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<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
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<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
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<issn pub-type="epub">2296-701X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fevo.2026.1771898</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
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<title-group>
<article-title>Growth of coastal cutthroat trout, <italic>Oncorhynchus clarkii clarkii</italic>, in intensively monitored urban and natural streams in Puget Sound and the Strait of Juan de Fuca</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hanson</surname><given-names>Karrie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Bond</surname><given-names>Morgan</given-names></name>
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<name><surname>Bennett</surname><given-names>Todd</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Liermann</surname><given-names>Martin</given-names></name>
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<aff id="aff1"><label>1</label><institution>Watershed Program, Fish Ecology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration</institution>, <city>Seattle</city>, <state>WA</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>Retired</institution>, <city>Seattle</city>, <state>WA</state>,&#xa0;<country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Karrie Hanson, <email xlink:href="mailto:karrie.hanson@noaa.gov">karrie.hanson@noaa.gov</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-18">
<day>18</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1771898</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Hanson, Bond, Bennett and Liermann.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Hanson, Bond, Bennett and Liermann</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-18">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
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<abstract>
<p>Coastal cutthroat trout (<italic>Oncorhynchus clarkii clarkii</italic>) are considered indicators of stream health, yet paradoxically, they often persist in degraded urban watersheds. To evaluate how cutthroat trout perform in a small urban watershed, we compared several indices of fish size and growth in a small, highly urbanized stream in Seattle, Washington (Pipers Creek) with populations from three larger, forested, watersheds in nearby Strait of Juan de Fuca. We used single sample measures like size and relative condition factor (Kn). We also employed mark-recapture data from PIT-tagged fish to compare multiple performance metrics, including von Bertalanffy growth models, and bioenergetic estimates of food consumption (P<sub>Cmax</sub>). The salmon community composition differed dramatically between systems: Pipers Creek was dominated by cutthroat trout (96%), whereas they were a minor component (1%) in the forested streams, which were dominated by coho salmon and steelhead in summer months. Cutthroat trout from the urban stream were also smaller on average and exhibited a lower maximum body size, suggesting a life history favoring earlier anadromy, yet they were in slightly better body condition. Despite these differences and the degraded nature of Pipers Creek, we found no difference in year-over-year growth rates between the two systems. Bioenergetic analysis supported this finding, indicating that growth in both environments was similarly constrained by food availability, with fish in both systems consuming less than 50% of their maximum potential ration. The similarity in growth among urban and more natural stream highlights the remarkable life history plasticity of cutthroat trout. This resilience allows them to exploit marginal habitats effectively, suggesting that their performance may reflect the species&#x2019; adaptability as much as it does the quality of the habitat itself.</p>
</abstract>
<kwd-group>
<kwd>cutthroat trout</kwd>
<kwd>growth</kwd>
<kwd>habitat suitability</kwd>
<kwd>intensively monitored watersheds</kwd>
<kwd>salmonid</kwd>
<kwd>urban ecology</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. Funding for this study was provided by the Washington State Intensively Monitored Watershed Program and the City of Seattle.</funding-statement>
</funding-group>
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<meta-name>section-at-acceptance</meta-name>
<meta-value>Conservation and Restoration Ecology</meta-value>
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</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Coastal cutthroat trout (<italic>Oncorhynchus clarkii clarkii</italic>) are found in many streams in coastal North America from Southeast Alaska to Northern California, and nearly all Puget Sound streams with access to anadromous fish (<xref ref-type="bibr" rid="B49">Trotter, 1989</xref>). Cutthroat trout often favor small streams, including those rarely occupied by other salmonids (<xref ref-type="bibr" rid="B39">Rosenfeld et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B24">Matzen and Berge, 2008</xref>), and they have several advantages that allow them to thrive in smaller streams than other salmonids. First, their smaller mature body size (ca. 20 cm fork length) compared to other anadromous salmonids, allows for holding, feeding, and spawning in shallow streams. Second, cutthroat trout also have a diverse and flexible life history that may include a mix of adfluvial, fluvial, and anadromous fish in a single watershed (<xref ref-type="bibr" rid="B49">Trotter, 1989</xref>; <xref ref-type="bibr" rid="B52">Zydlewski et&#xa0;al., 2009</xref>). Finally, cutthroat trout have a diverse diet, ranging from instream and terrestrial insects to piscivory, that allow them to adjust to seasonal changes in environmental conditions (<xref ref-type="bibr" rid="B29">Nowak et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B37">Romero et&#xa0;al., 2005</xref>). Following spring spawning, juveniles emerge in the late spring and early summer, and may spend 1&#x2013;5 years in freshwater prior to smolting, while others may remain resident in freshwater (<xref ref-type="bibr" rid="B49">Trotter, 1989</xref>). Those that smolt tend to reside in estuarine and nearshore habitats while becoming piscivorous. Coastal cutthroat trout are iteroparous, with mature and immature individuals returning to freshwater annually to spawn, find overwinter refuge, or forage.</p>
