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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.2017.00197</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>Spatial and Temporal Variation in the Acoustic Habitat of Bottlenose Dolphins (<italic>Tursiops aduncus</italic>) within a Highly Urbanized Estuary</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Marley</surname> <given-names>Sarah A.</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/388219/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Erbe</surname> <given-names>Christine</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/438194/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Salgado Kent</surname> <given-names>Chandra P.</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Parsons</surname> <given-names>Miles J. G.</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Parnum</surname> <given-names>Iain M.</given-names></name>
</contrib>
</contrib-group>
<aff><institution>Centre for Marine Science and Technology, Curtin University</institution> <country>Perth, WA, Australia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Davide Borelli, Universit&#x000E0; di Genova, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Gianni Pavan, University of Pavia, Italy; Nikolaos Kourogenis, University of Piraeus, Greece</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Sarah A. Marley <email>sarah.marley86&#x00040;gmail.com</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Ocean Engineering, Technology, and Solutions for the Blue Economy, a section of the journal Frontiers in Marine Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>06</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>4</volume>
<elocation-id>197</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>01</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>06</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Marley, Erbe, Salgado Kent, Parsons and Parnum.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Marley, Erbe, Salgado Kent, Parsons and Parnum</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) or licensor 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>There is growing awareness of underwater noise in a variety of marine habitats, and how such noise may adversely affect marine species. This is of particular concern for acoustically-specialized species, such as dolphins. In order to ascertain the potential impacts of anthropogenic noise on these animals, baseline information is required for defining the soundscape of dolphin habitats. The Swan-Canning River system in Western Australia flows through the city of Perth, and experiences numerous anthropogenic activities. Despite this, the river system is home to a community of Indo-Pacific bottlenose dolphins (<italic>Tursiops aduncus</italic>). To provide a baseline soundscape description of dolphin habitat, over 11,600 h of acoustic data were analyzed from five sites within the Swan River (from Fremantle Inner Harbor to 20 km upstream) across an 8-year period. Multiple sound sources were recorded at these sites, including: snapping shrimp; fishes; dolphins; pile-driving; bridge and road traffic; and vessel traffic. The two most prevalent sound sources, vessel traffic and snapping shrimp, likely have very different effects on dolphin communication with the former expected to be more disruptive. Sites were characteristic in their prominent sound sources, showing clear among-site variations, with some sites being &#x0201C;noisier&#x0201D; than others based on broadband noise levels, octave-band noise levels, and power spectrum density percentiles. Perth Waters had the highest broadband noise (10&#x02013;11 kHz; median 113 dB re 1 &#x003BC;Pa rms), whilst Heirisson Island was quietest (median 100 dB re 1 &#x003BC;Pa rms). Generalized estimating equations identified variation in broadband noise levels within sites at a fine temporal scale, although sites differed in the significance of temporal variables. At Mosman Bay, a long-term dataset spanning eight years highlighted inter-annual variation in broadband noise levels, but no overall upwards or downwards trend over time. Acoustic habitats of the Swan River displayed significant variations at a variety of temporal and spatial scales throughout areas frequented by the local dolphin community. Such variations should be quantified when assessing dolphin acoustic habitat as they may provide significant clues to dolphin behavior.</p></abstract>
<kwd-group>
<kwd>underwater soundscape</kwd>
<kwd>spatio-temporal variation</kwd>
<kwd>anthropogenic noise</kwd>
<kwd>Indo-Pacific bottlenose dolphins</kwd>
</kwd-group>
<counts>
<fig-count count="11"/>
<table-count count="2"/>
<equation-count count="1"/>
<ref-count count="99"/>
<page-count count="19"/>
<word-count count="11946"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Marine habitats are characterized by a unique combination of topographic structures, environmental conditions, and species compositions. These features contribute, either directly or indirectly, to the acoustic conditions of a particular environment as abiotic (e.g., wind, waves, precipitation, ice break-up, earthquakes) and biotic (e.g., crustaceans, fishes, marine mammals) sound sources. Habitats with human activities also have the added contribution of anthropogenic sound sources. As a result, the &#x0201C;soundscape&#x0201D; of any particular habitat varies in space and time depending on the prevalence of the sound sources within it (Krause, <xref ref-type="bibr" rid="B48">2008</xref>; Pijanowski et al., <xref ref-type="bibr" rid="B69">2011</xref>).</p>
<p>The distribution and occurrence of marine species is often related to physical features, such as depth, seafloor slope, or proximity to shore (Forney, <xref ref-type="bibr" rid="B33">2000</xref>; Ca&#x000F1;adas et al., <xref ref-type="bibr" rid="B12">2002</xref>; Elwen and Best, <xref ref-type="bibr" rid="B20">2004</xref>; Elwen et al., <xref ref-type="bibr" rid="B21">2006</xref>). In other cases, species occurrence may be linked with more transient environmental variables, such as sea surface temperature, salinity, or primary productivity (Forney, <xref ref-type="bibr" rid="B33">2000</xref>; Azzellino et al., <xref ref-type="bibr" rid="B3">2008</xref>; Mannocci et al., <xref ref-type="bibr" rid="B50">2014</xref>). Given the acute attenuation of light in water, many marine organisms rely on acoustics to investigate their environment (Nybakken and Bertness, <xref ref-type="bibr" rid="B63">2005</xref>). As a result, introduced anthropogenic underwater noise has been increasingly recognized to act as a chronic, environmental stressor, which can affect both individual animals and ecosystem linkages (Weilgart, <xref ref-type="bibr" rid="B90">2007</xref>; Hatch and Fristrup, <xref ref-type="bibr" rid="B40">2009</xref>; Erbe, <xref ref-type="bibr" rid="B24">2010</xref>; Boyd et al., <xref ref-type="bibr" rid="B9">2011</xref>; Wright et al., <xref ref-type="bibr" rid="B95">2011</xref>; Erbe et al., <xref ref-type="bibr" rid="B30">2014</xref>; Finneran, <xref ref-type="bibr" rid="B32">2015</xref>; Williams et al., <xref ref-type="bibr" rid="B93">2015b</xref>). Thus, for acoustically-specialized fauna, species occurrence may also be influenced by the soundscape of a marine habitat.</p>
<p>Of the acoustically-specialized marine fauna, cetaceans show some of the most elaborate and extreme adaptations for auditory perception and sound production underwater (Tyack and Miller, <xref ref-type="bibr" rid="B88">2002</xref>). Using sound allows these animals to overcome the challenges of limited vision to fulfill a series of vital processes, such as orientation, communication, and foraging. However, these auditory adaptations also make cetaceans especially susceptible to the impacts of anthropogenic noise. The potential effects of underwater noise on cetaceans are widely recognized, ranging from minimal short-term effects to severe long-term effects (Richardson et al., <xref ref-type="bibr" rid="B76">1995</xref>; Nowacek et al., <xref ref-type="bibr" rid="B62">2007</xref>; Southall et al., <xref ref-type="bibr" rid="B83">2007</xref>; Tyack, <xref ref-type="bibr" rid="B87">2008</xref>). At low levels often corresponding with long ranges from the source, anthropogenic noise may be merely detectable by marine mammals. At higher levels, noise may interfere with animal communication and acoustic signal detection, or cause displacement, behavioral disturbance or induce stress. In extreme cases, acoustic exposure might even lead to hearing loss or physical injury (Erbe, <xref ref-type="bibr" rid="B25">2012</xref>).</p>
<p>Coastal areas are among those marine habitats most at risk from human activities (McIntyre, <xref ref-type="bibr" rid="B55">1999</xref>; Moore, <xref ref-type="bibr" rid="B58">1999</xref>). As a result, coastal species&#x02014;such as bottlenose dolphins (<italic>Tursiops</italic> sp.)&#x02014;are among those marine fauna most vulnerable to anthropogenic threats (Thompson et al., <xref ref-type="bibr" rid="B86">2000</xref>; DeMaster et al., <xref ref-type="bibr" rid="B15">2001</xref>). In coastal habitats, the most ubiquitous source of anthropogenic underwater noise is vessel traffic, which has resulted in numerous dolphin behavioral response studies. Results have found evidence of physical and acoustical changes to dolphin behavior, such as alterations to inter-breath intervals, inter-animal distances, movement patterns, activity states, whistle duration or rates, and frequency shifts in whistle characteristics, among others (Hastie et al., <xref ref-type="bibr" rid="B39">2003</xref>; Buckstaff, <xref ref-type="bibr" rid="B11">2004</xref>; Bejder et al., <xref ref-type="bibr" rid="B8">2006</xref>; Lusseau, <xref ref-type="bibr" rid="B49">2006</xref>; Nowacek et al., <xref ref-type="bibr" rid="B62">2007</xref>; Weilgart, <xref ref-type="bibr" rid="B90">2007</xref>; Ellison et al., <xref ref-type="bibr" rid="B19">2012</xref>; Steckenreuter et al., <xref ref-type="bibr" rid="B85">2012</xref>; New et al., <xref ref-type="bibr" rid="B61">2013</xref>; Pirotta et al., <xref ref-type="bibr" rid="B71">2015</xref>; Heiler et al., <xref ref-type="bibr" rid="B42">2016</xref>). Significant changes to foraging success or energy demands (from altered movement, behavior or vocal production patterns) could also affect individual health, reproductive rates, or even long-term population survival. This is of particular concern for small dolphin communities, which tend to exhibit naturally low reproductive rates (Wilson et al., <xref ref-type="bibr" rid="B94">1999</xref>; Ross, <xref ref-type="bibr" rid="B79">2006</xref>). Therefore, knowledge regarding the response of dolphins to vessel traffic is of relevance to managers regulating activities in coastal areas.</p>
