, indicating a prime link of spatial order between volcanic systems and oceans, knowing that the submarine eruptions are by far underestimated (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>). Moreover, for volcanoes situated on continents or islands, about 54% of them are located within 50&#xa0;km to the coast (<xref ref-type="fig" rid="F1">Figure 1D</xref>, <xref ref-type="sec" rid="s10">Supplementary Figure S1</xref>). Water, which is ubiquitous on Earth, is not only present at Earth&#x2019;s surface but also as groundwater, penetrating beneath the islands and far into the continents. Water also accumulates within intraplate regions (e.g., <xref ref-type="bibr" rid="B33">Gleeson et al., 2016</xref>; <xref ref-type="bibr" rid="B18">Craig et al., 2017</xref>; <xref ref-type="bibr" rid="B59">MacMillan et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Jasechko et al., 2020</xref>). All fluid layers redistribute water masses from the microscopic scale through pore-fluid pressures to the global scale via their loading, by oscillating at periods ranging from few hours to multi-decades in response to tidal forces and pole motion (e.g., <xref ref-type="bibr" rid="B46">Lambeck, 2005</xref>; <xref ref-type="bibr" rid="B59">MacMillan et al., 2019</xref>; <xref ref-type="bibr" rid="B51">Le Mou&#xeb;l et al., 2021b</xref>; <xref ref-type="bibr" rid="B53">Lopes et al., 2021</xref>). These two different ways by which water can interfere with dynamical systems have not only been suggested for volcanoes, but also for fault systems where tidal stresses may enhance the long-term tectonic loads (<xref ref-type="bibr" rid="B88">Thomas et al., 2009</xref>; <xref ref-type="bibr" rid="B68">Neves et al., 2015</xref>; <xref ref-type="bibr" rid="B39">Ide et al., 2016</xref>). Considering that both faults and volcanoes share some commonalities in their driving processes, we believe that taking into account their response to external forcing could improve understanding of how this interplay works.</p>
<p>Past studies spotted that long periods (&#x3e;6&#xa0;months) of the hydrological cycle can influence eruption onsets at volcanoes located nearby the coast (e.g., <xref ref-type="bibr" rid="B60">McNutt and Beavan, 1987</xref>; <xref ref-type="bibr" rid="B63">McNutt, 1999</xref>). This idea seems to be confirmed by our study and the work of <xref ref-type="bibr" rid="B56">Mason et al. (2004)</xref> based on worldwide catalog of eruptions who showed a correlation between eruption rates and annual sea level variations. Besides, it is well known that bathymetry and boundary effects associated with coastlines have a major impact on the local amplitudes of semi-diurnal, spring, and neap tides (<xref ref-type="sec" rid="s10">Supplementary Figure S5</xref>). Likewise, sea level variations over longer time scales, like the ones highlighted in this study, have different amplitudes and larger loading depending on geographic location. As long periods of hydrological loading redistribute more water masses than shorter periods, it could explain why long periods and multi-decadal periodicities would have more impact on unstable and dynamical systems.</p>
<p>Detecting these decadal periodicities in both time-series suggests as well that they relate to a global phenomenon. Although the way these processes take place and interfere is still puzzling, we note that four similar multi-decadal periods were detected in the fluctuations of the pole motion, being of 21.6, 31.5, 57.3 and 92.2&#xa0;years (e.g., <xref ref-type="bibr" rid="B53">Lopes et al., 2021</xref>). Yet, any movement of the Earth&#x2019;s rotation axis is accompanied by mass movements according to Liouville-Euler equations (<xref ref-type="bibr" rid="B46">Lambeck, 2005</xref>; <xref ref-type="bibr" rid="B53">Lopes et al., 2021</xref>). This may be illustrated by the late Pleistocene deglaciation, the concomitant sea level changes and a secular drift present in the pole motion (<xref ref-type="bibr" rid="B66">Nakiboglu and Lambeck, 1980</xref>). This is what we observe through the common periodicities extracted in the GMSL and the pole motion (<xref ref-type="bibr" rid="B53">Lopes et al., 2021</xref>). We interpret the presence of these decadal periodicities in the NVE as a consequence of this global mass redistribution operating at similar time scales. The water masses transported over these decadal periods induce pressure changes on crust that adds to the local stresses, leading to a slow destabilization of magma plumbing systems. In fact, the decadal cycles extracted in the NVE do not properly trigger one eruption every &#x223c;50 or &#x223c;20&#xa0;years as evidenced by the amplitude of the waveforms extracted by SSA (<xref ref-type="fig" rid="F2">Figure 2</xref>), although they participate to the triggering process. Complementary approaches will be necessary for better understanding this link, as for instance, numerical modeling to investigate how tidal stresses can destabilize magma chambers and fault systems (<xref ref-type="bibr" rid="B60">McNutt and Beaven, 1987</xref>; <xref ref-type="bibr" rid="B39">Ide et al., 2016</xref>; <xref ref-type="bibr" rid="B96">Jonhson et al., 2017</xref>; <xref ref-type="bibr" rid="B95">Scholz, 2019</xref>). Moreover, the impact of the fluctuations of the Earth&#x2019;s rotation axis on volcanic eruptions was also suggested locally and regionally (<xref ref-type="bibr" rid="B45">Kutterolf et al., 2013</xref>; <xref ref-type="bibr" rid="B47">Lambert and Sottili, 2019</xref>).</p>
</sec>
<sec id="s4">
<title>Concluding Remarks and Future Perspectives</title>
<p>Our study leads us to suggest that movements affecting globally our planet over a wide range of time scales, e.g., lunisolar gravitational forces, pole motion, may contribute to the dynamics of volcanic systems. These considerations and results raise also some more questions as for instance, are volcanoes sensitive to all or just some of these periodicities and what may explain these differences? Could this forcing be viewed as a background variation participating in the regular dynamics of magma plumbing systems? We think that these decadal variations together with short and very long periodicities deserve to be more explored and investigated as they might reveal global conditions and space-time patterns favorable to eruption triggering.</p>
