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Early life history traits of the blenny Auchenionchus crinitus (Teleostei: Labrisomidae) off northern Chile

Published online by Cambridge University Press:  28 September 2018

Mauricio F. Landaeta*
Affiliation:
Laboratorio de Ictioplancton (LABITI), Escuela de Biología Marina, Facultad de Ciencias del Mar y de Recursos Naturales, Universidad de Valparaíso, Viña del Mar, Chile Centro de Observación Marino para Estudios de Riesgo Ambiental (COSTA-R), Universidad de Valparaíso, Viña del Mar, Chile
Valentina Nowajewski
Affiliation:
Laboratorio de Ictioplancton (LABITI), Escuela de Biología Marina, Facultad de Ciencias del Mar y de Recursos Naturales, Universidad de Valparaíso, Viña del Mar, Chile
Lissette D. Paredes
Affiliation:
Instituto de Ciencias Naturales Alexander von Humboldt, Universidad de Antofagasta, Antofagasta, Chile
Claudia A. Bustos
Affiliation:
Laboratorio de Ictioplancton (LABITI), Escuela de Biología Marina, Facultad de Ciencias del Mar y de Recursos Naturales, Universidad de Valparaíso, Viña del Mar, Chile
*
Author for correspondence: Mauricio F. Landaeta, E-mail: [email protected]
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Abstract

The early life history traits of the labrisomid blenny Auchenionchus crinitus (Jenyns, 1842) from subtidal rocky reefs were studied, based on microstructure analysis of sagittae of their pelagic larvae (4.01 mm NL −12.50 mm SL). Ichthyoplankton was collected in shallow (<20 m) nearshore waters off Isla Santa María, Antofagasta, northern Chile every 15 days during austral autumn–winter 2014 (five sampling days). During late May and early June, larval abundance was low (median ± MAD, 39.06 ± 5.08 ind. 100 m−3), increasing significantly during mid-June to early August (110.98 ± 47.66 ind. 100 m−3). Using 354 sagittae, the back-calculated hatch dates indicated the occurrence of three hatching events, two in autumn and one in winter. Hatching occurred mainly during the illuminated phases of the lunar cycle. All three batches had similar estimated larval sizes at hatch (3.2–3.7 mm SL), as well as similar growth rates (0.19–0.22 mm day−1) during the first 30 days of life. During the study period, shallow waters were well mixed, with seawater temperature of 14.73 ± 0.58°C and salinity of 34.84 ± 0.04. This is the first estimation of early life history traits of this cryptobenthic species from rocky reefs of Chile.

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2018 

Introduction

Cryptobenthic fishes have been defined as adult fishes of typically <5 cm that are visually and/or behaviourally cryptic, and maintain a close association with the benthos (Depczynski & Bellwood, Reference Depczynski and Bellwood2003). Nonetheless, there are exceptions, with some species (e.g. the giant goby Gobius cobitis) reaching up to 30 cm (Gibson, Reference Gibson1970). Except for some viviparous benthic species (such as the eelpout Zoarces viviparus), most of them have a bipartite life cycle, with a pelagic larval phase that ends at reef settlement (Leis, Reference Leis and Sale1991), and benthic juvenile and adults. Because of the restricted movement of the latter between reefs, species rely on their pelagic larval duration to disperse and maintain biogeographic ranges as well as connectivity between populations (Riginos & Victor, Reference Riginos and Victor2001; Kohn & Clements, Reference Kohn and Clements2011).

