<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2014.52014</article-id><article-id pub-id-type="publisher-id">AS-42552</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Evaluation approaches of fish swimming performance
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ukun</surname><given-names>Gui</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ping</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Changwen</surname><given-names>Wu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Zhejiang Key Lab of Marine Aquaculture Facili-ties and Engineering Technology, Zhejiang Ocean University, Zhoushan, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>wp77319@163.com(PW)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>27</day><month>01</month><year>2014</year></pub-date><volume>05</volume><issue>02</issue><fpage>106</fpage><lpage>113</lpage><history><date date-type="received"><day>10</day>	<month>November</month>	<year>2013</year></date><date date-type="rev-recd"><day>13</day>	<month>January</month>	<year>2014</year>	</date><date date-type="accepted"><day>28</day>	<month>January</month>	<year>2014</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   Swimming speeds are the most important index for the evaluation of the fish swimming performance. The terminologies and classifications of the fish swimming performance were summarized in this paper. Taking into consideration of the widely used evaluation approaches of the fish swimming performance by different researchers, a recommended classification methodology of the fish swimming performance was proposed by the authors. And a new concept of the swimming speed, the Maximum Domed Swimming Speed (DSS), was introduced into this new classification framework together with a discussion on its calculation method and the practical significance. According to the classification system, the fish swimming speeds are classified into five categories: Optimum Swimming Speed, Maximum Sustained Swimming Speed, Critical Swimming Speed, Maximum Domed Swimming Speed, and Burst Swimming Speed. Other concepts of swimming speeds are generally merged into the above five categories, respectively. Furthermore, possible relevancies among the Maximum Sustained Swimming Speed (MSS), the Critical Swimming Speed (CSS), and the Maximum Domed Swimming Speed (DSS) were discussed. It was concluded that these three swimming speeds, in a sense, can be regarded as the equivalent indices for the evaluation of fish swimming performance. 
 
</p></abstract><kwd-group><kwd>Swimming performance; Optimum Swimming Speed; Maximum Sustained Swimming Speed; Critical Swimming Speed; Maximum Domed Swimming Speed; Burst Swimming Speed</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. INTRODUCTION</title><p>Swimming performance is considered as a critical character determining the survival of many fishes in the natural circumstance [<xref ref-type="bibr" rid="scirp.42552-ref1">1</xref>]. For many fishes, swimming is the main way to avoid the attack from their predators, obtain food, find a mate, and so on [2,3]. Swimming speed and swimming time are the two mainly used indices for evaluating swimming capability of fishes. Plaut [<xref ref-type="bibr" rid="scirp.42552-ref4">4</xref>] and Hammer [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>] summarized the evaluation approaches of the fish swimming performance used by different researchers, and classified them into three major categories: Cruising Swimming Speed (or Sustained Swimming Speed), Prolonged Swimming Speed and Burst Swimming Speed. This classification methodology is based on the swimming time durations that fishes were swum. The Cruising Swimming Speed (or Sustained Swimming Speed) defines those speeds that can be maintained by a fish for more than 200 min without exhaustion [<xref ref-type="bibr" rid="scirp.42552-ref6">6</xref>]. The prolonged swimming is of shorter duration of time from 20s to 200 min than cruising [<xref ref-type="bibr" rid="scirp.42552-ref7">7</xref>], and ends in fatigue of fish. Burst swimming can only be maintained for brief periods of less than approximately 20 s [8,9].