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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.873548</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Movements and diving behavior of Risso&#x2019;s dolphins in the Southern California Bight</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rone</surname>
<given-names>Brenda K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1672614"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sweeney</surname>
<given-names>David A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2009860"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Falcone</surname>
<given-names>Erin A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1813441"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Watwood</surname>
<given-names>Stephanie L.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1245866"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schorr</surname>
<given-names>Gregory S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/631764"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Foundation for Marine Ecology and Telemetry Research</institution>, <addr-line>Seabeck, WA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Ranges, Engineering and Analysis Department, Naval Undersea Warfare Center</institution>, <addr-line>Newport, RI</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jeremy Kiszka, Florida International University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Roberto Carlucci, University of Bari Aldo Moro, Italy; Tiago Andre Marques, University of St. Andrews, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Brenda K. Rone, <email xlink:href="mailto:brenda.rone@marecotel.orgg">brenda.rone@marecotel.org</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Megafauna, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>10</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>873548</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Rone, Sweeney, Falcone, Watwood and Schorr</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Rone, Sweeney, Falcone, Watwood and Schorr</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>Risso&#x2019;s dolphins (<italic>Grampus griseus</italic>), uncommon prior to the 1970&#x2019;s, are now regularly observed within the Southern California Bight. During long-term cetacean monitoring programs on United States Navy range areas in the Southern California Bight from 2009&#x2013;2019, we deployed 16 Argos-linked satellite tags on Risso&#x2019;s to acquire objective, detailed depictions of their movements and behaviors. Individuals were tracked for a median of 10.7 days (range = 0.8 &#x2013; 19.7). Kernel density estimation suggested individuals utilized the entire Southern California Bight with the 50% core use area centered around San Clemente and Santa Catalina Islands where most of the tag deployments occurred. Grand median dive depth was 101 m (max = 528) and dive duration was 5.6 min (max = 11.1). We used generalized mixed models to assess seasonal and environmental effects on distribution and diving behavior including month, distance to shore, time of day, lunar phase, sea surface temperature, and chlorophyll-<italic>a</italic> residuals. Animals were further from shore (including islands) during a full versus new moon and from the mainland during the last versus first quarter moon. Animals also tended to be closer to land in the fall and early winter months. Dives were deeper yet shorter during the night, during a full moon, and when animals were further offshore. Animals conducted nearly twice as many dives at night compared to day, though deep dives (&gt; 500 m) occurred at all times of day. This study provides insights into Risso&#x2019;s distribution and behavioral trends while identifying priorities for future research.</p>
</abstract>
<kwd-group>
<kwd>Risso&#x2019;s dolphin</kwd>
<kwd>
<italic>Grampus griseus</italic>
</kwd>
<kwd>satellite telemetry</kwd>
<kwd>generalized linear mixed models</kwd>
<kwd>Southern California Bight</kwd>
</kwd-group>
<contract-sponsor id="cn001">Environmental Security Technology Certification Program<named-content content-type="fundref-id">10.13039/100014032</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="87"/>
<page-count count="17"/>
<word-count count="9148"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Risso&#x2019;s dolphins (<italic>Grampus griseus</italic>, hereafter referred to as &#x201c;Risso&#x2019;s&#x201d;) are a medium-sized, cosmopolitan odontocete found in temperate and tropical waters. They typically occur between latitudes 60&#xb0;N to 60&#xb0;S where sea surface temperatures are greater than 10&#xb0;C; however, the highest numbers of individuals are found between 30&#xb0; and 45&#xb0; latitudes, in waters 15&#x2013;20&#xb0;C (<xref ref-type="bibr" rid="B52">Kruse et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B6">Baird, 2002</xref>; <xref ref-type="bibr" rid="B45">Jefferson et&#xa0;al., 2014b</xref>). In the eastern Pacific, Risso&#x2019;s are abundant and widely dispersed year-round (<xref ref-type="bibr" rid="B53">Leatherwood et&#xa0;al., 1980</xref>). They can be found as far north as the Gulf of Alaska and south to Tierra del Fuego (<xref ref-type="bibr" rid="B6">Baird, 2002</xref>; <xref ref-type="bibr" rid="B45">Jefferson et&#xa0;al., 2014b</xref>). Risso&#x2019;s are most often associated with shelf-edge and upper continental slope habitat, in areas of steep bottom topography with average depths ranging from 100 to 1000 m (<xref ref-type="bibr" rid="B51">Kruse, 1989</xref>; <xref ref-type="bibr" rid="B11">Baumgartner, 1997</xref>; <xref ref-type="bibr" rid="B52">Kruse et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B6">Baird, 2002</xref>; <xref ref-type="bibr" rid="B23">Ca&#xf1;adas et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B44">Jefferson et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B4">Azzellino et&#xa0;al., 2008</xref>). Although highest densities are found along this shelf/slope region, they utilize a wide range of habitats, from shallow, coastal areas (<xref ref-type="bibr" rid="B20">Boer et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B45">Jefferson et&#xa0;al., 2014b</xref>) to offshore pelagic waters (<xref ref-type="bibr" rid="B7">Baird, 2016</xref>). Group size is typically 10&#x2013;50, although singletons and groups upwards of 4,000 individuals have been documented (<xref ref-type="bibr" rid="B53">Leatherwood et&#xa0;al., 1980</xref>; <xref ref-type="bibr" rid="B6">Baird, 2002</xref>; <xref ref-type="bibr" rid="B7">Baird, 2016</xref>).</p>
<p>Currently, the population abundance of Risso&#x2019;s along the coasts of Washington, Oregon, and California is estimated at 6,336 (CV = 0.32) individuals (<xref ref-type="bibr" rid="B24">Carretta et&#xa0;al., 2020</xref>). Movement patterns within this population have been discerned through sightings and acoustic detections. It is thought that Risso&#x2019;s in this region demonstrate broadscale seasonal shifts northward from California into Oregon/Washington in the spring/summer months coincident with rising water temperatures (<xref ref-type="bibr" rid="B36">Green et&#xa0;al., 1992</xref>). High inter-annual seasonal variability north of (<xref ref-type="bibr" rid="B28">Dohl et&#xa0;al., 1983</xref>; <xref ref-type="bibr" rid="B51">Kruse, 1989</xref>; <xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>), and year-round presence within, the Southern California Bight (<xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>), a productive oceanographic region off the coast of the southwestern United States (U.S.), have been documented. Long&#x2013;term changes in the abundance and distribution of Risso&#x2019;s have also been documented in the Southern California Bight. In the late 1950s, they were rarely encountered there (<xref ref-type="bibr" rid="B63">Norris and Prescott, 1961</xref>). Between 1972 and 1975, sightings increased in frequency as their distribution shifted inshore (<xref ref-type="bibr" rid="B53">Leatherwood et&#xa0;al., 1980</xref>). Starting in the El Ni&#xf1;o years of 1982&#x2013;83, occurrence further increased in the Bight and Santa Catalina Island was identified as particularly important habitat (<xref ref-type="bibr" rid="B74">Shane, 1995b</xref>). They continue to be regularly documented there both visually and acoustically (<xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B43">Jefferson et&#xa0;al., 2014a</xref>; <xref ref-type="bibr" rid="B5">Bacon et&#xa0;al., 2017</xref>).</p>
<p>Risso&#x2019;s have a primarily teuthophagus diet consisting of both squid and octopus (<xref ref-type="bibr" rid="B25">Clarke, 1996</xref>; <xref ref-type="bibr" rid="B6">Baird, 2002</xref>; <xref ref-type="bibr" rid="B17">Blanco et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B44">Jefferson et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B12">Bearzi et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B86">Yates and Palavecino-Sep&#xfa;lveda, 2011</xref>; <xref ref-type="bibr" rid="B18">Bloch, 2012</xref>; <xref ref-type="bibr" rid="B59">Milani et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B55">Luna et&#xa0;al., 2021</xref>), though they also feed on fish and crustaceans (<xref ref-type="bibr" rid="B69">Reeves et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B18">Bloch, 2012</xref>). With the exception of octopus in the western Mediterranean (<xref ref-type="bibr" rid="B17">Blanco et&#xa0;al., 2006</xref>), squid appear to be their preferred cephalopod prey (<xref ref-type="bibr" rid="B25">Clarke, 1996</xref>; <xref ref-type="bibr" rid="B12">Bearzi et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B86">Yates and Palavecino-Sep&#xfa;lveda, 2011</xref>; <xref ref-type="bibr" rid="B18">Bloch, 2012</xref>). In California waters, some species of squid that have been identified as important prey for Risso&#x2019;s, including jumbo squid (<italic>Dosidicus gigas</italic>) (<xref ref-type="bibr" rid="B64">Orr, 1966</xref>; <xref ref-type="bibr" rid="B34">Gilly et&#xa0;al., 2006</xref>) and market squid <italic>(Loligo opalescens)</italic> (<xref ref-type="bibr" rid="B51">Kruse, 1989</xref>), perform diurnal vertical migrations (<xref ref-type="bibr" rid="B82">Watanabe et&#xa0;al., 2006</xref>). These species serve as both prey and predators within the ecosystem, feeding on deep-, mid-, and shallow-water organisms such as krill and other crustaceans, small fish, and even other cephalopods, with observations suggesting they may feed at the surface in the early evening (<xref ref-type="bibr" rid="B56">Markaida and Sosa-Nishizaki, 2003</xref>). Jumbo squid in particular have demonstrated daytime depths exceeding 250 m, near-surface depths at dusk, and variable depths throughout the night (<xref ref-type="bibr" rid="B34">Gilly et&#xa0;al., 2006</xref>).</p>