By revealing early life history traits it is possible to understand pre-settlement processes (Bergenius et al., Reference Bergenius, Meekan, Robertson and McCormick2002; Plaza et al., Reference Plaza, Landaeta, Espinoza and Ojeda2013). A powerful tool to reveal early life traits of fishes is the analysis of otolith microstructure (Panella, Reference Panella1971; Campana & Neilson, Reference Campana and Neilson1985). These structures have identifiable banding patterns or rings of daily periodicity that reflect the punctuated nature of growth (Chambers & Miller, Reference Chambers, Miller, Secor, Dean and Campana1995), which has been validated in several cryptobenthic fish species (Mansur et al., Reference Mansur, Catalán, Plaza, Landaeta and Ojeda2013; Carvalho et al., Reference Carvalho, Moreira, Queiroga, Santos and Correia2015). By applying otolith microstructure analysis in larval stages of fish it is possible to estimate population and individual growth rates, individual size at time to hatch, yolk sac resorption and onset of exogenous feeding, mortality rates, or to separate larvae which have grown under different environmental conditions or under different moon phases (Robertson et al., Reference Robertson, Petersen and Brawn1990; Stenevik et al., Reference Stenevik, Fossum, Johannessen and Folkvord1996; Fontes et al., Reference Fontes, Santos, Afonso and Caselle2011; Landaeta et al., Reference Landaeta, López, Suárez-Donoso, Bustos and Balbontín2012; Contreras et al., Reference Contreras, Rodríguez-Valentino, Landaeta, Plaza, Castillo and Alvarado-Niño2017; La Mesa et al., Reference La Mesa, Vera-Duarte and Landaeta2017).

One large (up to 18 cm length) cryptobenthic fish typical of shallow waters of north and central Chile is the labrisomid blenny, Auchenionchus crinitus (Jenyns, 1842). This subtidal species is distributed from Pucusana, Perú (12°28′S 76°48′W) to Viña del Mar, Chile (33°01′S 71°33′W), and is sympatric with two other species of the genus Auchenionchus: A. variolosus and A. microcirrhis (Stephens & Springer, Reference Stephens and Springer1973; Sáez & Pequeño, Reference Sáez and Pequeño2009). Adult labrisomids are carnivorous, predating on crabs, shrimps, isopods and amphipods (Muñoz & Ojeda, Reference Muñoz and Ojeda1997), while larvae of A. variolosus feed mostly on eggs and nauplii of calanoid copepods (Vera-Duarte & Landaeta, Reference Vera-Duarte and Landaeta2016). Daily deposition of microincrements in the sagittae otolith has been validated for A. crinitus (Mansur et al., Reference Mansur, Catalán, Plaza, Landaeta and Ojeda2013). Nonetheless, there is a lack of information about the early life traits of A. crinitus. Therefore, the goal of this study was to analyse the early life history of this labrisomid blenny, during autumn–winter conditions, by using otolith microstructure analysis.

Materials and methods

Study area

The study area is located off northern Chile (Humboldt Current System), at Isla Santa María (ISM) (23°26′S 70°36′W) in Mejillones Peninsula (Figure 1). The location is a sheltered area, with artisanal fishing, spear fishing and kelp harvesting. It is characterized by rocky bottom, barren ground and kelp forests of Lessonia trabeculata and Macrocystis integrifolia. The bathymetry does not exceed 18 m (Uribe et al., Reference Uribe, Ortiz, Macaya and Pacheco2015).

Fig. 1. Location of the study site, Isla Santa Maria (ISM), Mejillones Peninsula, Antofagasta, northern Chile. The location of the meteorological station, at Cerro Moreno airport, is also indicated.

Fieldwork

The daily prevailing wind was available from a Meteorological Station at Cerro Moreno Airport (23°27′S 70°26′W; Figure 1) supervised by the Dirección Meteorológica de Chile. The Ekman transport was estimated to assess the effect of winds on the offshore displacement of surface coastal waters. The equation M E = −τ/f was used, where M E is the Ekman transport (1000 kg m−1 s−1), f is the Coriolis parameter and −τ is the along-shore wind stress at the surface of the water (Pond & Pickard, Reference Pond and Pickard1983). Tau (τ) was estimated using the equation: τ = ρa × Cd × W; where ρa is the air density (1.2 kg m−3), Cd is the drag coefficient (0.0014) and W is the along-shore wind speed (m s−1).