<p>Although cutthroat trout can often be found in smaller ephemeral or intermittent streams, they are also viewed as an indicator of stream health, as they may be sensitive to water quality or other habitat issues (<xref ref-type="bibr" rid="B42">Scott et&#xa0;al., 1986</xref>), including the 6PPD-quinone that can be prevalent in urban runoff and cause high mortality in some salmonids (<xref ref-type="bibr" rid="B44">Shankar et&#xa0;al., 2025</xref>). Despite their potential sensitivity, some urban streams have extensive cutthroat trout populations (<xref ref-type="bibr" rid="B12">DeGasperi et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B45">Silver et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B31">Ostberg et&#xa0;al., 2024</xref>). Although there is substantial documentation of cutthroat trout occurrence in small urban streams, without tagging and tracking studies or serial mark and recapture, the temporal extent of their use of urban streams is largely unknown. Adult cutthroat trout may regularly spawn in streams that function as poor-quality habitats or demographic sinks, where little or intermittent juvenile survival results in a net population loss.</p>
<p>There are several common metrics for assessing fish performance in stream habitats. From single capture events, fish density and size at age (length or mass compared to age from scales or otoliths) or condition factor (e.g., Fulton&#x2019;s K) are often used to assess how rapidly fish are growing or recent feeding success (<xref ref-type="bibr" rid="B6">Bolger and Connolly, 1989</xref>). Others have used biochemical indicators of recent growth like the insulin-like growth factor-1 (<xref ref-type="bibr" rid="B2">Beckman, 2011</xref>; <xref ref-type="bibr" rid="B7">Bond et&#xa0;al., 2014</xref>). Serial sampling of marked individuals allows for the calculation of individual growth rates in length or mass, often expressed as specific growth rate (<xref ref-type="bibr" rid="B23">Lugert et&#xa0;al., 2016</xref>). However, any growth or condition indices require comparative context to provide meaningful information for researchers or managers. That is, comparison of performance indices among the species from different populations or watersheds can provide valuable insights into the health of any single system among the spectrum of habitats available. Growth limitations in any watershed may stem not only from poor habitat or water quality, but from fundamental bioenergetics constraints. Factors such as the thermal environment, prey quality, intraspecific competition, and foraging trade-offs (e.g., predator avoidance) all converge to determine the net energy available for fish growth.</p>
<p>Here, we compare several performance metrics of juvenile cutthroat trout growth (e.g., condition, size at age, year-over-year growth rate) of individuals captured and tagged in a very urbanized watershed in Puget Sound, Pipers Creek, with similar indices from relatively undeveloped Deep, East Twin, and West Twin Creeks in nearby Strait of Juan de Fuca. Although there are no true control streams for this type of comparative assessment, streams that are geographically and climatically similar can still provide a useful context for the benefits and condition of the highly altered urban landscape.</p>
<p>We also took a bioenergetic accounting approach to comparing growth between Pipers Creek and Strait of Juan de Fuca streams (<xref ref-type="bibr" rid="B50">Urabe et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B13">Deslauriers et&#xa0;al., 2017</xref>). In bioenergetic terms, fish growth is the remaining resources from the consumption of prey minus the energetic costs of respiration and waste. Respiration in fish is driven by three primary components: temperature, body size, and activity level (<xref ref-type="bibr" rid="B20">Kitchell et&#xa0;al., 1977</xref>). Because cutthroat trout are poikilothermic, their internal body temperature and resulting metabolic rate are largely driven by temperature of the water they inhabit. However, there are allometric effects of body size on metabolic rate such that the metabolic rate for each gram of tissue decreases with increasing body size. Finally, movement increases metabolic rate, thus occupancy in high velocity habitats and migration require more energy that residence in lentic habitats. For each species and life stage there is a maximum consumption rate that individuals can achieve under conditions of essentially unlimited food availability that depends on prey handling time, digestion and gut evacuation rate. The physiologically maximum consumption rate for a fish of a specific size and thermal experience is called Cmax. Therefore, with laboratory derived species and size-specific metabolic parameters and temperature experienced by an individual, we can estimate the average proportion of Cmax (P<sub>Cmax</sub>) that must have been achieved to result in a known change in body size between two measurement events. In this sense, P<sub>Cmax</sub> represents how well fish were acquiring resources relative to maximum possible for a given thermal environment, and allows us to make comparisons of growth while controlling somewhat for differences in water temperature among habitats.</p>
<p>Differences in growth among streams could be due to several factors like temperature affecting bioenergetics (<xref ref-type="bibr" rid="B14">Elliott et&#xa0;al., 1995</xref>), as well as food availability and threat of predation (<xref ref-type="bibr" rid="B4">Billman et&#xa0;al., 2011</xref>), both of which may be widely mediated by the density of conspecifics and other species alike (<xref ref-type="bibr" rid="B40">Sabo and Pauley, 1997</xref>). Therefore, density of competitors may be a key driver in limiting growth potential (<xref ref-type="bibr" rid="B17">Jenkins Jr. et&#xa0;al., 1999</xref>), yet density is difficult to estimate for stream salmonids. While electrofishing is a standard tool for estimating stream fish abundance, methodological differences in both field practice (e.g., single vs. multiple passes) and statistical analyses (e.g., total catch vs. depletion modeling) complicates comparisons among studies. Consequently, even when field designs appear similar, researchers must exercise caution when comparing density data across studies. In contrast, mark-and-recapture datasets offer more consistency, some information is inherently comparable, such as year-over-year recaptures and the resulting growth information.</p>
<p>Streams heavily impacted by the effects of urbanization may have reduced species richness and invertebrate diversity (<xref ref-type="bibr" rid="B18">Jones and Clark, 1987</xref>), poor water quality from run-off, or be susceptible to warm summer temperatures as a result of degraded riparian areas. We hypothesize that these factors may result in reduced growth rates and size at age cutthroat trout rearing in urbanized streams, after controlling for temperature and body size, when compared to nearby streams with a more natural landscape. Here, we will use comparable factors from both stream types to assess fish growth as a key performance metric.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study areas</title>