<p>Our understanding of foraging behavior of Risso&#x2019;s has advanced markedly in recent years. Initial observational studies suggested Risso&#x2019;s rested or traveled during the day and foraged at night (<xref ref-type="bibr" rid="B74">Shane, 1995b</xref>). An increase in both click rates and bouts at night suggested Risso&#x2019;s foraging activity is related to diurnal patterns in squid behavior (<xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>). Most recent work indicates that Risso&#x2019;s perform foraging dives during the day as well as at night (<xref ref-type="bibr" rid="B14">Benoit-Bird et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B3">Arranz et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>) with maximum depths exceeding 500 m particularly common during the day (<xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>). They regularly switch predation tactics between a near-surface generalist and deep-water squid specialist even within a single dive (<xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>). They plan foraging dives based on knowledge attained on previous dives (<xref ref-type="bibr" rid="B3">Arranz et&#xa0;al., 2018</xref>, <xref ref-type="bibr" rid="B81">Visser et&#xa0;al., 2021</xref>) and use a spin dive strategy to decrease transit time to exploit the diurnal mesopelagic layer (<xref ref-type="bibr" rid="B81">Visser et&#xa0;al., 2021</xref>).</p>
<p>Reliable assessments of Risso&#x2019;s movements and diving behavior are challenging yet essential for understanding population structure, stock boundaries, habitat use, and potential exposure to anthropogenic impacts. Satellite tags can provide a more objective, detailed depiction of individual movements and behavior than visual or acoustic surveys alone. As part of a long-term research effort to examine cetacean movements, habitat use, and ecology within the Southern California Bight, we remotely deployed 16 Argos-linked satellite tags on Risso&#x2019;s between 2009 and 2019, and here report on habitat use, dive behavior, and movements of these tagged individuals.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Data collection</title>
<sec id="s2_1_1">
<title>Tag data collection and processing</title>
<p>Fieldwork was undertaken in the Southern California Bight, primarily off San Clemente and Santa Catalina Islands, from 2009 to 2019 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Satellite tags in the Low Impact Minimally Percutaneous External-electronics Transmitter (LIMPET) configuration were deployed on or near the dorsal fin using a Dan-Inject modified air rifle. Tags were affixed by two 3.4 cm medical-grade titanium barbed darts which were gas sterilized prior to attachment (<xref ref-type="bibr" rid="B1">Andrews et&#xa0;al., 2019</xref>). The tags contained either Wildlife Computers&#x2019; (Redmond, WA) SPOT5 location-only, or SPLASH10-A or SPLASH10-F location and dive reporting transmitters. The age class of each tagged individual was estimated based on the relative size and level of scarring (<xref ref-type="bibr" rid="B52">Kruse et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B38">Hartman et&#xa0;al., 2016</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Maps of the study area with filtered locations of Risso<bold>&#x2019;</bold>s dolphins tagged within the Southern California Bight annually. The inset shows the study area in a broader geographic context of the state of California. Range Polygons: Blue = Southern California Range Complex; Purple = Point Mugu Sea Range; Orange = Southern California Anti-submarine Warfare Range; Pink = Shore Bombardment Area.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-873548-g001.tif"/>
</fig>
<p>SPLASH10-A tags transmitted a record of diving behavior in the form of a behavior log (BL). BL data were received <italic>via</italic> the Argos satellite system and from a land-based Argos receiving station (Wildlife Computers Mote) installed on San Clemente Island in 2014 (<xref ref-type="bibr" rid="B42">Jeanniard-du-Dot et&#xa0;al., 2017</xref>). BL data consisted of summarized dive and surfacing events and included event start and end times and the maximum depth of dives. As the number of tag deployments grew, our understanding of Risso&#x2019;s dive behavior improved. Thus, adjustments to tag programming were made during the course of study to maximize the quantity and relevance of BL data captured while minimizing data gaps. Dive events were defined as any submergence that exceeded either 30 m (6 tags) or 50 m (2 tags) depth and lasted more than 30 s (3 tags) or 1 min (5 tags) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Depth accuracy for the pressure transducers in these tags was independently verified in a pressure chamber to 3,000 m, resulting in a maximum error of &lt;+/- 2.5% of the recorded value (<xref ref-type="bibr" rid="B71">Schorr et&#xa0;al., 2014</xref>). Initially, start and end times were determined by crossing the 5 m depth threshold upon descent or ascent of a qualifying dive for the first two tags. After assessment of tag performance, the next six tags were programmed with start and end times determined by the transition from wet to dry when the tag broke the surface during a typical breath, and therefore this programming regimen allowed for a more accurate assessment of dive and surfacing times (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The single SPLASH10-F tag that was deployed during this study was programmed to collect only maximum dive depth histogram data (<uri xlink:href="https://wildlifecomputers.com/our-tags/splash-archiving-tags/splash10-f/">https://wildlifecomputers.com/our-tags/splash-archiving-tags/splash10-f/</uri>) to prioritize the collection of higher resolution Fastloc GPS location data in addition to Argos location data, and thus was excluded from dive analyses.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Details of Risso<bold>&#x2019;</bold>s dolphin satellite tag deployments by individual.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Tag ID</th>
<th valign="top" align="center">Age class</th>
<th valign="top" align="center">Tag type</th>
<th valign="top" align="center">Event Start/End time by</th>
<th valign="top" align="center">Defined dive threshold</th>
<th valign="top" align="center">Deployment date</th>
<th valign="top" align="center">Locality</th>
<th valign="top" align="center">Transmission duration (days)</th>
<th valign="top" align="center">No. locations for analyses</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>GgTag001</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="center">SPOT5</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">19Jul2009</td>
<td valign="top" align="left">East side of SCI</td>
<td valign="top" align="center">13.6</td>
<td valign="top" align="center">100</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag002</bold>
</td>
<td valign="top" align="center">J</td>
<td valign="top" align="left">SPOT5</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">11Nov2009</td>
<td valign="top" align="left">Santa Cruz I.</td>
<td valign="top" align="center">19.3</td>
<td valign="top" align="center">221</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag003*</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SPOT5</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">24Jun2010</td>
<td valign="top" align="left">SOAR</td>
<td valign="top" align="center">19.7</td>
<td valign="top" align="center">239</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag004*</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SPOT5</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">24Jun2010</td>
<td valign="top" align="left">SOAR</td>
<td valign="top" align="center">11.2</td>
<td valign="top" align="center">127</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag005</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SPOT5</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">08Jan2011</td>
<td valign="top" align="left">Catalina I.</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">82</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag006</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">18Jun2011</td>
<td valign="top" align="left">San Diego</td>
<td valign="top" align="center">8.3</td>
<td valign="top" align="center">21</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag008</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">5 m Depth</td>
<td valign="top" align="center">50m/1min</td>
<td valign="top" align="center">24Jul2011</td>
<td valign="top" align="left">East side of SCI</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">76</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag009</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">5 m Depth</td>
<td valign="top" align="center">30m/1min</td>
<td valign="top" align="center">20Sep2011</td>
<td valign="top" align="left">Catalina I.</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag010</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SPOT5</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">20Jan2012</td>
<td valign="top" align="left">Catalina I.</td>
<td valign="top" align="center">10.1</td>
<td valign="top" align="center">175</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag011</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">Wet/Dry</td>
<td valign="top" align="center">30m/30s</td>
<td valign="top" align="center">26Mar2013</td>
<td valign="top" align="left">Catalina Basin</td>
<td valign="top" align="center">13.9</td>
<td valign="top" align="center">204</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag012</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">Wet/Dry</td>
<td valign="top" align="center">30m/30s</td>
<td valign="top" align="center">21May2013</td>
<td valign="top" align="left">Catalina Basin</td>
<td valign="top" align="center">8.0</td>
<td valign="top" align="center">100</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag015</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">Wet/Dry</td>
<td valign="top" align="center">30m/30s</td>
<td valign="top" align="center">26Feb2016</td>
<td valign="top" align="left">East side of SCI</td>
<td valign="top" align="center">11.7</td>
<td valign="top" align="center">167</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag016</bold>
</td>
<td valign="top" align="center">S</td>
<td valign="top" align="left">SP10-F</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">11Apr2016</td>
<td valign="top" align="left">Catalina I.</td>
<td valign="top" align="center">7.3</td>
<td valign="top" align="center">109</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GgTag018</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">Wet/Dry</td>
<td valign="top" align="center">50m/1min</td>
<td valign="top" align="center">04Apr2017</td>
<td valign="top" align="left">San Nicolas Basin</td>
<td valign="top" align="center">18.6</td>
<td valign="top" align="center">354</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gg-20181120-98368</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">Wet/Dry</td>
<td valign="top" align="center">30m/1min</td>
<td valign="top" align="center">20Nov2018</td>
<td valign="top" align="left">SOAR</td>
<td valign="top" align="center">7.6</td>
<td valign="top" align="center">120</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gg-20190719-102468</bold>
</td>
<td valign="top" align="center">A</td>
<td valign="top" align="left">SP10-A</td>
<td valign="top" align="center">Wet/Dry</td>
<td valign="top" align="center">30m/1min</td>
<td valign="top" align="center">19Jul2019</td>
<td valign="top" align="left">Catalina Basin</td>
<td valign="top" align="center">11.3</td>
<td valign="top" align="center">197</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Tagged within the same group.</p>