Every 15 days between May (austral-autumn) and August (austral-winter) 2014, five dates (S1–S5) were sampled off ISM (Table 1). Temperature and salinity of the water column were obtained with a CTD (Seabird SBE-19 plus) at the beginning and end of every sampling day from surface to 15 m depth. Ichthyoplankton samples were collected using a Bongo net (60 cm mouth diameter; 300 µm mesh size), equipped with one TKS flow meter (The Tsurumi-Seiki Co., Ltd; Tsurumi-ku, Yokohama, Japan) to quantify the filtered water. The plankton was collected parallel to the coastline, at 1–2 knots during 10–15 min from a depth of 10–18 m to surface (double-oblique tow) during the morning, on board an artisanal boat. Every sampling date, eight collections were made. The samples were fixed with 5% formalin buffered with sodium borate (N = 40). After 24 h, formalin-fixed samples were preserved in 96% ethanol to avoid negative effects on otolith microstructure of fish larvae.

Table 1. Sampling periods, standardized abundance (ind. 100 m−3) and size structure (NL or SL, mm) of larval labrisomid Auchenionchus crinitus from northern Chile during austral autumn–winter 2014

MAD, median absolute deviation; SE, standard error.

Laboratory work

In the laboratory, all larval fish were separated, counted and identified into the lowest possible taxon. Labrisomid blenny larvae, Auchenionchus crinitus, were identified based on characteristic pigments, i.e. presence of a punctuated pigment in the base of the anus and a dendritic melanophore ventrally in the mid-tail, and genetically confirmed. Larval abundance was standardized to individuals (ind.) 100 m−3 using the flowmeter counts. The notochord length (NL), from the tip of the snout to the tip of the notochord in pre-flexion larvae or the standard length (SL), from base of the hypural bones in flexion and post-flexion larvae, was measured (N = 486) to the nearest 0.01 mm under an Olympus SZ-61 stereomicroscope with a Moticam 2500 (5.0 M pixel) video camera connected to a PC with the Moticam Image Plus 2.0 software. The larval measurements were not corrected for shrinkage.

Larval abundance per sampling day was compared using Kruskal–Wallis H test, because data departed from normality (Shapiro–Wilk test, W = 0.81, P < 0.001). Median and MAD (median absolute deviation) were used to describe basic statistics, when data departed from normality.

The left and right sagittal otoliths were removed from 405 well-preserved  larvae (4.01 mm NL–12.50 mm SL; Figure 2). No previous grinding or polishing was necessary for the otolith reading. The otoliths were embedded in epoxy resin on a glass slide. The daily age was estimated by counting the number of otolith primary increments with a Motic BA310 light microscope at 1000× magnification under oil immersion.

Fig. 2. Larva of the labrisomid blenny Auchenionchus crinitus (Jenyns, 1842), 5.5 mm SL, and sagittal otoliths of several specimens. N, nucleus; HM, hatch mark; M, microincrements. Notice the lack of damage on the edges of the sagittae due to fixation in buffered 5% formalin for 24 h.

Following Campana (Reference Campana, Stevenson and Campana1992), three independent counts were performed by the same reader (Valentina Nowajeswki, VN) on both the right and left sagittae (N = 395 pairs). Ages estimated using a subset of sagittae by the main reader (VN) and an experienced reader (Mauricio Landaeta) were not significantly different (Wilcoxon test, P = 0.31). Counts were performed after a prominent hatch mark (HM, Figure 2). The daily periodicity of microincrement deposition in A. crinitus has been previously validated by Mansur et al. (Reference Mansur, Catalán, Plaza, Landaeta and Ojeda2013). Nonetheless, the first mark was not validated as a hatch mark. When the coefficient of variation (CV = standard deviation/mean × 100) of the increment counts among the three readings was <10%, the mode of the three counts was calculated and utilized for the analysis. When the CV was >10%, the otolith reading was discarded (N = 24). Once selection of the values was done, comparison of readings was carried out with a Wilcoxon matched pairs test, testing the null hypothesis that reading of the left sagitta is the same as that of the right sagitta. Because the null hypothesis of the same result in both otoliths cannot be rejected (W = 71.50; P = 0.51), any of the otoliths can be utilized for analyses.

