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Journal of Experimental Marine Biology and Ecology 243 (2000) 81–94

www.elsevier.nl / locate / jembe

Estimation of the life history parameters of Mytilus

galloprovincialis (Lamarck) larvae in a coastal lagoon

(Ria Formosa — south Portugal)

*

´ ´

Luıs M.Z. Chıcharo , M. Alexandra Chicharo

ˆ ´

Unidade de Ciencias e Tecnologias dos Recursos Aquaticos — CCMAR, Universidade do Algarve,

Campus de Gambelas, 8000 Faro, Portugal

Received 5 February 1999; received in revised form 22 July 1999; accepted 23 July 1999

Abstract

The life history parameters of early stages of marine invertebrates, particularly field estimations, have received relatively little attention. The aim of this research was to estimate in situ abundance and growth of Mytilus galloprovincialis planktonic larvae. Plankton samples were filtered through gauze of 63 mm mesh and identified, counted and measured using an inverted microscope. Short-term fluctuations in Mytilus galloprovincialis larvae abundance and environmental parame-ters (water temperature, salinity, wind velocity direction, tidal amplitude and chlorophyll a) were monitored (two to three times a week). Larval cohorts were identified using size–frequency distributions and age estimates compared with larval shell growth lines. Data were fitted to the linear, exponential, von Bertalanffy and Laird–Gompertz growth models. Larval growth adjusted

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better to the Laird–Gompertz model (0.52560.073mm d ; r 50.768; P,0.05). Reduction of shell growth after 1 to 1.5 months in the plankton suggests the occurrence, in this period, of a ‘delay of metamorphosis’ phase. The results of our study indicate that advection and availability of settlement substratum may be the key factors for the life history parameters of this species in a coastal system such as the Ria Formosa.  2000 Elsevier Science B.V. All rights reserved.

Keywords: Bivalve larvae; Growth; Mussel; Mytilus galloprovincialis

1. Introduction

The high productivity of shallow coastal lagoons, such as the Ria Formosa, is the result of contact of the water column and the sediment with good light conditions

*Corresponding author. Tel.:1351-89-800-900; fax:1351-89-818-353. ´

E-mail address: lchichar@ualg.pt (L.M.Z. Chıcharo)

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(Sprung, 1994). The Ria Formosa is a highly dynamic system and is characterised by ´

high larval abundance, especially of Mytilus galloprovincialis (Chıcharo, 1996). The Ria Formosa has a long tradition of bivalve culture, especially Ruditapes decussatus, contributing 90% of Portuguese production. However, the importance of diversification of cultured species is recognised. The high availability of mussel larvae in the plankton offers an important alternative for bivalve production, if adequate research on the subject is implemented.

In situ Mytilus galloprovincialis larval growth and mortality have not received much attention, despite their ecological importance. This is probably because their life history variables are difficult to assess due to methodological problems. The most accurate estimations of field growth and mortality result from continuously sampling the larvae in the plankton from the same water column and detecting their variation in length and in number. However, identifying and following larval cohorts in the plankton is very difficult (Morgan, 1994, 1995). Due mainly to this limitation, estimates of mortality and growth of bivalve larvae based on larval cohorts in the plankton have only been made by Korringa (1941), Quayle (1964), Jørgensen (1981) and You and Ryu (1985). A comparatively larger number of studies have analysed laboratory reared bivalve larvae growth and mortality (e.g., Bayne, 1965; Walne, 1966; Pechenik et al., 1990; Rumrill, 1991; Beiras et al., 1994).

Several environmental factors, such as temperature and salinity (Calabrese, 1969; Kingston, 1974; Hrs-Brenko, 1978), food concentration (Sprung, 1984; Pechenik et al., 1990), physical mechanisms (Morgan, 1994; Belgrano et al., 1995; Richards et al., 1995), or predation (Young and Chia, 1987) may affect bivalve larval growth and mortality rates. Whereas in laboratory experiments some of these factors can be controlled, their influence in natural habitats is impossible to ascertain.

The dynamics of larvae from planktonic populations have important implications for the life histories of marine benthic invertebrates (Vance, 1973a,b; Strathmann, 1985; Hines, 1986). Thorson (1950, 1966) highlighted the impact of larval mortality in the recruitment of benthic populations. In fact, rates of growth and natural mortality can vary among populations of larvae, and the availability of settling larvae may influence patterns of recruitment.

