Reproduccion Aulacomya

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    Reproductive cycle ofAulacomya ater [Bivalvia:

    Mytilidae (Molina 1782)] in Punta Arenas Cove(Antofagasta Region, Chile)

    Miguel Avendano Marcela Cantillanez

    Received: 21 August 2013 / Accepted: 22 December 2013 Springer Science+Business Media Dordrecht 2014

    Abstract Changes in the condition of broodstock, presence of larvae, and post-larval

    settlement of A. ater in Punta Arenas Cove (Antofagasta Region, Chile) were used to

    determine its reproductive cycle. The condition used as a spawning indicator shows that

    these events occur in three periods throughout the year (MayJuly, AugustNovember, and

    DecemberFebruary). Intense periods recorded in OctoberNovember and December

    February coincided with periods in which the water temperature descended to less than

    13 C. Simultaneously, plankton samples indicated constant presence ofA. aterlarvae atthis site, with large increases in abundance during August and between October and

    January, reaching a maximum of 2,192 larvae m-3 in October. The periods of increase in

    larval abundance coincide with spawning periods; however, the greatest abundances were

    recorded before the start of the descent of the spawning indicator of the population under

    study. Monthly installation and replacement of collectors, after recording the first

    spawning, showed the permanent settlement of A. aterpost-larvae over the course of the

    study, with a period of greater intensity occurring from the end of August to the end of

    January, registering peaks in October and November with 5,667 and 4,183 post-lar-

    vae 9 600 cm2 collector-1, months which also coincide with the greatest larval abun-

    dance. The presence of larvae and post-larvae of the mytilids Choromytilus chorus andSemimytilus algosuswas also recorded alongside A. aterlarvae and post-larvae. Ch. chorus

    presented a cycle very similar to that ofA. aterin both stages, with a maximum abundance

    of 4,531 larvae m-3 in November and 13,533 post-larvae 9 600 cm2 collector-1 in

    December.

    Keywords Aulacomya ater Mytilids Chile Reproductive cycle

    Larval cycle

    M. Avendano (&) M. Cantillanez

    Laboratorio de Cultivo y Manejo de Moluscos, Dpto. de Ciencias Acuatica y Ambientales,

    Universidad de Antofagasta, Av. Universidad de Chile S/N, Casilla 170, Antofagasta, Chile

    e-mail: [email protected]

    1 3

    Aquacult Int

    DOI 10.1007/s10499-013-9743-5

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    Introduction

    Currently, the farming of mytilids in Chile is made up of three species: Mytilus chilensis,

    Choromytilus chorus,andAulacomya ater, whose production in 2010 reached 221,522 tons

    for M. chilensis, 1,736 tons for A. ater, and 757 tons for Ch. chorus (Sernapesca 2011).This productive activity, 99 % of which is concentrated in the Lakes Region (42S), is

    sustained exclusively by pediveliger larvae collection from the natural environment, just as

    is done traditionally in other mussel farms around the world, where natural spat collection

    is considered the most important segment of this activity. However, despite the importance

    of this step to maintain the growth of farms, in Chile, there are few studies focused on

    understanding the dynamics of natural banks as a source of larvae, and the temporal

    distribution of the banks used as capture places is poorly understood.

    Knowledge of the biological and reproductive cycles of species, and their duration, is

    not only necessary to create an effective spat collection program, but is also necessary to

    provide qualitative information regarding the strength of the recruitments (Avendano and

    Cantillanez2008). Hjort (1914) described knowledge of larval availability as indispensable

    because it is a determining factor of population abundance, while Bayne (1976) indicated

    that the larval abundance pattern of mytilids was related to spawning of the local adult

    population.

    In northern Chile,A. ater, a species which is distributed along the Pacific Ocean from El

    Callao, Peru to the Strait of Magellan in Chile, extending along the Atlantic Ocean from

    the south of Argentina to the south of Brazil, and also present along the South African

    coast (Avendano and Cantillanez2013), has been, economically, the most important of the

    mytilids. Between 1973 and 1981 in the Bay of South Mejillones (23

    S), commercialproduction reached over 500 tons annually (Avendano1984). Based on this history, and

    with the intention of evaluating the possibilities of restarting A. aterfarming in this area of

    the country, the following study was done, which seeks to determine the reproductive cycle

    and quantify the abundance and timing of larvae and the settlement of post-larvae, so as to

    implement future programs of artificial spat collection which could satisfy commercial

    demand for A. ater.