</p><p>However, while doing so, only a few authors adhere to the experimental protocols originally suggested. Instead, they applied a great variety of durations for testing the swimming speeds of fishes. Take the sustained swimming speed as an example, the swimming time durations of 4 h [<xref ref-type="bibr" rid="scirp.42552-ref8">8</xref>], 6 h [<xref ref-type="bibr" rid="scirp.42552-ref10">10</xref>], 12 h, 24 h and 48 h [11,12] were used frequently. The Critical Swimming Speed has been widely accepted as an efficient measurement of prolonging the swimming test. However, the length of tests will also exceed largely the time limitation of the prolonged swimming as defined above when small velocity increasing steps and long-time intervals were applied. Although the classification has been accepted by some other authors [13,14], no significant ecological or physiological relevance has been proposed to validate the classification by defining the cruising swimming speed as the speed that can be maintained by a fish for more than 200 min. Moreover, by doing so, the confusion and misunderstanding may occur when comparing the swimming performance among different fishes.</p><p>The main purpose of this paper is to propose a new classification of the swimming speeds according to the swimming status of fishes without strict limitation to their swimming time durations. And a new concept of swimming speed, the Maximum Domed Swimming Speed, was introduced into this new classification framework together with a discussion on its calculation and the practical significance.</p></sec><sec id="s2"><title>2. FISH SWIMMING PERFORMANCE</title><p>Briefly, we classified the swimming status into continuous swimming and transient swimming, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. Transient swimming is performed anaerobically and propelled by the white musculature. According to the results from many authors, a maximal endurance of 15 - 20 s in transient swimming status was generally found and accepted [7,9,15]. Continuous swimming is fuelled aerobically and can be sustained by a fish for a relative long time, and locomotion is mainly propelled by the red musculature. However, the white musculature will also be used when a fish is exposed to strong currents or variable currents [16,17]. Swimming performance can be classified further into sublevels, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, which will be discussed below in details.</p></sec><sec id="s3"><title>3. STEADY SWIMMING PERFORMANCE</title><p>In steady swimming status, fishes are exposed to a certain velocity which is not altered during the test. Generally, it is also called cruising swimming or sustained swimming [<xref ref-type="bibr" rid="scirp.42552-ref18">18</xref>] and accordingly, the speed is called cruising swimming speed or sustained swimming speed. Cruising speed is originally introduced from aviation domain, which defines the speed that an aerocraft can keep flying with minimal energy consumption. However, it is difficult to define quantitatively when it is used for evaluating the swimming performance of a fish because a series of factors should be considered including fatigue, growing, health, and so on. Normally, it is regarded that fish will not end in fatigue in cruising swimming. But theoretically, a fish will fatigue at any speed, given the time duration long enough without feeding. Thus, when discussing cruising swimming speeds, the research purposes or the swimming time must be determined in advance.</p><p>According to the discussion above, we classified the following two concepts: the Optimum Cruising Swimming Speed and the Maximum Cruising (or Sustained) Swimming Speed into the steady swimming performance. A research purpose such as foraging, growth rate, migrating distance, and so on, must be determined when the former concept is used, and the period of swimming time is needed for the latter. For example, Ware [<xref ref-type="bibr" rid="scirp.42552-ref19">19</xref>] derived theoretically that, with regard to bioenergetics, fish has an optimum foraging speed. Taking Oncorhynchus nerka as an example, he found it is proportional to 0.4 power of the body length. This means, from the point of view of bioenergetics, the cruising speed of Oncorhynchus nerka is not the lower the better. And this was also verified by</p><p>Hammer’s [<xref ref-type="bibr" rid="scirp.42552-ref20">20</xref>] experiments on the growth rate of Merlangius merlangus, which showed a much higher growth rate at the swimming speed of 0.28 BL/s than that at the swimming speed of 0.14 BL/s. Trump and Leggett [<xref ref-type="bibr" rid="scirp.42552-ref21">21</xref>] also calculated the optimum cruising speeds for fish migrating in currents. The concepts proposed or derived from those researches, such as the Optimum Foraging Swimming Speed, the Optimum Migrating Swimming Speed and the Optimum Growing Swimming Speed can fall under the Optimum Cruising Swimming Speed. However, it is still difficult to draw general conclusions on the definitions and researching approaches of different cruising swimming speeds due to the very divergent methods that have been used [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>].