<p>Our study focused on Pipers Creek located in the urban environment of Seattle, Washington State (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>), and three forested streams (East Twin River, West Twin River, and Deep Creek) on Washington&#x2019;s Olympia Peninsula. Pipers Creek is the third largest watershed in the city of Seattle and drains an area of 6.5 km<sup>2</sup> (<xref ref-type="bibr" rid="B9">City of Seattle, 2007</xref>). Once heavily forested, land cover in the Pipers Creek watershed is now only 10% open space and parks. The other 90% has been developed into mixed land uses: residential (59%), street rights of way (19%), industrial (7%) and commercial (4%) (<xref ref-type="bibr" rid="B43">Seattle Parks and Recreation, 2015</xref>). This impervious landscape causes precipitation and pollutants to travel into the nearby streams (<xref ref-type="bibr" rid="B11">Crisp, 2000</xref>). Indeed, Pipers Creek and its tributaries enter Carkeek Park from this urban environment descending through steep ravines and storm drains, adjacent to a water treatment facility, before emptying into Puget Sound.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map of Northwest Washington State depicting natural streams in the Strait of Juan de Fuca inset: D, Deep Creek; W, West Twin; E, East Twin, and the more urbanized P, Pipers Creek in the Puget Sound inset. In each inset map, 2022 Coastal Change Analysis Program (C-CAP) land cover data are depicted in three categories: green: tree canopy, brown: shrub, orange: impervious surface. Primary stream channels are shown in light blue and watersheds are outlined in yellow.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g001.tif">
<alt-text content-type="machine-generated">Composite satellite map showing three inset regions: a large central watershed area near the Strait of Juan de Fuca with sub-basins labeled D, W, and E; an urban sub-basin labeled P near Puget Sound; colored overlays highlight watershed boundaries.</alt-text>
</graphic></fig>
<p>Pipers Creek is a highly impacted urban stream with low Benthic Index of Biotic Integrity (B-IBI) (very poor to fair), high fecal coliform levels that frequently exceed state water quality criteria, moderate concentrations of toxic materials, such as heavy metals, and documented pre-spawn salmon mortality (<xref ref-type="bibr" rid="B9">City of Seattle, 2007</xref>). In addition, there are ten partial and ten complete barriers to fish passage that restricts usable anadromous habitat to 640 m within the lower reaches of the watershed. Despite these common afflictions in urban streams, 70% of the area immediately adjacent to the lower creek is considered high quality habitat, and the forested riparian corridor surrounding the creeks produce low water temperatures (16 &#xb0;C (highest 7-day average of daily max), and dissolved oxygen levels 9.5 mg/L (lowest one-day minimum), that seldom fail to meet state standards and respectively (<xref ref-type="bibr" rid="B51">Washington State Department of Ecology, 2006</xref>; <xref ref-type="bibr" rid="B9">City of Seattle, 2007</xref>). Pipers&#xa0;Creek supports a cutthroat trout population, and small numbers of juvenile coho (<italic>O. kisutch)</italic> and chum salmon (<italic>O. keta</italic>) have been observed in the spring (<xref ref-type="bibr" rid="B27">Morley et&#xa0;al., 2010</xref>) with about 100&#x2013;600 adult chum salmon and 5&#x2013;122 coho salmon returning to spawn each fall over the last several decades (<xref ref-type="bibr" rid="B9">City of Seattle, 2007</xref>). However, at least a portion of these returns likely represents survivors from fry outplants rather than natural production.</p>
<p>In contrast to Pipers Creek, the East Twin River, West Twin River and Deep Creek watersheds are larger (35, 32 and 45 km<sup>2</sup>, respectively), forested watersheds on the north side of the Olympic Peninsula, Washington (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). For the purposes of this study, these three watersheds collectively represent our Strait of Juan de Fuca (&#x201c;Strait&#x201d;) streams. The elevations range from approximately 915 m in the headwaters to sea level where the streams empty directly into the Strait. Yearly average discharge ranges from 0.57 m<sup>3</sup> &#xb7; s<sup>-1</sup> in the West Twin River to 1.42 m<sup>3</sup> &#xb7; s<sup>-1</sup> in Deep Creek (Washington Department of Ecology, unpublished data). Precipitation averages 190 cm per year and occurs primarily between October and May as rain, with occasional brief snowfalls (<xref ref-type="bibr" rid="B30">Olympic National Forest, 2002</xref>). Land-use has historically been dominated by logging, which began in the early 20th century with railroad logging and transitioned to truck logging from the 1950s to present. Ownership is a mixture of federal, state, and private industrial lands. Fish species present in the three watersheds include coho salmon, steelhead/rainbow trout (<italic>O. mykiss</italic>), coastal cutthroat trout, chum salmon, Pacific lamprey (<italic>Lampetra tridentata</italic>), western brook lamprey (<italic>Lampetra richardsoni</italic>), torrent sculpin (<italic>Cottus rhotheus</italic>) and reticulate sculpin (<italic>Cottus perplexus</italic>).</p>
<p>Although stream temperatures are similar among the two study systems because of their shared regional climate, low elevation, and small watershed size, there are some notable differences (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). First, Pipers Creek rarely drops below 5 &#xb0;C during winter months, while Strait streams may experience prolonged periods of temperatures below 5 &#xb0;C and may approach freezing temperatures occasionally. However, maximum summer temperatures tend to be higher in Strait&#xa0;streams, though neither system regularly exceeds 16 &#xb0;C for substantial periods.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Temperature in the lower reaches of Deep Creek, representative of Strait of Juan de Fuca streams, and Pipers Creek watershed from January 1, 2007 through January 1, 2009.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g002.tif">
<alt-text content-type="machine-generated">Line graph comparing temperature trends for Deep Creek and Pipers Creek from early 2007 to early 2009, showing similar seasonal patterns with Pipers Creek generally having slightly higher temperatures throughout most periods.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_2">
<title>Fish collection and tagging</title>