    Materials and methods

    Study area

    This study was done in Punta Arenas Cove (21380S; 70090W), in Antofagasta Region,

    Chile (Fig.1). This place has a natural bank ofA. ater, which is distributed from depths of

    15 m to more than 30 m. Oceanographically, this area is located in a subtropical transition

    zone which, during a normal year, presents a predominance of the sub-Antarctic water

    mass (ASA), which dominates the upper 200 m of the northern branch of the cold

    Humboldt Current. These waters (ASA) mix with a smaller proportion of subtropical

    waters which contain a higher salinity and temperature, and also mix periodically withcolder waters that come from greater depths and correspond to subsurface equatorial

    waters, which ascend toward the coast due to upwelling induced by southern and south-

    eastern winds that predominate in this zone (Avendano and Cantillanez 2011). As a

    response to these irregular upwelling processes, which are present during most of the year,

    with intense periods in summer and winter, there are variations of temperature which have

    altered seasonal cycles (Escribano et al. 1995,2002).

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    Water temperature in the study area

    The average daily water temperature in the area where theA. aterpopulation is distributed

    was determined using records obtained with data loggers (Tid Bit, onset model), installed

    at a depth of 16 m, and programmed to take measurements every hour for the duration of

    the study period.

    Reproductive cycle

    Numerous authors (among them Winter et al.1980; Prieto et al.1999; Oyarzun et al.2010)

    have shown that fluctuation of meat weight (condition indexes) is a good indicator for

    detecting massive spawnings in mytilid populations. To establish the reproductive cycle of

    the study population ofA. ater, the spawning indicator applied by Avendano and Cantil-

    lanez (2013) was used. This spawning indicator corresponds to changes of the slope value

    (b), obtained from the following potential adjustment function: dry weight (g) = a 9 size

    (mm)b

    , in which the decrease in the value ofb represents a spawning event. Thus, monthly

    sampling between March 2010 and March 2011 was done, extracting 100 specimens each

    month from the natural bank, with sizes that varied between 65 and 95 mm along the

    anteriorposterior axis. In the laboratory, the specimens were individualized and submitted

    to a steam bath to extract the meat, which was dehydrated in an oven at 80 C to obtain a

    constant weight.

    Fig. 1 Geographic localization of the study site in the Antofagasta Region, Chile. (1) Punta Arenas Cove,

    (dark circle) areas of larval sampling

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    Larval sampling

    Between April 2010 and March 2011, quantitative sampling of larvae was done with a

    periodicity of 15 and 30 days at three sampling stations (Fig. 1). A 55-lm mesh HYDRO-

    BIOS plankton net was used to perform vertical plankton hauls from a depth of 18 m. Thesamples were then transported to the laboratory where the larvae in each sample were

    identified, counted, and measured. Identification ofA. aterlarvae (given their interaction in

    the samples with two other mytilids: Chorumytilus chorus and Semimytilus algosus) was

    done with a morphological and morphometrical analysis (Le Pennec1978; Ramorino and

    Campos1983; Avendano et al.2011). All of the larvae were counted; however, when they

    were very abundant, they were homogenized in a plankton sampler with 10 divisions, and

    two subsamples of 1/10 of each of these were taken to be counted and measured using

    stereomicroscope with ocular micrometer (Avendano et al. 2006, 2007). The number of

    total larvae in each sample was calculated using the average obtained in the two subs-

    amples multiplied by ten, and the total larvae per m3 were determined using the volume of

    water filtered through the plankton net. The average of each sampling period was calcu-

    lated from the three samples obtained. The larvae size was measured using the anterior

    posterior longitude (Le Pennec 1978).

    The size population structure that the larvae of the three mytilids presented in the

    samples was later submitted to an analysis of cohort discrimination (Cantillanez et al.

    2007; Avendano et al.2011), in order to identify the number of cohorts, mean length, and

    proportionality of the cohorts, per species, using the program MIX 3.1a (MacDonald and

    Pitcher 1979). The histograms of size frequency were plotted according to a normal

    distribution (significance level = 0.05).

    Installation and sampling of collectors

    Starting on July 29, 2010, after a decrease in the A. aterspawning index and confirmation

    of the presence of larvae in the plankton, a collector was installed and replaced monthly.

    This collector consists of a 10-cm-wide by 12-m-long strip of net used for anchovy

    collection that was in disuse. It was tied to an experimental farming line and installed in a

    16-m-deep column of water. The collectors were then ready to start from 1 m depth with

    the help of a rope which tied them to the mother line, therefore maintaining themselves

    vertically using a weight tied to its lower section (Avendano1984).Each collector was extracted monthly and transported to the laboratory where, after

    visually confirming spat settlement on them, 100 cm2 sections were obtained from its

    upper, middle, and lower parts, and were then washed separately with a 180-lm sieve,

    detaching all of the attached post-larvae (Cantillanez et al. 2007). All the post-larvae

    obtained from each section of the collector were homogenized in a plankton separator with

    10 divisions, and two subsamples of 1/10 were fixed in 708 alcohol and submitted to an

    analysis under a stereoscopic microscope with ocular micrometer, so as to identify,

    measure, and count the species (Avendano et al.2007). The average monthly settlement of

    post-larvae of each species was obtained from the settlement recorded in the three sections

    of the analyzed collectors, permitting the projection of their settlement to 600 cm2 (con-

    sidering both faces of the sampled section).