<p>However, in order to ascertain the potential impacts of anthropogenic noise on cetacean distribution, population dynamics, and behavior, there is first a requirement for baseline information defining the soundscape of cetacean habitats. Such baseline studies involve describing the habitat in terms of prominent sound sources, levels of acoustic energy in particular frequency bands, and patterns of ambient and anthropogenic noise (e.g., Parks et al., <xref ref-type="bibr" rid="B65">2009</xref>; Erbe et al., <xref ref-type="bibr" rid="B30">2014</xref>; Rice et al., <xref ref-type="bibr" rid="B75">2014</xref>; Guan et al., <xref ref-type="bibr" rid="B37">2015</xref>). Once identified, the acoustic characteristics of critical cetacean habitats can be further examined to determine the potential impact of man-made noise. Such studies can go on to inform management decisions regarding human-use of these areas, and determine whether conservation efforts are best directed toward &#x0201C;fixing&#x0201D; noisy habitats or preserving the remaining quiet areas (Erbe et al., <xref ref-type="bibr" rid="B30">2014</xref>; Williams et al., <xref ref-type="bibr" rid="B91">2014</xref>, <xref ref-type="bibr" rid="B92">2015a</xref>). Given that the underwater soundscape contains sounds driven by weather conditions, environmental variables, and the presence of both marine fauna and human activities, it follows that an acoustic habitat will not be static in its composition. Consequently, whilst generalizations may be made about the acoustic characteristics of some underwater environments, many marine habitats will also display spatial and temporal variability in their acoustic components (Parks et al., <xref ref-type="bibr" rid="B65">2009</xref>; Radford et al., <xref ref-type="bibr" rid="B72">2010</xref>; McWilliam and Hawkins, <xref ref-type="bibr" rid="B56">2013</xref>; Rice et al., <xref ref-type="bibr" rid="B75">2014</xref>; Erbe et al., <xref ref-type="bibr" rid="B29">2015</xref>; Guan et al., <xref ref-type="bibr" rid="B37">2015</xref>; Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>). Thus, to understand the role acoustic characteristics may play in driving the habitat use of cetaceans, there is a need to quantify the marine soundscape over large areas and across long periods of time.</p>
<p>The Swan River is an estuarine river system flowing through the Western Australian state capital of Perth. It is joined in its middle reaches by the Canning River, and together these rivers form an extensive system with a combined shoreline of approximately 300 km length. The Swan River estuary has a mean depth of 6 m and covers a surface area of approximately 31 km<sup>2</sup> (Robson et al., <xref ref-type="bibr" rid="B77">2008</xref>). The system is composed of three distinct regions: an entrance channel at the river mouth; several shallow basins in the middle reaches of the river; and the riverine upper reaches. Despite transiting through a major metropolitan area (&#x0003E;1.4 million people), the Swan-Canning River is home to a small resident community of approximately 18 adult bottlenose dolphins (<italic>T. aduncus</italic>), plus juveniles and calves (Chabanne et al., <xref ref-type="bibr" rid="B13">2012</xref>; SRT, <xref ref-type="bibr" rid="B84">2015</xref>). The dolphins show daily use of this river system and high site fidelity (Chabanne et al., <xref ref-type="bibr" rid="B13">2012</xref>). Research investigating the spatial and temporal patterns of dolphin occurrence within the rivers has shown that animals are distributed heterogeneously, with certain areas experiencing higher numbers of dolphin sightings than others (Moiler, <xref ref-type="bibr" rid="B57">2008</xref>; Beidatsch, <xref ref-type="bibr" rid="B7">2012</xref>; Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). In particular, the Fremantle Inner Harbor has been identified as a seasonal &#x0201C;hotspot&#x0201D; strongly linked with dolphin foraging behavior (Moiler, <xref ref-type="bibr" rid="B57">2008</xref>). Other hotspots of dolphin sightings include Freshwater Bay, Melville Waters, Matilda Bay and Canning Bridge, located within the shallow basins region (Moiler, <xref ref-type="bibr" rid="B57">2008</xref>; Beidatsch, <xref ref-type="bibr" rid="B7">2012</xref>). Yet the dolphins are also sighted throughout the rest of the river system, with their range extending to the upper reaches of both the Swan and Canning Rivers (Beidatsch, <xref ref-type="bibr" rid="B7">2012</xref>; SRT, <xref ref-type="bibr" rid="B84">2015</xref>).</p>
<p>Like many urban estuaries, this river system experiences a range of environmental stressors. For example, in the past the Swan River has suffered from toxic algal blooms, nutrient enrichment, anoxia, pollution, introduced and invasive species, coastal flooding, and habitat modification (Rate et al., <xref ref-type="bibr" rid="B73">2000</xref>; Robson and Hamilton, <xref ref-type="bibr" rid="B78">2003</xref>; Morgan et al., <xref ref-type="bibr" rid="B59">2004</xref>; Gosbell and Clemens, <xref ref-type="bibr" rid="B35">2006</xref>; Eliot, <xref ref-type="bibr" rid="B18">2012</xref>; Smale and Childs, <xref ref-type="bibr" rid="B82">2012</xref>; Adolf et al., <xref ref-type="bibr" rid="B2">2015</xref>; Hourston et al., <xref ref-type="bibr" rid="B45">2015</xref>). These stressors were highlighted by the deaths of six dolphins within the river in 2009, which was hypothesized to be the result of a lowered immune system from multiple pressures, such as contaminant exposure and human activities (Holyoake et al., <xref ref-type="bibr" rid="B44">2010</xref>). Parts of the Swan River have been shown to receive high levels of human activities. Visual monitoring at Perth Waters and the Fremantle Inner Harbor has revealed high levels of vessel traffic engaged in a range of activities (Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). Acoustic monitoring at The Narrows&#x02014;a site mid-way along the Swan River in the Perth Waters area revealed that vessel noise was present in approximately 52% of hourly underwater recordings across a six-week period (Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>). Similarly, the Fremantle Inner Harbor has been found to contain various sources of anthropogenic noise, including: vessel traffic, train and vehicle traffic passing over a nearby bridge; machinery noise; and wharf construction (Salgado Kent et al., <xref ref-type="bibr" rid="B80">2012</xref>). As underwater noise levels and characteristics increasingly become considered as an indicator of habitat quality, there is a need to characterize the soundscape of the Swan-Canning river system with regard to its bottlenose dolphin population and anthropogenic activities. While past studies have highlighted the variation in soundscape at specific locations (Salgado Kent et al., <xref ref-type="bibr" rid="B80">2012</xref>; Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>), they have not described how these change in time and over a broader spatial range.</p>
<p>This study aims to examine spatial and temporal variability in the soundscape of the Swan River. Acoustic data collected from five locations along the river across 8 years were used to: (1) identify and compare prominent sound sources defining each site, (2) compare the spatial variability in soundscapes at four locations in the Swan River, (3) identify significant temporal scales (hourly, daily, monthly) of variability within the four sites, (4) describe long-term variability in the soundscape at peak vessel traffic periods (using one exemplary site), and (5) relate prominent sound sources and their spatio-temporal variability to dolphin communication. In particular, the prevalence of vessel noise within the river system was used to determine whether some sites are &#x0201C;noisier&#x0201D; than others and thus have a potential to affect how dolphins use these habitats.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>The Swan-Canning estuary is located along the Western Australian coast. Five locations within the estuary over a distance of 20 km were selected for collecting acoustic data (Figure <xref ref-type="fig" rid="F1">1</xref>). From west to east, these locations were: Fremantle Inner Harbor (in the lower reaches of the river); Mosman Bay (middle reaches); Matilda Bay (middle reaches); Perth Waters (middle reaches); and Heirisson Island (upper reaches). These five study sites comprise a mixture of dolphin sighting hotspots and areas of human activity along the lower, middle, and upper reaches of the Swan River.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Map of the Swan River with the five acoustic monitoring sites indicated.</p></caption>
<graphic xlink:href="fmars-04-00197-g0001.tif"/>
</fig>
<p>The Fremantle Inner Harbor is part of the state&#x00027;s biggest general cargo port and Australia&#x00027;s fourth largest container port (<ext-link ext-link-type="uri" xlink:href="http://www.fremantleports.com.au">http://www.fremantleports.com.au</ext-link>), experiencing high levels of vessel traffic from commercial and recreational sources (Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). However, it has also been identified as a dolphin sighting hotspot, with animals reportedly spending several hours foraging within the Inner Harbor, regardless of vessel densities (Moiler, <xref ref-type="bibr" rid="B57">2008</xref>; Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>).</p>