<p>We sampled six reaches in three tributaries of Pipers Creek: Pipers Lower, Pipers Upper, Venema Creek Mainstem, Venema Creek Middle, Venema Creek Upper, and Mohlendorph Creek. Study reaches were 50-m long, apart from Venema Middle which measured approximately 184 m. We measured the wetted surface area of each reach by measuring the length and average width of each reach. Cutthroat trout were collected within each reach in late September or early October from 2007&#x2013;2009 using a Smith Root backpack electrofisher. In small streams many studies employ electrofishing paired with a three-pass depletion method. Briefly, this method involves using upper and lower block nets to retain all fish in the study reach during sampling. The reach is then electrofished three consecutive times with individual capture counts retained separately for each pass. In theory, fewer fish will be captured with each pass, such that a curve can be fit to estimate the total reach abundance (<xref ref-type="bibr" rid="B8">Carle and Strub, 1978</xref>). However, in practice, some reaches are difficult to electrofish effectively and may result in poor depletion curves (i.e., similar number of individuals captured on each pass). When sampling time is at a premium, biologists must therefore trade-off extensive sampling efforts (three-pass) with the number of sampled sites. The focus of the Strait of Juan de Fuca sampling has been on the number of separate sites (i.e., single-pass electrofishing), while in Pipers Creek, the focus of sampling was an accurate abundance number (e.g., three-pass electrofishing). All fish captured were anesthetized with Finquel Tricaine Methanesulfonate (MS-222), identified to species, measured, weighed and those greater than 60 mm in length were tagged with a 12 mm passive integrated transponder (PIT) tag. After allowing captured fish to recover, all fish were released back into the habitat units from which they were captured. Previously tagged fish that were recaptured were measured and weighed to determine mean daily growth and relative growth rates, and were then released as described above. Notably, 96 trout sampled in Venema Creek in 2008 were genetically analyzed to determine whether they were cutthroat trout or steelhead, and all were found to be cutthroat trout (Gary Winans, NOAA-NWFSC, pers. comm.). Therefore, in Pipers Creek, all trout regardless of size were classified as cutthroat trout.</p>
<p>Fish were sampled in the Strait streams using similar techniques and equipment to Pipers Creek. However, reaches were typically longer (mean length 81 m), sampling was earlier (late July to early August), and a single pass-electrofishing methos was used with no depletion curve-based abundance estimate. In addition, the Strait streams have substantial steelhead (<italic>O. mykiss</italic>) populations. Young-of-the-year cutthroat trout and steelhead are virtually indistinguishable in the field. As such, fish &#x2265; 60 mm fork length were classified as either cutthroat trout or steelhead by visual characteristics, while fish&lt; 60 mm fork length were all classified as &#x201c;trout fry&#x201d; that could be either species.</p>
</sec>
<sec id="s2_3">
<title>Condition factor</title>
<p>Condition factor is a commonly used metric to assess overall fish health. As a scaled ratio of mass to length, higher values indicate fish that have acquired more food resources compared to those with smaller values (<xref ref-type="bibr" rid="B36">Ricker, 1975</xref>). However, to make comparisons of condition factor among fish of different sizes, Fulton&#x2019;s K depends on isometric growth (i.e., the proportions of the body remain similar as fish size changes) which challenges comparisons among fish of vastly different lengths (<xref ref-type="bibr" rid="B10">Cone, 1989</xref>). Because fish length varied substantially among all sampled individuals in our study, we used relative condition factor instead (<xref ref-type="bibr" rid="B21">Le Cren, 1951</xref>). First, we determined whether a separate length-weight relationship was warranted for the Strait and Pipers cutthroat trout using ANCOVA. We did not find a statistically meaningful interaction among the slopes (i.e., the allometry of each population) of the Strait and Pipers length-weight relationship (ANCOVA, F(1, 2707) = 2.922, <italic>p</italic> = 0.0875). Therefore, we fit a single length weight relationship for all cutthroat trout by fitting the equation:</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mtext>W</mml:mtext><mml:mo>=</mml:mo><mml:mtext>a</mml:mtext><mml:mo>&#x2217;</mml:mo><mml:msup><mml:mtext>L</mml:mtext><mml:mrow><mml:mtext>b</mml:mtext></mml:mrow></mml:msup></mml:mrow></mml:math>
</disp-formula>
<p>Where W is the weight (in grams), L is the fork length in mm, and a and b are derived by fitting. We then used the resulting relationship (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>):</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Length weight relationship for all fish sampled at Pipers Creek and Strait stream sites. Line indicates the best fit relationship W = 1.5&#xb7;10<sup>-5</sup>L<sup>2.91</sup>, where W = fish mass in grams, and L is fork length in mm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g003.tif">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between fork length in millimeters on the x-axis and weight in grams on the y-axis, with a curve representing the equation W equals one point fifty-three times ten to the negative five times L to the power of two point ninety-one. Data points are clustered along the lower left and rise steeply to the upper right, illustrating a nonlinear increase.</alt-text>
</graphic></fig>
<disp-formula>
<mml:math display="block" id="M2"><mml:mrow><mml:mtext>W</mml:mtext><mml:mo>=</mml:mo><mml:mn>1.5</mml:mn><mml:mo>&#xb7;</mml:mo><mml:msup><mml:mrow><mml:mn>10</mml:mn></mml:mrow><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>5</mml:mn></mml:mrow></mml:msup><mml:mo>&#xb7;</mml:mo><mml:msup><mml:mtext>L</mml:mtext><mml:mrow><mml:mn>2.91</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math>
</disp-formula>
<p>to estimate an expected weight for fish of each length. We then divided the measured weight by the fitted weight to estimate relative condition factor. Fish whose measured weight matched the expected weight have a relative condition factor of 1, while heavier than expected fish would have a condition factor of &gt; 1, and lighter fish would have a value&lt; 1. We then compared the distribution of these values among populations using a non-parametric Kruskal-Wallis test.</p>
</sec>
<sec id="s2_4">
<title>von Bertalanffy growth comparison</title>