<p>SCI, San Clemente Island; SOAR, Southern California Anti-submarine Warfare Range; For age classes, A, Adult; S, Sub-adult; J, Juvenile; for tag type, SP,  SPLASH; A, Argos; F, Fastloc GPS.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Locations received <italic>via</italic> Argos satellite were re-processed by Argos using the Kalman filter to improve location accuracy (<xref ref-type="bibr" rid="B54">Lopez et&#xa0;al., 2014</xref>), uploaded to Movebank (<uri xlink:href="http://www.movebank.org">www.movebank.org</uri>), and then processed using the Douglas Argos-Filter (v10.5.2) with the &#x2018;distance-angle-rate&#x2019; filter (<xref ref-type="bibr" rid="B29">Douglas et&#xa0;al., 2012</xref>). Filtering parameters were set as follows: maximum-redundant-distance at 3 km, maximum sustainable rate at 15 km h<sup>-1</sup>, and the rate coefficient (the angle created by three subsequent points, Ratecoef) at the default of 25. Argos location classes 2 and 3 have an estimated error from Argos of &lt; 500 m (Argos User&#x2019;s Manual) and were automatically retained. Filtered SPLASH-10F tag Fastloc GPS locations (locations with residuals &gt; 35 or time error &gt; +/- 3 min removed) were combined with the tag&#x2019;s Douglas-filtered Argos data to provide the highest resolution location data available for this individual. The cumulative distance traveled during each tag transmission and the straight-line distance from the deployment location were calculated using all locations that passed the filter, regardless of quality.</p>
<p>For dive behavior analyses, Douglas-filtered locations were fit by a continuous-time correlated random walk model (<xref ref-type="bibr" rid="B47">Johnson et&#xa0;al., 2008</xref>) that incorporated Argos ellipse errors (<xref ref-type="bibr" rid="B57">McClintock et&#xa0;al., 2015</xref>) using the <italic>crawl</italic> (v2.2.1) R package (<xref ref-type="bibr" rid="B46">Johnson and London, 2018</xref>; <xref ref-type="bibr" rid="B68">R Core Team, 2021</xref>) to estimate the animal&#x2019;s position at the start time of every dive. Although standard errors ranged from 0 to 26 km for model-estimated locations, a function of Argos location qualities and time between consecutive Douglas-filtered locations, they were considered the best estimate of the animal&#x2019;s position at the start time of each dive. Given these inherent sources of error or uncertainty in our spatial data, we exercised caution when interpreting results associated with data derived from both model-estimated and Douglas-filtered locations.</p>
</sec>
<sec id="s2_1_2">
<title>Environmental data collection</title>
<p>A series of ArcGIS layers were created containing bathymetric, remote sensing, land, and Navy range boundaries. Depth, slope, distances to nearest shore (either islands or mainland) and to the mainland, and assessment of locations within range boundaries were extracted by overlaying tag location data onto raster surfaces or in relation to polygons in ArcGIS v10.7.1 (NAD 1983 UTM Zone 11N) <xref ref-type="bibr" rid="B30">(ESRI, 2019)</xref>. Less than 1% of location estimates were on land according to the raster surfaces&#x2014;a result of poor-quality locations and Risso&#x2019;s use of steep near-shore bathymetry; these were removed from subsequent movement and dive behavioral analyses. For analyses of depth and slope, only Douglas-filtered locations of qualities 2 and 3 were included, given the size of error ellipses associated with lesser quality Argos positions (<xref ref-type="bibr" rid="B54">Lopez et&#xa0;al., 2014</xref>) and the variable nature of depth and slope over a limited geographic area. Bathymetric data were obtained from the 2-min Gridded Global Relief Data (ETOPO2v2) (<xref ref-type="bibr" rid="B61">National Centers for Environmental Information, 2006</xref>). The slope raster was created using the slope surface tool available in ArcGIS Spatial Analyst.</p>
<p>Remote sensing data from the CoastWatch ERDAP server (<uri xlink:href="https://coastwatch.pfeg.noaa.gov/erddap">https://coastwatch.pfeg.noaa.gov/erddap</uri>) were extracted using the <italic>xtractomatic</italic> (v3.3.2) package (<xref ref-type="bibr" rid="B58">Mendelssohn, 2017</xref>) in R, and associated with each Douglas-filtered location for general habitat description and with each dive&#x2019;s <italic>crawl</italic>-modeled location for dive models. Mean sea surface temperature (&#xb0;C) was extracted from the National Oceanic and Atmospheric Administration (Optimum Interpolation Sea Surface Temperature 0.25&#x2da; resolution) with the Advanced Very High Resolution Radiometer sensor which combines both satellite and <italic>in-situ</italic> data to produce daily gap-free composites (<xref ref-type="bibr" rid="B70">Reynolds et&#xa0;al., 2007</xref>). Mean chlorophyll-<italic>a</italic> concentration (mg m<sup>-3</sup>), an indicator of primary productivity, was obtained from the Moderate Resolution Imaging Spectroradiometer on board the Aqua satellite (West U.S., 0.0125&#x2da; resolution); eight-day composites were used to fill in data gaps due to cloud cover. Median values are reported to minimize the effects of outliers.</p>
<p>Solar elevation and lunar phase were calculated for Douglas-filtered and <italic>crawl</italic>-modeled locations using the <italic>oce</italic> (v1.4-0) package (<xref ref-type="bibr" rid="B50">Kelley and Richards, 2020</xref>) in R. A time-of-day classifier was assigned to each record: day (solar elevation &#x2265; -12&#x2da; below the horizon, inclusive of nautical dawn and twilight) and night (&lt; -12&#x2da; below the horizon). Lunar phase was incorporated into each model as a pair of cyclical predictors using the sine and cosine of the calculated lunar phase to estimate the amplitude and phase angle of lunar effects (<xref ref-type="bibr" rid="B27">DeBruyn and Meeuwig, 2001</xref>). To do this, calculated lunar phases were converted into radians where a lunar phase of 0 was 0 radians, 0.5 was &#x3c0; radians, and 1 was 2&#x3c0; radians. Effects from the cosine term describe phase shifts near new and full moons, while effects from the sine term describe phase shifts near the first and last quarters. Seasonal influence was investigated using month (for movement models) and sea surface temperature and residuals from the linear regression of chlorophyll-<italic>a</italic> against sea surface temperature (for dive models), referred to as chlorophyll-<italic>a</italic> residuals (<xref ref-type="bibr" rid="B78">Soldevilla et&#xa0;al., 2011</xref>). The calculation of chlorophyll-<italic>a</italic> residuals was performed using the <italic>glmmTMB</italic> (v1.1.3) R package (<xref ref-type="bibr" rid="B21">Brooks et&#xa0;al., 2017</xref>) and included a random effect to account for differing oceanographic measurements across tagged individuals due to different deployment dates and movements for each individual.</p>
</sec>
</sec>
<sec id="s2_2">
<title>Data analysis</title>
<sec id="s2_2_1">
<title>Movements</title>
<p>Areas of common use were approximated using 50% and 95% kernel density estimation based on the Douglas-filtered locations from all tags using the <italic>adehabitatHR</italic> (v0.4.19) package (<xref ref-type="bibr" rid="B22">Calenge, 2006</xref>) in R. The <italic>adehabitatHR ad hoc</italic> method (function input h = &#x201c;href&#x201d;) for computing the smoothing parameter was used, along with all other default function inputs. For days with more than one filtered location per individual, an average daily position was used to reduce the influence of autocorrelation between multiple locations in a day (<xref ref-type="bibr" rid="B39">Heide-J&#xf8;rgensen et&#xa0;al., 2002</xref>). These kernel density isopleths were plotted in ArcGIS v10.7.1.</p>
<p>Inshore/offshore movements were evaluated using two metrics: distance to shore (included mainland and islands) and distance to mainland (west coast only, excluded islands). These movements were modeled as a function of cyclical lunar phase, month, and time of day using generalized linear mixed models from the <italic>glmmTMB</italic> package (<xref ref-type="bibr" rid="B21">Brooks et&#xa0;al., 2017</xref>). Models were fit as gamma distributions with log link functions and used the maximum likelihood parameter estimation method. Two movement models were created: one with distance to shore as the response variable and the other with distance to mainland as the response variable. To account for autocorrelation within individuals, a random effect was included in all models specifying the tagged individual (or pair of tagged individuals if from the same group). We tagged two individuals within the same encounter, although these individuals were not observed to be closely associated at the time of tagging (tagged 32 min apart, group size = 45, group spread = 300 x 400 m). Following inspection of the animals&#x2019; movements, we used a random effect value indicating periods of associated movements to minimize autocorrelation within this apparent social group. Inspection of a plot of the residual autocorrelation function indicated that this random effect did not sufficiently reduce temporal residual autocorrelation. Thus, we incorporated secondary, nested random effects of different time increments (1, 2, 3, 4, 6, 8, and 12 h) within individuals to account for temporal autocorrelation, selecting the time period that minimized Akaike&#x2019;s information criterion (AIC) for each model. After determining the nested effect that minimized AIC, separate models were created for each possible combination of lunar phase predictors (only cosine, only sine, both cosine and sine), and the model that minimized AIC was chosen as the best-fit model that most accurately described the lunar phase shift.</p>
<p>Within each best-fit model, predictor significance was determined using a Type II Wald Chi-Square Test (&#x3b1; &lt; 0.05) using the ANOVA function from the <italic>car</italic> (v3.0-12) R package (<xref ref-type="bibr" rid="B33">Fox and Weisberg, 2019</xref>). Model predictions were created for the average individual by setting all random effects to zero using the predict.glmmTMB function from the <italic>glmmTMB</italic> package (<xref ref-type="bibr" rid="B21">Brooks et&#xa0;al., 2017</xref>) in R. Prediction plots were created to display the effects of each significant predictor on the response variables using the <italic>patchwork</italic> (v1.1.1), <italic>ggplot2</italic> (v3.3.5) and <italic>ggformula</italic> (v0.10.1) packages (<xref ref-type="bibr" rid="B83">Wickham, 2016</xref>; <xref ref-type="bibr" rid="B48">Kaplan and Pruim, 2020</xref>; <xref ref-type="bibr" rid="B66">Pedersen, 2020</xref>) in R. For these plots, as stated in each figure&#x2019;s caption, the values for other predictors in each model were fixed at the median (continuous variables) or modal value (categorical variables).</p>
</sec>
<sec id="s2_2_2">
<title>Dives</title>
<p>Dive rates were calculated within each day and night period by dividing the number of dives recorded by the duration of BL messages received during the respective day/night periods. We used the <italic>maptools</italic> (v1.1-4) R package (<xref ref-type="bibr" rid="B16">Bivand and Lewin-Koh, 2022</xref>) to determine the times at which the sun crossed the -12 degrees threshold to separate the day and night periods. We then created a generalized linear mixed model of dive rates as a function of time of day (day or night) using the maximum likelihood parameter estimation method from the <italic>glmmTMB</italic> package (<xref ref-type="bibr" rid="B21">Brooks et&#xa0;al., 2017</xref>). This model included a random effect of tagged individual to account for autocorrelation in dive rates, and modeled data were limited to day/night periods during which less than 50% of the period included BL data gaps (n = 25 day and 32 night periods modeled).</p>