<p>Mosman Bay is up-river of the narrow entrance channel at the river mouth. A long tidal sandbar stretches across from the opposite bank, funneling water flow, vessel traffic, and animals as they move down from the wide, shallow basins of the middle river reaches into the narrow, cliff-lined lower reaches. Three water ski areas line the periphery of this area with several boat pens located at the northern side, and the main Swan River ferry route passing through the middle of the bay. Dolphins transit through this site, with opportunistic foraging occurring around the boat pens. Mosman Bay has been identified as a spawning site for mulloway (<italic>Argyrosomus japonicus</italic>; Farmer et al., <xref ref-type="bibr" rid="B31">2005</xref>). Consequently, this is the site of a long-term fish acoustic monitoring study for the species, which exhibits characteristic spawning-related vocalizations of high source level (Parsons et al., <xref ref-type="bibr" rid="B67">2013</xref>).</p>
<p>Matilda Bay is a dolphin sighting hotspot, which is primarily used for foraging (Moiler, <xref ref-type="bibr" rid="B57">2008</xref>). This small bay has a boat ramp and series of boat pens located on the north-eastern shore, and is adjacent to the main ferry route utilizing the Swan River. The southern river shore opposite Matilda Bay is used as a personal watercraft freestyle area.</p>
<p>Perth Waters comprises a wide (ca. 1.5 km), shallow basin within the middle reaches of the Swan River. It has not been identified as a dolphin hotspot; however, animals traveling between the middle and upper reaches of the Swan River must transit through this area (Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). This site contains the Barrack Street ferry terminal, and is also used by recreational boaters and crab fishermen. Additionally, at the time of this study, Elizabeth Quay (<ext-link ext-link-type="uri" xlink:href="http://www.mra.wa.gov.au/projects-and-places/elizabeth-quay">http://www.mra.wa.gov.au/projects-and-places/elizabeth-quay</ext-link>) was under development, involving construction and dredging activities.</p>
<p>Finally, Heirisson Island marks the beginning of the riverine upper reaches of the Swan River, characterized by a narrowing of the river as it winds through the Perth Hills. Although not a dolphin hotspot, animals are regularly sighted in the upper reaches of the Swan River. Heirisson Island experiences vessel traffic from both recreational boats and tourism ferries, and is also adjacent to a seasonally-used powerboat racecourse.</p>
<sec>
<title>Data collection</title>
<p>A total of 13 underwater acoustic recorders were used to collect soundscape data. Underwater acoustic recorders were one of two types. Low-frequency underwater sound recorders were custom-built by Curtin University&#x00027;s Centre for Marine Science and Technology (CMST) and equipped with external hydrophones, entering the housing via a bulkhead connector to an impedance matching pre-amplifier with 20 dB gain. Digitized recordings (16 bit) were written on a flash card and, when full, to a hard disk in the logger. High-frequency recorders were assembled at CMST, using the same pre-amplifier as in the low-frequency recorders, and a programmable 16-bit data acquisition board made by Wildlife Acoustics Inc. Digitized recordings were written to four 128 GB SD cards. Both recorder types were calibrated by applying white noise of known power spectral density. High-pass filters (8 Hz cut-off) were employed to filter out high levels of low-frequency noise, enhancing the dynamic range of the recorder at the frequencies of interest.</p>
<p>The acoustic recorders were placed on the seabed during all deployments. The recorder was connected to a weighted ground line leading to a main weight; as there was no surface line, the authors grappled for the recorder during recovery. The exception to this was the Fremantle Inner Harbor recorder, which was deployed from a small jetty and tied off by two surface lines. Recorders were deployed on the riverbed for several weeks (Table <xref ref-type="table" rid="T1">1</xref>). This allowed for temporal variations in the acoustic environment to be documented over hours, days and weeks, thus giving a representative insight into the acoustic conditions of each deployment over the temporal scales at which soundscape variations are likely to occur (Parsons et al., <xref ref-type="bibr" rid="B66">2016</xref>). In some cases, multiple deployments within the same site were achievable, allowing longer-term measurements of underwater noise (Figure <xref ref-type="fig" rid="F1">1</xref>; Table <xref ref-type="table" rid="T1">1</xref>). The specific recording dates, locations, settings and duty cycles used for each deployment are summarized in Table <xref ref-type="table" rid="T1">1</xref>, along with hydrophone sensitivities. Mosman Bay deployments typically recorded for 5 of every 15 min at a sampling frequency of 6 kHz; however, two deployments were at 4 and 5 kHz. The Heirisson Island deployment was part of a separate study targeting high-frequency vessel noise, and so was set to record 40 of every 43 min at a sampling frequency of 96 kHz. The remaining deployments all recorded 10 of every 15 min, with sampling frequencies of either 22 kHz (Matilda Bay, Perth Waters first and second deployments) or 96 kHz (Perth Waters third deployment and Fremantle Inner Harbor). This variation in sampling frequency was a result of whether a low- or high-frequency acoustic recorder was used, which was dependent upon equipment availability.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Summary of acoustic data collection within the Swan River.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>ID</bold></th>
<th valign="top" align="left"><bold>Location</bold></th>
<th valign="top" align="center"><bold>Start date</bold></th>
<th valign="top" align="center"><bold>End date</bold></th>
<th valign="top" align="center"><bold>Days total</bold></th>
<th valign="top" align="center"><bold>Sampling frequency (kHz)</bold></th>
<th valign="top" align="center"><bold>Total gain (dB)</bold></th>
<th valign="top" align="left"><bold>Duty cycle</bold></th>
<th valign="top" align="center"><bold>Hydrophone sensitivity (dB re 1 &#x003BC;Pa/V)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MB</td>
<td valign="top" align="left">Matilda bay</td>
<td valign="top" align="center">27/11/2013</td>
<td valign="top" align="center">19/01/2014</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">10 of every 15 min</td>
<td valign="top" align="center">&#x02212;194.0</td>
</tr>
<tr>
<td valign="top" align="left">PW1</td>
<td valign="top" align="left">Perth waters</td>
<td valign="top" align="center">11/01/2014</td>
<td valign="top" align="center">05/03/2014</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">10 of every 15 min</td>
<td valign="top" align="center">&#x02212;197.7</td>
</tr>
<tr>
<td valign="top" align="left">PW2</td>
<td valign="top" align="left">Perth waters</td>
<td valign="top" align="center">05/06/2014</td>
<td valign="top" align="center">28/07/2014</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">10 of every 15 min</td>
<td valign="top" align="center">&#x02212;197.7</td>
</tr>
<tr>
<td valign="top" align="left">HI</td>
<td valign="top" align="left">Heirisson island</td>
<td valign="top" align="center">13/10/2014</td>
<td valign="top" align="center">27/10/2014</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">44</td>
<td valign="top" align="left">40 of every 43 min</td>
<td valign="top" align="center">&#x02212;202.8</td>
</tr>
<tr>
<td valign="top" align="left">PW3</td>
<td valign="top" align="left">Perth waters</td>
<td valign="top" align="center">17/02/2015</td>
<td valign="top" align="center">09/04/2015</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">44</td>
<td valign="top" align="left">10 of every 15 min</td>
<td valign="top" align="center">&#x02212;202.8</td>
</tr>
<tr>
<td valign="top" align="left">FIH</td>
<td valign="top" align="left">Fremantle inner harbor</td>
<td valign="top" align="center">30/04/2015</td>
<td valign="top" align="center">14/06/2015</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">44</td>
<td valign="top" align="left">10 of every 15 min</td>
<td valign="top" align="center">&#x02212;202.8</td>
</tr>
<tr>
<td valign="top" align="left">Mos07</td>
<td valign="top" align="left">Mosman bay</td>
<td valign="top" align="center">01/01/2007</td>
<td valign="top" align="center">01/02/2007</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">5 of every 15 min</td>
<td valign="top" align="center">&#x02212;197.7</td>
</tr>
<tr>
<td valign="top" align="left">Mos09</td>
<td valign="top" align="left">Mosman bay</td>
<td valign="top" align="center">01/01/2009</td>
<td valign="top" align="center">01/02/2009</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">5 of every 15 min</td>
<td valign="top" align="center">&#x02212;196.8</td>
</tr>
<tr>
<td valign="top" align="left">Mos10</td>
<td valign="top" align="left">Mosman bay</td>
<td valign="top" align="center">01/01/2010</td>
<td valign="top" align="center">01/02/2010</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">5 of every 15 min</td>
<td valign="top" align="center">&#x02212;196.8</td>
</tr>
<tr>
<td valign="top" align="left">Mos11</td>
<td valign="top" align="left">Mosman bay</td>
<td valign="top" align="center">01/01/2011</td>
<td valign="top" align="center">01/02/2011</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">5 of every 15 min</td>
<td valign="top" align="center">&#x02212;196.0</td>
</tr>
<tr>
<td valign="top" align="left">Mos12</td>
<td valign="top" align="left">Mosman bay</td>
<td valign="top" align="center">01/01/2012</td>
<td valign="top" align="center">01/02/2012</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">5 of every 15 min</td>
<td valign="top" align="center">&#x02212;197.0</td>
</tr>
<tr>
<td valign="top" align="left">Mos13</td>
<td valign="top" align="left">Mosman bay</td>
<td valign="top" align="center">01/01/2013</td>
<td valign="top" align="center">01/02/2013</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">5 of every 15 min</td>
<td valign="top" align="center">&#x02212;197.5</td>