<p>The allometric relationship of body size that makes comparisons of condition factor among fish of substantially different body sizes challenging also complicates comparisons of growth rate. Growth rate as rates of change in length or mass per day, or specific growth rates that measure the percent change in length or weight per day tend to decline as fish increase in size. Instead of comparing individual growth rates, we compare inferred size at age by fitting von Bertalanffy growth models for each population (<xref ref-type="bibr" rid="B3">Beverton and Holt, 1957</xref>). Traditionally, a von Bertalanffy growth model is fit to fish of a known size and age to estimate growth rate. Here, ages of captured cutthroat trout are unknown, but annual growth rates are known, as well as the fish length at age-0 (<italic>L</italic><sub>0</sub>, 25 mm, <xref ref-type="bibr" rid="B49">Trotter (1989)</xref>). Maximum length (<italic>L</italic><sub>inf</sub>), and the growth rate parameter are estimated for each population by fitting our data to a rearranged von Bertalanffy growth model:</p>
<disp-formula>
<mml:math display="block" id="M3"><mml:mrow><mml:mi>&#x3b4;</mml:mi><mml:mi>L</mml:mi><mml:mo>=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mrow><mml:mtext>inf</mml:mtext></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi>L</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mi>K</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>&#x3b4;</mml:mi><mml:mi>t</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:math>
</disp-formula>
<p>Where <italic>&#x3b4;L</italic> is the expected growth in length (<italic>L</italic><sub>2</sub> &#x2013; <italic>L</italic><sub>1</sub>) during the time interval <italic>&#x3b4;t</italic> (<italic>t</italic><sub>2</sub>- <italic>t</italic><sub>1</sub>), and <italic>L</italic><sub>inf</sub> is the remaining potential growth the fish has left to achieve. Comparing growth models instead of individual growth rates alleviates the difficulties of comparing growth rates from populations with different size distributions by comparing modeled growth of fish with a common starting size. To account for small sample sizes of recaptured individuals, we quantified uncertainty in the demographic parameters (<italic>L</italic><sub>inf</sub> and <italic>K</italic>) using a bootstrapping routine. First, we fit the von Bertalanffy growth model to each population (Pipers Creek and Strait) to obtain initial estimates for <italic>L</italic><sub>inf</sub> and <italic>K</italic>. We then calculated the residuals between the observed growth increments and those predicted by the model. From this set of residuals, we randomly sampled with replacement to create 1,000 new datasets based on realized growth. Each dataset was generated by adding the sampled residuals back to the model&#x2019;s predicted growth values. The von Bertalanffy model was then refitted to each of these 1,000 datasets, producing a distribution of bootstrapped <italic>L</italic><sub>inf</sub> and <italic>K</italic> estimates. The 95% confidence intervals for the original parameters were derived from the bootstrap distributions. We also used this approach to compare the estimated growth of a cutthroat trout with a starting fork length of 60 mm in both regions to determine whether the 95% confidence interval in annual growth encompassed zero (i.e., no difference in growth between regions), or was reasonably found to be higher in one region.</p>
</sec>
<sec id="s2_5">
<title>Bioenergetic analysis</title>
<p>To compare P<sub>Cmax</sub> values between Pipers Creek and the Strait, we used Fish Bioenergetics 4.0 (FB4, v1.1.2, <xref ref-type="bibr" rid="B13">Deslauriers et&#xa0;al., 2017</xref>) software in R (<xref ref-type="bibr" rid="B35">R Core Team, 2024</xref>) to estimate bioenergetic parameters (see <xref ref-type="bibr" rid="B13">Deslauriers et&#xa0;al., 2017</xref> for an overview) and a P<sub>Cmax</sub> for the time between capture events for each individual with: (1) a known starting and ending mass in grams, (2) number of days between measurements, (3) the average daily temperature for each day between measurement events, and (4) the dietary energetic composition available each day. We used the cutthroat trout bioenergetic parameters included in the FB4 software from <xref ref-type="bibr" rid="B1">Beauchamp et&#xa0;al. (1995)</xref>. We used an estimate of the diet composition from cutthroat trout sampled in Pipers Creek during the study period (<xref ref-type="bibr" rid="B15">Godersky et&#xa0;al., 2011</xref>), and from small tributaries of the nearby Elwha River (<xref ref-type="bibr" rid="B26">Morley et&#xa0;al., 2020</xref>), with similar conditions to the Strait streams. Although cutthroat trout can have highly variable diets, the majority of prey in these two regions came from aquatic invertebrates: Chironomid larvae (<italic>Chironomidae</italic> spp), Baetid nymphs, Tricoptera, and diptera larvae. From these primary food resources, we estimated that prey energy density was 3072 J&#xb7;g<sup>-1</sup>, with an indigestible proportion of 0.15 (<xref ref-type="bibr" rid="B47">Thompson and Beauchamp, 2016</xref>) for both Pipers Creek and Strait streams. Both systems have spawning salmon in fall and winter months, primarily steelhead and coho salmon in Strait streams and chum salmon in Pipers Creek. However, salmon derived food (i.e., eggs, flesh, fry) would not be available during the summer sampling period, and fish prey were not found in summer diets. These ephemeral resources may be temporally valuable to cutthroat trout in both systems, but the proportion of diet attributable to salmon resources is unknown, and we did not include them in our bioenergetic comparison. In addition, we acknowledge that the availability and composition of prey may vary substantially across year, seasons, time of day, and landcover classes, but that growth of fish is similarly limited in winter months by cold water temperatures.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>In Pipers Creek and its tributaries, 1239 cutthroat trout were sampled over the four sampling years (2006-2009) at six sampling reaches. Although we classified all trout sampled as cutthroat trout in Pipers Creek, though only 3% (38 fish) of those sampled were&lt; 60 mm fork length, the threshold that excluded smaller unknown trout in Strait streams. In Pipers Creek cutthroat trout comprised nearly all the salmonid abundance (95.7%), with coho salmon and chum fry comprising 2.5% (33 fish) and 1.7% (23 fish) of total abundance, respectively. In stark contrast to Pipers Creek, cutthroat trout (&gt; 60mm fork length) in the Strait of Juan de Fuca streams comprise only 1% (1,949 fish) of all salmonids sampled (174,928), with the remainder composed of coho salmon (49.7%, 87,010 fish), rainbow trout (21.3%, 37,359 fish), and trout fry (27.7%, 48,610 fish).</p>
<p>Although the difference in sampling methodology makes statistical comparison of fish densities between streams impractical, a descriptive comparison between the two system reveals that among all salmonids, the densities are broadly similar among Strait of Juan de Fuca (0.701 salmonids&#xb7;m<sup>-</sup>&#xb2;, 0.32 SD) and Pipers Creek reaches (0.733 salmonids&#xb7;m<sup>-</sup>&#xb2;, 0.12 SD). That said, data from single-pass electrofishing in the Strait streams should be viewed as more of a minimum density since it is unlikely all fish were captured in one pass.</p>