<p>Dive duration and maximum depth were each modeled separately using generalized additive mixed models fit as gamma distributions with log link functions using the <italic>gamm4</italic> (v0.2-6) and <italic>MuMIn</italic> (v1.43.17) R packages (<xref ref-type="bibr" rid="B10">Barton, 2020</xref>; <xref ref-type="bibr" rid="B85">Wood and Scheipl, 2020</xref>) and the maximum likelihood parameter estimation method. Dive duration and depth were both modeled as a function of time of day, cyclical lunar phase (as used in the movement models), distance to shore (including islands), sea surface temperature, chlorophyll-<italic>a</italic> residuals, and a smoothed term of either dive depth or duration, respectively, formed <italic>via</italic> shrinkage cubic regression splines with four dimensions of the basis. Dive depth and duration models included the same implementation of nested random effects, and we used the same AIC selection strategy for detecting lunar phase shifts as was used for the movement models described above. Predictor significance was determined using Wald F Tests (&#x3b1; &lt; 0.05) from the <italic>mgcv</italic> (v1.8-38) R package (<xref ref-type="bibr" rid="B84">Wood, 2011</xref>) and model prediction plots were created for the average individual by excluding all random effects using the predict.gam function from the <italic>mgcv</italic> package (<xref ref-type="bibr" rid="B84">Wood, 2011</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Movements</title>
<p>Location data were obtained from 16 Risso&#x2019;s tagged within the Southern California Bight (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Location data were collected across nine years with data collected from every month except October (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Fourteen individuals were tagged near San Clemente or Santa Catalina Islands. Of the two remaining tags, one was deployed near San Diego and one south of Santa Cruz Island (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Individuals of three age classes were tagged: adult (n = 14), sub-adult (n = 1), and juvenile (n = 1). Animals were tracked for a median duration of 10.7 days (range = 0.3&#x2013;19.7) with a combined total of 2,299 locations after Douglas filtering (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). All Risso&#x2019;s remained within the Southern California Bight throughout the duration of tag deployments (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Cumulative straight-line distances between consecutive locations per tag ranged from 14.5 km with an average speed of 0.5 km h<sup>-1</sup> to 1,836.2 km at 3.9 km h<sup>-1</sup> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Distribution of filtered locations (<bold>A</bold>, from 16 tags) and dives (<bold>B</bold>, from 8 tags) across months from satellite tags deployed on Risso<bold>&#x2019;</bold>s dolphins in the Southern California Bight between 2009 &#x2013; 2019. The number of tags that contribute to monthly data are denoted above each bar.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-873548-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of habitat characteristics at filtered Argos locations for individual Risso<bold>&#x2019;</bold>s dolphins.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Tag ID</th>
<th valign="top" align="center">Distance from deployment location (km)</th>
<th valign="top" align="center">Cumulative distance moved (km)</th>
<th valign="top" align="center">Average daily distance traveled (km/day)</th>
<th valign="top" align="center">Distance to shore (km)</th>
<th valign="top" align="center">Distance to mainland (km)</th>
<th valign="top" align="center">Bottom depth (m)</th>
<th valign="top" align="center">Slope (&#x2da;)</th>
<th valign="top" align="center">Chl (mg&#xa0;m<sup>-3</sup>)</th>
<th valign="top" align="center">SST(&#x2da;C)</th>
</tr>
<tr>
<th valign="top" align="center">
</th>
<th valign="top" align="center">
<italic>median(range)</italic>
</th>
<th valign="top" align="center">
</th>
<th valign="top" align="center">
</th>
<th valign="top" align="center">
<italic>median(range)</italic>
</th>
<th valign="top" align="center">
<italic>median(range)</italic>
</th>
<th valign="top" align="center">
<italic>median(range)</italic>
</th>
<th valign="top" align="center">
<italic>median(range)</italic>
</th>
<th valign="top" align="center">
<italic>median(range)</italic>
</th>
<th valign="top" align="center">
<italic>median (range)</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">GgTag001</td>
<td valign="top" align="center">57.0 (9.1&#x2013;138.7)</td>
<td valign="top" align="center">767.3</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">16.8 (1.2&#x2013;39.0)</td>
<td valign="top" align="center">82.6 (50.0&#x2013;112.2)</td>
<td valign="top" align="center">948 (31&#x2013;1,944)</td>
<td valign="top" align="center">4 (0.1&#x2013;11)</td>
<td valign="top" align="center">0.4 (0.2&#x2013;1.4)</td>
<td valign="top" align="center">19 (17&#x2013;21)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag002</td>
<td valign="top" align="center">28.7 (1.4&#x2013;80.4)</td>
<td valign="top" align="center">1,301.0</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">17.2 (3.4&#x2013;35.6)</td>
<td valign="top" align="center">44.1 (11.9&#x2013;85.0)</td>
<td valign="top" align="center">895 (150&#x2013;1,944)</td>
<td valign="top" align="center">4 (0.1&#x2013;11)</td>
<td valign="top" align="center">0.7 (0.2&#x2013;2.3)</td>
<td valign="top" align="center">16 (15&#x2013;17)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag003*</td>
<td valign="top" align="center">62.4 (6.9&#x2013;156.0)</td>
<td valign="top" align="center">1,836.2</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">28.2 (2.2&#x2013;72.3)</td>
<td valign="top" align="center">87.3 (13.4&#x2013;154.9)</td>
<td valign="top" align="center">957 (57&#x2013;1,969)</td>
<td valign="top" align="center">2 (0&#x2013;12)</td>
<td valign="top" align="center">0.4 (0.1&#x2013;1.4)</td>
<td valign="top" align="center">16 (14&#x2013;18)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag004*</td>
<td valign="top" align="center">78.5 (7.4&#x2013;132.6)</td>
<td valign="top" align="center">1,060.4</td>
<td valign="top" align="center">94</td>
<td valign="top" align="center">27.9 (5.9&#x2013;47.9)</td>
<td valign="top" align="center">110.3 (43.3&#x2013;150.1)</td>
<td valign="top" align="center">1082 (103&#x2013;1,900)</td>
<td valign="top" align="center">3 (0.1&#x2013;12)</td>
<td valign="top" align="center">0.6 (0.2&#x2013;1.0)</td>
<td valign="top" align="center">14 (13&#x2013;17)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag005</td>
<td valign="top" align="center">40.3 (2.8&#x2013;63.9)</td>
<td valign="top" align="center">660.4</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">20.1 (1.1&#x2013;46.6)</td>
<td valign="top" align="center">63.9 (30.2&#x2013;100.3)</td>
<td valign="top" align="center">918 (135&#x2013;1,257)</td>
<td valign="top" align="center">2 (0.1&#x2013;7)</td>
<td valign="top" align="center">0.3 (0.2&#x2013;18)</td>
<td valign="top" align="center">14 (14&#x2013;15)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag006</td>
<td valign="top" align="center">41.2 (11.9&#x2013;118.8)</td>
<td valign="top" align="center">204.2</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">39.9 (3.7&#x2013;46.8)</td>
<td valign="top" align="center">47.6 (19.4&#x2013;61.8)</td>
<td valign="top" align="center">893 (193&#x2013;1,185)</td>
<td valign="top" align="center">2 (0.2&#x2013;12)</td>
<td valign="top" align="center">0.3 (0.2&#x2013;0.4)</td>
<td valign="top" align="center">18 (17&#x2013;19)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag008</td>
<td valign="top" align="center">27.8 (3.2&#x2013;78.9)</td>
<td valign="top" align="center">396.2</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">7.1 (1.05&#x2013;26.7)</td>
<td valign="top" align="center">77.6 (34.6&#x2013;95.7)</td>
<td valign="top" align="center">923 (24&#x2013;1,307)</td>
<td valign="top" align="center">4 (0.1&#x2013;13)</td>
<td valign="top" align="center">0.3 (0.2&#x2013;0.4)</td>
<td valign="top" align="center">19 (18&#x2013;20)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag009</td>
<td valign="top" align="center">6.8 (3.3&#x2013;8.2)</td>
<td valign="top" align="center">14.5</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">3.7 (1.6&#x2013;6.5)</td>
<td valign="top" align="center">33.1 (27.0&#x2013;34.5)</td>
<td valign="top" align="center">233 (129&#x2013;518)</td>
<td valign="top" align="center">5 (2&#x2013;7)</td>
<td valign="top" align="center">0.3 (0.2&#x2013;0.4)</td>
<td valign="top" align="center">19 (18&#x2013;19)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag010</td>
<td valign="top" align="center">19.2 (0.4&#x2013;113.4)</td>
<td valign="top" align="center">615.3</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">1.8 (0.02&#x2013;35.3)</td>
<td valign="top" align="center">44.4 (28.6&#x2013;52.4)</td>
<td valign="top" align="center">114 (9&#x2013;1,296)</td>
<td valign="top" align="center">3 (0&#x2013;13)</td>
<td valign="top" align="center">0.7 (0&#x2013;73)</td>
<td valign="top" align="center">15 (15&#x2013;16)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag011</td>
<td valign="top" align="center">54.6 (2.0&#x2013;95.9)</td>
<td valign="top" align="center">1,153.0</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">38.0 (8.5&#x2013;68.2)</td>
<td valign="top" align="center">86.0 (27.7&#x2013;131.7)</td>
<td valign="top" align="center">1,367 (363&#x2013;2,006)</td>
<td valign="top" align="center">3 (0.1&#x2013;14)</td>
<td valign="top" align="center">0.3 (0.2&#x2013;0.8)</td>
<td valign="top" align="center">15 (14&#x2013;16)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag012</td>
<td valign="top" align="center">43.2 (4.6&#x2013;66.9)</td>
<td valign="top" align="center">590.2</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">16.4 (1.58&#x2013;27.7)</td>
<td valign="top" align="center">26.1 (7.5&#x2013;55.9)</td>
<td valign="top" align="center">714 (155&#x2013;1,295)</td>
<td valign="top" align="center">2 (0&#x2013;11)</td>
<td valign="top" align="center">0.3 (0.2&#x2013;0.4)</td>
<td valign="top" align="center">18 (18&#x2013;19)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag015</td>
<td valign="top" align="center">36.0 (7.1&#x2013;73.5)</td>
<td valign="top" align="center">1,031.2</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">18.1 (1.2&#x2013;52.1)</td>
<td valign="top" align="center">90.6 (22.6&#x2013;130.0)</td>
<td valign="top" align="center">1,004 (108&#x2013;1,914)</td>
<td valign="top" align="center">2 (0.1&#x2013;11)</td>
<td valign="top" align="center">0.3 (0.2&#x2013;0.7)</td>
<td valign="top" align="center">17 (15&#x2013;18)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag016</td>
<td valign="top" align="center">33.8 (0.5&#x2013;83.4)</td>
<td valign="top" align="center">804.5</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">18.8 (1.4&#x2013;39.4)</td>
