Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-07T23:27:35.439Z Has data issue: false hasContentIssue false

Reproductive patterns of mussel Perumytilus purpuratus (Bivalvia: Mytilidae), along the Chilean coast: effects caused by climate change?

Published online by Cambridge University Press:  26 September 2016

Pablo A. Oyarzún
Affiliation:
Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile PhD programme in Marine Biology, Universidad Austral de Chile (UACh), Chile
Jorge E. Toro*
Affiliation:
Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
José Garcés-Vargas
Affiliation:
Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile Centro FONDAP de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes (IDEAL)
Claudia Alvarado
Affiliation:
Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
Ricardo Guiñez
Affiliation:
Instituto de Ciencias Naturales Alexander von Humboldt, Facultad de Ciencias del Mar y de Recursos Biológicos, Universidad de Antofagasta, P.O. Box 170, Antofagasta, Chile
Roberto Jaramillo
Affiliation:
Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
Carolina Briones
Affiliation:
Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
Bernardita Campos
Affiliation:
Escuela de Biología Marina, Facultad de Ciencias del Mar y de Recursos Naturales, Universidad de Valparaíso, Chile
*
Correspondence should be addressed to: J.E. Toro, Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Reproductive cycles were studied in seven natural populations of the intertidal bivalve Perumytilus purpuratus, distributed in a latitudinal gradient of ~2400 km along the Chilean Pacific coast (20–40°S). The results, both qualitative (gametogenic stages) and quantitative (GSI and GVF), over a period of 24 months, showed that these populations presented asynchrony in the reproductive cycle. Semi-annual cycles in Iquique (20°S), Antofagasta (23°S) and Montemar (32°S), and annual cycles in Caleta Bolfin (23°S), Taltal (25°S), Tumbes (36°S) and Pucatrihue (40°S) (2010–2012) were found. The results indicate that latitude does not have an effect on the development stage, but it does on the spawning date. However, there is a relationship between the reproductive cycles and temperature fluctuations. In addition, there was a significant negative linear correlation between gonadosomatic index and sea surface temperature in the populations studied. The decrease in temperature reduces the rate of development stages and, therefore, increases the reproductive cycles from semi-annual to annual, as evidenced in bivalve samples from Taltal, along a semi-decadal period (2007–2012). From these results, we discuss the likely biological and ecosystem consequences in connection to the effects of climate change in the South Pacific.

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2016 

INTRODUCTION

In marine invertebrates, the reproductive cycle is defined as the set of physiological events that occur in the gonad (i.e. each gonad development stage), at intervals of cyclic time (Giese & Pierse, Reference Giese, Pearse, Giese and Pierse1977). However, in marine bivalves gametogenesis (the process of development and maturation of sex cells into gametes) is regulated by exogenous factors, and among the most studied are temperature and food availability in the water. These two variables, together with endogenous factors, such as the genetic and hormonal load, determine the reproductive cycle of an organism, resulting in a pattern of reproduction for a population (Seed, Reference Seed and Bayne1976; Giese & Pearse, Reference Giese, Pearse, Giese and Pierse1977; MacDonald & Thompson, Reference MacDonald and Thompson1986; Jaramillo & Navarro, Reference Jaramillo and Navarro1995; Thorarinsdóttir & Gunnarsson, Reference Thorarinsdóttir and Gunnarsson2003). The reproductive cycles in marine bivalves may reflect a latitudinal pattern because physical factors change with latitude (i.e. temperature) (Giese, Reference Giese1959), therefore affecting reproduction and recruitment of intertidal animals (Broitman et al., Reference Broitman, Navarrete, Smith and Gaines2001; Connolly et al., Reference Connolly, Menge and Roughgarden2001). It is for this reason that the reproductive season can be annual, semi-annual or continuous, according to the ripe/spawning stages. According to this, in both hemispheres, species living at medium (30–60°) and high (>60°) latitudes show annual reproductive cycles with just one spawning occurring mainly in spring–summer, while species living at low latitudes and close to the equator (<30°) have several spawning periods, which can occur on a semi-annual or continuous periodicity (Rand, Reference Rand1973; Clarke, Reference Clarke1987; Jaramillo & Navarro, Reference Jaramillo and Navarro1995). However, more recent studies indicate the presence of reproductive asynchrony in bivalves along their distribution range (Uribe et al., Reference Uribe, Oliva, Aguilar, Yamashiro and Riascos2012), therefore the latitudinal effect on gametogenesis still is not very clear.