</p><p>The Maximum Cruising (or Sustained) Swimming Speed refers to the maximal steady speed that a fish can withstand for a certain length of swimming time and the fish will end in fatigue. Customarily, the concept, Maximum Sustained Swimming Speed (MSS) was used more often by many authors than the Maximum Cruising Swimming Speed because the word “cruising” is normally regarded as the sign of swimming status of a fish without fatigue. Apparently, the MSS depends solely on the swimming time with other conditions unchanged. A period of swimming time less than 20 s is regarded as the range of transient swimming status, and thus 20 s is normally accepted as the lower limit for a fish to maintain sustained swimming status [7,9]. Theoretically, there is no limitation to the maximum swimming time. But the longer the swimming time is given, the lower the MSS will be. It is difficult, if not impossible, to measure the MSS directly. However, it is rather easy to record the swimming times of the fishes at different steady speeds in laboratory experiments. Therefore, it is definitely possible to set up a regression relationship between the swimming speed and the swimming time, and the MSS can be obtained by interpolating in the regression curve according to the designated swimming time that a fish will be forced to swim [<xref ref-type="bibr" rid="scirp.42552-ref22">22</xref>]. There are several standards for measuring the swimming time durations in the laboratory tests. Brett [<xref ref-type="bibr" rid="scirp.42552-ref6">6</xref>] and Fisher and Wilson [<xref ref-type="bibr" rid="scirp.42552-ref12">12</xref>] used a certain ratio of fishes fatigued, i.e. 50% and 10% respectively, as the ending standard of each test. Fisher and Bellwood [<xref ref-type="bibr" rid="scirp.42552-ref11">11</xref>] used an average time standard, which means that each individual fish ended in fatigue and its swimming time duration was recorded separately. Generally, the former standard will be used when a large quantity of fishes are going to be tested. While the latter one is basically applied to the cases with small samples.</p></sec><sec id="s4"><title>4. UNSTEADY SWIMMING PERFORMANCE</title><p>Fish is exposed to varying speeds in unsteady swimming status which includes incremental swimming and decremental swimming. To date, almost all the tests of unsteady swimming performance were carried out in the incremental swimming status. The spontaneous swimming is, needless to say, a status of unsteady swimming but not an index for evaluating a fish’s swimming performance. A fish exposed to waves may also be regarded as a case being in unsteady swimming status. However, this is a very complicated topic and to date there is no relative result been published. Considering about its specialty, we suggest carrying out the research works in this field separately and it will not be discussed in this paper.</p><p>To date, the Critical Swimming Speed (CSS) is the most important index to evaluate the unsteady swimming performance [23-27]. It is measured using incremental swimming approach. The current velocities are not increased gradually, but rather in steps, each speed being maintained for a certain period of time until exhaustion occurs [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>]. However, controversy has existed for a long time with respect to the influences of time interval and velocity increment on the CSS. Some authors demonstrated that there are no significant differences in the CSS with different protocols [27,28], while some authors found that the influence on the CSS is quite notable [29-31]. Also some authors argued that the influence on the CSS can be neglected within a certain range of time interval and velocity increment [7,22]. On the basis of the presented findings, it is recommended to use the time intervals ranging from 20 min to 60 min, and the velocity increments between one-quarter and one-ninth of the CSS which is measured through pre-experiments [5,7].