<td valign="top" align="center">39.3 (22.9&#x2013;82.0)</td>
<td valign="top" align="center">711 (31&#x2013;1,906)</td>
<td valign="top" align="center">3 (0&#x2013;7)</td>
<td valign="top" align="center">0.9 (0.4&#x2013;3.6)</td>
<td valign="top" align="center">17 (15&#x2013;18)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag018</td>
<td valign="top" align="center">48.5 (2.0&#x2013;108.0)</td>
<td valign="top" align="center">1,615.4</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">42.9 (0.3&#x2013;93.0)</td>
<td valign="top" align="center">122.4 (44.3&#x2013;178.0)</td>
<td valign="top" align="center">1,078 (71&#x2013;1,890)</td>
<td valign="top" align="center">3 (0&#x2013;13)</td>
<td valign="top" align="center">0.9 (0.3&#x2013;6.6)</td>
<td valign="top" align="center">16 (16&#x2013;18)</td>
</tr>
<tr>
<td valign="top" align="left">Gg-20181120-98368</td>
<td valign="top" align="center">72.9 (6.9&#x2013;83.6)</td>
<td valign="top" align="center">489.8</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">2.3 (0.09&#x2013;41.0)</td>
<td valign="top" align="center">39.5 (29.5&#x2013;106.3)</td>
<td valign="top" align="center">898 (9&#x2013;1,715)</td>
<td valign="top" align="center">4 (0.3&#x2013;12)</td>
<td valign="top" align="center">0.2 (0.1&#x2013;1.3)</td>
<td valign="top" align="center">18 (18&#x2013;19)</td>
</tr>
<tr>
<td valign="top" align="left">Gg-20190719-102468</td>
<td valign="top" align="center">24.6 (2.5&#x2013;60.9)</td>
<td valign="top" align="center">826.7</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">11.8 (0.37&#x2013;27.8)</td>
<td valign="top" align="center">52.5 (5.0&#x2013;95.8)</td>
<td valign="top" align="center">795 (63&#x2013;1,323)</td>
<td valign="top" align="center">3 (0.1&#x2013;12)</td>
<td valign="top" align="center">0.5 (0.3&#x2013;1.0)</td>
<td valign="top" align="center">21 (18&#x2013;22)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Tagged within the same group.</p>
<p>Cumulative horizontal distances were calculated using straight-line distances between filtered locations. Positions that were located on land were removed for habitat values but retained for distance calculations. Only locations with Argos quality 2 and 3 were used for quantifying depth and slope. Chl, Chlorophyll-<italic>a</italic>; NA, not applicable; SST, Sea Surface Temperature.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Movements revealed by satellite tracking showed individual variation within the Southern California Bight: some animals ranged broadly throughout the Bight, while others remained more localized (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Risso&#x2019;s utilized most of the Bight with the 50% core use centered around San Clemente and Santa Catalina Islands and the surrounding basins (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), a pattern likely influenced by tagging location. Tagged dolphins utilized habitat within the boundaries of all four U.S. Navy ranges considered (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). All tags but one were deployed within either the Southern California Range Complex or Point Mugu Sea Range training areas, and 89% of locations fell within these areas, spanning all 11 months that tags transmitted. Fourteen percent of locations fell within the Southern California Anti-submarine Warfare Range and the Shore Bombardment Areas specifically, and dolphins utilized these areas during seven different months of the year.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Core use areas for 16 Risso<bold>&#x2019;</bold>s dolphins tagged in the Southern California Bight from 2009&#x2013;2019 as indicated by 50% (gray line) and 95% (black line) kernel density estimates of the combined location data across tags. Stars represent deployment locations. Kernel density isopleths were derived from one average daily position to minimize autocorrelation bias, and are overlayed on high resolution ETOPOv2 bathymetry in meters. Military training ranges are indicated by colored polygons as follows: Blue = Southern California Range Complex; Purple = Point Mugu Sea Range; Orange = Southern California Anti-submarine Warfare Range; Pink = Shore Bombardment Area.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-873548-g003.tif"/>
</fig>
<p>Details of movement model parameter estimation and significance testing are provided in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. Distance from mainland was significantly predicted by time of day, month, and sine of lunar phase (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B, D</bold>
</xref>), while distance from shore was significantly predicted by month and cosine of lunar phase (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4C, E</bold>
</xref>). Animals were found closer to the mainland during first quarter lunar phase and furthest during the last quarter phase (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). Animals were predicted to be farther from shore during a full moon compared to during a new moon (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>), although 95% confidence intervals were large across all lunar phases. Time of day helped explain differences in distance to mainland, although minimally, with animals closer to mainland during the daylight hours versus night (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Seasonality influenced movements with some variability. Animals were generally closer to land (both mainland and shore) in fall and early winter (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B, C</bold>
</xref>), with closest distances occurring near the islands during that time (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Model results including type II Wald chi-square (movement models) or Wald F (dive models) testing and parameter estimation with associated significance testing.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Response variable</th>
<th valign="top" align="center">Explanatory variable</th>
<th valign="top" colspan="2" align="center">Chi-Square or F testing</th>
<th valign="top" colspan="5" align="center">Model parameter estimation and Significance testing</th>
</tr>
<tr>
<th valign="top" align="center">
</th>
<th valign="top" align="center">
</th>
<th valign="top" align="center">Chisq of F Value</th>
<th valign="top" align="center">p Value</th>
<th valign="top" align="center">Parameter Variable</th>
<th valign="top" align="center">&#x3b2;</th>
<th valign="top" align="center">&#x3b2; Std. Error</th>
<th valign="top" align="center">z Value</th>
<th valign="top" align="center">p Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="13" align="left">Distance to Mainland</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Intercept [Day, April]</td>
<td valign="top" align="center">4.407</td>
<td valign="top" align="center">0.133</td>
<td valign="top" align="center">33.220</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Time of Day</td>
<td valign="top" align="center">18.250</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="left">Night</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">4.270</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="left">Month</td>
<td valign="top" rowspan="10" align="center">36.492</td>
<td valign="top" rowspan="10" align="center">0.000</td>
<td valign="top" align="left">January</td>
<td valign="top" align="center">-3.550</td>
<td valign="top" align="center">0.227</td>
<td valign="top" align="center">-1.560</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">February</td>
<td valign="top" align="center">-1.690</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">-1.090</td>
<td valign="top" align="center">0.276</td>
</tr>
<tr>
<td valign="top" align="left">March</td>
<td valign="top" align="center">-0.290</td>
<td valign="top" align="center">0.100</td>
<td valign="top" align="center">-2.900</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">May</td>
<td valign="top" align="center">-1.163</td>
<td valign="top" align="center">0.291</td>
<td valign="top" align="center">-4.000</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">June</td>
<td valign="top" align="center">-0.406</td>
<td valign="top" align="center">0.195</td>
<td valign="top" align="center">-2.080</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td valign="top" align="left">July</td>
<td valign="top" align="center">-0.209</td>
<td valign="top" align="center">0.170</td>
<td valign="top" align="center">-1.230</td>
<td valign="top" align="center">0.218</td>
</tr>
<tr>
<td valign="top" align="left">August</td>
<td valign="top" align="center">-0.355</td>
<td valign="top" align="center">0.230</td>
<td valign="top" align="center">-1.540</td>
<td valign="top" align="center">0.122</td>
</tr>
<tr>
<td valign="top" align="left">September</td>
<td valign="top" align="center">-1.154</td>
<td valign="top" align="center">0.367</td>
<td valign="top" align="center">-3.140</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">November</td>
<td valign="top" align="center">-0.686</td>
<td valign="top" align="center">0.225</td>
<td valign="top" align="center">-3.050</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">December</td>
<td valign="top" align="center">-0.884</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">-2.730</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">sin (Lunar Phase)</td>
<td valign="top" align="center">18.748</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="left">sin (Lunar Phase)</td>
<td valign="top" align="center">-0.144</td>
<td valign="top" align="center">0.033</td>
<td valign="top" align="center">-4.330</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" rowspan="13" align="left">Distance to Shore</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Intercept [Day, April]</td>
<td valign="top" align="center">3.311</td>
<td valign="top" align="center">0.291</td>
<td valign="top" align="center">11.375</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Time of Day</td>
<td valign="top" align="center">0.215</td>
<td valign="top" align="center">0.643</td>
<td valign="top" align="left">Night</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">0.463</td>
<td valign="top" align="center">0.643</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="left">Month</td>
<td valign="top" rowspan="10" align="center">22.855</td>
<td valign="top" rowspan="10" align="center">0.011</td>
<td valign="top" align="left">January</td>
<td valign="top" align="center">-1.354</td>
<td valign="top" align="center">0.496</td>
<td valign="top" align="center">-2.731</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">February</td>
<td valign="top" align="center">-0.621</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">-1.920</td>
<td valign="top" align="center">0.055</td>
</tr>
<tr>
<td valign="top" align="left">March</td>
<td valign="top" align="center">-0.082</td>
<td valign="top" align="center">0.205</td>
<td valign="top" align="center">-0.399</td>
<td valign="top" align="center">0.690</td>
</tr>
<tr>
<td valign="top" align="left">May</td>
<td valign="top" align="center">-0.835</td>
<td valign="top" align="center">0.643</td>
<td valign="top" align="center">-1.298</td>
<td valign="top" align="center">0.194</td>
</tr>
<tr>
<td valign="top" align="left">June</td>
<td valign="top" align="center">-0.412</td>
<td valign="top" align="center">0.423</td>