    A one-way ANOVA was used to detect differences in the abundance of the post-larvae

    per species, with prior transformation of the data (log X? 1) for normalization and

    homogenization of the variance. A post hoc Scheffes pair-wise multiple comparison test

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    was performed when significant differences were detected. The tests were done in Systat

    12, and the significance was determined at a = 0.05.

    The demographic structure of the post-larvae of each species of mytilid identified in the

    collectors, considering that Ch. chorus and S. algosus attached themselves along with A.

    ater, was produced by integrating the measurement obtained in the three sections of the

    collector. Later, the number of post-larval cohorts and their median size were estimated

    following the same methodology described for the identification of larval groups.

    Results

    Environmental parameters

    The average daily temperatures during the course of the study fluctuated between 12.4 and17.6 C (Fig.2). High temperatures above 16 C were recorded at the start of autumn (the

    end of March and middle of April 2010), while decreases in daily averages between 13.6

    and 12.9 C occurred between October 25 and November 4 as well as 13.7 and 12.9 C

    between December 14 and January 3, 2011.

    Reproductive cycle

    The spawning indicator used to determine the reproductive cycle of A. ater during the

    study period (Fig. 3) shows that this species spawns more than once during the annual

    cycle, with variable intensities. A low magnitude evacuation of gametes is recorded in

    winter, between the end of May and the last days of July. Afterwards, a marked decrease

    occurs starting at the end of August, with a rapid and sustained evacuation of gametes

    during the last 15 days of the month of October that reaches its lowest value of 0.5 at the

    beginning of November, making it the most important spawning event of this species in the

    study area. A second event of lower magnitude occurs in summer, with a sustained

    01-Mar-10

    01-Apr-10

    01-Ma

    y-10

    01-Ju

    n-10

    01-Jul-10

    01-Au

    g-10

    01-Se

    p-10

    01-Oct-10

    01-No

    v-10

    01-De

    c-10

    01-Ja

    n-11

    01-Fe

    b-11

    01-Mar-11

    Temperature

    C

    11

    12

    13

    14

    15

    16

    17

    18

    19

    Fig. 2 Mean daily water temperatures recorded in Punta Arenas Cove at 16 m depth between March 2010

    and March 2011

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    decrease in the indicator that sets off in the beginning of December, reaching its minimum

    value of 0.8 at the start of February.The intense spawning periods occurring between OctoberNovember and December

    February coincide with periods in which the water temperature reached the lowest daily

    average values in the area where the A. aterpopulation is distributed.

    Larval cycle

    The presence of A. ater larvae was constant in the study area (Table 1), with a hetero-

    geneous temporal abundance pattern. The maximum annual peak of 2,192 larvae m-3

    was

    produced in the middle of October and beginning of November. Large increases also

    occurred at the end of August, beginning of December, and end of January, when thevalues varied between 272 and 453 larvae m-3. These periods of greater larval abundance

    coincide with the periods in which decreases in the spawning indicator were recorded;

    however, the greatest abundances were recorded in earlier dates, before the decrease in the

    indicator.

    Between one and four different A. ater, larval cohorts were identified in the obtained

    samples, of which their median sizes indicated the presence of post-larval stages, com-

    petent larvae, and initial phases of development (Table 1). The post-larval and initial stage

    cohorts were present during a large part of the study, presenting the first median sizes that

    varied between 278.5 and 371.3 lm, in proportions that represented 8 and 100 % of the

    samples, and the second, with median sizes that varied between 117.3 and 137.5 lm,

    reaching proportions of 13.7 and 100% of the sample (Table 1). The greatest proportions of

    cohorts in initial stages occurred in dates before the decrease in the spawning indicator of

    the population ofA. ater in the area.

    The results also showed that, along with A. aterlarvae, in all of the samples, Ch. chorus

    and S. algosus were found. The larval abundance of this species increased in the same

    Fig. 3 Variation of the slope value (b) used as a spawning indicator for A. ater in Punta Arenas Cove,

    Antofagasta Region, Chile, between March 2010 and March 2011. The bars represent in the confidence

    interval for the slope (a = 0.05)

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    Table1

    Averagenu

    mberoflarvae/m

    3

    andlarvalcohortsofA.ater,

    Ch.chorus,

    andS.algosus(C

    n),identifiedineachs

    amplingdate

    Date

    Me

    anlarvae

    perm

    3

    SD

    Cohort1

    Proportion

    (%)

    Cohort2

    Proportion

    (%)

    Cohort3

    Proportion

    (%)