</p><p>The CSS has been favored largely because it takes a shorter time to conduct and uses smaller batches of fish for a statically meaningful value [5,27,32]. However, the CSS protocol is sometimes still time consuming and is not without limitations. A long period of testing time is required when large time intervals and small velocity increments are used in the tests. Therefore, some other approaches were proposed to cut down the time durations in the tests. Jain et al. [<xref ref-type="bibr" rid="scirp.42552-ref24">24</xref>] tested the swimming performance of rainbow trout (Oncorhynchus mykiss) by using the Ramp Velocity Test protocol. This protocol requires a rapid increase of velocities to 75% of the CSS within 5 - 6 min at the first stage. Subsequently, the time intervals are fixed on 30 min till the fish fatigues. Farrel [<xref ref-type="bibr" rid="scirp.42552-ref27">27</xref>] developed the Constant Acceleration Velocity Test protocol, in which a very short time interval of 1 min duration is used. In fact, this approach can be regarded as a special case of the CSS with extreme short time interval. However, it will, to large extent, overestimate the value of the CSS though much time is saved.</p><p>It is generally assumed that the CSS is the speed at which the maximum oxygen uptake occurs [<xref ref-type="bibr" rid="scirp.42552-ref26">26</xref>], and is regarded as a repeatable testing approach. However, the physiological and ecological significance of the CSS is still open to question [5,33]. Although some authors tried to find out its physiological and ecological relevancies through some statistical tools, many conclusions rest only on hypothesizes or speculations [<xref ref-type="bibr" rid="scirp.42552-ref4">4</xref>]. And the conditions, used in the tests, are far from representing most natural environment experienced by fishes [<xref ref-type="bibr" rid="scirp.42552-ref4">4</xref>]. However, if we don’t care too much about the test time duration, the CSS can, in a sense, represent the swimming performance of a fish exposed to a natural tidal current variation. If this is the situation, we would like to say the CSS has its real meaning. In the real sea, the water current follows a certain tidal principle. Take the ideal semidiurnal tide as an example, the tidal current increases from zero to the maximum velocity within approximately 3 h and drops down to zero again in the next 3 h. This process repeats endlessly. The first stage is an incremental process, which is more or less similar to that of the CSS protocol. The second stage is a decremental process. To date, there is no published result of fish swimming performance tested in this condition. The fishes constrained in an off-shore sea cage are exposed to the tidal current all the day, and it is very important for the fishes to survive in the attack form the tidal current. This means that the fishes have to finish the whole process of the half period (approximate 6 h 12 min) without fatigue.</p><p>The maximal tidal current velocity is the key factor determining the final condition of a fish exposed to tidal current. If a fish can finish the whole process of a half tidal period (approximate 6 h 12 min for semi-diurnal tide) and happens to be fatigued in the end, the maximal tidal current velocity is called the Maximum Domed Swimming Speed (DSS). The DSS is very difficult, if not impossible, to measure either in the laboratory or in the natural environment. The authors proposed a semi-empirical &amp; theoretical method for calculating the DSS, which is based on the tidal current theory and the empirical relationship between the maximum sustained swimming speed and the maximum sustained swimming time. This will be discussed more in the following.</p></sec><sec id="s5"><title>5. BURST SWIMMING PERFORMANCE</title><p>In many fishes, the Burst Swimming Speed (BSS), anaerobic speed, is more useful to avoid predator attack, gain food, escape from trawls than sustained swimming speed [4,34], and is critical to their survival. It is generally accepted that burst swimming is performed anaerobically and it can only be maintained for a very short periods of less than 15 - 20 s [7,9]. According to Webb [<xref ref-type="bibr" rid="scirp.42552-ref35">35</xref>], bursts may also include steady or unsteady swimming status. For many species, the BSS can be estimated with the 10BL/s-rule [20,36,37]. However, the BSS depends very much on the duration of the performed burst, which declines exponentially with time and increases with size in absolute units (cm/s), but decreases in relative units (BL/s) [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>].