<p>Fish length varied significantly by river (Kruskal-Wallis &#x3c7;&#xb2; = 385.9, df = 3, p&lt; 0.001). <italic>Post-hoc</italic> pairwise comparisons using Dunn&#x2019;s test revealed that cutthroat trout in the Pipers Creek were significantly smaller than those in all other locations (all comparisons p&lt; 0.001). In contrast, no significant differences in length distributions were detected among the three Strait streams: Deep Creek, East Twin, and West Twin (all p &gt; 0.43; <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). Although there is considerable overlap in the size distribution, Pipers fish also had a smaller maximum size indicating that cutthroat trout may not remain resident in Pipers Creek for as long as the Strait streams and may initiate anadromous behavior once they reach ca. 200 mm fork length. In contrast, cutthroat trout in the Strait streams exhibited both a larger median and maximum size with some individuals &gt; 300 mm fork length.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Plot depicting the size distribution of all measured cutthroat trout in each stream. Boxes indicate the median (horizontal line) and first and third quartiles, while whiskers indicate the minimum and fourth quartile lengths and dots are outliers. A Kruskal-Wallis test indicated that there was a significant difference in cutthroat trout fork length among populations &#x3c7;2 (3, N = 2720), = 358.58, <italic>p</italic> =&lt;0.001. Pairwise tests indicate that Deep, West Twin, and East Twin are not significantly different from each other (<italic>p</italic> &#x2265; 0.08), but Pipers Creek is significantly different from all others (<italic>p</italic> &lt; 0.0001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g004.tif">
<alt-text content-type="machine-generated">Violin plot comparing fork length in millimeters across four rivers: Deep Creek, West Twin, East Twin, and Pipers, with each river represented by a distinct color and labeled box plot within each distribution.</alt-text>
</graphic></fig>
<p>Although our analysis of relative condition factor (Kn) found statistically significant differences among cutthroat trout from nearly all streams (Kruskal-Wallis &#x3c7;&#xb2; = 186.71, df = 3, p&lt; 0.001; <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>), the magnitude of these differences was small. Median Kn values ranged from 0.973 to 1.03 (Deep Creek = 0.983, East Twin = 0.995, West Twin = 0.973, Pipers Creek = 1.03). Pairwise comparisons confirmed significant differences between almost all locations (Dunn&#x2019;s test, p&lt; 0.01), with the exception of Deep Creek and West Twin (p = 0.29). All told, cutthroat trout from Pipers Creek were typically 3% heavier for their length than expected from the fitted relationship of all sampled fish.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Plot depicting the relative condition factor among streams. Boxes indicate the median (horizontal line) and first and third quartiles, while whiskers indicate the minimum and fourth quartile lengths and dots are outliers. A Kruskal-Wallis test indicated that there was a significant difference in cutthroat trout fork length among populations, and pairwise tests among streams indicated the following significance levels: ns; not significant, p&#xa0;&gt;&#xa0;0.05; **, p &#x2264; 0.01; and ****, p &#x2264; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g005.tif">
<alt-text content-type="machine-generated">Violin plot comparing relative condition factor (Kn) for fish in four rivers: Deep Creek (yellow), West Twin (green), East Twin (brown), and Pipers (blue). Kruskal-Wallis test shows a significant difference among groups (p &lt; 2.2e-16). Pairwise comparisons indicate significant differences between most rivers, except Deep Creek and West Twin, labeled as not significant. Each violin plot shows data distribution, central median, and outliers.</alt-text>
</graphic></fig>
<p>We calculated annual specific growth rate for all PIT tagged fish that were recaptured after approximately one year at liberty. In Pipers Creek, there were 39 recapture events from 35 individuals indicating at least some likely extended residence time and juvenile survival despite the small creek size. Four individuals were captured in two sequential years following tagging. In the Strait, there were 21 recapture events, though no individual was recaptured more than once. In Strait streams, 20 of 21 cutthroat trout were recaptured in the same habitat unit where they were initially tagged. However, despite the site fidelity of a few individuals, 20 same-site recaptures of 1,750 tagged cutthroat trout, a 1.2% recapture rate may indicate that there is considerable movement, and fish that stay in the same reach year-over-year are relatively rare. As expected, specific growth rate (percent change per day) declined markedly with increasing initial body size (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>), regardless of tagging stream. To compare growth among systems while accounting for large variation in body size, we leveraged the large time (ca. one year) between capture events to estimate annual growth and von Bertalanffy growth curves for each population. We estimated the asymptotic maximum fork length (<italic>L</italic><sub>inf</sub>) to be 245 mm (95% CI: 206, 406) in Pipers Creek and 316 mm (95% CI: 205, 1,020) in Strait streams, not surprising given the larger fish captured in Strait streams. In the von Bertalanffy comparison of growth, the important parameter is K, which determines how quickly fish reach their asymptotic size, and thus, the growth rate. The value of K for Pipers cutthroat trout was 0.313 (95% CI: 0.141, 0.468) tended to be larger than that of Strait at 0.196 (95% CI: 0.009, 0.446) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>). That said, our analysis of K and <italic>L</italic><sub>inf</sub> from 1,000 bootstrapped samples indicated that the 95% confidence interval in the difference between both parameters from the two regions spanned zero, indicating no discernable difference in size at age. Similarly, median difference in expected growth of a 60 mm fork length was 5.9 mm longer in Pipers Creek than the Strait regions. However, the 95% confidence interval in growth also encompassed zero. So, although Pipers fish may grow slightly faster, we could&#xa0;not&#xa0;find a statistically significant difference between the two populations.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Specific growth rate by initial tagging mass indicating a declining specific growth rate with increasing initial mass for all populations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g006.tif">