    Cohort4

    Proportion

    (%)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    A.ater

    04-2

    9-2

    010

    11

    2

    324.1

    18.9

    26.4

    235.1

    18.3

    25.9

    158.0

    8.2

    47.7

    05-3

    1-2

    010

    9

    4

    311.0

    36.1

    48.0

    128.2

    19.2

    52.0

    06-2

    9-2

    010

    54

    5

    328.8

    27.2

    13.9

    196.4

    23.1

    16.2

    120.9

    12.3

    69.9

    07-2

    7-2

    010

    17

    6

    337.5

    53.0

    14.3

    137.5

    22.4

    85.7

    08-2

    6-2

    010

    2

    72

    49

    332.6

    25.0

    29.2

    210.4

    23.5

    10.8

    117.6

    10.0

    60.0

    09-0

    7-2

    010

    18

    10

    126.4

    3.4

    100.0

    10-0

    1-2

    010

    49

    20

    355.0

    3.4

    75.8

    239.2

    14.1

    8.5

    162.7

    8.0

    15.7

    10-1

    5-2

    010

    21

    92

    514

    371.3

    6.9

    8.0

    211.7

    8.8

    4.1

    117.3

    1.0

    87.9

    11-0

    4-2

    010

    9

    98

    175

    330.1

    6.0

    8.1

    207.2

    1.4

    91.9

    11-1

    8-2

    010

    2

    26

    93

    287.7

    23.2

    21.7

    127.2

    19.3

    78.3

    11-2

    4-2

    010

    48

    8

    228.5

    13.0

    30.3

    157.4

    5.1

    69.7

    12-0

    2-2

    010

    4

    53

    109

    334.8

    5.3

    25.9

    278.5

    5.6

    23.5

    211.3

    5.2

    13.7

    134.2

    2.5

    36.9

    12-1

    6-2

    010

    1

    30

    64

    344.2

    3.2

    34.0

    287.6

    7.1

    11.9

    241.1

    1.9

    54.1

    12-2

    9-2

    010

    91

    15

    350.1

    4.9

    45.8

    282.7

    6.8

    25.0

    241.6

    5.3

    29.2

    01-2

    7-2

    011

    3

    85

    156

    193.5

    2.9

    86.3

    131.8

    8.8

    13.7

    03-0

    3-2

    011

    55

    28

    303.7

    2.8

    100.0

    03-3

    1-2

    011

    40

    17

    328.1

    11.2

    20.5

    214.1

    9.3

    32.0

    142.2

    6.2

    47.5

    Ch.chorus

    04-2

    9-2

    010

    5

    3

    273.6

    26.8

    27.8

    151.3

    20.2

    73.7

    05-3

    1-2

    010

    23

    10

    128.9

    18.0

    100.0

    06-2

    9-2

    010

    72

    17

    142.3

    45.0

    100.0

    07-2

    7-2

    010

    25

    14

    104.4

    45.9

    100.0

    08-2

    6-2

    010

    48

    8

    249.6

    26.4

    27.8

    147.8

    16.6

    72.2

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    Table1

    continued

    Date

    Me

    anlarvae

    perm

    3

    SD

    Cohort1

    Proportion

    (%)

    Cohort2

    Proportion

    (%)

    Cohort3

    Proportion

    (%)