</tr>
<tr>
<td valign="top" align="left">Mos15</td>
<td valign="top" align="left">Mosman bay</td>
<td valign="top" align="center">01/01/2015</td>
<td valign="top" align="center">01/02/2015</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">40</td>
<td valign="top" align="left">5 of every 15 min</td>
<td valign="top" align="center">&#x02212;197.7</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The study was carried out in accordance with the recommendations of the National Health and Medical Research Council Australia code for the care and use of animals for scientific purposes 8th Edition (2013). The protocol was approved by the Curtin University Animal Ethics Committee (Approval Number AEC-2013-28).</p>
</sec>
<sec>
<title>Acoustic analyses</title>
<p>Data were first reviewed in Matlab (Version R2013a, The MathWorks Inc.) using the toolbox CHORUS (Gavrilov and Parsons, <xref ref-type="bibr" rid="B34">2014</xref>). This allowed prominent sound sources for each deployment to be identified. Protocols for further processing of acoustic data broadly followed the methodology of Marley et al. (<xref ref-type="bibr" rid="B51">2016a</xref>) and were applied to data collected from each deployment. Recordings were analyzed in Matlab, and were first Fourier transformed in 1 s windows, producing a time series of power spectral density (PSD). Cable noise, where it existed, was identified as brief broadband spikes and the corresponding 1 s windows were discarded from further analysis. Due to the range of sampling frequencies employed, data were down-sampled to correspond with the lowest sampling frequency of 22 kHz. The exception to this were recorders used in Mosman Bay, which had an original sampling frequency of 4&#x02013;6 kHz (here, down-sampled to 4 kHz), as these were part of a separate study targeting fish calls. Hence, these data were not used in the spatial comparison, and instead were utilized for a long-term temporal overview of soundscape changes in the Swan River.</p>
<p>For all datasets, the PSD was averaged into 10 s windows and the first 10 s PSD average of each minute was plotted in a weekly spectrogram (Mon&#x02013;Sun). These spectrograms allowed initial visual inspection and comparison of the data. The first 10 s PSD average of each minute was used to compute PSD percentile plots. To reduce computational effort, the PSD was further averaged into a series of adjacent frequency bands, each 10 Hz wide. The <italic>n</italic>th percentile of each plot gives the level that was exceeded n% of the time, with the 50th percentile representing the median. Thus, these plots illustrate the statistical variability of underwater sound for each deployment across the study period, allowing visual comparison of acoustic power vs. frequency, both within and between sites.</p>
<p>The 1 Hz PSDs of underwater sound were converted to linear units, averaged over 10 min of every acoustic recording and integrated into adjacent octave band levels (OBLs). This resulted in time series of noise levels in each octave band, with one sample corresponding with each acoustic recording, allowing comparison of the noise levels in each OBL across both sites and years. Dolphin whistles in the Fremantle Inner Harbor have been reported to range between 1.1 and 18.4 kHz, with a minimum frequency of 1.1 to 9.0 kHz (Ward et al., <xref ref-type="bibr" rid="B89">2016</xref>). Given this frequency range, it is possible to consider which sound sources may overlap with dolphin communication frequencies and identify which river sites may pose concern given noise levels in their upper OBLs.</p>
</sec>
<sec>
<title>Spatial and temporal variation</title>
<p>For each recording, broadband noise levels (NL_BB) were calculated as the root-mean-square sound pressure level over the duration of each file. These data were used to compare spatial and temporal variations in NL_BB, both between and within sites. Spatial comparisons were made across all sites except for Mosman Bay, as this dataset was down-sampled at a lower frequency than the other sites. Spatial variation was examined by conducting a Kruskal-Wallis test on the Fremantle, Matilda Bay, Perth Waters, and Heirisson Island datasets. Wilcoxon-Mann-Whitney Tests identified the source of any differences, and the power of these tests was assessed through <italic>post hoc</italic> tests in G<sup>&#x0002A;</sup>Power (Vr 3.1.9.2).</p>
<p>To examine short-term temporal variation within sites, Generalized Estimating Equations (GEEs) were applied to the Fremantle, Matilda Bay, Perth Waters, and Heirisson Island datasets. For the purposes of these analyses, data were down-sampled to select only one recording per hour. Temporal variation in NL_BB was examined for hour of day (&#x0201C;Hour&#x0201D;), day type (weekday or weekend; &#x0201C;DayType&#x0201D;), and month of the year (&#x0201C;Month&#x0201D;). GEEs were deemed suitable for these analyses as they account for temporal autocorrelation whilst identifying temporal variation, thus allowing the use of repeated measures data (Zuur et al., <xref ref-type="bibr" rid="B99">2009</xref>; Photopoulou et al., <xref ref-type="bibr" rid="B68">2011</xref>; Bailey et al., <xref ref-type="bibr" rid="B4">2013</xref>). Modeling followed the methods of Marley et al. (<xref ref-type="bibr" rid="B51">2016a</xref>), with DayType and Month included as factors. However, as time of day forms part of a cycle, the variable Hour (<italic>h</italic>) was converted to a cyclical covariate using sine and cosine vectors, termed <italic>H</italic><sub><italic>s</italic></sub> and <italic>H</italic><sub><italic>c</italic></sub> respectively (Zuur et al., <xref ref-type="bibr" rid="B99">2009</xref>; Bailey et al., <xref ref-type="bibr" rid="B4">2013</xref>):
<disp-formula id="E1"><mml:math id="M1"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mo class="qopname">sin</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mfrac><mml:mrow><mml:mn>2</mml:mn><mml:mi>&#x003C0;</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mi>h</mml:mi></mml:mrow><mml:mrow><mml:mn>24</mml:mn></mml:mrow></mml:mfrac></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>c</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mo class="qopname">cos</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mfrac><mml:mrow><mml:mn>2</mml:mn><mml:mi>&#x003C0;</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mi>h</mml:mi></mml:mrow><mml:mrow><mml:mn>24</mml:mn></mml:mrow></mml:mfrac></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></p>
<p>This allowed hours at the start and end of the day to be considered close to each other (e.g., 23:00 and 01:00 h). A similar approach has been undertaken by other studies to include circular variables as model terms (Griffin and Griffin, <xref ref-type="bibr" rid="B36">2003</xref>; Bailey et al., <xref ref-type="bibr" rid="B5">2009</xref>, <xref ref-type="bibr" rid="B6">2010</xref>, <xref ref-type="bibr" rid="B4">2013</xref>; Pirotta et al., <xref ref-type="bibr" rid="B70">2013</xref>; De Boer et al., <xref ref-type="bibr" rid="B14">2014</xref>; Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>). This approach was not applied to Month due to datasets generally being limited to only a few months.</p>
<p>The GEE model used a gamma error distribution with a log-link function. Gamma distributions are appropriate for continuous response variables which have positive values (Zuur et al., <xref ref-type="bibr" rid="B99">2009</xref>). Variance Inflation Factors (VIFs; Zuur et al., <xref ref-type="bibr" rid="B98">2010</xref>) were calculated, but revealed no collinear variables in the model. However, a Runs Test indicated that there was an issue with correlation in the model residuals (<italic>p</italic> &#x0003C; 0.001); therefore, a blocking structure was selected to model this correlation.</p>
<p>GEEs account for temporal autocorrelation via within-cluster correlations to increase the estimation efficiency, thus allowing maximum use of sequential or repeated measures data (Zuur et al., <xref ref-type="bibr" rid="B99">2009</xref>; Bailey et al., <xref ref-type="bibr" rid="B4">2013</xref>). To select clusters for the model blocks (ID), the autocorrelation of the model residuals by ID was plotted to check for a decline in correlation over time. During each separate &#x0201C;Date&#x0201D; (a sequential value beginning on Day 1 of sampling and ending on the final day of sampling), the correlation of observations made hourly declined to approximately zero within a 24-h period. Thus, separate days were treated as independent, and so &#x0201C;Date&#x0201D; was selected to define clusters of data points within which residuals were allowed to be autocorrelated. Given that the data were serially correlated and that GEEs are robust in providing consistent estimates of mean parameters even when the correlation structure is mis-specified, an AR-1 correlation structure was selected as the most logical option for the model.</p>
<p>Selection of the best model was assessed via a quasi-likelihood criterion (QIC; Pan, <xref ref-type="bibr" rid="B64">2001</xref>) and model fit was assessed by plotting observed vs. fitted values and fitted values vs. scaled Pearson&#x00027;s residuals. Once the final model was selected, repeated Wald&#x00027;s tests were used to assess the significance of each temporal variable, and partial residual plots of significant terms were created.</p>
<p>Long-term temporal variation of high vessel traffic periods was assessed for Mosman Bay. This site included 7 years of data collected between 2006 and 2015. Although several months of data were recorded each year, only January was retained because it was consistently captured each year and also represents the austral summer, when high levels of anthropogenic activities were expected to occur. In January, daily mulloway choruses were recorded in the late evening. To explore sources associated with human &#x0201C;rush hour&#x0201D; as opposed to peak mulloway chorusing, only acoustic data from the morning (06:00&#x02013;12:00 h) were used (Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>,<xref ref-type="bibr" rid="B52">b</xref>). A Kruskal-Wallis test was applied to this multi-year dataset to identify variations between years; the source of differences were then identified by Wilcoxon-Mann-Whitney Tests. Statistical power was again assessed using G<sup>&#x0002A;</sup>Power (Vr 3.1.9.2).</p>