</p></sec><sec id="s6"><title>6. MAXIMUM DOMED SWIMMING SPEED</title><p>The Maximum Domed Swimming Speed (DSS) refers to the maximal tidal current velocity that a fish can finish the time duration of a half tidal period and happens to be fatigued in the end. During this process, the fish will be exposed to the currents which will increase from zero to the DSS and drop down to zero again according to the tidal principle. The DSS has practical meanings as it can be used for selection of suitable fish farming sites.</p><p>As mentioned above, the DSS is difficult to be obtained through directly laboratory measurements. A mediate method is needed. Again, we take the ideal semidiurnal tidal current as an example. The values and directions of tidal current will vary with time, which are controlled by the half-day period and the half-month period, and can be calculated using the following formula [<xref ref-type="bibr" rid="scirp.42552-ref38">38</xref>].</p><disp-formula id="scirp.42552-formula95490"><label>(1)</label><graphic position="anchor" xlink:href="4-3000444x\c57fd517-8504-4626-b87a-ad556a7d39f3.jpg"  xlink:type="simple"/></disp-formula><p>where, <img src="4-3000444x\6bedc3bc-465a-457c-a403-0653476cea36.jpg" />is the tidal current velocity at time<img src="4-3000444x\3c321c59-95ef-49cd-93f6-730e1e5c45cf.jpg" />. The first term in the right part is the velocity variation in the half-day period and is followed by that in the half-month period. <img src="4-3000444x\8d540fde-028a-447c-a275-979f265d0c57.jpg" />is the average velocity amplitude which is written as:</p><disp-formula id="scirp.42552-formula95491"><label>(2)</label><graphic position="anchor" xlink:href="4-3000444x\32f0eaee-2d3c-4282-ba1e-84097631f1fd.jpg"  xlink:type="simple"/></disp-formula><p>where, <img src="4-3000444x\aeb974da-a31a-4866-a12e-6c8f74ef601a.jpg" />and <img src="4-3000444x\48610a87-0424-4fad-a703-9b05e711acb7.jpg" /> refer to the maximum tidal current velocities in spring tide and neap tide, respectively. <img src="4-3000444x\3f3a54e9-6a76-4dde-bab2-b40882c6bf90.jpg" />is the coefficient of velocity fluctuation and is calculated by:</p><disp-formula id="scirp.42552-formula95492"><label>(3)</label><graphic position="anchor" xlink:href="4-3000444x\2c30c1b5-911a-4d5e-9010-83e3759ac3eb.jpg"  xlink:type="simple"/></disp-formula><p><img src="4-3000444x\acd9902e-cd29-408a-ac39-8bae68a3da5b.jpg" />in Formula (1) is the half-day period, which equals to 12.4 h; <img src="4-3000444x\ecc7ef09-1bd6-4fd1-87cf-087ef6f4c3f2.jpg" />is the half-month period, which equals to 14.75 d. For evaluation the swimming performance of a fish, the half-day period (<img src="4-3000444x\e470d9f0-cdb2-41a6-949e-a026c042ff65.jpg" />) is long enough. Thus, only the first term in the right part of Formula (1) is used and the average velocity amplitude <img src="4-3000444x\d383ecdf-2e90-4341-bb0a-225a6091614c.jpg" /> is substituted by the maximal tidal current velocity<img src="4-3000444x\3692a345-e02d-4ebd-98e9-482811cd0916.jpg" />, i.e.</p><disp-formula id="scirp.42552-formula95493"><label>(4)</label><graphic position="anchor" xlink:href="4-3000444x\a108a6ad-b8f7-4ef8-b04c-8f56f60cafd9.jpg"  xlink:type="simple"/></disp-formula><p>Within the half-day period<img src="4-3000444x\342dd38b-69ac-4018-9c5d-afb367d88d68.jpg" />, the current velocity will reach the same maximum values twice, but run in opposite directions. Fortunately, the current direction has no influence to the fish swimming performance. Therefore, it is can be discussed within<img src="4-3000444x\32b0e20c-229e-4f00-b68b-7d4e5b4e92f9.jpg" />, namely<img src="4-3000444x\bfcbf579-64d1-4815-945d-9d2b0c9f55bb.jpg" />, in which the velocity will increase from zero to its maximal value <img src="4-3000444x\7f079ad5-bfeb-48eb-9e77-923e8db4fd3d.jpg" /> and drop down to zero again. Here, <img src="4-3000444x\c0978d71-8504-44c0-a9fa-4f3d03047b7e.jpg" />is the very speed of the DSS.