Specific objectives of the present study were the estimation of abundance and growth during the planktonic life of Mytilus galloprovincialis in a coastal lagoon, Ria Formosa. The abundance results were compared with tidal amplitude, water temperature, salinity, wind velocity and direction and a food availability indicator (chlorophyll a).

2. Methods

2.1. Study site

M. galloprovincialis larvae were collected from the plankton of the Ria Formosa lagoon (south Portugal), a tidal lagoon including salt marshes, creeks and tidal flats, extending for about 55 km in length and up to 6 km in width, with an average depth of 3

˜

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Fig. 1. Location of sampling station (d). This station was sampled over the period May–August 1990.

communication with the Atlantic Ocean. The exchange of water between the Ria and the ´

adjacent ocean is about 50–75% in each tidal cycle (Aguas, 1986). The water temperature varies from about 12–138C in winter to 27–288C in summer. Variations of ˜ salinity are small, ranging between 25.5 and 36.9 PSU (practical salinity units) (Falcao et al., 1985).

2.2. Environmental parameters

Environmental parameters were measured two to three times per week, between May 4 and August 31, 1990, at the location indicated in Fig. 1. Water temperature and salinity were measured with a Kent Eil 5005 MC5 probe. Wind velocity and direction data were obtained weekly from the Meteorological Service of Faro Airport (Fig. 1), which is directly adjacent to the study site. Chlorophyll a was determined spectrophotometrically and corrected for phaeopigments (Lorenzen and Jeffrey, 1980). Tidal amplitude was calculated by subtracting the low tide (m) from the high tide level (m).

2.3. Sampling strategy and laboratory procedures

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hypochlorite solution. Bivalve larvae were identified (according Le Pennec, 1978), counted and measured to the nearest micrometer at 400–1000 magnification, using a Zeiss IM35 inverted microscope, after subsampling using a Stempel pipette. Shell growth lines were counted on photographs.

2.4. Growth models

Length–frequency distributions were analysed by the Bhattacharya (1967) method, and calculations were performed with the Complete Elefan package (Gayanilo et al., 1988). This method assumes that the components are normally distributed. These underlying distributions can be identified as a series of two or more points defining a regression line with negative slope when the logarithms of the ratios of successive frequencies are plotted against the corresponding midpoints. Two criteria were used to identify the modes: (a) the separation index, a ratio based on the difference between the means of the components and their standard deviations — components showing a separation index greater or equal to 2 were considered meaningfully separated; and (b) the confidence interval of the correlation coefficients of the regression lines referred to above. The observed and expected distributions were compared by the Chi-square method (Sokal and Rohlf, 1981).

The age of each modal class was attributed considering that age-0 corresponds to the length of the smallest larvae caught, with 0–1 growth lines (‘D’ veligers, according to Le Pennec, 1978). The modal length of different larval cohorts was plotted separately to follow their progression over the sampling period. Series of estimated mean lengths-at-age, considered to represent growth in time, were used to estimate the daily growth rate. The age attribution was compared with the number of fine growth lines present in the

Mytilus galloprovincialis larval shell.

Following previous literature (Bayne, 1976; Zweifel and Lasker, 1976; Cerrato, 1990; Campana and Jones, 1992) larval growth was examined using several models: the von Bertalanffy (1938) model:

(2K (t2t ))c 0

Lt5L [1` 2e ]

the Laird–Gompertz model (Gompertz, 1825; Laird et al., 1965):

2G t0

where L refers to the shell length at time t in days from the larva appearing in thet plankton, L` is the maximum or asymptotic length, L the theoretical length corre-0

sponding to age-0, G the specific growth rate at t50, G the rate of exponential decay,0

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By solving the Laird–Gompertz equation it is possible to calculate the length, corresponding to the inflexion point of the sigmoid curve, at which the growth rate is maximal (L ):i

Li5L / e`

as well as the maximal growth rate (GCM):

GCM5G L0 i

and the maximum length for the species (L ):`

Kc

L`5L e0

3. Results

3.1. Environmental factors and Mytilus galloprovincialis larval abundance

During the sampling period, between May 4 and August 31, 1990, spring tides occurred on May 23–25, June 23–25, July 23–26 and August 22–24 (Fig. 2a). Wind

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velocity ranged between 2 and 6.7 m s (Fig. 2b). The highest values were registered in July. The wind direction was variable (Fig. 3). A seasonal pattern of Chlorophyll a was

21

observed (Fig. 2b), with the highest value during spring (11 June, 5mg l ) and lowest 21

during late summer (27 August, 1.8mg l ). Water temperature and salinity ranged from 19 to 27.58C, and from 35.1 to 36.5 PSU, respectively (Fig. 2c).