<p>All statistical analyses were conducted in R (R Core Team, <xref ref-type="bibr" rid="B74">2015</xref>) with the aid of the <italic>geepack</italic> (Yan, <xref ref-type="bibr" rid="B96">2002</xref>; Yan and Fine, <xref ref-type="bibr" rid="B97">2004</xref>; H&#x000F8;jsgaard et al., <xref ref-type="bibr" rid="B43">2006</xref>), <italic>MESS</italic> (Ekstrom, <xref ref-type="bibr" rid="B17">2014</xref>), <italic>MRSea</italic> (Scott-Hayward et al., <xref ref-type="bibr" rid="B81">2014</xref>), and <italic>stats</italic> (R Core Team, <xref ref-type="bibr" rid="B74">2015</xref>) packages.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>A total of over 11,600 h of acoustic data were collected during 14 deployments at five sites within the Swan River. Of these, approximately 6,450 h from seven deployments at four sites were analyzed for spatial and short-term temporal comparisons, whilst 5,200 h from seven annual deployments at Mosman Bay were analyzed to assess long-term temporal variation.</p>
<sec>
<title>Prominent sound sources</title>
<p>Prominent sounds recorded in this study came from biotic and anthropogenic sources. These included: snapping shrimp; fish choruses; dolphin clicks and whistles; impulse pile-driving; trains and/or vehicles passing over nearby bridges; and vessel traffic.</p>
<p>Dolphin sounds were most abundant in the Fremantle Inner Harbor, where both whistles and echolocation clicks were frequently recorded (Figures <xref ref-type="fig" rid="F2">2A,B</xref>). While sounds likely produced by fish occurred at all locations, fish choruses were only observed at the Heirisson Island site (Figure <xref ref-type="fig" rid="F2">2C</xref>), although they are known to occur in other areas of the river such as Blackwall Reach and Mosman Bay (Parsons et al., <xref ref-type="bibr" rid="B67">2013</xref>). Snapping shrimp were observed in all locations to varying degrees (e.g., Figure <xref ref-type="fig" rid="F2">2D</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Biotic sound sources recorded within the Swan River included: <bold>(A,B)</bold> the clicks and whistles of Indo-Pacific bottlenose dolphins; <bold>(C)</bold> mulloway fish choruses; and <bold>(D)</bold> snapping shrimp.</p></caption>
<graphic xlink:href="fmars-04-00197-g0002.tif"/>
</fig>
<p>There were also a number of additional anthropogenic sounds. Pile-driving was heard at Heirisson Island, due to adjacent shore-based construction works (Figure <xref ref-type="fig" rid="F3">3A</xref>). The sound of pile-driving recorded in water consists of series of sharp pulses every few seconds (see Erbe, <xref ref-type="bibr" rid="B23">2009</xref>, for pile driving recorded in equally shallow water). High-frequency &#x0201C;blips&#x0201D; thought to originate from vessel echo-sounders were observed in Fremantle Inner Harbor (Figure <xref ref-type="fig" rid="F3">3B</xref>). In Matilda Bay, series of very low-frequency pulses were observed (Figure <xref ref-type="fig" rid="F3">3C</xref>). Similar pulses have been previously reported at the neighboring Narrows Bridge site (Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>), where they were hypothesized to be the result of train or vehicle traffic crossing the bridge. The Matilda Bay deployment site was adjacent to a busy main road, which may be the source of this sound.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Anthropogenic sound sources within the Swan River included: <bold>(A)</bold> pile-driving; <bold>(B)</bold> vessel echosounders; and <bold>(C)</bold> unknown series of low-frequency impulses thought to originate from vehicle traffic.</p></caption>
<graphic xlink:href="fmars-04-00197-g0003.tif"/>
</fig>
<p>One of the most striking features was the variability in sounds produced by vessel traffic (Figure <xref ref-type="fig" rid="F4">4</xref>). In the Fremantle Inner Harbor, there was near-continuous background noise from transiting vessels and idling engines, in addition to sounds from near-passing vessels (Figure <xref ref-type="fig" rid="F4">4A</xref>). In other areas, vessel sounds included steady tones (Figures <xref ref-type="fig" rid="F4">4B,C</xref>), series of engine revs increasing with engine rotations per minute (Figure <xref ref-type="fig" rid="F4">4D</xref>; Erbe et al., <xref ref-type="bibr" rid="B27">2016a</xref>), undulating tones with many harmonics from jet skis (Figure <xref ref-type="fig" rid="F4">4E</xref>; Erbe, <xref ref-type="bibr" rid="B26">2013</xref>), and bands across the low and high frequencies (Figures <xref ref-type="fig" rid="F4">4B,F</xref>, respectively). Considering all the variations observed, vessel noise has the potential to range from 5 to over 20 kHz. The highest frequency sounds were observed in the presence of small powerboats engaged in high-speed races near Heirisson Island (Figure <xref ref-type="fig" rid="F4">4F</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>A sample of the various types of sounds produced by vessel traffic in the Swan River.</p></caption>
<graphic xlink:href="fmars-04-00197-g0004.tif"/>
</fig>
</sec>
<sec>
<title>Spatial variation</title>
<p>Significant variation in NL_BB occurred among the four Swan River sites (Fremantle Inner Harbor, Matilda Bay, Perth Waters, and Heirisson Island; Kruskal-Wallis test <italic>X</italic><sup>2</sup> &#x0003D; 4,252.6, <italic>df</italic> &#x0003D; 3, <italic>p</italic> &#x0003C; 0.001; Figure <xref ref-type="fig" rid="F5">5</xref>). All sites were significantly different from each other (Wilcoxon-Mann-Whitney Tests all had <italic>p</italic> &#x0003C; 0.001). The effect size of site ranged from 0.12 to 1.15, achieving a power of 0.77&#x02013;1.00. Median NL_BB&#x00027;s for the four Swan River sites were: Fremantle Inner Harbor 106 dB re 1 &#x003BC;Pa; Matilda Bay 107 dB re 1 &#x003BC;Pa; Perth Waters 113 dB re 1 &#x003BC;Pa; and Heirisson Island 100 dB re 1 &#x003BC;Pa.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Overall broadband noise levels (NL_BB) of four Swan River sites: Fremantle Inner Habour (FIH), Heirisson Island (HI), Matilda Bay (MB) and Perth Waters (PW).</p></caption>
<graphic xlink:href="fmars-04-00197-g0005.tif"/>
</fig>
<p>The soundscapes of the four Swan River sites were further compared by investigating PSD percentile plots (Figure <xref ref-type="fig" rid="F6">6</xref>). The most obvious feature of the Fremantle Inner Harbor dataset was the presence of vessel traffic at 0.05&#x02013;1 kHz. As a result of this sound source, the Fremantle site was only as quiet as other Swan River sites &#x0003C;5% of the time. In addition to noise from vessel traffic, there was near-continuous background anthropogenic noise from Port operations, such as machinery and engine noise. Despite this site being located closest to the ocean and containing numerous structures for settlement, noise from snapping shrimp was not often detected. Shrimp clicks were detected sporadically, and did not dominate the weekly spectrograms or PSD percentile plots (unlike at other sites, such as Matilda Bay or Perth Waters). Dolphin clicks and whistles were frequently present in manually reviewed acoustic files; however, these transient events did not cause any obvious spikes in PSD percentile plots.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Power spectrum density (PSD) percentiles (averaged into 10 Hz bands) from the four sites considered in the spatial analysis. The <italic>n</italic>th percentile gives the level that was exceeded n% of the time.</p></caption>
<graphic xlink:href="fmars-04-00197-g0006.tif"/>
</fig>
<p>The Matilda Bay acoustic measurements resulted in higher PSD levels in the lower frequencies (Figure <xref ref-type="fig" rid="F6">6</xref>), which corresponded with observed trends in the weekly spectrograms. Matilda Bay had the strongest prevalence of snapping shrimp of all sites. Numerous vessel transits were visible in the weekly spectrograms, particularly during the daytime; yet these did not form the same strong bands of vessel noise observed in the Fremantle Inner Harbor. Matilda Bay exhibited some of the quietest recorded ambient noise levels in the 100&#x02013;1,000 Hz band.</p>
<p>Three deployments occurred at Perth Waters. The first and second deployments were similar in terms of overall noise levels in the lower frequencies, whilst in the higher frequencies the second and third deployments showed greater similarity (Figure <xref ref-type="fig" rid="F6">6</xref>). Spectrograms from this site also showed daily patterns of low-frequency noise bands were present, which were particularly prominent in the second deployment. Snapping shrimp noise was a strong feature at this site and was slightly louder than in Matilda Bay (Figure <xref ref-type="fig" rid="F6">6</xref>).</p>
<p>One deployment occurred at Heirisson Island, the most prominent feature of which was the presence of a fish chorus from 50 to 500 Hz (Figure <xref ref-type="fig" rid="F6">6</xref>). Snapping shrimp were minimally observed at this site, which is located in the upper, riverine reaches of the Swan River. At the higher frequencies (&#x0003E;1 kHz), there is evidence of high-frequency vessel traffic approximately 1% of the time. This corresponds to high-speed powerboats, which occasionally race in this area during the austral summer months (Figure <xref ref-type="fig" rid="F4">4F</xref>). Powerboats also contributed to the frequency band of fish chorusing (Figures <xref ref-type="fig" rid="F2">2C</xref>, <xref ref-type="fig" rid="F4">4F</xref>) but occurred temporally out of sync, with boats recorded during the day and fish at night.</p>