<p>These results represent an avenue to explore how the mass redistribution acting at global scale participates in the processes leading to the triggering of volcanic eruptions as already suggested by <xref ref-type="bibr" rid="B56">Mason et al. (2004)</xref> or <xref ref-type="bibr" rid="B85">Sottili et al. (2021)</xref>. Deciphering the link between global and local scale is critical to understand how external forcing acts on different time scales and how it can disrupt dynamical systems like volcanoes. We think that assessing these processes at multiple scales will allow to provide more constraints on the parameters and conditions that make volcanoes sensitive to small environmental changes (e.g. <xref ref-type="bibr" rid="B10">Canon-Tapia, 2014</xref>; <xref ref-type="bibr" rid="B12">Caricchi et al., 2021</xref>).</p>
<p>Singular Spectrum Analysis, in addition to be a robust time-series analysis technique that has been applied to a large variety of Earth sciences data, allows to extract trends and periodic components without an a priori model, which has some advantages when analyzing signals integrated at various time scales such as tides and whose modulation may vary over time as in case of seismic tremor in a highly heterogeneous medium (e.g., <xref ref-type="bibr" rid="B75">Petrosino and Dumont, 2022</xref>). Similar analyses could provide new insights on studied processes, including cause-effect relationships between parameters as well as what makes some volcanoes sensitive to quasi-permanent external forcing and why (e.g., <xref ref-type="bibr" rid="B27">Dumont et al., 2021</xref>). All active volcanoes do not respond to solid Earth and ocean tides (e.g., <xref ref-type="bibr" rid="B67">Neuberg, 2000</xref>) and that sensitivity may be related to inherent properties of volcanoes, their location on Earth or the plate boundaries conditions (e.g., <xref ref-type="bibr" rid="B57">Mauk and Johnston, 1973</xref>; <xref ref-type="bibr" rid="B28">Dzurisin, 1980</xref>; <xref ref-type="bibr" rid="B27">Dumont et al., 2021</xref>). Many studies have also reported an increase of the sensitivity to tidal forcing when plumbing systems are approaching a critical state coinciding for some volcanoes to pre-eruptive periods (e.g., <xref ref-type="bibr" rid="B31">Filson et al., 1973</xref>; <xref ref-type="bibr" rid="B4">Berrino and Corrado, 1991</xref>; <xref ref-type="bibr" rid="B21">De Lauro et al., 2013</xref>; <xref ref-type="bibr" rid="B32">Girona et al., 2018</xref>; <xref ref-type="bibr" rid="B65">Miguelsanz et al., 2021</xref>). More systematics observations are required to unravel these critical conditions.</p>
<p>Technique plays an important role in the road to findings, but data, as all the ingredients in a recipe, play an equally fundamental role. The data availability and quality are of great importance to advance in the comprehension of the interplay between external and internal processes at volcanoes. The role of volcano observatories and initiatives such WOVOdat (<xref ref-type="bibr" rid="B69">Newhall et al., 2017</xref>) or the <xref ref-type="bibr" rid="B90">Global Volcanism Program (2013)</xref> have been primordial to tackle these questions and many others. Revisiting past volcanic activity together with recent volcanic events, from global to local scale using time-series analysis, may help to advance in this direction.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>Publicly available datasets were analyzed in this study. The list of worldwide volcanic eruptions is from the Global Volcanism Program, Smithsonian Institution (<xref ref-type="bibr" rid="B90">Global Volcanism Program, 2013</xref>): <ext-link ext-link-type="uri" xlink:href="https://volcano.si.edu/">https://volcano.si.edu/</ext-link>. The global mean sea-level data from Church and White (2006) is accessible here: <ext-link ext-link-type="uri" xlink:href="https://www.psmsl.org/products/reconstructions/church.php">https://www.psmsl.org/products/reconstructions/church.php</ext-link>.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>SD contributed to conceptualization, data analysis and led the writing of the original draft. SD and MN made the figures. All authors contributed to the writing, review and editing of the paper.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This work was performed through the fellowship SFRH/BPD/117714/2016 funded by the Funda&#xe7;&#xe3;o para a Ci&#xea;ncia e Tecnologia (FCT) and the European Union, co-financed by the Minist&#xe9;rio da Ci&#xea;ncia, Tecnologia e Ensino Superior (MCTES), Fundo Social Europeu (FSE), and Programa Operacional Regional Centro (POR-Centro, Centro 2020); in the framework of the project SHAZAM (PTDC/CTA-GEO/31475/2017&#x2014;POCI-01-0145-FEDER-031475), co-financed by the FCT through national and FEDER funds through the Programa Operacional Competitividade e Internacionaliza&#xe7;&#xe3;o&#x2014;COMPETE 2020, as well as projects financed by the financed by the FCT, I.P/MCTES through national funds (PIDDAC), RESTLESS (PTDC/CTA-GEF/6674/2020), the Instituto Dom Luiz (IDL, UIDB/50019/2020) and the Colaborat&#xf3;rio para as Geoci&#xea;ncias (PTDC/GEO-GEO/1123/2014).</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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 sec-type="disclaimer" id="s9">
<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>
<ack>
<p>SD ackowledges F. Lopes for stimulating discussions which were critical. The authors thank the reviewer whose comments contributed to improve the manuscript.</p>
</ack>
<sec id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/feart.2022.845511/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/feart.2022.845511/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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