Mytilus galloprovincialis larvae were present in the plankton throughout the entire

sampling period (Fig. 2a). The abundance began to increase the first day of May, when 23

the maximal value was recorded, 4721 individuals m . The lowest value was observed 23

by the middle of June with 37 individuals m , however an important variation in the abundance was observed between successive samples. A great reduction was noted during spring tides.

3.2. Growth rate

Ten larval cohorts of M. galloprovincialis were identified. The progression of the modal classes considered for each cohort is plotted in Fig. 4. Fine growth lines in larval shells (Fig. 5) were assumed to be deposited daily and suggested development of an age–length relationship. Fitted parameters for all the growth models are given in Table 1. Growth curves (Fig. 6) for larval shell length were significant at P,0.05. The Laird–Gompertz model yielded the best fit to length data, as shown by the correlation coefficients and P values for the overall growth parameters (Table 1). Based on the Laird–Gompertz equation, the maximum length for the larvae of M. galloprovincialis

21

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Fig. 3. Wind direction registered near the sampling station (Airport — see Fig. 1). Frequency distribution over the entire study period (4 May–31 August 1990).

4. Discussion

The abundance, growth and mortality of larvae during the planktonic life are interdependent and affected by similar factors. In fact, slower growth results in a longer planktonic life with an inherently longer exposure to predators and to possible adverse environmental conditions, leading to reduced abundance. Consequently, larval life history parameters in the plankton are generally affected by the same factors, namely temperature, food quality and quantity (Sprung, 1984), abundance of predators (Young and Chia, 1987; Rumrill, 1991), salinity (Richmond and Woodin, 1996), physical mechanisms such as advection, diffusion or water turbulence caused by wind (Belgrano et al., 1995) or currents (Morgan, 1994, 1995; Richards et al., 1995) and the availability of settlement substratum (Bayne, 1965, 1983).

Food quality or quantity were not expected to be determining factors for M.

galloprovincialis larval growth or mortality because this coastal lagoon is considered to

be a very productive system (Sprung, 1994). The biomass of the phytoplankton of the lagoon is usually dominated by small flagellates (von Brockel, personal communication), which is an appropriate food source for bivalve larvae. Moreover, bivalve larvae have morphological and behavioural adaptations that allow them to tap alternative food resources ranging from omnivory to DOM (Williams, 1980; Manahan and Richardson, 1982; Manahan, 1983; Lucas et al., 1986; His et al., 1989; Manahan et al., 1989).

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Fig. 4. Growth lines in M. galloprovincialis larval shell. (a) Right valve, 135395 mm; (b) left valve, 1603120mm.

Salinity and wind velocity did not show major variations. Salinity values were close to typical sea salinity and wind velocities were relatively low. Moreover, the duration of wind was relatively short and the orientation of the wind with respect to the long axis of the embayment was not constant. Thus, this factor did not have a great influence on water exchange between the lagoon and the sea, the main role being played by tides.

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Fig. 5. (a) Change in modal length (derived from length–frequency histogram and growth lines) of cohorts from May to August 1990. C1–C10: cohorts 1 to 10. (b) Typical example sample showing the data and cohort structure.