</p><p>In order to obtain<img src="4-3000444x\0e0d90af-2e14-4831-9428-ee942cb6f6d7.jpg" />, the DSS, we have to correlate Formula (4) to fish swimming performance. According to some authors [11,12], there is a kind of exponential relationship between the maximum sustained swimming time and the MSS, which is written as:</p><disp-formula id="scirp.42552-formula95494"><label>(5)</label><graphic position="anchor" xlink:href="4-3000444x\ae649f9a-43a3-4faf-ab38-17f7718b3ba6.jpg"  xlink:type="simple"/></disp-formula><p>where, <img src="4-3000444x\1b5b9a0c-ac85-4bb7-9931-d9ab9e230246.jpg" />means the maximum sustained swimming time when a fish is forced to swim at velocity <img src="4-3000444x\3ada0e26-30d6-4791-a2f1-e17c9e06ede2.jpg" /> (the MSS); <img src="4-3000444x\42265ef3-3786-4ae8-960b-a07792b4744a.jpg" />and <img src="4-3000444x\2bd6382e-340b-454e-92c3-03ca76d97202.jpg" /> are the coefficients which can be obtained through experimental measurements and statistical analysis. By substituting (4) into (5), we have:</p><disp-formula id="scirp.42552-formula95495"><label>(6)</label><graphic position="anchor" xlink:href="4-3000444x\80f79bbc-6c90-40b0-a910-f20cb85de5d4.jpg"  xlink:type="simple"/></disp-formula><p>where, <img src="4-3000444x\67295909-64df-4171-addf-717112d20946.jpg" />means the maximum sustained swimming time of a fish exposed to the tidal current velocity at time<img src="4-3000444x\ac748516-c60e-4d69-a7a9-9e0c94fe9ad3.jpg" />. The Critical Swimming Speed (<img src="4-3000444x\390ea4eb-bcf1-47bd-b645-6ed93f309b01.jpg" />) is calculated using the following formula as originally given by Brett [<xref ref-type="bibr" rid="scirp.42552-ref23">23</xref>]:</p><disp-formula id="scirp.42552-formula95496"><label>(7)</label><graphic position="anchor" xlink:href="4-3000444x\9183bdc8-98ab-451f-aba1-391f1c017b46.jpg"  xlink:type="simple"/></disp-formula><p>where, <img src="4-3000444x\393f4e3d-23f5-4b79-83fe-6f0bf17a3109.jpg" />is the penultimate velocity at which the fish swam before fatigue; <img src="4-3000444x\cf5520fc-f805-4332-a307-ecddf2472848.jpg" />is the velocity increment (cm/s); <img src="4-3000444x\c4d1ba5a-fc75-414e-9157-8dc1f49f01d9.jpg" />is the elapsed time in the last velocity stage; <img src="4-3000444x\64855c63-184d-4ea3-8cd4-7e2ff48953c8.jpg" />is the time interval (normally form 20 min to 60 min [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>]). From the second term in the right part of formula (7), we can find that the stamina of a fish is assumed to be distributed uniformly within the swimming time interval<img src="4-3000444x\2ff7c4be-99bc-4a5a-9929-9ef219d82944.jpg" />. Here, we also follow this assumption: the stamina of a fish is distributed uniformly during the whole stage of steady swimming. Thus, if we divide the swimming duration <img src="4-3000444x\35759955-8a4d-490e-abf9-e234a4f12a41.jpg" /> into many small time fragments<img src="4-3000444x\3fbe794c-d7e2-4f6d-ac21-73713bfe184b.jpg" />, the ratio of the stamina consumption within<img src="4-3000444x\08c76bf1-c1ee-4374-b0a3-23e203526e06.jpg" /> will be <img src="4-3000444x\da26af15-3f98-44f2-a6d3-aaf36a9bf494.jpg" /> (not<img src="4-3000444x\7d3bb5f3-a3ba-48d0-934a-e676ae5219c3.jpg" />). Where, <img src="4-3000444x\c41a5042-efca-401a-81db-877de447eaac.jpg" />is the maximum sustained swimming time at velocity<img src="4-3000444x\5c048145-97ce-45c5-9182-29e41c04be1e.jpg" />. By integrating the stamina consumption within the whole testing period<img src="4-3000444x\351038df-aa9f-49cb-ac2f-de719e794a11.jpg" />, the value will equal to 1 if the fish happens to be fatigued in the end. Namely, we have:</p><disp-formula id="scirp.42552-formula95497"><label>(8)</label><graphic position="anchor" xlink:href="4-3000444x\8ba97dd8-9ae7-478c-a983-7b52ce2eba0e.jpg"  xlink:type="simple"/></disp-formula><p>The<img src="4-3000444x\95b28592-ce95-4646-a900-8a7fd1373ac9.jpg" />, i.e. the DSS, can be calculated by Formula (8) through numerical integrating. However, the DSS depends on the coefficients <img src="4-3000444x\6c072504-59df-48b6-9dd5-8aef04bfb499.jpg" /> and <img src="4-3000444x\e77e9f8a-68f1-4cb7-b2b5-7aaf10c494a0.jpg" /> which are obtained through experimental tests. This means that the DSS is relevant to the MSS. They may, in a sense, be regarded as the equivalent index for evaluating the swimming performance of fishes.