<alt-text content-type="machine-generated">Scatter plot showing specific growth rate as percent change in mass per day versus mass in grams at tagging, with points distinguished by river: Deep Creek (yellow squares), West Twin (green triangles), East Twin (brown diamonds), and Pipers (blue circles). Most data points are clustered at lower masses with higher growth rates, and growth rate generally decreases as mass increases. A legend in the upper right identifies the symbols for each river.</alt-text>
</graphic></fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Comparison of the von Bertalanffy length at age fitted relationship for each region with the shaded overlapping 95% confidence intervals. The Strait of Juan de Fuca streams are the dashed blue line, while Pipers Creek is the solid green line.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g007.tif">
<alt-text content-type="machine-generated">Line graph comparing growth in length over age for two populations labeled Pipers (green solid line) and Strait (blue dashed line), with shaded confidence intervals and axes labeled in years and millimeters.</alt-text>
</graphic></fig>
<p>Finally, for Pipers Creek fish, we used our bioenergetic analysis to compare realized annual growth to the growth that would be expected if fish were feeding at their size-specific maximum ration, C<sub>max</sub>. We estimated the proportion of C<sub>max</sub>, as P<sub>Cmax</sub> using the temperature in each stream during days at liberty between captures. We found that, on average, Pipers fish were feeding at a P<sub>Cmax</sub> of 0.41 (SD = 0.035), while Strait fish were feeding at an average P<sub>Cmax</sub> of 0.46 (SD = 0.045). For Pipers Creek fish, a larger number of recaptures were initially sampled, and recaptured on the same date in successive years. For this subset of fish that all experienced the same temperature profile between measurement events, we also estimated the growth potential at a wide variety of P<sub>Cmax</sub> to determine how much growth might have been realized if feeding rates were higher or lower. In general, we found that with elevated P<sub>Cmax</sub> fish could have achieved much higher growth (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>) with the same temperature and prey energy density.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Realized annual growth of Pipers Creek cutthroat trout (white points) with fish mass on tagging date September 26, 2007 (x-axis) and mass of the same individuals on September 22, 2008. The colored gradient field indicates the overall consumption rate C<sub>max</sub> required to achieve the realized growth of any mass. Brighter colors indicate a higher P-Cmax (approaching 1) while darker colors indicate a lower p-Cmax. Colors near black indicate zero annual growth.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-14-1771898-g008.tif">
<alt-text content-type="machine-generated">Scatter plot with background color gradient showing p-values from 0.4 to 1.0 for the relationship between fish mass on September 26, 2007 (x-axis) and September 22, 2008 (y-axis), with individual points marked as white circles and color scale at right.</alt-text>
</graphic></fig>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Our expectation of cutthroat trout performance was low for Pipers Creek; a small urbanized watershed with potential exposure to contaminated runoff and concerns about temperatures, dissolved oxygen, eutrophication, sedimentation, and riparian disconnection. In addition, Pipers Creek has been classified as having a poor benthic index of biological integrity (<xref ref-type="bibr" rid="B27">Morley et&#xa0;al., 2010</xref>). It is now recognized that cutthroat trout are very susceptible to some of the same chemicals that have been well documented to cause mortality events in coho salmon in similarly urbanized environments, such as Seattle&#x2019;s Thornton Creek (<xref ref-type="bibr" rid="B25">McIntyre et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B48">Tian et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B44">Shankar et&#xa0;al., 2025</xref>). Cutthroat trout are also often viewed as sensitive species, with their presence serving as an indicator of high ecological integrity and elevated water quality (<xref ref-type="bibr" rid="B45">Silver et&#xa0;al., 2018</xref>). Paradoxically, studies in Puget Sound (though not in Pipers Creek or the Strait) have found that the proportion of cutthroat trout may increase as streams become more urbanized, potentially indicating a more robust tolerance to the aforementioned stream impairments commonly associated with increased urbanization (<xref ref-type="bibr" rid="B24">Matzen and Berge, 2008</xref>). Cutthroat trout are also highly mobile and facultatively anadromous; individuals may be able to avoid poor stream conditions by moving out of creeks and into marine habitats (<xref ref-type="bibr" rid="B28">Northcote, 1997</xref>; <xref ref-type="bibr" rid="B52">Zydlewski et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B22">Losee et&#xa0;al., 2018</xref>). Despite these issues, cutthroat trout were by far the most common fish found in Pipers Creek, and the small size of many individuals indicates many were likely spawned locally. Additionally, although recapture rates were low, year-over-year recaptures indicated that at least some fish were likely remaining in the stream year-round.</p>
<p>Perhaps the most striking biological difference between the two regions is that Pipers Creek is a cutthroat trout dominated system, while Strait streams are largely coho and rainbow/steelhead trout systems (<xref ref-type="bibr" rid="B16">Hall et&#xa0;al., 2016</xref>). The caveat is that smaller (&lt; 60 mm fork length) trout in Strait streams may be either rainbow trout or cutthroat trout and cannot be identified in the field (<xref ref-type="bibr" rid="B19">Kennedy et&#xa0;al., 2009</xref>). Unfortunately, no comparable genetic analysis discerning the two species has been conducted on the Strait streams. However, over a hundred steelhead females may spawn in each of the Strait streams each year, producing &#x2265; 5,000 eggs each, while the small body size of cutthroat trout may limit them to an order of magnitude fewer (ca. 200-500, <xref ref-type="bibr" rid="B41">Scott and Crossman (1973)</xref>). Other salmonids may avoid Pipers Creek due to its small size and distinct lack of habitat complexity; coho salmon require deep pools and off-channel habitats for overwinter survival (<xref ref-type="bibr" rid="B32">Peterson, 1982</xref>; <xref ref-type="bibr" rid="B5">Bisson et&#xa0;al., 1988</xref>; <xref ref-type="bibr" rid="B34">Quinn and Peterson, 1996</xref>). The lack of instream complexity in Pipers Creek likely also limits steelhead that, as