The hatch day composition of all aged larvae was subsequently estimated in a calendar year, and cohorts were identified according to the temporal pattern of hatching. Additionally, back-calculated hatching dates were related to the lunar cycle. For each sampling date, the days since new moon were counted (DNM), and thereby assigned DNM values for 0 to 29 for each date, in which 0 represented the new moon. The DNM values were converted to angles (°) by dividing by 29 (the length, in days, of the lunar cycle) and then multiplying by 360°, so that the data could be analysed using circular statistics. To assess whether the hatching events showed lunar periodicity, the data were analysed with Rayleigh and Rao's spacing tests (Batschelet, Reference Batschelet1981) using Past 3.11 software.

Least-squares simple linear regressions (SL = a + bA + εi) between the microincrement counts (age, A) and larval lengths (NL and SL) were adjusted, separately for each batch identified during autumn–winter 2014. In the model, the slope corresponded to the batch growth rate, and the intercept corresponded to the estimated hatch size. The comparison of the slopes of the regression models was carried out following Zar (Reference Zar2010).

Results

Physical settings

At mesoscale, several upwelling events were detected through the temporal series of wind-derived Ekman transport of autumn–winter 2014 (Figure 3A). Prior to the S1, there was ~10 days of winds favourable for upwelling events. After that, peaks of Ekman transport occurred only for few (<4) days, such as those occurring during 5 July (1774.9 kg m−1 s−1) and 23 July 2014 (2555.9 kg m−1 s−1) (Figure 3A). Moreover, the biological sampling did not match with large events of offshore transport.

Fig. 3. Environmental conditions during the sampling period, austral autumn–winter 2014 off northern Chile. (A) Temporal series of wind-derived Ekman transport; (B) vertical section of water temperature (°C); (C) vertical section of salinity. S1–S5 corresponds to the sampling dates.

During the sampling period, seawater temperature in shallow areas ranged between 13.97 and 16.32°C (mean ± SD, 14.73 ± 0.58°C). The warmest waters occurred during mid-May (Figure 3B), when the greatest vertical gradient was also detected (1.59–2.09°C). During the rest of the study, the water column was well-mixed, with temperature varying from 13.97 to 14.99°C (14.43 ± 0.27°C). Similarly, salinity was conservative, ranging between 34.65–34.95 (34.84 ± 0.04); an intrusion of relatively saltier waters was observed during late June 2014 (Figure 3C). Except for the first sampling day, no clear evidence of upwelling waters was detected in nearshore areas during autumn–winter 2014.

Larval abundance and size structure

During 27 May and 15 June 2014 (austral autumn), larval abundances were 39.06 ± 5.08 ind. 100 m−3 (median ± MAD), with a significant increase during 30 June and 1 August 2014 (110.98 ± 47.66 ind. 100 m−3) (Kruskal–Wallis test, H4,40 = 16.32, P = 0.002, Figure 4, Table 1).

Fig. 4. Temporal variations in the standardized abundance (ind. 100 m−3) of larval labrisomid blenny Auchenionchus crinitus. Different letters indicate significant differences (P < 0.05) among sampling dates.

Larval length varied between 4.01 and 12.50 mm SL (N = 486, median ± MAD, 6.55 ± 1.13 mm SL) (Figure 5, Table 1). Size distribution did not follow a normal distribution (Shapiro–Wilk's test, W = 0.97; P < 0.001, Figure 5). The length distribution showed positive skewness and a leptocurtic distribution with a value greater than would be expected under the normal distribution on 15 June 2014 (Table 1); furthermore, the size distribution of collected larvae on other sampling days showed low skewness; some days had negative kurtosis values that would suggest an almost uniform distribution (Table 1).

Fig. 5. Histogram of notochord or standard length (NL or SL, mm) of larval labrisomid blenny Auchenionchus crinitus collected during the whole studied period. Grey dotted line corresponds to the expected normal distribution.