<td valign="top" align="center">-0.974</td>
<td valign="top" align="center">0.330</td>
</tr>
<tr>
<td valign="top" align="left">July</td>
<td valign="top" align="center">-0.506</td>
<td valign="top" align="center">-0.370</td>
<td valign="top" align="center">-1.367</td>
<td valign="top" align="center">0.172</td>
</tr>
<tr>
<td valign="top" align="left">August</td>
<td valign="top" align="center">0.083</td>
<td valign="top" align="center">0.483</td>
<td valign="top" align="center">0.172</td>
<td valign="top" align="center">0.863</td>
</tr>
<tr>
<td valign="top" align="left">September</td>
<td valign="top" align="center">-1.716</td>
<td valign="top" align="center">0.778</td>
<td valign="top" align="center">-2.206</td>
<td valign="top" align="center">0.027</td>
</tr>
<tr>
<td valign="top" align="left">November</td>
<td valign="top" align="center">-1.383</td>
<td valign="top" align="center">0.496</td>
<td valign="top" align="center">-2.791</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">December</td>
<td valign="top" align="center">-1.398</td>
<td valign="top" align="center">0.692</td>
<td valign="top" align="center">-2.019</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td valign="top" align="left">cos (Lunar Phase)</td>
<td valign="top" align="center">9.060</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="left">cos (Lunar Phase)</td>
<td valign="top" align="center">-0.185</td>
<td valign="top" align="center">0.062</td>
<td valign="top" align="center">-3.010</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Dive Depth</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Intercept [Day]</td>
<td valign="top" align="center">5.050</td>
<td valign="top" align="center">0.295</td>
<td valign="top" align="center">17.131</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Time of Day</td>
<td valign="top" align="center">103.949</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="left">Night</td>
<td valign="top" align="center">0.242</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">10.196</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">SST</td>
<td valign="top" align="center">3.069</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="left">SST</td>
<td valign="top" align="center">-0.029</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">-1.752</td>
<td valign="top" align="center">0.080</td>
</tr>
<tr>
<td valign="top" align="left">Chlorophyll-<italic>a</italic> Residuals</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.935</td>
<td valign="top" align="left">Chlorophyll-<italic>a</italic> Residuals</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">0.081</td>
<td valign="top" align="center">0.935</td>
</tr>
<tr>
<td valign="top" align="left">Distance to Shore</td>
<td valign="top" align="center">11.793</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="left">Distance to Shore</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">3.434</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">cos (Lunar Phase)</td>
<td valign="top" align="center">20.951</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="left">cos (Lunar Phase)</td>
<td valign="top" align="center">-0.112</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">-4.577</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Dive Duration</td>
<td valign="top" align="center">22255</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="left">Dive Duration</td>
<td valign="top" colspan="4" align="center">Effective degrees of freedom = 2.687</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Dive Duration</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Intercept [Day]</td>
<td valign="top" align="center">1.534</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">8.284</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Time of Day</td>
<td valign="top" align="center">119.230</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="left">Night</td>
<td valign="top" align="center">-0.142</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">-10.919</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">SST</td>
<td valign="top" align="center">2.426</td>
<td valign="top" align="center">0.119</td>
<td valign="top" align="left">SST</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">0.010</td>
<td valign="top" align="center">1.558</td>
<td valign="top" align="center">0.119</td>
</tr>
<tr>
<td valign="top" align="left">Chlorophyll-<italic>a</italic> Residuals</td>
<td valign="top" align="center">0.341</td>
<td valign="top" align="center">0.559</td>
<td valign="top" align="left">Chlorophyll-<italic>a</italic> Residuals</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.584</td>
<td valign="top" align="center">0.559</td>
</tr>
<tr>
<td valign="top" align="left">Distance to Shore</td>
<td valign="top" align="center">8.556</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="left">Distance to Shore</td>
<td valign="top" align="center">-0.001</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">-2.925</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">cos (Lunar Phase)</td>
<td valign="top" align="center">8.405</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="left">cos (Lunar Phase)</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">2.899</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Dive Depth</td>
<td valign="top" align="center">38290</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="left">Dive Depth</td>
<td valign="top" colspan="4" align="center">Effective degrees of freedom = 2.898</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<p>Parameter information for categorical variables is relative to the categories listed in brackets next to each model&#x2019;s intercept term. For the dive models, smooth term effective degrees of freedom are listed in place of model parameter information.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Prediction plots from the fitted models for distance to mainland <bold>(A, B, D)</bold> and distance to shore <bold>(C, E)</bold>. Solid black lines/dots represent mean predicted values with shaded areas/error bars representing the 95% CI. Hash marks along the x-axis shows the spread of data. For the creation of these plots, values for other predictors in each model were set at the median or modal value as follows: time of day = day, month = April, sine of lunar phase = -0.370, cosine of lunar phase = -0.010.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-873548-g004.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Dives</title>
<p>A total of 1,469 h of BL data were recorded (n = 8 tags, range = 0.87&#x2013;428.3 h per tag) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Dive data were collected in seven different months across five years from eight of the 16 tagged individuals (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). These data were comprised of 3,071 dives with a grand median (median of all tag medians) depth of 101 m (max = 528 m) and a grand median dive duration of 5.6 min (max = 11.1 min) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The maximum dive depth recorded for each dolphin ranged from 148&#x2013;656 m (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>); the longest dive, 16.1 min, was down to 64 m at night. Dives beyond 500 m depth were conducted during both day and night hours, as demonstrated by a sample two-day dive trace (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>), with comparable frequency (7% of total dives in each period). Animals dove more frequently at night than during the day (p = 8.14e-07), with night and day dive rates at 5.21 (SE = 0.5) and 2.73 (SE = 0.5) dives per hour, respectively. Shallow dives (&lt; 100 m) were more frequent during the day (63%, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>) versus night (35%, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Across all years and months, Risso&#x2019;s were documented in median sea surface temperatures of 17&#x2da;C (range = 13&#x2013;22&#x2da;C), with the coolest temperatures in June 2010 and warmest in July 2019 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The median chlorophyll-<italic>a</italic> concentration was 0.4 mg m<sup>-3</sup> (range = 0&#x2013;73) with the lowest and highest concentrations in January 2012 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Summary of dive parameters by individual of eight Risso&#x2019;s dolphins satellite-tagged within the Southern California Bight.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Whale ID</th>
<th valign="top" align="center">Total behavior log data (h)</th>
<th valign="top" colspan="3" align="center">Dives</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th valign="top" align="center">
<italic>No. dives for analyses</italic>
</th>
<th valign="top" align="center">
<italic>Duration (min.) median (range)</italic>
</th>
<th valign="top" align="center">
<italic>Depth (m) median (range)</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">GgTag008</td>
<td valign="top" align="center">81.8</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">3.7 (1.1&#x2013;9.3)</td>
<td valign="top" align="center">59 (30&#x2013;608)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag009</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5.3 (4.4&#x2013;5.9)</td>
<td valign="top" align="center">124 (42&#x2013;132)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag011</td>
<td valign="top" align="center">299.5</td>
<td valign="top" align="center">405</td>
<td valign="top" align="center">6.2 (0.9&#x2013;13.8)</td>
<td valign="top" align="center">152 (30&#x2013;624)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag012</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">11.1 (5.4&#x2013;11.4)</td>
<td valign="top" align="center">528 (90&#x2013;560)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag015</td>
<td valign="top" align="center">259.8</td>
<td valign="top" align="center">195</td>
<td valign="top" align="center">5.8 (1.0&#x2013;16.1)</td>
<td valign="top" align="center">74 (30&#x2013;576)</td>
</tr>
<tr>
<td valign="top" align="left">GgTag018</td>
<td valign="top" align="center">428.3</td>
<td valign="top" align="center">1285</td>
<td valign="top" align="center">6.4 (1.4&#x2013;11.1)</td>
<td valign="top" align="center">232 (50&#x2013;656)</td>
</tr>
<tr>
<td valign="top" align="left">Gg-20181120-98368</td>
<td valign="top" align="center">169.5</td>
<td valign="top" align="center">470</td>
<td valign="top" align="center">4.0 (1.1&#x2013;11.0)</td>
<td valign="top" align="center">72 (30&#x2013;592)</td>
</tr>
<tr>
<td valign="top" align="left">Gg-20190719-102468</td>
<td valign="top" align="center">228.4</td>
<td valign="top" align="center">590</td>
<td valign="top" align="center">5.2 (1.1&#x2013;11.1)</td>
<td valign="top" align="center">78 (30&#x2013;608)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>
<bold>(A)</bold> Sample two-day dive trace from a Risso<bold>&#x2019;</bold>s dolphin in the Southern California Bight with the time of day denoted by dots for day (yellow) and night (blue). Blanks indicate periods where there are gaps in the data. Extended surface time is indicated by a straight horizontal line along 0 m. <bold>(B)</bold> Distribution of dive depth estimates for all dive tags during the day and night. For both plots, time of day was defined by a solar altitude (&#x2265; -12 degrees for day and &lt; -12 degrees for night), which was calculated for every dive start at the modeled location estimate closest in time.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-873548-g005.tif"/>