Along the Chilean coast several publications have described biogeographic provinces and ecoregions (Strub et al., Reference Strub, Mesías, Montecino, Rutllant and Salinas1998; Spalding et al., Reference Spalding, Fox, Allen, Davidson, Ferdaña, Finlayson, Halpen, Jorge, Lombana, Lourie, Martin, Mcmanus, Molnar, Recchia and Robertson2007; Cardenas et al., Reference Cardenas, Castilla and Viard2009). These studies take into consideration the dominant biogeographic forcing agents defining the ecoregions, which vary from one location to another but include isolation, upwelling, nutrient inputs, freshwater influx, temperature regimes, exposure, sediments, currents and bathymetric or coastal complexity (Spalding et al., Reference Spalding, Fox, Allen, Davidson, Ferdaña, Finlayson, Halpen, Jorge, Lombana, Lourie, Martin, Mcmanus, Molnar, Recchia and Robertson2007). According to these studies our sampled locations for P. purpuratus fall within the Central Chile and Araucanian ecoregions and within the Peruvian Province (20–30oS) and the Intermediate Area (30–40oS).

The lack of both time series and large sampling distribution makes it more difficult to understand the effects of large environmental change (i.e. climate change) on the reproduction of marine invertebrates. Temperature is one of the variables that have been changing in recent decades in the aquatic environment (Levitus et al., Reference Levitus, Antonov, Boyer and Stephens2000; IPCC, 2013). In this context, there are several phenological and biogeographic studies on marine life (Edwards & Richardson, Reference Edwards and Richardson2004; Parmesan, Reference Parmesan2007; Mueter & Litzow, Reference Mueter and Litzow2008; Cardenas et al., Reference Cardenas, Castilla and Viard2009), but only few studies that emphasize the effects on gametogenesis. Although there are experimental studies on the effect of thermal increase on gametogenesis, recent data indicate that in the southern Pacific Ocean, water temperature has been decreasing considerably (Baumann & Doherty, Reference Baumann and Doherty2013), probably caused by an intensification in coastal upwelling as a result of increasing wind-stress linked to global climate change (Bakun, Reference Bakun1990; Bakun et al., Reference Bakun, Field, Redondo-Rodriguez and Weeks2010; Sydeman et al., Reference Sydeman, García-Reyes, Schoeman, Rykaczewski, Thompson, Black and Bograd2014). Garreaud & Falvey (Reference Garreaud and Falvey2009) indicated that the largest southerly wind increase occurs between 37–41°S during spring and summer, which expands the favourable upwelling conditions in that region. This has also been suggested by England et al. (Reference England, McGregor, Spence, Meehl, Timmermann, Cai, Sen Gupta, McPhaden, Purich and Santoso2014), therefore giving the possibility to lead to a regional cooling even as the world as a whole continues to warm up. In this sense, the real effect of global climate change on reproductive patterns of molluscs is still unknown in those areas where the water temperature has decreased. This phenomenon could create a reproductive vulnerability for the species exposed to these water temperature changes, since the SST is the most important abiotic factor influencing marine life (Clarke, Reference Clarke2003; Lawrence & Soame, Reference Lawrence and Soame2004).

The species Perumytilus purpuratus inhabits the intertidal rocky shore from South-east Pacific (Ecuador, Perú, Chile) rounding the southern in the South-west Atlantic (Cape Horn, Chile) until La Lobería, Argentina (41°8′S 63°10′W) (Zagal & Hermosilla, Reference Zagal and Hermosilla2001; Prado & Castilla, Reference Prado and Castilla2006). In Chile it is a key species forming extensive and dense three-dimensional matrices where up to 92 species of invertebrates inhabit (Guiñez, Reference Guiñez1996; Prado & Castilla, Reference Prado and Castilla2006; Guiñez et al., Reference Guiñez, Pita, Pérez, Briones, Navarrete, Toro and Presa2016). Therefore, this is an excellent model species to test the effect of latitude and temperature on its reproductive pattern.

Perumytilus purpuratus is a gonochoric species (separate sexes) with external fertilization. Sexual maturity is achieved at about 8–10 mm of total length (Lozada & Reyes, Reference Lozada and Reyes1981). The reproductive cycle is annual in El Tabo, Chile (33°27′S). The maturation period begins in April and ends in August (winter) (Lozada & Reyes, Reference Lozada and Reyes1981), but it is semi-annual (several spawning periods) during January and July in Taltal (25°23′S) and Huasco (28°27′S), Chile (Oyarzún et al., Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010). However, it is not understood whether these variations in the bivalve reproductive season have a latitudinal pattern or whether it is a species-specific population trait.