Back-calculated hatch dates

The back-calculated hatch dates indicate the presence of three cohorts during the study period, two from autumn (cohort 1 from 6 May to 24 May; cohort 2 from 27 May to 19 June) and one from winter (cohort 3 from 20 June to 18 July) (Figure 6A). The first two main hatching events occurred during neap tides, and the third one was spread over most of the lunar cycle. Hatching was not homogeneous throughout the lunar cycle (Rayleigh test, R = 0.37, P < 0.001; Rao's spacing test, U = 330.4, P < 0.001) (Figure 6B), and centred during full moon (circular mean = day 13.09, 95% confidence interval: 12.02–14.18 day of the lunar cycle).

Fig. 6. Back-calculated hatch days of labrisomid blenny Auchenionchus crinitus during autumn–winter 2014 off northern Chile. (A) Hatch-days on an annual basis, (B) hatch-days on a lunar basis.

Size at hatch and larval age and growth by batch

For all three batches, the estimated age of larval A. crinitus varied between 3 and 30 days old. Estimated size at hatch varied from 3.23 ± 0.16 mm NL during May to 3.70 ± 0.35 mm NL during late July. Batch 1 experienced a mean growth rate of 0.22 ± 0.01 mm day−1, while larvae hatched during early June (batch 2) and late July (batch 3) grew at 0.20 ± 0.01 mm day−1 and 0.19 ± 0.02 mm day−1, respectively (Figure 7). Estimated larval growth rates were similar among batches (homogeneity of slope test, F = 0.85, P = 0.43).

Fig. 7. Growth rate models for all three batches of larval Auchenionchus crinitus collected during the study period. Black diamonds, batch 1; white circles, batch 2; grey triangles, batch 3.

Discussion

Microstructure analysis of sagittal otoliths of larval labrisomid blenny Auchenionchus crinitus allows inferring the hatching of three batches during autumn–winter 2014 in nearshore waters off Isla Santa María, Antofagasta, northern Chile. Back-calculated hatch dates occurred throughout the lunar cycle, except during the new moon. This indicates that there is no timing periodicity with the moon, and it may be related to the adult timing of the reproductive events in labrisomid fish (Gibran et al., Reference Gibran, Santos, dos Santos and Sabino2004).

Larval A. crinitus increased in abundance from autumn to winter. During winter, a relatively large concentration of Chl-a in the inshore areas has been described (Morales et al., Reference Morales, Blanco, Braun, Reyes and Silva1996), supporting a large abundance of copepods (Hidalgo et al., Reference Hidalgo, Escribano, Vergara, Jorquera, Donoso and Mendoza2010), the main prey item of labrisomid larval fishes (Vera-Duarte & Landaeta, Reference Vera-Duarte and Landaeta2016).

Seawater hydrographic features were kept relatively similar during autumn and winter, as well as the estimated size-at-hatch and growth rates of larval A. crinitus. For cryptobenthic fish species, larval growth rates seem to vary at larger temporal scales, such as in stargazers (family Dactyloscopidae, Rodríguez-Valentino et al., Reference Rodríguez-Valentino, Landaeta, Castillo-Hidalgo, Bustos, Plaza and Ojeda2015; Castillo-Hidalgo et al., Reference Castillo-Hidalgo, Plaza, Díaz-Astudillo and Landaeta2018). The lack of seasonality in the early life history traits of A. crinitus may be linked to the environmental stability of the water column structure.

Growth rates estimated for larval A. crinitus were similar to those described for other cryptobenthic fish larvae (clingfishes, Contreras et al., Reference Contreras, Landaeta, Plaza, Ojeda and Bustos2013; triplefin, Palacios-Fuentes et al., Reference Palacios-Fuentes, Landaeta, Jahnsen-Guzmán, Plaza and Ojeda2014; sand stargazer, Rodríguez-Valentino et al., Reference Rodríguez-Valentino, Landaeta, Castillo-Hidalgo, Bustos, Plaza and Ojeda2015) and adults (e.g. gobiids Eviota spp., 0.20–0.25 mm day−1, Depczynski & Bellwood, Reference Depczynski and Bellwood2006). Instead, mesopelagic larval species grew slower (0.05–0.06 mm day−1) in shallow waters of northern Chile (Landaeta et al., Reference Landaeta, Contreras, Bustos and Muñoz2015), while epipelagic species, such as anchovy Engraulis ringens, grow faster (0.50–0.85 mm day−1) during their early life stages in the same period (May–June, Contreras et al., Reference Contreras, Rodríguez-Valentino, Landaeta, Plaza, Castillo and Alvarado-Niño2017). This suggests that growth patterns, which may be affected by oceanographic conditions, are species-specific in their responses, considering pelagic vs benthic adults. In species with benthic adults, larval growth rates are remarkably similar, suggesting that the life history strategy explains changes in growth rate.