larger bodied sea-run adults, may benefit from larger deeper pool habitats for spawning, and rearing in freshwater for up to three years before seaward migration (<xref ref-type="bibr" rid="B33">Quinn, 2018</xref>). Similarly, the Strait streams may have a more fluvial population of cutthroat trout in addition to anadromous individuals, while Pipers Creek may be comprised of anadromous individuals that have extensive growth and maturation outside of the creek environment. Sampling during the peak spawning months of January-March, may help determine the portion of the populations that are comprised of larger bodied individuals that may enter freshwater to spawn and return rapidly to Puget Sound while remaining undetected in summer sampling. Overall, the reduced species diversity in Pipers Creek is not surprising given its much smaller watershed, which has also been truncated by urban development and the disconnection of much of its watershed through stormwater routing away from the creek (<xref ref-type="bibr" rid="B46">Terui et&#xa0;al., 2021</xref>).</p>
<p>Despite the limitations in statistically comparing fish densities among the streams, the overall numerical density of all salmonids in mid-summer was broadly similar among the two streams. Therefore, the competition for resources may stem more from interspecific competition in the Strait streams, while intraspecific competition dominates in Pipers Creek. The result is that, although we observed a conserved length-weight relationship among the regions, Pipers Creek fish tended to be slightly heavier for their length. This may result from the lack of interspecific competition in Pipers Creek, and despite the intermediate benthic invertebrate indices, fish are readily obtaining prey resources, perhaps more so than Strait cutthroat trout.</p>
<p>Although Pipers Creek cutthroat trout were slightly heavier for their size, two different methods of growth rate estimation between the regions indicate no discernible difference between the creeks. Part of this may be due to the small sample of year-over-year recaptures. A larger sample size may have been able to separate more subtle differences between the regions that our bootstrapping did not reveal. However, despite the small sample size, the growth experienced by cutthroat trout in both regions is at least broadly similar. In an earlier study of cutthroat trout growth in urban and rural streams, <xref ref-type="bibr" rid="B42">Scott et&#xa0;al. (1986)</xref> found that fish grew comparatively faster in the more urbanized watershed. Our size at age analysis also indicated that although Strait cutthroat trout reach a larger maximum size, they achieve that size by remaining in the creeks longer rather than growing faster than Pipers creek fish. The average annual P<sub>Cmax</sub> of ca. 0.4 in both streams indicates that growth in both systems is likely limited by availability of prey, although whether production or competition limits that access, or whether the mechanism is similar among the streams, remains unknown (<xref ref-type="bibr" rid="B50">Urabe et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B38">Roon et&#xa0;al., 2025</xref>). What we can say is that maximum temperatures do not currently limit growth in either system, though extended periods of cold temperatures likely limit both fish growth and prey production in winter months. Overall, cutthroat trout appear to be well suited to urban streams compared to other salmonids. In particular, their ability to spawn in small streams during high instream flow months (ca. Jan-March) when streams are warming, while avoiding stream entry during the very low flow periods and the difficulties that larger bodied species (e.g., coho salmon) may encounter spawning in very small streams, while also avoiding the worst of winter floods that may disturb redds. In addition, many urban streams have been simplified to remove wood and off channel habitats that may threaten urban infrastructure. While coho salmon have suffered under such conditions, cutthroat trout may be better suited to deal with simpler channel forms.</p>
<p>In this study, we employed multiple analytical approaches to rigorously compare the growth of coastal cutthroat trout between a small, urbanized stream and several larger, intact forested watersheds that are part of the long-standing Intensively Monitored Watershed (IMW) program. Despite the stark differences in the landscape context, our analyses did not discern a notable difference in growth rates between the populations. Ultimately, this finding may reveal as much about the remarkable plasticity and resilience of cutthroat trout to exploit marginal habitats as it does about the quality of the urban habitat itself. The ability of cutthroat trout to maintain comparable growth in a highly modified system underscores its adaptability and highlights the challenge of assessing habitat quality for a generalist species. Studies of this kind, which rely on parameter estimation and the detection of subtle population responses, could not be completed without the foundational datasets provided by these IMW efforts. Continued investment in long-term monitoring is essential for generating the sustained, high-quality data necessary to accurately model resilient species.</p>
</sec>
</body>
<back>
<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>Ethical approval was not required for the study involving animals in accordance with the local legislation and institutional requirements because this study was conducted following the conditions and guidelines of permits issued by the Washington Department of Fish and Wildlife.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>KH: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Data curation, Investigation, Conceptualization. MB: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Methodology. TB: Conceptualization, Data curation, Investigation, Methodology, Writing &#x2013; review &amp; editing. ML: Formal analysis, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>This study was made possible by efforts from members of the Lower Elwha Klallam Tribe&#x2019;s Natural Resources Department, the City of Seattle, George Pess, Phil Roni, Gabriel Brooks, and numerous people who assisted with data collection. We specifically acknowledge Sarah Morley whose projects on Pipers and Venema Creeks laid the foundation for this paper. We also thank Toshio Matsuoka and the reviewers whose comments greatly improved the manuscript. The capture, sedation, tagging, and release of all trout followed protocols approved by NOAA under federal guidelines.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</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&#xa0;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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