</fig>
<p>Details of dive model parameter estimation and significance testing are provided in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. Dive depth was significantly predicted by dive duration, time of day, distance to shore, and cosine of the lunar phase (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Dive duration was significantly predicted by dive depth, time of day, distance to shore, and cosine of lunar phase (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Dives were deeper and shorter at night than during the day (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B</bold>
</xref>, <xref ref-type="fig" rid="f7"><bold>7B</bold></xref>), when dolphins were further offshore (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6C</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>7C</bold>
</xref>), and during a full versus a new moon, respectively (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6D</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>7D</bold>
</xref>). Wide 95% confidence intervals for dive depth and duration as a function of lunar phase reflect low sample sizes at some lunar phases (see hash marks along x-axis of (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6D</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>7D</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Prediction plots of significant variables <bold>(A&#x2013;D)</bold> from the models of dive depth. Solid black lines/dots represent mean predicted values with shaded areas/error bars representing the 95% CI. Hash marks along the x-axis shows the spread of data. For the creation of these plots, values for other predictors in each model were set at the median or modal value as follows: time of day = night, Chl residuals = -0.008, SST = 15.81, distance to shore = 24.68 km, sine of lunar phase = -0.736, cosine of lunar phase = -0.435, dive duration = 5.6 min. Chl, Chlorophyll-<italic>a</italic> (mg m-3); SST, Sea Surface Temperature (&#xb0;C).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-873548-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Prediction plots of significant variables <bold>(A&#x2013;D)</bold> from the models of dive duration. Solid black lines/dots represent mean predicted values with shaded areas/error bars representing the 95% CI. Hash marks along the x-axis shows the spread of data. For the creation of these plots, values for other predictors in each model were set at the median or modal value as follows: time of day = night, Chl residuals = -0.008, SST = 15.81, distance to shore = 24.68 km, cosine of lunar phase = -0. 435, dive depth = 123.5 m. Chl, Chlorophyll-a (mg m-3); SST, Sea Surface Temperature (&#xb0;C).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-873548-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>As regular inhabitants of the Southern California Bight, Risso&#x2019;s have been frequently documented on line-transect surveys throughout the region (e.g., <xref ref-type="bibr" rid="B8">Barlow and Forney, 2007</xref>; <xref ref-type="bibr" rid="B43">Jefferson et&#xa0;al., 2014a</xref>) and across seasons in recent years (e.g., <xref ref-type="bibr" rid="B72">Schorr et&#xa0;al., 2019</xref>). Habitat used by tagged dolphins in this study ranged from the deep waters of the numerous basins to the shallow waters inshore of San Clemente and Santa Catalina Islands along the mainland coast (9&#x2013;2,006 m), with Argos locations sometimes clustered around steep slope features (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Globally, densities of Risso&#x2019;s appear higher over the outer continental shelf and upper regions of the continental slope (<xref ref-type="bibr" rid="B45">Jefferson et&#xa0;al., 2014b</xref>). The patchy distribution and local abundance of this species may be driven by enhanced productivity associated with currents and upwellings characteristic of these steep topographic areas (<xref ref-type="bibr" rid="B52">Kruse et&#xa0;al., 1999</xref>). Outside of the Southern California Bight, they are documented in various habitats ranging from shallow waters such as 2&#x2013;5 m in Monterey Bay, CA (<xref ref-type="bibr" rid="B45">Jefferson et&#xa0;al., 2014b</xref>) to offshore pelagic waters of Hawai'i in depths exceeding 3,000 m (<xref ref-type="bibr" rid="B7">Baird, 2016</xref>). In the Azores around Pico Island, they can be found from 0&#x2013;10 km from shore (<xref ref-type="bibr" rid="B38">Hartman et&#xa0;al., 2016</xref>) where steeply sloped nearshore topography results in water depths increasing from 200 m to 1000 m within 5 km (<xref ref-type="bibr" rid="B37">Hartman et&#xa0;al., 2008</xref>).</p>
<p>While relatively short deployment durations of this study preclude any meaningful discussion of large-scale movements into and out of the Southern California Bight, they do provide new insights into localized movements. Changes in Risso&#x2019;s density indicate latitudinal seasonal shifts occur along the U.S. west coast (<xref ref-type="bibr" rid="B36">Green et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B32">Forney and Barlow, 1998</xref>). In the Bight, Santa Catalina Island has repeatedly been identified as important habitat for Risso&#x2019;s (<xref ref-type="bibr" rid="B73">Shane, 1995a</xref>; <xref ref-type="bibr" rid="B74">Shane, 1995b</xref>; <xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>), with acoustic detections occurring on 75% of the days at a site on the south end of the island (<xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>). The near year-round acoustic presence at Santa Catalina Island may suggest that an island-associated population exists and/or a greater Southern California Bight resident population, with possible seasonal influx from a larger migratory population (<xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>). In this study, all Risso&#x2019;s were tagged in the outer waters (defined as waters offshore of the mainland coast) of the Southern California Bight, mainly in the greater surrounding waters of the outer Channel Islands. Nearly all individuals spent at least some of their time within the shallower nearshore waters of these islands (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Of the 16 Risso&#x2019;s, 12 approached within 20 km of Santa Catalina Island (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), in all seasons and in eight different years. Of these 12, only half were tagged within 20 km of this island (min = 3 km). All but one of these six tags also left this island; the brief transmission for the sixth tag prevents further discussion of its movements. In fact, the only animal out of the 16 that demonstrated close association with Santa Catalina Island for most of its tag transmission was actually tagged in the San Nicolas Basin on the west side of San Clemente Island. While these tags may not confirm or refute the presence of island-associated individuals or populations, they do further demonstrate the importance of Santa Catalina Island for the broader, regional population throughout the year.</p>
<p>While animals in this study were tagged in all but one month of the year, all remained within the Southern California Bight despite demonstrating varied and often highly mobile movement patterns, and most remained relatively local to their tagging location (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), suggesting year-round residence within the Bight is plausible. Alternatively, if some of these individuals were members of the larger Washington-Oregon-California migratory stock, it is entirely feasible that the limited number of tags and their generally short durations simply did not capture movements out of this region. Unfortunately, durations like these are not uncommon for remotely deployed tags on small cetaceans, where factors including surface activity, interactions with conspecifics, and the challenge of achieving optimal tag placement often lead to premature detachments.</p>
<p>The seasonality of inshore/offshore movements were most apparent when considering distance to any landmass, rather than to the mainland coast. According to our models, Risso&#x2019;s were significantly closer to land, though this was typically an island, from September through January (p &lt; 0.05). Although market squid spawn in the Southern California Bight year-round (<xref ref-type="bibr" rid="B62">Navarro et&#xa0;al., 2018</xref>), concentrated spawning aggregations occur nearshore over shallow sandy substrate in southern California along the mainland coast and the Channel Islands (<xref ref-type="bibr" rid="B87">Zeidberg et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B80">Van Noord, 2017</xref>) from October through April/May (<xref ref-type="bibr" rid="B31">Fields, 1965</xref>). Past observational research suggested that both Risso&#x2019;s and short-finned pilot whales (<italic>Globicephala macrorhynchus</italic>), another squid-eating species common within the Southern California Bight prior to the 1982&#x2013;83 El Ni&#xf1;o event, shift into the Channel Islands during the winter months to feed on spawning market squid (<xref ref-type="bibr" rid="B75">Sinclair, 1992</xref>; <xref ref-type="bibr" rid="B74">Shane, 1995b</xref>). Our data suggest this seasonal, prey-driven shift has continued in the decades since. These may be fine-scale, localized shifts by animals that remain within the greater Southern California Bight throughout the year, those of migratory animals shifting into the Bight, or both.</p>
<p>While earlier research in the Bight suggested that Risso&#x2019;s foraged at night (<xref ref-type="bibr" rid="B73">Shane 1995a</xref>; <xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>) with slow travel/rest the predominant daytime behaviors (<xref ref-type="bibr" rid="B74">Shane, 1995b</xref>; <xref ref-type="bibr" rid="B76">Smultea et&#xa0;al., 2018</xref>), more recent studies have documented daytime foraging excursions (<xref ref-type="bibr" rid="B3">Arranz et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B2">Arranz et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>). Dives in excess of 500 m recorded on these tags occurred across all times of day (max = 607 m day, 656 m night) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>) and are comparable to results from <xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al. (2019)</xref>. Dives were predicted to be 1.27 times deeper (<italic>e</italic>
<sup>&#x3b2;</sup>; &#x3b2; = 0.24, SE = 0.02, p-value &lt; 2e-16) and 4.70 times shorter (<italic>e</italic>
<sup>&#x3b2;</sup>; &#x3b2; = -0.14, SE = 0.01, p-value &lt; 2e-16) at night versus day (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>7B</bold>
</xref>), and to occur nearly twice as often. This depth difference is potentially driven by both a greater number of dives at &lt; 100 m depth during the day (63% day versus 35% night) and &gt; 100 m at night (65% night versus 37% day) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). These results would align with increased nighttime foraging activities that have been described previously (<xref ref-type="bibr" rid="B77">Soldevilla et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B2">Arranz et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>). While <xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al. (2019)</xref> documented elevated Risso&#x2019;s echolocation in shallow waters at night, we are unable to make further comparisons due to the limited temporal and spatial coverage of acoustic data and the lack of nighttime tag data from that study.</p>