Larval A. crinitus collected with Bongo nets in the water column varied between 3 and 30 days old. According to otolith microstructure analysis of young-of-the-year collected in tidal pools, the pelagic larval duration (PLD) for the species is 73–75 days (Mansur et al., Reference Mansur, Plaza, Landaeta and Ojeda2014). It is plausible that after the first month of life, postlarvae inhabit near-bottom, subtidal environments, entering next to the tide rock pools.

Acknowledgements

We appreciate the field and lab support of Dra. Gabriela Muñoz (Universidad de Valparaíso) and Dra. María T. González (Universidad de Antofagasta). Comments of two anonymous reviewers improved an early version of the manuscript.

Financial support

This research was partially funded by Comisión Nacional de Investigación Científica y Tecnológica (CONICYT) through projects Fondecyt 1120868 and Fondecyt 1150296.

References

Batschelet, E (1981) Circular Statistics in Biology. New York, NY: Academic Press.Google Scholar
Bergenius, MA, Meekan, MG, Robertson, RD and McCormick, MI (2002) Larval growth predicts the recruitment success of a coral reef fish. Oecologia 131, 521525.Google Scholar
Campana, SE (1992) Measurement and interpretation of the microstructure of fish otoliths. In Stevenson, DK and Campana, SE (eds), Otolith Microstructure and Analysis, Vol. 117. Ottawa: Canadian Special Publication in Fisheries and Aquatic Sciences, pp. 5971.Google Scholar
Campana, SE and Neilson, JD (1985) Microstructure of fish otoliths. Canadian Journal of Fisheries and Aquatic Sciences 42, 10141032.Google Scholar
Carvalho, MG, Moreira, C, Queiroga, H, Santos, PT and Correia, AT (2015) Ontogenetic development of the sagittal otoliths of Lipophrys pholis (Blenniidae) during the embryonic, larval and settlement stages. Ichthyological Research 62, 351356.Google Scholar
Castillo-Hidalgo, G, Plaza, G, Díaz-Astudillo, M and Landaeta, MF (2018) Seasonal variations in the early life traits of Sindoscopus australis (Blennioidei: Dactyloscopidae): hatching patterns, larval growth and bilateral asymmetry of otoliths. Journal of the Marine Biological Association of the United Kingdom 98, 14771485. doi: 10.1017/S0025315417000790.Google Scholar
Chambers, RC and Miller, TJ (1995) Evaluating fish growth by means of otolith increment analysis: special properties of individual-level longitudinal data. In Secor, DH, Dean, JM and Campana, E (eds), Recent Developments in Otolith Research. Columbia, SC: University of South Carolina Press, pp. 155175.Google Scholar
Contreras, JE, Landaeta, MF, Plaza, G, Ojeda, FP and Bustos, CA (2013) The contrasting hatching patterns and larval growth of two sympatric clingfishes inferred by otolith microstructure analysis. Marine and Freshwater Research 64, 157167.Google Scholar
Contreras, JE, Rodríguez-Valentino, C, Landaeta, MF, Plaza, G, Castillo, MI and Alvarado-Niño, M (2017) Growth and mortality of larval anchoveta Engraulis ringens, in northern Chile during winter and their relationship with coastal hydrographic conditions. Fisheries Oceanography 26, 603614.Google Scholar
Depczynski, M and Bellwood, DR (2003) The role of cryptobenthic reef fishes in coral reef trophodynamics. Marine Ecology Progress Series 256, 183191.Google Scholar
Depczynski, M and Bellwood, DR (2006) Extremes, plasticity, and invariance in vertebrate life history traits: insights from coral reef fishes. Ecology 87, 31193127.Google Scholar
Fontes, J, Santos, RS, Afonso, P and Caselle, JE (2011) Larval growth, size, stage duration and recruitment success of a temperate reef fish. Journal of Sea Research 65, 17.Google Scholar
Gibran, FZ, Santos, FB, dos Santos, HF and Sabino, J (2004) Courtship behavior and spawning of the hairy blenny Labrisomus nuchipinnis (Labrisomidae) in southeastern Brazil. Neotropical Ichthyology 2, 163166.Google Scholar
Gibson, RN (1970) Observations on the biology of the giant goby Gobius cobitis Pallas. Journal of Fish Biology 2, 281288.Google Scholar
Hidalgo, P, Escribano, R, Vergara, O, Jorquera, E, Donoso, K and Mendoza, P (2010) Patterns of copepod diversity in the Chilean coastal upwelling system. Deep Sea Research II 57, 20892097.Google Scholar
Kohn, YY and Clements, KD (2011) Pelagic larval duration and population connectivity in New Zealand triplefin fishes (Tripterygiidae). Environmental Biology of Fishes 91, 275286.Google Scholar