</p></sec><sec id="s7"><title>7. DISCUSSION</title></sec><sec id="s8"><title>7.1. Classification Methodology of Fish Swimming Speed/Performance</title><p>Swimming speeds including Sustained Swimming Speed, Critical Swimming Speed and Burst Swimming Speed are the most commonly used indices for evaluating fish swimming performance in the past several decades. Researching works on swimming speeds including their definitions, measuring approaches, affecting factors and the interrelationships have been carried out extensively. Hammer [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>] and Plaut [<xref ref-type="bibr" rid="scirp.42552-ref4">4</xref>] gave a very comprehensive summarization and discussion, and classified the swimming speeds into three categories according to the swimming time durations. However, much wider time range had been used by different authors in rather random ways, which makes the classification be inconsistent and of little sense.</p><p>Taking into consideration of the widely used evaluation approaches of fish swimming performance by different researchers, a new classification methodology was proposed by the authors of this paper. And a new concept of swimming speed, the DSS, was introduced into this new classification framework together with a discussion on its calculation method and practical significance. According to the new classification system, fish swimming speeds are classified into five major categories: Optimum Cruising Swimming Speed (OSS), Maximum Sustained Swimming Speed (MSS), Critical Swimming Speed (CSS), Maximum Domed Swimming Speed (DSS), and Burst Swimming Speed (BSS), as shown in  <xref ref-type="fig" rid="fig1">Figure 1</xref>. Other concepts of swimming speeds are generally merged into above five categories respectively. The Optimum Foraging Swimming Speed, the Optimum Migrating Swimming Speed and the Optimum Growing Swimming Speed et al. fall down to the Optimum Cruising Swimming Speed. However, the Cruising Swimming Speed, the Sustained Swimming Speed and the Spontaneous Swimming Speed are not indices for evaluating the swimming performance of a fish. Generally, they describe some kinds of intermediate swimming status. The Prolonged Swimming Speed and the Endurance Swimming Speed are used as synonyms [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>]. Both are restricted to swimming time duration from 20 s to 200 min [4,5] and have no exact meanings. Thus, it is suggested to avoid using them as the evaluation indices of fish swimming performance.</p></sec><sec id="s9"><title>7.2. Influence of Testing Protocols on Fish Swimming Performance</title><p>It has always been a question about the influence of testing protocols on fish swimming performance. With regarding to the CSS, the influence of time intervals and velocity increments on its result has caught many attentions [22,27]. However, it still cannot draw a general conclusion on how the testing protocols will affect the final values of the CSS. Hammer [<xref ref-type="bibr" rid="scirp.42552-ref5">5</xref>] suggested using the time intervals between 20 min and 60 min, and the velocity increments from one-quarter to one-ninth of the CSS as a general testing protocol. However, the time interval suggested could be a limitation for fish larvae. A much shorter time interval of 2 min was used by Fisher [22,39] during the CSS measurements of several species of reef fish larvae. In addition, there are still many uncertainties due to other influence factors, which make the testing results from different authors incomparable.</p><p>Despite the defectives of the CSS, it has been used extensively as an important index of fish swimming performance because of the smaller batches and less experimental time to run the tests [5,27]. By contrast, more batches and longer time are needed to run the MSS tests, and the numerical regression and interpolation processes are needed to obtain the final values of the MSS. However, the MSS within any time durations and the maximum sustained swimming time at any speeds can be figured out once the regression relationship between them has been set up. In addition, it is a good way for investigating the biochemical changes, such as fat, glycogen and lactate, in muscles and livers of fishes [<xref ref-type="bibr" rid="scirp.42552-ref40">40</xref>].