<p>When individual OBLs are considered, it is evident that some levels vary between sites more substantially than others (Figure <xref ref-type="fig" rid="F7">7</xref>). Levels at Matilda Bay and Perth Waters were higher than other sites in the OBL centered at 20 Hz, reflecting the presence of unidentified low-frequency anthropogenic sounds (Figure <xref ref-type="fig" rid="F3">3C</xref>). All sites were similar at the 40 Hz OBL. Fremantle Inner Harbor was highest at mid-range OBLs centered at 80, 160, 320, and 640 Hz, reflecting the high level of vessel traffic at this site. Levels at Heirisson Island also had a wide range across these OBLs, due to the presence of a fish chorus. Levels at Matilda Bay were highest in the OBLs centered at 1,280, 2,560, and 5,120 Hz, followed by the Perth Waters deployments. This energy reflected the prevalence of snapping shrimp at these sites.</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Variation in selected octave-band levels between the four sites considered in the spatial analysis: Fremantle Inner Harbor (FIH); Heirisson Island (HI); Matilda Bay (MB); and Perth Waters (PW1-3).</p></caption>
<graphic xlink:href="fmars-04-00197-g0007.tif"/>
</fig>
</sec>
<sec>
<title>Short-term temporal variation</title>
<p>There were significant temporal variations within each site based on GEE results (Table <xref ref-type="table" rid="T2">2</xref>; Figure <xref ref-type="fig" rid="F8">8</xref>). NL_BB at Fremantle Inner Harbor varied by Hour (<italic>X</italic><sup>2</sup> &#x0003D; 55.848, <italic>p</italic> &#x0003C; 0.001), DayType (<italic>X</italic><sup>2</sup> &#x0003D; 5.212, <italic>p</italic> &#x0003D; 0.022), and Month (<italic>X</italic><sup>2</sup> &#x0003D; 8.301, <italic>p</italic> &#x0003C; 0.001). Noise levels were typically higher during the day at this site, peaking at approximately 09:00 h. Weekday noise levels were higher than those of the weekend, and May was noisier than June.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Summary of generalized estimating equation (GEE) models investigating temporal patterns within Swan River sites at the scale of Month, DayType (Weekday or Weekend), and Hour (a cyclical variable represented by <italic>Hs</italic> and <italic>Hc</italic>).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Site</bold></th>
<th valign="top" align="left"><bold>Parameter</bold></th>
<th valign="top" align="center"><bold>Coefficient estimate</bold></th>
<th valign="top" align="center"><bold>Standard error</bold></th>
<th valign="top" align="center"><bold>Wald</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>FREMANTLE INNER HARBOR (FIH)</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">4.68328</td>
<td valign="top" align="center">0.00797</td>
<td valign="top" align="center">3.46e&#x0002B;05</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month6</td>
<td valign="top" align="center">&#x02212;0.03107</td>
<td valign="top" align="center">0.01013</td>
<td valign="top" align="center">9.40e&#x0002B;00</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Weekend</td>
<td valign="top" align="center">&#x02212;0.03078</td>
<td valign="top" align="center">0.01350</td>
<td valign="top" align="center">5.20e&#x0002B;00</td>
<td valign="top" align="center">0.0226</td>
<td valign="top" align="center"><sup>&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>s</sub></td>
<td valign="top" align="center">&#x02212;0.00659</td>
<td valign="top" align="center">0.00366</td>
<td valign="top" align="center">3.24e&#x0002B;00</td>
<td valign="top" align="center">0.0718</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>c</sub></td>
<td valign="top" align="center">&#x02212;0.02787</td>
<td valign="top" align="center">0.00373</td>
<td valign="top" align="center">5.59e&#x0002B;01</td>
<td valign="top" align="center">7.8e-14</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>MATILDA BAY (MB)</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">4.753883</td>
<td valign="top" align="center">0.005365</td>
<td valign="top" align="center">7.85e&#x0002B;05</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month 11</td>
<td valign="top" align="center">&#x02212;0.135897</td>
<td valign="top" align="center">0.005881</td>
<td valign="top" align="center">5.34e&#x0002B;02</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month 12</td>
<td valign="top" align="center">&#x02212;0.100433</td>
<td valign="top" align="center">0.006875</td>
<td valign="top" align="center">2.13e&#x0002B;02</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>s</sub></td>
<td valign="top" align="center">&#x02212;0.005619</td>
<td valign="top" align="center">0.000736</td>
<td valign="top" align="center">5.83e&#x0002B;01</td>
<td valign="top" align="center">2.3e-14</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>c</sub></td>
<td valign="top" align="center">0.000249</td>
<td valign="top" align="center">0.000732</td>
<td valign="top" align="center">1.20e&#x02013;01</td>
<td valign="top" align="center">0.73</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PERTH WATERS (PW)</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">4.748788</td>
<td valign="top" align="center">0.002937</td>
<td valign="top" align="center">2.61e&#x0002B;06</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month 2</td>
<td valign="top" align="center">0.007966</td>
<td valign="top" align="center">0.003615</td>
<td valign="top" align="center">4.85e&#x0002B;00</td>
<td valign="top" align="center">0.02758</td>
<td valign="top" align="center"><sup>&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month 3</td>
<td valign="top" align="center">&#x02212;0.044825</td>
<td valign="top" align="center">0.007522</td>
<td valign="top" align="center">3.55e&#x0002B;01</td>
<td valign="top" align="center">2.5e-09</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month 4</td>
<td valign="top" align="center">&#x02212;0.109140</td>
<td valign="top" align="center">0.005000</td>
<td valign="top" align="center">4.76e&#x0002B;02</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month 6</td>
<td valign="top" align="center">&#x02212;0.028517</td>
<td valign="top" align="center">0.003224</td>
<td valign="top" align="center">7.83e&#x0002B;01</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Month 7</td>
<td valign="top" align="center">&#x02212;0.028411</td>
<td valign="top" align="center">0.003263</td>
<td valign="top" align="center">7.58e&#x0002B;01</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>s</sub></td>
<td valign="top" align="center">&#x02212;0.006599</td>
<td valign="top" align="center">0.000464</td>
<td valign="top" align="center">2.02e&#x0002B;02</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>c</sub></td>
<td valign="top" align="center">&#x02212;0.002113</td>
<td valign="top" align="center">0.000619</td>
<td valign="top" align="center">1.16e&#x0002B;01</td>
<td valign="top" align="center">0.00065</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>HEIRISSON ISLAND (HI)</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">4.64622</td>
<td valign="top" align="center">0.00506</td>
<td valign="top" align="center">8.42e&#x0002B;05</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>s</sub></td>
<td valign="top" align="center">&#x02212;0.08831</td>
<td valign="top" align="center">0.00590</td>
<td valign="top" align="center">2.24e&#x0002B;02</td>
<td valign="top" align="center">&#x0003C;2e-16</td>
<td valign="top" align="center"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">H<sub>c</sub></td>
<td valign="top" align="center">&#x02212;0.00496</td>
<td valign="top" align="center">0.00628</td>
<td valign="top" align="center">6.30e-01</td>
<td valign="top" align="center">0.43</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Significance level: &#x02264; 0.001 <sup>&#x0002A;&#x0002A;&#x0002A;</sup>; &#x02264; 0.01 <sup>&#x0002A;&#x0002A;</sup>; &#x02264; 0.05 <sup>&#x0002A;</sup>.</italic></p>
</table-wrap-foot>
</table-wrap>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Results from the generalized estimating equations (GEEs) based on hourly broadband noise levels from <bold>(A)</bold> Fremantle Inner Harbor, <bold>(B)</bold> Matilda Bay, <bold>(C)</bold> Perth Waters, and <bold>(D)</bold> Heirisson Island. Only significant explanatory variables are shown.</p></caption>
<graphic xlink:href="fmars-04-00197-g0008.tif"/>
</fig>
<p>The Matilda Bay GEE retained Hour (<italic>X</italic><sup>2</sup> &#x0003D; 59.07, <italic>p</italic> &#x0003C; 0.001) and Month (<italic>X</italic><sup>2</sup> &#x0003D; 515.05, <italic>p</italic> &#x0003C; 0.001) as significant variables. At this site, noise levels gradually increased throughout the day before peaking at 20:00 h. Noise levels increased over the austral summer months (November to January).</p>
<p>Perth Waters retained Hour (<italic>X</italic><sup>2</sup> &#x0003D; 11.64, <italic>p</italic> &#x0003C; 0.001) and Month (<italic>X</italic><sup>2</sup> &#x0003D; 780.37, <italic>p</italic> &#x0003C; 0.001) as significant variables. Noise levels sharply increased between 08:00 and 10:00 h then peaked between 19:00 and 21:00 h before decreasing overnight. April was the quietest month.</p>
<p>Heirisson Island only retained Hour (<italic>X</italic><sup>2</sup> &#x0003D; 223.739, <italic>p</italic> &#x0003C; 0.001) as a significant variable. It showed a gradual increase in noise levels throughout the day, then a sharp peak between 18:00 and 22:00 h; this period coincided with the evening fish chorus identified in the weekly spectrograms.</p>
</sec>
<sec>
<title>Long-term temporal variation</title>
<p>In Mosman Bay, NL_BB measured in January differed among the seven years of measurement (Kruskal-Wallis <italic>X</italic><sup>2</sup> &#x0003D; 102.75, <italic>df</italic> &#x0003D; 6, <italic>p</italic> &#x0003C; 0.001; Figure <xref ref-type="fig" rid="F9">9</xref>). NL_BB in 2010 was greatest, whilst NL_BB in 2013 and 2015 were most similar. The effect size of year ranged from 0.01 to 0.49, achieving a power of 0.06&#x02013;1.00.</p>
<fig id="F9" position="float">
<label>Figure 9</label>
<caption><p>Overall broadband noise levels (NL_BB) at Mosman Bay over the month of January across a 9-year period, including a table of significant differences as determined by Wilcoxon-Mann-Whitney Tests: &#x02264; 0.001 <sup>&#x0002A;&#x0002A;&#x0002A;</sup>; &#x02264; 0.01 <sup>&#x0002A;&#x0002A;</sup>; &#x02264; 0.05 <sup>&#x0002A;</sup>.</p></caption>