    Cohort4

    Proportion

    (%)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    09-0

    7-2

    010

    26

    1

    122.5

    27.9

    100.0

    10-0

    1-2

    010

    88

    62

    354.5

    42.8

    21.6

    140.5

    38.3

    78.4

    10-1

    5-2

    010

    7

    09

    192

    356.9

    30.3

    48.7

    129.6

    25.2

    51.3

    11-0

    4-2

    010

    2

    51

    136

    356.2

    27.8

    30.4

    237.3

    25.1

    57.5

    137.1

    25.1

    12.1

    11-1

    8-2

    010

    4,5

    31

    1,7

    19

    355.8

    24.0

    55.7

    248.0

    26.8

    14.6

    140.2

    24.8

    29.7

    11-2

    4-2

    010

    78

    26

    363.3

    29.9

    65.7

    264.3

    25.5

    11.4

    150.8

    17.7

    22.9

    12-0

    2-2

    010

    1,6

    86

    317

    223.5

    25.5

    86.2

    110.5

    15.8

    13.8

    12-1

    6-2

    010

    1,5

    01

    239

    341.8

    30.0

    89.1

    204.7

    25.0

    10.9

    12-2

    9-2

    010

    1

    87

    78

    565.5

    40.0

    15.2

    381.2

    36.8

    57.8

    267.1

    30.0

    15.5

    159.4

    22.9

    11.5

    01-2

    7-2

    011

    2

    72

    57

    296.4

    39.9

    37.0

    170.0

    27.0

    63.0

    03-0

    3-2

    011

    19

    9

    150.4

    32.0

    100.0

    03-3

    1-2

    011

    20

    12

    257.9

    26.5

    51.3

    178.8

    24.0

    48.7

    S.algosus

    04-2

    9-2

    010

    77

    5

    185.6

    16.7

    61.2

    141.6

    11.6

    38.8

    05-3

    1-2

    010

    24

    9

    147.2

    15.6

    100.0

    06-2

    9-2

    010

    1

    01

    22

    272.6

    32.6

    19.7

    178.8

    20.4

    29.6

    129.7

    19.3

    50.7

    07-2

    7-2

    010

    41

    12

    134.3

    25.1

    100.0

    08-2

    6-2

    010

    1,8

    71

    554

    196.5

    36.8

    30.9

    111.8

    8.8

    69.1

    09-0

    7-2

    010

    20

    3

    183.5

    19.6

    64.4

    134.4

    14.5

    35.6

    10-0

    1-2

    010

    1

    06

    28

    361.3

    32.6

    34.3

    175.1

    25.4

    65.7

    10-1

    5-2

    010

    1,8

    86

    494

    342.3

    32.0

    11.7

    199.2

    22.2

    30.3

    114.5

    10.5

    58.0

    11-0

    4-2

    010

    3

    07

    108

    360.7

    35.0

    14.7

    193.0

    17.6

    63.1

    133.8

    10.6

    22.2

    11-1

    8-2

    010

    5

    85

    289

    309.8

    30.3

    23.2

    129.6

    22.1

    76.8

    11-2

    4-2

    010

    1

    49

    107

    301.0

    35.2

    49.0

    181.0

    18.8

    39.5

    110.4

    13.0

    11.5

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    Table1

    continued

    Date

    Me

    anlarvae

    perm

    3

    SD

    Cohort1

    Proportion

    (%)

    Cohort2

    Proportion

    (%)

    Cohort3

    Proportion

    (%)

    Cohort4

    Proportion

    (%)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    Length

    SD

    (lm)

    12-0

    2-2

    010

    3

    55

    57

    181.8

    20.4

    73.9

    130.6

    14.5

    26.1

    12-1

    6-2

    010

    1,6

    30

    349

    343.3

    28.4

    54.6

    203.1

    16.3

    41.4

    131.1

    12.0

    3.9

    12-2

    9-2

    010

    1

    45

    57

    339.4

    36.4

    28.2

    208.4

    20.5

    63.8

    116.7

    19.0

    8.1

    01-2

    7-2

    011

    2,1

    35

    634

    283.2

    18.4

    50.6

    177.6

    15.0

    49.4

    03-0

    3-2

    011

    17

    6

    184.2

    17.0

    100.0

    03-3

    1-2

    011

    21

    3

    308.8

    36.2

    43.6

    218.4

    20.0

    34.5

    145.6

    18.4

    21,9

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    periods in which the A. ater larval density increased (August and from the middle of

    October to the end of January), with S. algosus reaching maximum values that varied

    between 1,630 and 2,135 larvae m-3 and between 272 and 4,531 larvae m-3 for Ch.

    chorus (Table1). Only for the latter species was there no increase in the abundance at the

    end of August, as occurred with A. aterand S. algosus.Cohort analysis applied to the larval size structure ofCh. chorusdiscriminated, as with

    A. ater, between one and four cohorts at different stages of development in one sampling

    period. The post-larval cohorts had average sizes ranging between 273.6 and 565.5 lm in

    proportions of 15.2 and 89.1 %, while in initial stages, their median sizes ranged between

    104.4 and 137.1 lm in proportions of 13.8 and 100 % (Table1). In S. algosus, it was

    possible to discriminate between one and three cohorts in each sampling, integrated as with

    the other species by different stages of development, of which the post-larvae showed

    median sizes ranging between 272.6 and 361.3 lm in proportions of 11.7 and 54.6 %,

    respectively (Table1).

    Post-larval collection

    Monthly settlements ofA. aterpost-larvae on collectors showed a variation between 6 and

    5,667 specimens 9 600 cm2 collector-1 (Table 2). The most intense period of settlement

    occurred between late August 2010 and late February 2011, with a peak in October and

    November when settlements were 5,667 and 4,183 post-larvae 9 600 cm2 collector-1,

    respectively. The fewest settlements of this period occurred during the months of Sep-

    tember and February with 880 and 1,753 post-larvae 9 600 cm2 collector-1 (Table 2).

    The cohort separation analysis of these post-larvae allowed discrimination between oneand two cohorts with median lengths that fluctuated from 374.6 to 1,242.3 lm; The latter

    cohort was recorded in March 2011 and accounted for 6 % of the settlement that occurred

    during that month (Table2).

    Along with the settlement of A. ater that occurred in the collectors, there was also

    settlement ofCh. chorusandS. algosuspost-larvae. The abundance of the three species was

    significantly different (p\0.05), with the settlement of S. algosus being the less repre-

    sented in the collectors compared toCh. chorus(p\0.05), whose abundance was similar to

    that ofA. ater(p[ 0.05). The period of greatest settlement ofCh. choruscoincided with the

    period of settlement for A. ater, reaching a maximum settlement between November and

    December when 11,400 and 13,533 post-larvae 9 600 cm2 collector-1 were recorded,respectively (Table2). The monthly size structure analysis ofCh. chorus post-larvae dis-

    criminated between one and three cohorts with median sizes that ranged between 403.6 lm

    and 1,587 lm (Table2). For its part, S. algosus presented a shorter period of greater

    settlement which was restricted between the months of December and February 2011,

    reaching a peak in December with 3,843 post-larvae 9 600 cm2 collector-1. Monthly, only

    one cohort of this species appeared attached to the collection units, whose sizes during the

    study period varied between 312.9 and 387.5 lm (Table2).