The objective of this study was to determine the reproductive cycle using qualitative and quantitative methods in seven populations of P. purpuratus distributed in a latitudinal gradient of ~2400 km of Chilean coastline, over a period of 2 years, in order to estimate the effect that latitude and temperature have had on gametogenesis, using information on SST data for the last decade. Such information allows us to understand and predict the consequences of temperature changes in the sea on the reproduction of this important intertidal mussel species of the South American coast.

MATERIALS AND METHODS

Sampling site

Perumytilus purpuratus adults (20–37 mm) were randomly collected from seven intertidal rocky coastal areas in Chile: Iquique (20°14′S), Antofagasta (23°42′S), Caleta Bolfin (23°51′S), Taltal (25°23′S), Montemar (32°57′S), Tumbes (36°38′S) and Pucatrihue (40°32′S) (Figure 1, Table 1). Sampling of reproductively active individuals in each place was conducted on a monthly basis from September 2010 to October 2012, seeking to do it at the same time. Individuals were kept alive in seawater at low temperature during their transfer to the Histology Laboratory of the Instituto de Ciencias Marinas y Limnológicas (UACh).

Fig. 1. Reproductive cycle (set of gonad development stages) of Perumytilus purpuratus from the coast of Chile based on samples collected monthly from September 2010 to October 2012. The reproductive cycles at Huasco (from Oyarzún et al., Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010) and Tabo (based on data from Lozada & Reyes, Reference Lozada and Reyes1981) are also shown. Methodology, GSI, gonadosomatic index; GVF, Gamete Volume Fraction; Histology, histological observations.

Table 1. Summary of gametogenic cycles and spawning periods of intertidal bivalve P. purpuratus in the analysed populations (i) Villalón (Reference Villalón1965), (ii) Oyarzún et al. (Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010), (iii) Lozada (Reference Lozada1964), Lozada & Reyes (Reference Lozada and Reyes1981).

Gonad dissection

To excise mussel meat from its shell, a knife was carefully run between the mantle and the lip of each valve, detaching the mantle from the shell. The byssal threads were completely removed from the byssal gland to avoid later difficulties in tissue sectioning. A piece of the middle region of the gonad of each specimen was extracted using a scalpel and then fixed in 5% formalin during 10 days and subsequently transferred to 50% ethanol. The cross-section was obtained such that the dorsal-ventral aspect passes through the digestive gland and gills at an angle across the body and such that ventral edge of the cross-section was slightly towards the posterior-ventral margin (Kim et al., Reference Kim, Ashton-Alcox and Powell2006). Each cross-section was placed in a tissue cassette and processed immediately after dissection.

Histological procedure

The samples were dehydrated using a series of ascending alcohols (50, 70, 80, 90, 95 and 100°). They were then cleared in butanol and infiltrated and embedded in paraffin, and cuts were sectioned at 7 μm thick, transverse to the axis of the gonad lobe. Sections were stained with haematoxylin & eosin using the progressive method (Humason, Reference Humason1962; Howard & Smith, Reference Howard and Smith1983).

Classification of gonad development stages

The description of the reproductive cycle represented the division of gametogenesis of P. purpuratus at different gonad development stages (GDS), in a qualitative way. The methodology was based on microscopic observations of histological sections, using the criteria and categories of Oyarzún et al. (Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010). Each gonad (female and male) was assigned to one of the following four GDS: (1) development, (2) mature, (3) spawning and (4) spent. It showed the dominant GDS in each month, which was obtained by calculating the greater percentage in each month.

Analysis of gamete volume fraction

Whereas the gonad of the mytilids is homogeneous in relation to the distribution of germ cells during the reproductive season (Lowe et al., Reference Lowe, Moore and Bayne1982; Oyarzún et al., Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010, Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2011), the gonad fraction used in reproduction was quantitatively determined through stereometry (Weibel & Gomez, Reference Weibel and Gomez1962; Weibel, Reference Weibel1969). In order to estimate the gamete volume fraction (GVF), a representative histological section from each of the sampled females was chosen. A full sequence of the gonad was captured through digital photography. Then the number of oocytes was counted in each of the different stages of development, and also the attached gonad tissue using CPCe 4.1 software. The total hit points in each category was expressed as a percentage, thus obtaining the percentage of coverage for each type of oocyte. The criteria used to identify the oocyte stages (previtellogenic, vitellogenic and mature) and gonad tissues were based on Oyarzún et al. (Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010).