<graphic xlink:href="fmars-04-00197-g0009.tif"/>
</fig>
<p>The Mosman Bay PSD percentile plots and OBLs show that the soundscape at this site was very similar over the years (Figures <xref ref-type="fig" rid="F10">10</xref>, <xref ref-type="fig" rid="F11">11</xref>). Most noise occurred in the 70&#x02013;300 Hz frequency band. Closer examination in the weekly spectrograms suggested the noise was produced by vessel traffic. About 5% of the time, noise in this band was above 100 dB re 1 &#x003BC;Pa<sup>2</sup>/Hz for all years considered. This noise only dropped to below 70 dB re 1 &#x003BC;Pa<sup>2</sup>/Hz less than 5% of the time. There was no trend of decreasing or increasing noise levels at any frequency over the 7-year period of acoustic monitoring in Mosman Bay.</p>
<fig id="F10" position="float">
<label>Figure 10</label>
<caption><p>Power spectrum density (PSD) percentiles (averaged into 10 Hz bands) at Mosman Bay over the month of January across the 9-year period considered in the temporal analysis. The <italic>n</italic>th percentile gives the level that was exceeded n% of the time.</p></caption>
<graphic xlink:href="fmars-04-00197-g0010.tif"/>
</fig>
<fig id="F11" position="float">
<label>Figure 11</label>
<caption><p>Variation in selected octave-band noise levels across the 9-year period considered in the temporal analysis of Mosman Bay.</p></caption>
<graphic xlink:href="fmars-04-00197-g0011.tif"/>
</fig>
</sec>
<sec>
<title>Relevance to dolphin communication</title>
<p>Dolphin whistles could be expected to overlap with OBLs centered at 1,280, 2,560, and 5,120 Hz (Figure <xref ref-type="fig" rid="F7">7</xref>). High mean noise levels at these OBLs were present at Matilda Bay and Perth Waters due to the presence of snapping shrimp. In comparison, Heirisson Island and the Fremantle Inner Harbor had lower mean values. However, the high variability of levels at the Fremantle Inner Harbor resulted in levels occasionally surpassing those of Matilda Bay and Perth Waters. Due to the relatively low levels of snapping shrimp noise in Fremantle Inner Harbor when compared to other study sites, these &#x0201C;noisiest&#x0201D; periods are likely attributable to high vessel traffic.</p>
<p>When considered as individual sound sources, snapping shrimp and vessel traffic produce noise across a wide frequency band that can overlap with dolphin whistles (Figures <xref ref-type="fig" rid="F2">2D</xref>, <xref ref-type="fig" rid="F4">4</xref>, respectively). However, the spectro-temporal structures of these sounds differ considerably. Whilst colonies of snapping shrimp produce frequent impulsive broadband clicks, each lasting a few milliseconds, vessels produce continuous broadband noise from propeller cavitation and long-lasting tonal sounds due to engine and propeller rotations (e.g., Erbe et al., <xref ref-type="bibr" rid="B27">2016a</xref>). Propeller cavitation is a stochastic process, and the resulting power spectrum has characteristics of pink noise. Shrimp snaps, on the other hand, show a higher degree of comodulation across frequency (Branstetter et al., <xref ref-type="bibr" rid="B10">2013</xref>). It is the different temporal structures and comodulation degrees that will likely reduce the risk of acoustic masking by snapping shrimp over that of vessels (Erbe, <xref ref-type="bibr" rid="B22">2008</xref>; Erbe et al., <xref ref-type="bibr" rid="B28">2016b</xref>). In other words, high levels of vessel traffic in Fremantle Inner Harbor are more likely to mask dolphin whistles than high levels of snapping shrimp in Matilda Bay.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study describes the acoustic habitat in the core range of the Swan River dolphin community, at varying spatial and temporal scales. Overall, there were two predominant sound sources which occurred at multiple sites: snapping shrimp and vessel traffic. From the acoustic perspective of the resident dolphin community, both of these sound sources overlap with the frequency range of dolphin whistles used for communication. However, whilst snapping shrimp sounds are brief, impulsive, repetitive, and their spectrum comodulated across multiple frequencies, the propeller cavitation noise produced by vessel traffic is temporally continuous and spectrally not comodulated. Thus, the latter is more likely to interfere with dolphin whistles, particularly where multiple vessels are simultaneously contributing to the soundscape. Additionally, the number of sound sources identified and their changeability throughout the river system clearly illustrates the spatially variable acoustic environment experienced by this community of bottlenose dolphins. High within-site temporal variability observed over small and large temporal scales (hours to years) adds another layer of complexity to this acoustic environment.</p>
<p>In this study, the most ubiquitous sound source was vessel noise, which was present at all sites to some degree. The Swan River is known to be a site of high vessel traffic, used by vessels of numerous types engaged in a range of activities (Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). However, despite their prevalence, vessel sounds were not consistent. In fact, the extreme variation in vessel sounds was in marked contrast to the much lower variability in characteristics of prominent biotic sounds, such as shrimp snaps and fish calls, which were of comparatively predictable duration and frequency. The high variability in vessel acoustic features is a result of differences in vessel type, speed and behavior; the physical characteristics of the environment; and varying distances from the receiver (see Erbe, <xref ref-type="bibr" rid="B26">2013</xref>; Erbe et al., <xref ref-type="bibr" rid="B27">2016a</xref> for variability of underwater noise from jetskis and small boats with outboard motors, which are the most common type of vessel in the Swan River). For example, some vessels produced bursts of low-frequency &#x0201C;revs&#x0201D; with relatively few harmonics, whilst others produced mid-frequency tonal sounds with several harmonics for a few minutes, and many dominated the entire frequency band for the whole recording period of 10 min. Low-frequency sounds (centered at 35 Hz) have previously been recorded from passenger ferries operating in Perth Waters (Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>). Some of these ferries also venture to other parts of the river, traveling past Heirisson Island, Perth Waters, Matilda Bay and the Fremantle Inner Harbor. Vessels are often observed milling in some parts of the river (e.g., Perth Waters), where they circle an area at low speeds for a prolonged period of time, and the engine may be stopped and started several times as the vessel moves between particular spots (Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). Such vessel behavior, which often coincides with fishing or crabbing activities, likely contributes to the low-frequency acoustic environment of the river system. The highest frequency vessel sounds were observed in the presence of small powerboats engaged in high-speed races near Heirisson Island. Such races can involve several competing powerboats at any one time, with the most powerful boats claimed to &#x0201C;regularly achieve over 170 kph&#x0201D; (<ext-link ext-link-type="uri" xlink:href="http://www.wasbc.com.au">http://www.wasbc.com.au</ext-link>). This race site is situated at the start of the upper riverine reaches of the Swan River system, where the river narrows to only 450 m wide. Given the high-frequency noise produced by these vessels and the narrow nature of the river in this area, there could be potential for displacement of dolphins whose communication whistles could be masked.</p>
<p>The wide array of sound characteristics&#x02014;even from the same source type&#x02014;contributed to the spatial and temporal variability of the acoustic environment experienced by this dolphin community. Each of the sites considered had its own characteristic combination of contributing sound sources. The minimum distance between any two of these sites is approximately 2.5 km, highlighting the site-specific nature of acoustic habitats within the same system. This agrees with findings of previous studies. Soundscape studies in New Zealand (Radford et al., <xref ref-type="bibr" rid="B72">2010</xref>), Pacific Panama (Kennedy et al., <xref ref-type="bibr" rid="B47">2010</xref>), the U.S. east coast (Rice et al., <xref ref-type="bibr" rid="B75">2014</xref>) and Taiwan (Guan et al., <xref ref-type="bibr" rid="B37">2015</xref>) have also noted site-specific sound fields at locations several kilometers apart, generally as the result of biotic or anthropogenic activities. Additionally, there was considerable temporal variation within sites. The Fremantle Inner Harbor was noisiest between the hours of 08:00&#x02013;20:00 h, particularly on weekdays. The presence of both recreational vessel traffic and port activities at these times combine to increase average noise levels. Matilda Bay and Perth waters also displayed increased noise levels during the day, likely from vessel traffic. Noise levels at Heirisson Island only slightly increased during the day; instead, the &#x02018;noisiest&#x02019; period occurred between the hours of 18:00&#x02013;22:00 h as a result of the evening fish chorus. In the Swan River, the &#x0201C;noisiness&#x0201D; of each site also varied according to the frequency band considered; all sites were uniformly quieter in the lowest frequency OBLs, but at the mid- and upper-frequency OBLs there were considerable differences between sites. Overall, snapping shrimp sounds were prevalent at Matilda Bay and Perth Waters, whilst Heirisson Island displayed a strong fish chorus, and the Fremantle Inner Harbor was dominated by sounds from vessel traffic and port activities. In the OBLs centered on frequencies also utilized by dolphins, noise from vessel traffic and snapping shrimp caused the greatest variation.</p>