    Discussion

    Reproductive cycle

    Knowledge of the reproductive cycle of mollusks is a prerequisite to understand recruit-

    ment phenomena and to maximize spat collection, which is the base for artificial

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    Table2

    Averagenu

    mberofpost-larvae/600cm

    2

    ofcollectorandpost-

    larvalcohortso

    fA.ater,

    Ch.chorus,

    andS.algo

    sussettledonartificialcollectors

    Date

    Meanpost-larvae

    Cohort1

    Proportion(%)

    Cohort2

    Proportio

    n(%)

    Cohort3

    Proportion(%)

    Immersionremoval

    600cm

    2

    collector

    Length

    SD(lm)

    Length

    SD(lm)

    Length

    SD(lm)

    A.ater

    07/29

    08/26/2010

    6

    4

    475.3

    85.3

    100

    08/26

    10/01/2010

    880

    1,2

    73

    818.9

    179.6

    6

    375.3

    38.7

    94

    10/01

    11/04/2010

    5,6

    67

    2,4

    08

    740.7

    113.5

    74.8

    374.6

    64.0

    25.2

    11/04

    12/02/2010

    4,1

    83

    1,7

    25

    985.9

    185.6

    12.7

    457.7

    75.1

    87.3

    12/02

    12/29/2010

    2,1

    41

    1,2

    43

    455.7

    107.6

    100

    12/29

    01/27/2011

    2,8

    98

    2,9

    59

    375.6

    54.7

    100

    01/27

    03/03/2011

    1,7

    53

    1,4

    34

    498.1

    141.9

    100

    03/03

    03/31/2011

    115

    46

    1,2

    42.3

    190.2

    6

    613.9

    140.5

    94

    Ch.chorus

    07/29

    08/26/2010

    3

    2

    307.2

    160.0

    100

    08/26

    10/01/2010

    1,8

    00

    410

    783.8

    136.0

    31.5

    443.5

    65.4

    68.5

    10/01

    11/04/2010

    2,3

    27

    1,3

    45

    1,4

    23.6

    142.7

    25.9

    997.1

    108.2

    57

    685.9

    94.3

    17.1

    11/04

    12/02/2010

    11,4

    00

    2,6

    10

    1,3

    82.5

    181.2

    5

    758.5

    105.8

    77.4

    403.6

    61.2

    17.1

    12/02

    12/29/2010

    13,5

    33

    12,4

    82

    862.3

    174.7

    28.1

    536.4

    113.5

    71.9

    12/29

    01/27/2011

    5,6

    01

    4,4

    29

    1,5

    87.4

    206.3

    20,5

    781.2

    147.1

    60.8

    467.1

    94.9

    18.7

    01/27

    03/03/2011

    4,1

    92

    3,4

    81

    424.6

    125.0

    100

    03/03

    03/31/2011

    135

    125

    1,2

    27.3

    217,5

    24.5

    704.6

    204.4

    75.5

    S.algosus

    07/29

    08/26/2010

    2

    3

    387.5

    62.7

    100

    08/26

    10/01/2010

    170

    72

    312.9

    33.8

    100

    10/01

    11/04/2010

    187

    243

    318.8

    75.0

    100

    11/04

    12/02/2010

    103

    42

    335.9

    60.5

    100

    12/02

    12/29/2010

    3,4

    83

    1,1

    41

    326.4

    64.7

    100

    12/29

    01/27/2011

    920

    747

    331.8

    84.5

    100

    01/27

    03/03/2011

    1,7

    07

    1,5

    60

    324.4

    64.9

    100

    03/03

    03/31/2011

    82

    66

    318.9

    87.7

    100

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    cultivation of these organisms. To understand this process and evaluate the reproductive

    condition of mollusks, numerous researchers have turned to the use of gonadosomatic

    indexes, employing the change in meat weight as a good indicator to detect massive

    spawnings (Winter et al. 1980). In mytilids, the decreases in the index values have been

    principally related to spawning (Prieto et al. 1999), which has been statistically demon-strated in the case ofPerumitylus purpuratus, for which the largest values of the index used

    represent the gametogenic mature state and lower values represent the stages of spawning

    and post-spawning (Oyarzun et al.2010). In the present work, the use of the slope obtained

    from the relationship between size and dry meat weight (Avendano and Cantillanez2013)

    has resulted in a good indicator for the estimation ofA. aterspawning.