Analysis of gonadosomatic index

In order to estimate the gonadosomatic index (GSI), between 40 to 50 individuals were sampled every month in each locality. Each specimen had the soft tissue of the valve removed, determining sex and complete fresh weight (CFW) (±0.01 g). Both gonad lobes were dissected and weighted (±0.01 g) to determine gonad fresh weight (GFW). In these mussels gonad tissue is fully differentiated from the soma tissue.

The GSI was obtained as $\displaystyle{{{\rm GFW}} \over {{\rm CFW} - {\rm GFW}}} \times 100$ .

It is worth considering that in some molluscs GSI is not a good indicator of spawning or other gametogenic stages. However, Oyarzún et al. (Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010) showed that for this species, the GSI is a reliable indicator of maturity, mainly because of the low water content of soft tissues. According to their results, the GSI of males and females did not differ significantly.

Sea surface temperature (SST)

Daily sea surface temperature data were taken from the NOAA AVHRR OISST dataset (NOAA optimum interpolation 1/4 degree daily sea surface temperature analysis; http://www.ncdc.noaa.gov/sst/) for two periods: January 2003 to December 2012 (only in the locality of Taltal) and September 2010 to September 2012 (all localities). This product uses Advanced Very High Resolution Radiometer (AVHRR) infrared satellite and in situ SST from ships and buoys. The data include a large-scale adjustment of satellite biases with respect to the in situ SST using an empirical orthogonal teleconnection algorithm. SST data were extracted from the grid square closest to the sampling stations.

In order to know if there is a trend in SST we applied the following procedure: the daily SST from Taltal station was converted to monthly average; then a time series of the SST anomalies was also established. Finally, the time series of SST anomalies was adjusted with a linear trend between 2003 and 2012.

Statistical analysis

Results of the gonadosomatic index (GSI) and gamete volume fraction (GVF) were expressed as the mean ± SE. To evaluate the GSI as a gametic indicator and its relation to the variable surface temperature, the Pearson correlation coefficient was estimated between the variables (a) percentage of mature oocytes and gonadosomatic index (GSI) and (b) gonadosomatic index with SST (Sokal & Rohlf, Reference Sokal and Rohlf1995). The relationship between the number of spawnings per year and the latitude of each population was analysed using a simple linear regression model. Differences of GSI with respect to the time (months) for each location were performed by one-way ANOVA and a Tukey post hoc analysis (α = 0.05). The normality presumptions of the data were tested using the Kolmogorov–Smirnov test corrected by Lilliefors; and the Levene test was used for the presumptions of variance homogeneity. We used the Box–Cox method to normalize the data (GSI) which were not a normal distribution (Box & Cox, Reference Box and Cox1964). All the analyses were carried out using the statistical program STATISTICA v.7.0 (Stat Soft, Inc).

A test for reproductive status (GSI) by geographic distance was carried out. Geographic distances were determined in kilometres from the latitudinal and longitudinal coordinates using Haversine geodesic distances (Sinnott, Reference Sinnott1984). The resemblance matrix (reproductive) was generated using the Manhattan distance based on monthly averages GSI. Correlation between matrices of pairwise geographic and reproductive status was estimated using Mantel tests as implemented in R (Package vegan) (R Development Core Team, 2008).

RESULTS

Gonad development stages by locality

The populations that showed semi-annual cycles (Iquique, Antofagasta and Montemar) reported two cycles for a period of about 1 year (Figure 1; Table 1). These populations were characterized by a short gametogenic development (1–3 months), mainly during autumn/winter (Iquique = April–June and October; Antofagasta = January and June; Montemar = June–August and December). This type of reproductive pattern was characterized by brief or no recess gametogenic stages.

The populations that showed annual cycles (Caleta Bolfin, Taltal, Tumbes and Pucatrihue) had a longer gonad development (up to 7 months) during summer, autumn and part of winter, and long spawning events between late winter and spring (Caleta Bolfin = April–May; Taltal = January–June; Tumbes = October–December; Pucatrihue = February–July (Figure 1; Table 1).

Variations in GVF

Between the 2 years analysed, no differences were observed in the gametogenesis of P. purpuratus (Figure 2). Previtellogenic, vitellogenic and mature oocytes were found in all samples. However, the mature oocytes were dominant (between 15–82%). The percentage of mature oocytes had sharp decreases – spawning (e.g. Iquique = July–August 2011; Taltal = July–September 2011; Montemar = September–November 2011; Tumbes = January–February 2011; and Pucatrihue = September–October 2011; Figure 2).