<p>How dolphins may respond to vessel traffic in the Swan River is still under investigation. A previous study on dolphin occupancy in response to vessel traffic found that despite similarities in vessel densities, dolphins showed differential use of two monitored sites within the river (Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). Fewer dolphin sightings were recorded at Perth Waters when vessel densities were high, whereas vessel traffic appeared to have no relationship with dolphin occupancy in the Fremantle Inner Harbor (Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). The acoustic data presented here from Perth Waters 1, Perth Waters 3 and the Fremantle Inner Harbor overlap temporally with the visual observations presented in Marley et al. (<xref ref-type="bibr" rid="B52">2016b</xref>). It can be clearly seen that dolphins are not experiencing the same acoustic environment at these two separate sites; yet dolphins remained present at the anthropogenically busiest, noisiest one. Future research investigating whether certain vessel characteristics (physical, behavioral or acoustical) elicit responses in Swan River dolphins beyond changes in animal occupancy would provide insight into finer scale responses. These responses could be physical behavioral changes such as alterations to swim speed, activity state, movement patterns, or acoustical behavioral changes such as variations in whistle frequency, repetition, or duration.</p>
<p>To determine the level at which dolphin communications are being masked at anthropogenically noisy sites (such as the Fremantle Inner Harbor), future work on source levels and transmission of whistles in the Swan River is required. In addition, data on how the structure of Swan River dolphin whistles may change in different contextual scenarios should be measured. The acoustic characteristics of whistles appear to vary between dolphin populations, in terms of frequency content, bandwidth, duration, extrema, steps and inflection points (Ding et al., <xref ref-type="bibr" rid="B16">1995</xref>; May-Collado and Wartzok, <xref ref-type="bibr" rid="B54">2008</xref>; Hawkins, <xref ref-type="bibr" rid="B41">2010</xref>; Ward et al., <xref ref-type="bibr" rid="B89">2016</xref>). These differences may be due to distance (e.g., separate vocal evolution, low exchange rates of individuals) or as a result of context (e.g., group composition, behavior). Variations in whistle characteristics could also reflect different environments in terms of physical or environmental characteristics, such as water depth, sediment type, salinity and/or temperature. Ambient noise is increasingly becoming considered an indicator of environmental quality, which could also influence features and use of dolphin whistles (Buckstaff, <xref ref-type="bibr" rid="B11">2004</xref>; Morisaka et al., <xref ref-type="bibr" rid="B60">2005</xref>; Guerra et al., <xref ref-type="bibr" rid="B38">2014</xref>; May-Collado and Qui&#x000F1;ones-Lebr&#x000F3;n, <xref ref-type="bibr" rid="B53">2014</xref>; Heiler et al., <xref ref-type="bibr" rid="B42">2016</xref>). Furthermore, different dolphin populations also appear to vary in the source levels of the whistles they produce (Jensen et al., <xref ref-type="bibr" rid="B46">2012</xref>). To date, the only published analysis of the Swan River dolphins&#x00027; repertoire describes the characteristics of whistles recorded in the Fremantle Inner Harbor and does not include source levels or contextual analysis (Ward et al., <xref ref-type="bibr" rid="B89">2016</xref>). Additionally, little is known about the source levels of different sound types in the Swan River, particularly from anthropogenic activities. Anthropogenic noise has the potential to degrade habitat through a loss of &#x0201C;acoustic space.&#x0201D; In areas which experience high levels of anthropogenic noise, habitat fragmentation may even occur if animals are unable or unwilling to transit through noisy areas in order to reach necessary habitat (Rice et al., <xref ref-type="bibr" rid="B75">2014</xref>). Thus, it would be beneficial to document the structure and source levels of dolphin whistles and human activities at multiple sites throughout the Swan River to see if differences exist in &#x0201C;noisy&#x0201D; vs. &#x0201C;quiet&#x0201D; habitats.</p>
<p>The lack of any long-term increase or decrease in noise levels at Mosman Bay suggests a degree of temporal stability within this site. There is growing concern regarding the increasing level of underwater noise in many coastal areas as a result of expanding anthropogenic activities. Mosman Bay is the site of a long-term acoustic monitoring study due to a prominent fish chorus associated with seasonally-breeding mulloway. To focus on potential increases in anthropogenic noise and avoid including the evening fish chorus in analyses, only data from 06:00 to 12:00 h were assessed. This period was expected to overlap with the morning vessel &#x0201C;rush hour&#x0201D; reported in other studies at different points in the river (Marley et al., <xref ref-type="bibr" rid="B51">2016a</xref>,<xref ref-type="bibr" rid="B52">b</xref>), during a month of increased recreational time due to the austral summer holidays. Although years were not all the same, their average noise levels were all within 3 dB, displaying no overall upwards or downwards trend in yearly noise levels within Mosman Bay. The relatively low effect size associated with the majority of yearly comparisons suggests that, although significant, differences are not considerable. Despite considerable urban growth within Perth over this time period (average annual rate of population grown 2.7% between 2007 and 2015; ABS, <xref ref-type="bibr" rid="B1">2016</xref>), noise levels at Mosman Bay did not increase. Thus, despite some inter-year variability, there appears to be a general long-term stability in the soundscape of this site.</p>
<p>Such acoustic stability in localized soundscapes could be beneficial for long-lived animals such as dolphins, as this may indicate the possibility of predictability in a variable environment. If dolphins are able to use acoustics to aid predictions of when and where different sound sources occur in the river system, this may influence their habitat use. For example, fish calls may indicate prey availability and signal an &#x0201C;attractive&#x0201D; area, whereas vessel or pile-driving noise may signal an &#x0201C;unattractive&#x0201D; area where animals are at risk of disturbance or harm. This information could be particularly important for the decision-making of mother-calf pairs, who may have a greater preference for quieter areas for vital nursing and resting activities. Previous studies within the Swan River have found differential site use by dolphins in response to site-specific environmental and anthropogenic variables (Moiler, <xref ref-type="bibr" rid="B57">2008</xref>; Beidatsch, <xref ref-type="bibr" rid="B7">2012</xref>; Marley et al., <xref ref-type="bibr" rid="B52">2016b</xref>). It could therefore be particularly beneficial to ascertain the relationship between the acoustic characteristics of the environment and dolphin occurrence or behavior.</p>
<p>In conclusion, the Swan River is a highly variable acoustic environment, experiencing a large range of different sound sources. The most ubiquitous noise in the Swan River came from vessel traffic, which was persistent at all sites considered, followed by snapping shrimp which had site-specific prevalence. Although these two sound sources are both strong acoustic components of the Swan River soundscape over similar frequency ranges, their impact on dolphin communication is likely to contrast due to structural differences, with vessel noise suggested to be the more detrimental. The prominence of these sound sources varied spatially, resulting in characteristic soundscapes at different sites within the same river system. Some sites are therefore &#x0201C;noisier&#x0201D; than others, with the Fremantle Inner Harbor the noisiest from an anthropogenic perspective. However, there was variation in &#x0201C;noisiness&#x0201D; within sites, with different sites showing temporal variation in broadband noise levels at the scale of hours, days, months or even (to some degree) years. This spatial and temporal variation illustrates the acoustic complexity of the Swan River soundscape. How dolphins effectively navigate this spatially and temporally complex environment, and at what stage anthropogenic noise becomes too much to maintain a healthy dolphin community, has yet to be determined. Thus, when considering dolphin acoustic habitat, it is beneficial to consider the context of soundscape contributors&#x02014;their frequency structure, duration, variability within source type, and spatio-temporal prevalence.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>Conceived and designed study: SM, CS, CE, and MP. Collected and analyzed the data: SM, with contributions to data collection from MP. Advised on analyses: CE, CS, and IP. Wrote the manuscript: SM, with contributions to drafting, critical review, and editorial input from CE, CS, MP, and IP.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
<back>
<ack><p>The authors would like to thank the following people for their invaluable support of this research: Sylvia Osterrieder, Tim Gourlay, Tristan Lippert, Jamie McWilliam, Nick Riddoch, Leila Fouda, Montserrat Landero, and Scott Ha for assistance in the deployment and recovery of acoustic equipment; David Minchin, Malcolm Perry and Michael Bittle for assistance in the technical aspects of acoustic logger and mooring preparation; and Alexander Gavrilov for Matlab assistance. The Fremantle Port Authority and Swan River Trust generously granted access to different field sites for data collection and provided field support. Long-term acoustic data used in the Mosman Bay analysis was collected as part of a Fisheries Research and Development Corporation project, funded by the Australian Government. And finally, we would like to extend our thanks for financial support to the Swan River Trust, Australian Acoustical Society and Holsworth Wildlife Research Endowment &#x02013; Equity Trustees Charitable Foundation &#x00026; the Ecological Society of Australia.</p>
</ack>
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