    On the other hand, knowledge regarding the reproductive cycles of marine bivalves

    shows that they differ according to species and populations within the same species, caused

    by a group of endogenous as well as exogenous variables which do not permit the existence

    of a specific reproductive pattern (Barber and Blake1991). Among the exogenous factors,

    temperature and latitude have been associated with reproductive strategy of species,

    indicating annual reproductive cycles in circumpolar zones, semiannual cycles in tem-

    perate zones, and continuous reproduction in tropical zones (Kinne 1963; Lubet and Le

    Gall 1967; Rand1973; Bayne1976; Oyarzun et al. 2010). In mytilids, the importance of

    thermal stress in the regulation of reproduction had already been mentioned by Orton

    (1920), while Lubet and Le Gall (1967) concluded that thermal stress varied by latitude,

    which was corroborated by Calvo et al. (1998) in the case of A. ater.

    The results obtained in the present study show thatA. aterpresented gamete evacuations

    in the months of winter, spring, and summer, with the most intense occurring in August

    November and DecemberFebruary, confirming the long spawning periods that inverte-brates at low latitudes have (Giese1959). Spawnings for this species occur during most of

    the year, with significant periods in AugustSeptember and January, which have been

    identified in the South Mejillones Bay (Henrquez and Olivares 1980). Intense periods

    extending principally between the months of August and February have been reported for

    populations in Peru (Gamarra and Cornejo 2002).

    The influence of temperature on the reproductive cycle dynamic of this species was

    clearly observed during the most important periods of gamete evacuations occurring in this

    population ofA. ater, which were coincident with periods in which the water temperature

    reached lower daily averages. Spawnings occurring in a critical range of temperature have

    been reported for Lamellibranchia by Bayne (1976); however, the results differ from thosereported by Solis and Lozada (1971) for populations of A. ater from the south of the

    country (42S), where spawnings occur when the water temperature reaches between 18

    and 19 C.

    Larval cycle

    Although the periods in which A. aterspawnings occurred coincided with the periods in

    which there were increases in larval abundance, it was not possible to establish a good

    relationship between both processes. The larvae were present all year long in the studyarea, and the greatest abundances occurred before the beginning of the decreases of the

    spawning index in this area. The lack of a direct relationship between spawnings and larval

    abundance has been shown in various bivalve species, for example M. chilensis, Pecten

    maximus (Paulet et al. 1997), Ruditapes phillippinarum (Calvez 2002) and Argopecten

    purpuratus(Avendano et al.2008), whose high index values do not necessarily correspond,

    after their decrease, to the greater quantities of larvae in these species in plankton and the

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    weaker values do not necessarily correspond to the absence of reproduction. Thus, for

    example inP. maximusfrom the Roadstead of Brest (France), it is possible to find larvae in

    the winter, when the index is very low, which would lead one to think that fertilization and

    larval development would be impossible (Paugan et al. 2003).

    By contrast, the different larval cohorts present during this study, whose mean sizesshowed a predominant presence of post-larval cohorts (considering that A. ater meta-

    morphoses to 260 lm (Ramorino and Campos 1983)), as well as significant cohorts of

    initial stages in dates prior to those that registered a decrease in the spawning index, are

    difficult to explain. The larval stage of mytilids normally lasts for 3 and 4 weeks, and can

    be prolonged up to 10 weeks given their capacity to release and resettle themselves on

    various occasions, as post-larvae passively dispersed by currents (Alfaro 2006). Conse-

    quently, the different cohorts found in this study could come from a larval pool generated

    from distinct reproductive populations that spawn non-simultaneously. Their transport

    process could occur within a mesoscale distribution range. The consistent presence of A.

    aterbanks on rocky substrata characteristic of the subtidal area of the Chilean coastal strip

    could be a place for a potential connection between reproductive populations (Pineda et al.

    2007). This would allow the hypothesis that the dynamic of these A. aterbanks could be

    responding to a meta-population structure under the modern concept (Hanski and Sim-

    berloff1997), wherein larval availability of a particular site will depend on the intercon-

    nections that exist between different banks that make up the meta-population (Narvarte

    et al.2001). Toro et al. (2006) show that for M. chilensislarvae in the south of Chile, their

    dispersion capacity over large distances along the coast allows the process of transport and

    settling to occur within a meta-population distribution range.

    To strengthen the hypothesis, it is necessary to point out that along the Chilean coast,with the predominance of the sub-Antarctic current that flows toward the north, the north of

    Chile is subjected to a predominance of southeastern winds which last the whole year

    (Escribano et al. 2002; Avendano and Cantillanez 2008), which has been considered the

    principal causative force of the circulation of surface waters (020 m) in the coastal ocean,

    favoring the advection of larvae from the south, as has been shown for the gastropod

    Concholepas Concholepas (Gonzalez et al.2005). Significant distributions ofP. maximus

    larvae, in size and density in areas devoid of mature specimens, have been explained by

    horizontal transport generated by tides and winds from other spawning sites (Boucher and

    Dao1990).