Fig. 2. Gamete Volume Fraction (GVF) of previtellogenic, vitellogenic and mature oocytes in females of the bivalve Perumytilus purpuratus in populations of (A) Iquique, (B) Taltal, (C) Montemar, (D) Tumbes and (E) Pucatrihue (see Figure 1), between September 2010 and September 2012. Greyshading indicates winter season.

The fluctuations between previtellogenic and vitellogenic oocytes were similar. When the number of mature oocytes decreased, the previtellogenic oocytes were increased (e.g. Iquique = August 2011; Taltal = September 2011; Montemar = November 2011; Tumbes = July 2011; and Pucatrihue = January 2012; Figure 2).

The atresic oocytes (lysis of cytoplasmic structure and membranes in mature oocytes) were observed in mussels from Tumbes during the summer of 2012 (March–April). This phenomenon matches a sharp decrease in the number of mature oocytes in the female gonad (Figure 2D).

Variations in GSI

The percentage of gonad relative to total tissue (GSI) ranged between 4–24% (Figure 3). Correlation between the variables percentage of mature oocytes and gonadosomatic index was positive and significant (r = 0.72, N = 1025, P < 0.05). Thus, when the gonad somatic index had a sharp decrease (about 5%), it was considered that a gamete emission had occurred (spawning). In Figure 3 this is represented by a dashed line.

Fig. 3. Gonadosomatic index (mean ± SE) for Perumytilus purpuratus in the locations of (A) Iquique, (B) Antofagasta, (C) Caleta Bolfin, (D) Taltal, (E) Montemar, (F) Tumbes and (G) Pucatrihue (see Figure 1), between September 2010 and November 2012. Dotted line corresponds to the period of spawning (both sexes) corroborated against histological cuts. The vertical lines mark the annual period.

The two-way ANOVA showed significant differences for the gonad index among localities (ANOVA; F[6,11] = 145.29, P < 0.05) and months (ANOVA; F[6,11] = 91.26, P < 0.05). The post hoc test showed that during winter months (southern hemisphere) all locations had significantly higher values (May–June–July) with the exception of mussels from Tumbes, where this occurred during January (summer). Therefore, in all localities spawning was during the winter months, except for individuals from Montemar, which had important spawning in autumn (Figure 3).

Moreover, nearby populations have different reproductive conditions. Antofagasta and Caleta Bolfin (distance ~30 km) showed significant differences in GSI values (ANOVA; F[11,1] = 68.65, P < 0.05), mainly between October and February. Even though both populations showed a decrease in gonadal tissue in September (spawning), there was no spawning during summer in Caleta Bolfin, as was found in mussels from Antofagasta (Figure 3B, C).

Temperature (SST) and reproduction

There is a link between the reproductive cycles and fluctuations in SST. The localities that showed annual cycles had lower fluctuations than those localities with semi-annual cycles (Figure 4). Also, a negative linear correlation (r = −0.23, N = 131, P < 0.05) was obtained between the variables gonadosomatic index and SST in the populations analysed. Thus, when gamete emissions occur, SSTs are increased (~1°C).

Fig. 4. Annual average (±SD) sea surface temperature (SST) from October 2010 to November 2012.

The SST anomalies obtained for the locality of Taltal from 2002 to 2012, showed a tendency to decrease (Figure 5B). The mussels of this locality showed a change in the gametogenic pattern from semi-annual (between 2007 and 2008; data extracted from Oyarzún et al., Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010) to annual (between 2010 and 2012; data from this study) (Figure 5).

Fig. 5. Time series in the Taltal station (Chilean coast) between 2003 and 2012. (A) Daily Sea surface temperature (SST); Grey, Warm phase of El Niño–Southern Oscillation (ENSO) derived from Oceanic Niño Index obtained from NOAA's Climate Prediction Center; (B) Monthly SST anomalies. Semi-annual cycle extracted from Oyarzún et al. (Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2010); Annual cycle data from this study.

Latitudinal analysis

The reproductive isolation did not correlate with geographic distance (Mantel's test: r = 0.03, P > 0.05). Although there was not a latitudinal pattern regarding reproductive cycles, there was a significant correlation between the number of spawns per year and the latitude of a population (r = −0.79, P < 0.05). As latitude increases (to the south), the amount of spawning along the Chilean coast decreases (Figure 6).