<p>Described as dynamic foragers, Risso&#x2019;s target different prey layers, switching between shallow water generalist and deep water specialist strategies (<xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>) and appear to consider optimal energy investments and tradeoffs prior to the next dive (<xref ref-type="bibr" rid="B3">Arranz et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B81">Visser et&#xa0;al., 2021</xref>). Jumbo squid are at depths &gt; 250 m during the day, travel to near-surface waters at dusk, and then demonstrate highly variable dive behavior until they presumably find a zone to exploit for food (<xref ref-type="bibr" rid="B34">Gilly et&#xa0;al., 2006</xref>). In Hawai'i, the mesopelagic layer migrates from the 400&#x2013;700 m depth during daylight hours to 0&#x2013;400 m at night, though pilot whales appear to target the deeper 400 m layer at night, potentially in search of higher caloric prey (<xref ref-type="bibr" rid="B65">Owen et&#xa0;al., 2019</xref>). In the Azores, Risso&#x2019;s target two deep scattering layers, a broad one at 500&#x2013;700 m and a narrow one at 400 m, with both layers performing diel vertical migration (<xref ref-type="bibr" rid="B81">Visser et&#xa0;al., 2021</xref>). Off Santa Catalina Island, Risso&#x2019;s were detected in three layers: a deep static layer at 450 m, a mid-water migrating layer at 100&#x2013;300 m, and an intermittent shallow layer at 50 m along with scattered patches consisting of fish and squid (<xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>). It&#x2019;s possible that Risso&#x2019;s utilize the photic advantage of daylight to capitalize on the low energetic costs of shallow layer exploitation in between bouts of deep layer explorations (the switching behavior documented in <xref ref-type="bibr" rid="B15">Benoit-Bird et&#xa0;al., 2019</xref>) and thereby conserve energy for nighttime hunts that are directed at preferential prey, such as jumbo squid, that while vertically migratory, are not necessarily reaching shallow waters throughout the nighttime hours.</p>
<p>Lunar phase has been linked to changes in zooplankton biomass (<xref ref-type="bibr" rid="B40">Hern&#xe1;ndez-Le&#xf3;n et&#xa0;al., 2002</xref>) and depth (<xref ref-type="bibr" rid="B19">Boden and Kampa, 1967</xref>) and horizontal displacement in the mesopelagic layer in Hawai&#x2bb;i (<xref ref-type="bibr" rid="B13">Benoit-Bird et&#xa0;al., 2009</xref>). In this study, lunar phase predicted both horizontal and vertical shifts, albeit with large confidence intervals. Risso&#x2019;s were located 1.45 times further away from shore (including islands) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>) during a full moon than a new moon, a pattern similar to that observed in Hawaiian pilot whales (<xref ref-type="bibr" rid="B65">Owen et&#xa0;al., 2019</xref>). Lunar phase has been associated with changing use of the water column in Cuvier&#x2019;s beaked whales <italic>(Ziphius cavirostris)</italic> (<xref ref-type="bibr" rid="B9">Barlow et&#xa0;al., 2020</xref>) and jumbo squid (<xref ref-type="bibr" rid="B34">Gilly et&#xa0;al., 2006</xref>), and like the Risso&#x2019;s tagged in this study, pilot whales (<xref ref-type="bibr" rid="B65">Owen et&#xa0;al., 2019</xref>), Gal&#xe1;pagos fur seals <italic>(Arctocephalus galapagoensis)</italic> (<xref ref-type="bibr" rid="B41">Horning and Trillmich, 1999</xref>), and bigeye tuna <italic>(Thunnus obesus)</italic> (<xref ref-type="bibr" rid="B60">Musyl et&#xa0;al., 2003</xref>) all appear to use deeper waters during a full moon. Full moon light levels at 100&#x2013;150 m are equivalent to mid-day light levels at ~500 m (<xref ref-type="bibr" rid="B26">Clarke and Denton, 1962</xref>). Deep scattering layer species seek lower light levels to avoid predators, and are thus found at deeper depths during brightly moonlit nights (<xref ref-type="bibr" rid="B19">Boden and Kampa, 1967</xref>), increasing use of near-surface waters at night as the moon wanes (<xref ref-type="bibr" rid="B40">Hern&#xe1;ndez-Le&#xf3;n et&#xa0;al., 2002</xref>). It may be a cost-effective strategy for Risso&#x2019;s to pursue prey at deeper depths around a full moon&#x2014;as suggested by our model&#x2014;when layers may provide additional biomass to target. The question also should be raised whether changes in dive behavior associated with lunar phases are driven by illumination levels themselves, or whether they are the result of an endogenous signal that is associated with the 29.5 day lunar cycle, or a combination of both. It seems plausible that light may have significant biological influence on marine systems with predominantly clear water and skies but in geographic locations where waters are more turbid and skies are obscured by clouds for at least part of the year, as they are in the Southern California Bight (e.g., <xref ref-type="bibr" rid="B67">Rastogi et&#xa0;al., 2016</xref>), an endogenous cue may play a more significant role. In (<xref ref-type="bibr" rid="B13">Benoit-Bird et&#xa0;al., 2009</xref>), lunar phase accounted for more variability in micronekton migration than surface irradiance, suggesting that lunar effects other than light levels effect these prey, and in turn, the predators that pursue them.</p>
<p>Results from this study suggest seasonal trends in movements, demonstrate year-round presence within the Bight, and further describes lunar and diel influences on behavior. We have presented our statistical findings and suggest biological explanations based on findings in the literature. However, we must acknowledge that statistical significance according to model output should be interpreted with caution from a biological perspective, as these data have limitations. Although several of these tags lasted nearly three weeks, the kernel density analysis was likely biased by deployment location. In addition to sample size limitations, some of these data included gaps from failed transmission and from short tag durations that didn&#x2019;t span across seasons and lunar phases. The effects of Argos location quality and resolution, and the resulting prediction errors from modeled animal tracks based on Argos data, further limit interpretation of these results. While we filtered Argos locations to reduce error before using them in standardized movement models, predicted locations had standard errors ranging from 0 to 26 km. There were occasional adjustments to tag programming to optimize data collection that may have affected some statistics. When looking at environmental variables such as sea surface temperature and chlorophyll-<italic>a</italic>, <bold>
<italic>in-situ</italic>
</bold> measurements collected around an animal is the only way to provide accurate, real-time representation of that variable with high resolution, but this was not available for these tags. Remote sensing can capture patterns in these data over a broad spatial region, but cloud cover is an inherent limitation. Although we were able to combine a remote sensing and an <bold>
<italic>in-situ</italic>
</bold> dataset to derive sea surface temperature at modeled locations, we had to create 8-day averaged composites for chlorophyll-<italic>a</italic> to create gap free composites. This mismatch in resolution between animal location estimates and environmental variables is another potential source of error. It should be noted that remote sensing can underestimate values for chlorophyll-<italic>a</italic> and sea surface temperature (<xref ref-type="bibr" rid="B35">Gomez et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B49">Keates et&#xa0;al., 2020</xref>), and absolute values should be interpreted with caution. These aforementioned factors may have influenced the significance of these predictors in the dive models.</p>
<p>We believe one of the greatest values of these analyses are their ability to aid formulation of new hypotheses and research directions. Additional targeted data collection will strengthen model results and allow for more concrete biological interpretations of these findings. Deployments in other regions of the Southern California Bight as well as during specific periods where data gaps currently exist [e.g., gaps in month (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) and lunar phase (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>)] would provide a more comprehensive regional dataset. The short duration of these tags highlights the need for more tag development to improve attachment while continuing to minimize impact. A regional photo-identification catalog, genetic analyses, and the use of medium-duration, dart attached archival acoustic tags (e.g., <xref ref-type="bibr" rid="B79">Sweeney et&#xa0;al., 2022</xref>) along with prey mapping would provide meaningful connections between the existing research within this region. It is our hope that this work will foster purposeful discussions and ideas for future work to manage and protect this species.</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="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by Cascadia Research Collective Institutional Animal Care and Use Committee.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>BR, EF, GS, and SW conducted the fieldwork. BR, GS, and DS conducted the data analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>Funding for fieldwork and tags was provided by the U.S. Navy, Pacific Fleet (N66604-14-C-0145, N66604-18-P-2187) and <italic>via</italic> the Californian Cooperative Ecosystems Studies Unit (N62473-19-2-0025), the Chief of Naval Operations Environmental Readiness Division (N45) <italic>via</italic> a grant from the Naval Postgraduate School (Grant No. N000244-10-1-0050) and the Environmental Security Technology Certification Program (N66604-14-C-2438). Additional support was provided by the Office of Naval Research and the Living Marine Resources program.</p>
</sec>
<sec id="s9" sec-type="acknowledgement">
<title>Acknowledgments</title>
<p>We would like to thank the U.S. Navy, Pacific Fleet, N45, the Environmental Security Technology Certification Program, the Living Marine Resources program, and the Office of Naval Research for support of this research. We thank all participants from the Marine Mammal Monitoring on Navy Ranges program at the Naval Undersea Warfare Center, Jeff Foster for contributions in the field, and the Naval Postgraduate School and Californian Cooperative Ecosystems Studies Unit for contract facilitation. We thank Stacy DeRuiter for assistance with analyses and Chip Johnson, Jessica Chen, and Shannon Coates and three reviewers for their thoughtful comments and suggestions. This study was conducted under U.S. National Marine Fisheries permits No. 540-1811, 16111, 15330, 20605. Tagging was approved by the Cascadia Research Collective Institutional Animal Care and Use Committee.</p>
</sec>
<sec id="s10" 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="s11" 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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