    These results also show that the larval cycle ofS. algosus andCh. chorus, the latter ofwhich has reestablished itself in the north of Chile in the last decade (Avendano and

    Cantillanez 2011), was similar to that exhibited by A. ater, which demonstrates that in

    northern Chile, the reproductive periods of these mytilid species coincide, similar to that

    which occurs in populations ofM. chilensis, A. ater, and Ch. chorus in the south of the

    country, where the larvae interact during the same time period (Avendano and Cantillanez

    2011). The different larval cohorts recorded in both species in each sampling period

    strengthen the hypothesis posited earlier for A. aterthat its origin could be generated from

    different reproductive populations that make up a meta-population structure in this area of

    the country. However, the simultaneous presence of larvae of these three species couldbecome an undesired element in the implementation of spat collection programs. This

    creates the necessity of larval identification at the species level, so as to understand aspects

    of their larval ecology (Shanks2001), principally the levels of distribution within the water

    column, to assure the appropriate installation of collectors. Currently the identification of

    mollusk larvae in plankton is one of the main difficulties because of the high cost and effort

    that research of this type demands, and the benefits of which are seen over the long term.

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    However, work done on species such as Placopecten magellanicus, P. maximus, and A.

    purpuratus have allowed the understanding of aspects of the larval and settlement level

    dynamic (Sinclair et al. 1985; Thouzeau et al. 1991; Cantillanez et al. 2007), creating

    optimization of seed attachment like in the case ofA. purpuratus (Cantillanez et al.2007).

    Post-larval settlement

    The results obtained from the collectors after 1 month of immersion indicate that the most

    significant settlements of A. ater post-larvae coincide with the periods with the most

    reproductive activity occurring between August and November and December and Feb-

    ruary. Also, these results allow the observation of a certain relationship between the larvae

    present at installation of the collectors and the settlements obtained 1 month later on them,

    as happened during the months of October and November. This relationship becomes more

    direct and proportional with the presence at the moment of installation of the collector,

    from a larger number of competent larvae and post-larvae in the plankton as was observed

    in the months from October to January. A relationship between the presence of competent

    larvae and the eventual number of seeds settled on collectors has been demonstrated for the

    pectinids A. purpuratus (Cantillanez et al. 2007) and Patinopecten yessoensis (Ventilla

    1982). For them, the median size of the settled post-larvae cohorts also has a relationship

    with the sizes of the larval cohorts present during the period when the collectors are in the

    water; however, the cohort 1 recorded in March 2011 with a mean size of 1,242 lm, which

    represented only 6% of the settlement, could be influenced by the transfer of post-larvae

    that occurred from the mother line toward the collector, considering their capacity to loose

    themselves and resettle, and the existence of attachments that are present on the line duringthe study period.

    Similar results were seen with post-larval settlements ofCh. chorus, showing that they

    more than doubled the number of settlements recorded for A. ater, reaching maximum

    values during November and December, 1 month later than that of A. ater. The median

    sizes of the post-larval cohorts of Ch. chorus in the collectors during most of the study

    were greater than those of A. aterthe same as the number of attached cohorts. These

    results, along with showing the greater effectiveness ofCh. chorussettlement, demonstrate

    that this species experiences greater growth than A. ater does. Greater growth ofChor-

    omytilus meridionales than A. aterhas been demonstrated for populations in South Africa

    by Barkai and Branch (1989).In contrast to the above, S. algosus had fewer post-larvae settled on the collectors, with

    a restricted period of settlement between the months of December and February. Their

    settlements were also limited to a sole monthly cohort, whose median size varied from 313

    to 387 lm, which then leads to the supposition that not all larval groups present during the

    period in which the collector was immersed in water attached, considering that its set-

    tlements is produced at 230 lm (Ramorino and Campos 1983). The non-existence of a

    systematic relationship between cohort larval abundance with the performance of seed

    capture has been described by Boucher (1985) for P. maximus. According to this author,

    the absence of attachments of many larval cohorts implies the existence of strong mor-tality, independent of larval density. However, keeping in mind the results for Ch. chorus

    andA. aterin the present study, it is necessary to consider that S. algosusis a species that is

    distributed in the intertidal area, such that the position of collectors far from the coast and

    in a 16 m column of water could affect the settlement of all the larval cohorts.

    In conclusion, the continual presence over the course of the year of different larval

    cohorts of A. aterand Ch. chorus and the continual settlement on collectors in the study

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    zone, indicate a potential area for the implementation of massive spat supply programs

    with the purpose of developing mussel farming in northern Chile, as well as launching

    studies on the larval and post-larval dynamic, therefore generating information about the

    growth and survival of these stages.

    Acknowledgments The present study was developed under the framework of the project INNOVA Cod.07CT91DM-56.

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