Besides the losses of larvae to the adjacent ocean, the availability of substrata for settlement may also influence the life history parameters. Despite the high abundance of

´

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Table 1

Growth parameters of the von Bertalanffy, Laird–Gompertz, linear and exponential models fitted to the length-at-age data for Mytilus galloprovincialis larvae (n536; r — correlation coefficient)

Laird–Gompertz von Bertalanffy Linear Exponential

R 0.876; P,0.001 0.877; P,0.001 0.857; P,0.001 0.845; P,0.001

L (0 mm); (*L )` 124.1065.17 215.63624.9* 132.2163.37 135.0763.12

P,0.001 P,0.001 P,0.001 P,0.001

21

K (c mm d ) 0.52560.073 0.03660.018 1.68960.174 0.01060.001

P,0.001 P,0.1 P,0.001 P,0.001

asymptotic for larger larvae, as supported by the best fit yielded by the von Bertalanffy and Laird–Gompertz growth models. Also, mortality caused by predators is very important, especially for smaller larvae (Lebour, 1933; Thorson, 1946; Mileikovsky, 1974; Brewer and Kleppel, 1986; Young and Chia, 1987), and this can result in a higher survival of older larvae, with comparatively smaller growth rates. Also, the growth rates are probably underestimated due to the preferential advection of small larvae with potentially high growth rates, but probably with retention strategies that are not yet developed (Bayne, 1963, 1964; Mileikovsky, 1973).

The selection of an appropriate growth model is generally based on goodness of fit and convenience; however, some were developed on the basis of perceived growth processes. The curvilinear growth models tend to be well suited for the description of marine animal larval stages growth (Bayne, 1976; Cerrato, 1990; Campana and Jones, 1992). This is also evident from the present study. The major advantage of this class of model is that of flexibility, a feature which is required to deal with the S-shaped growth curves that are characteristic of most young stages. The best fit of the Laird–Gompertz curve in the present study can be justified on a biological basis. According to Zweifel and Lasker (1976) the fundamental concept of this model is one of change in animal

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mass with time, being primarily due to self-multiplication of cells and genetically determined limitations on growth parameters.

The maximum growth rate calculated from the Laird–Gompertz equation parameters

21 21

(4.5 day ) is near the lower value of the interval from 4.1 to 11.8 day determined by Sprung (1984) for the daily growth of M. edulis larvae under laboratory conditions, with a temperature of 188C. This difference may be due to the high food availability in the laboratory, which allows faster growth. Also, the eventual presence of a higher number of larger larvae of M. galloprovincialis in the plankton of the Ria Formosa lagoon may be due to an increased planktonic life depending on the few available substrata for settlement.

It can be concluded from this study that advection may be an important factor for abundance, and availability of settlement substratum may be a key factor for growth. In addition, it can also be concluded that, following cohorts of larvae in the plankton, with a sampling of fine temporal resolution, can provide estimates of growth. However, it is not possible to ensure that larvae are collected from a continuous population throughout the entire sampling since fluctuations in growth may have resulted from immigration or emigration processes.

In addition to sampling difficulties, the determination of larval growth using the modal progression analysis of size–frequency distributions is a methodology that is difficult and susceptible to errors. Nevertheless, the use of the fine growth lines present in

Mytilus galloprovincialis larval shell helped with age attribution. Since no laboratory

calibration exists for Mytilus galloprovincialis larvae, we assumed that these were daily, following previous results with other species (Wilbur and Simkiss, 1968; Kennish, 1984). Thus, effort must be made in age assessment, especially with studies under controlled conditions, to validate the periodicity of growth ring deposition in this species.

Further studies on the growth and natural mortality of planktonic larval populations will contribute to a better understanding of the dynamics of benthic populations of

Mytilus galloprovincialis in the area. If adequate availability of substrata for settlement

is implemented, the high availability of mussel larvae in the plankton may constitute an alternative for bivalve production.

Acknowledgements

The authors are indebted to Prof. Martin Sprung for his criticism to the team of the German–Portuguese research project ‘Die Biologie der Ria Formosa’ and to Dr. Ana Barbosa for the phytoplankton information. We are also grateful to Dr. John Nascimento and Prof. Karim Erzini for improving the English.

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Gambar

Fig. 1. Location of sampling station (d). This station was sampled over the period May–August 1990.
Fig. 2. Mwind velocity and chlorophyll. galloprovincialis larval abundance related to environmental parameters: (a) tidal amplitude; (b) a; (c) water temperature and salinity.
Fig. 3. Wind direction registered near the sampling station (Airport — see Fig. 1). Frequency distribution overthe entire study period (4 May–31 August 1990).
Fig. 4. Growth lines in M. galloprovincialis larval shell. (a) Right valve, 135395 mm; (b) left valve,1603120 mm.
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