</p><p>Before carrying out the tests of the MSS, the fishes should be introduced into a flume tank and be acclimatized to the temperature, light, original current, and so on. After a period of acclimation, the current is increased steadily [<xref ref-type="bibr" rid="scirp.42552-ref8">8</xref>], in small steps [<xref ref-type="bibr" rid="scirp.42552-ref41">41</xref>], semi-abruptly [<xref ref-type="bibr" rid="scirp.42552-ref42">42</xref>], or abruptly [<xref ref-type="bibr" rid="scirp.42552-ref43">43</xref>], until the test speed is reached. However, the influence of the velocity increasing rate and acclimation current velocity before test on the result of the MSS is not defined or is not reported [5,8]. The authors of this paper have carried out a preliminary investigation of the influences of the acclimation current velocity and the acceleration rate on the MSS of Sciaenops ocellatus (average body length 36.3 cm) and Sparus macrocephalus (average body length 23.6 cm). Results show that the acclimation velocities under 1.5 BL/s (the maximum current batch in the tests) have no significant influence on the MSS of both fishes. The same results have been achieved in the acceleration tests, where the accelerating time from the original acclimation velocities to the test speeds are between 1 min and 8 min. If these preliminary conclusions are verified by wider tests with different fish species and sizes, it will be very convenient to measure the MSS. If this is the situation, the results measured with different acclimation velocities and acceleration rates, within a certain range, can be compared directly.</p></sec><sec id="s10"><title>7.3. Interrelationships amongst MSS, CSS and DSS</title><p>Both the DSS and the CSS belong to the unsteady swimming speeds. The DSS is tested according to the tidal current variation law, while the CSS testing uses an artful protocol in a rather random way. However, they are similar in the process as one DSS test covers double CSS tests without considering about the influence of the change of velocity orientations (increase or decrease) on the results. Therefore, a kind of relationship may be found through substantial tests on both speeds. Once the relationship between them has been set up, the swimming speeds can be converted each other. The most important is the CSS will possess a practical meaning. But before doing so, the influences of the velocity orientation, velocity increment, time duration, time interval, and so on, on the final values of swimming speeds, should be investigated in advance.</p><p>In the other hand, the DSS can be figured out using Formula (8) which is derived based on the mathematical regression model of the MSS as Formula (5). This means a certain relationship between the DSS and the MSS definitely exists. However, an assumption was introduced from the CSS Formula (7) into DSS Formula (8): the stamina of a fish is distributed uniformly during the whole period of steady swimming. This assumption is never proposed but has been used naturally in the CSS calculation. Anyway, more verification on its validity is needed. The authors of this paper made some preliminary tests on the DSS of six Sciaenops ocellatus (caught from a fishing cage with average body length of 36.3 cm). During the tests, the DSS was 76 cm/s calculated by formula (8). The velocity increased from zero to 76 cm/s and then decreased to zero again according to the semidiurnal law. Although all the six fishes passed the maximum velocity, they stopped swimming at different time on the decreasing stage. The results are rather discrete. A possible reason is that the fishes had been cultured in a laboratory tank for 11 days and had been used for several other experimental tests. More tests and new scenarios are probably needed for further verifications.</p><p>As discussed above, we may draw a general conclusion that these three swimming speeds are, to some extent, the same indices for evaluating fish swimming performance. Amongst these three speeds, the DSS has a very clear practical meaning. It should be chosen as an important index for the selection of fish farming sites. Furthermore, it is recommended to use the MSS for evaluating the swimming performance of freshwater fishes, while the CSS and DSS may have little meaning because the river currents are generally steady.</p></sec><sec id="s11"><title>ACKNOWLEDGEMENTS</title><p>This work was financially supported by the National Science and Technology Support Program No.51109187, the Zhejiang Provincial Climbing Program No. pd2013217, and the project form Zhoushan Science and Technology Bureau, No.2013C41002.</p></sec><sec id="s12"><title>REFERENCES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.42552-ref1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Stobutzki</surname><given-names> I.C. and Bellwood</given-names></name>,<name name-style="western"><surname> D.R. </surname><given-names>  </given-names></name>,<etal>et al</etal>. 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