La Mesa, M, Vera-Duarte, J and Landaeta, MF (2017) Early life history traits of Harpagifer antarcticus (Harpagiferidae, Notothenioidei) from the South Shetland Islands during austral summer. Polar Biology 40, 16991705.Google Scholar
Landaeta, MF, López, G, Suárez-Donoso, N, Bustos, CA and Balbontín, F (2012) Larval fish distribution, growth and feeding in Patagonian fjords: potential effects of freshwater discharge. Environmental Biology of Fishes 93, 7387.Google Scholar
Landaeta, MF, Contreras, JE, Bustos, CA and Muñoz, G (2015) Larval growth of two species of lanternfish at nearshore waters from an upwelling zone based on otolith microstructure analysis. Journal of Applied Ichthyology 31, 106113.Google Scholar
Leis, JM (1991) The pelagic stage of reef fishes. In Sale, PF (ed.), The Ecology of Fishes on Coral Reefs. San Diego, CA: Academic Press, pp. 183230.Google Scholar
Mansur, L, Catalán, D, Plaza, G, Landaeta, MF and Ojeda, FP (2013) Validations of the daily periodicity of increment deposition in rocky intertidal fish otoliths of the south-eastern Pacific Ocean. Revista de Biología Marina y Oceanografía 48, 629633.Google Scholar
Mansur, L, Plaza, G, Landaeta, MF and Ojeda, FP (2014) Planktonic duration in fourteen species of intertidal rocky fishes from the south-eastern Pacific Ocean. Marine and Freshwater Research 65, 901909.Google Scholar
Morales, CE, Blanco, JL, Braun, M, Reyes, H and Silva, N (1996) Chlorophyll-a distribution and associated oceanographic conditions in the upwelling region off northern Chile during the winter and spring 1993. Deep Sea Research I 43, 267289.Google Scholar
Muñoz, AA and Ojeda, FP (1997) Feeding guild structure of a rocky intertidal fish assemblage in central Chile. Environmental Biology of Fishes 49, 471479.Google Scholar
Palacios-Fuentes, P, Landaeta, MF, Jahnsen-Guzmán, N, Plaza, G and Ojeda, FP (2014) Hatching patterns and larval growth of a triplefin from central Chile inferred by otolith microstructure analysis. Aquatic Ecology 48, 259266.Google Scholar
Panella, G (1971) Fish otoliths: daily growth layers and periodical patterns. Science 173, 11241127.Google Scholar
Plaza, G, Landaeta, MF, Espinoza, CV and Ojeda, FP (2013) Daily growth patterns of six species of young-of-the-year of Chilean intertidal fishes. Journal of the Marine Biological Association of the United Kingdom 93, 389395.Google Scholar
Pond, S and Pickard, GL (1983) Introductory Dynamical Oceanography, 2nd Edn. Oxford: Pergamon Press.Google Scholar
Riginos, C and Victor, BC (2001) Larval spatial distributions and other early life-history characteristics predict genetic differentiation in eastern Pacific blennioid fishes. Proceedings of the Royal Society of London B 268, 19311936.Google Scholar
Robertson, DR, Petersen, CW and Brawn, JD (1990) Lunar reproductive cycles of benthic-brooding reef fishes: reflections of larval biology or adult biology? Ecological Monographs 60, 311329.Google Scholar
Rodríguez-Valentino, C, Landaeta, MF, Castillo-Hidalgo, G, Bustos, CA, Plaza, G and Ojeda, FP (2015) Interannual variations in the hatching pattern, larval growth and otolith size of a sand-dwelling fish from central Chile. Helgoland Marine Research 69, 438.Google Scholar
Sáez, S and Pequeño, G (2009) Updated, illustrated and annotated taxonomic key for fishes of the family Labrisomidae from Chile (Perciformes, Blennioidei). Gayana 73, 130140.Google Scholar
Stenevik, EK, Fossum, P, Johannessen, A and Folkvord, A (1996) Identification of Norwegian spring spawning herring (Clupea harengus L.) larvae from spawning grounds off western Norway applying otolith microstructure analysis. Sarsia 80, 285292.Google Scholar
Stephens, JS Jr and Springer, VG (1973) Clinid fishes of Chile and Peru, with description of a new species, Myxodes ornatus, from Chile. Smithsonian Contributions to Science 159, 124.Google Scholar
Uribe, RA, Ortiz, M, Macaya, EC and Pacheco, AS (2015) Successional patterns of hard-bottom microbenthic communities at kelps bed (Lessonia trabeculata) and barren ground sublittoral systems. Journal of Experimental Marine Biology and Ecology 472, 180188.Google Scholar
Vera-Duarte, J and Landaeta, MF (2016) Diet of labrisomid blenny Auchenionchus variolosus (Valenciennes, 1836) (Labrisomidae) during its larval development off central Chile (2012–2013). Journal of Applied Ichthyology 32, 4654.Google Scholar
Zar, JH (2010) Biostatistical Analysis, 5th Edn. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Figure 0

Fig. 1. Location of the study site, Isla Santa Maria (ISM), Mejillones Peninsula, Antofagasta, northern Chile. The location of the meteorological station, at Cerro Moreno airport, is also indicated.

Figure 1

Table 1. Sampling periods, standardized abundance (ind. 100 m−3) and size structure (NL or SL, mm) of larval labrisomid Auchenionchus crinitus from northern Chile during austral autumn–winter 2014

Figure 2

Fig. 2. Larva of the labrisomid blenny Auchenionchus crinitus (Jenyns, 1842), 5.5 mm SL, and sagittal otoliths of several specimens. N, nucleus; HM, hatch mark; M, microincrements. Notice the lack of damage on the edges of the sagittae due to fixation in buffered 5% formalin for 24 h.

Figure 3

Fig. 3. Environmental conditions during the sampling period, austral autumn–winter 2014 off northern Chile. (A) Temporal series of wind-derived Ekman transport; (B) vertical section of water temperature (°C); (C) vertical section of salinity. S1–S5 corresponds to the sampling dates.

Figure 4

Fig. 4. Temporal variations in the standardized abundance (ind. 100 m−3) of larval labrisomid blenny Auchenionchus crinitus. Different letters indicate significant differences (P < 0.05) among sampling dates.

Figure 5

Fig. 5. Histogram of notochord or standard length (NL or SL, mm) of larval labrisomid blenny Auchenionchus crinitus collected during the whole studied period. Grey dotted line corresponds to the expected normal distribution.

Figure 6

Fig. 6. Back-calculated hatch days of labrisomid blenny Auchenionchus crinitus during autumn–winter 2014 off northern Chile. (A) Hatch-days on an annual basis, (B) hatch-days on a lunar basis.

Figure 7

Fig. 7. Growth rate models for all three batches of larval Auchenionchus crinitus collected during the study period. Black diamonds, batch 1; white circles, batch 2; grey triangles, batch 3.