Fig. 6. Number of annual spawning in the analysed populations (latitude) of the bivalve Perumytilus purpuratus from September 2010 to November 2012. IQ, Iquique; AN, Antofagasta; CB, Caleta Bolfin; TT, Taltal; MO, Montemar; TU, Tumbes; PU, Pucatrihue (see Figure 1).

DISCUSSION

On a latitudinal gradient, the reproductive cycle of P. purpuratus did not follow the description found in the literature, with only annual cycles at high latitudes (Rand, Reference Rand1973; Clarke, Reference Clarke1987), even if there is a latitudinal gradient in seawater temperature along the Chilean coast (Garcés-Vargas & Abarca-del-Río, Reference Garcés-Vargas and Abarca-del Río2012). Unfortunately, studies of the latitudinal variation on the reproduction of molluscs are scarce in the literature and inconclusive because the dominant factor regulating reproductive cycles (biotic or abiotic) is still unknown (Clarke, Reference Clarke1987; Hilbish & Zimmerman, Reference Hilbish and Zimmerman1988). Nevertheless, apparently local environmental conditions are those that determine the reproductive cycles since there is no correlation between reproduction status and geographic distance (Uribe et al., Reference Uribe, Oliva, Aguilar, Yamashiro and Riascos2012). This is evident in our results when comparing nearby localities. The contrasting pattern between Antofagasta and Caleta Bolfin populations is remarkable. The Antofagasta sampling site is located inside Antofagasta Bay (23°42′16.74″S 70°25′33.53″W), while Caleta Bolfín is found 30 km south of Antofagasta Bay (23°51′43.40″S 70°30′50.21″W). This last location is under the direct influence of one of the most important and permanent upwelling currents in northern Chile (upwelling events occurring year round) (Strub et al., Reference Strub, Mesías, Montecino, Rutllant and Salinas1998; Escribano et al., Reference Escribano, Rosales and Blanco2004). Coastal localized upwelling causes large drops in SST at scales of days, and may be accompanied by increased delivery of nutrients and invertebrate larvae to benthic habitats (Graham & Largier, Reference Graham and Largier1997; Shanks et al., Reference Shanks, Largier, Brink, Brubaker and Hooff2000), so cold upwelled waters and permanent upwelling influence could be determining the annual reproductive cycle at Caleta Bolfin. The Antofagasta Bay is a semi-enclosed, southward-facing bay containing warmer waters with temperatures averaging 2–3°C more than along the adjacent upwelling coasts from outside the bay (Piñones et al., Reference Piñones, Castilla, Guiñez and Largier2007). These results suggest that in the two analysed populations the reproductive pattern is regulated by local conditions that characterize the particular areas (i.e. local temperature and/or local oceanographic conditions). A study on another important seawater variable described the effects of salinity on bivalve reproduction (Ascencio et al., Reference Ascencio, Enríquez, Martínez and Aldana2016), showing that in female oysters (Crassostrea virginica) of different sizes, it does not have any effects on their reproduction. Moreover, Zweng et al. (Reference Zweng, Reagan, Antonov, Locarnini, Mishonov, Boyer, Garcia, Baranova, Johnson, Seidov, Biddle, Levitus and Mishonov2013) showed only reduced changes in salinity along the locations sampled (20–40°S), showing in situ averages (1955–2012), which ranged between 35 to 33.25 psu. Mackas et al. (Reference Mackas, Strub, Thomas, Montecino, Robinson and Brink2006) describes that along the Chilean coast, the locations of major coastal freshwater inputs are found at over 40oS latitude.

The number of spawning events per year is higher in populations inhabiting low latitudes (Figure 4). That is, the latitude affects the reproductive output, regulating the strategy of progeny and probably optimizing indirectly the larval survival, because phytoplankton abundance (food) at high latitudes (Southern Chile) is seasonal (mainly in spring–summer) (Toro et al., Reference Toro, Paredes, Villagra and Senn1999). In comparison, at low latitudes the phytoplankton concentration is relatively constant during the year (Daneri et al., Reference Daneri, Dellarossa, Quiñones, Jacob, Montero and Ulloa2000). This is a reason why populations and numbers of individuals of P. purpuratus are more abundant towards the northern coast of Chile (Broitman et al., Reference Broitman, Navarrete, Smith and Gaines2001). Furthermore, in all populations sampled there was a mass spawning in late winter. However, the species that co-inhabit with Perumytilus purpuratus (i.e. Mytilus spp., Choromytilus choros and Aulacomya atra) have spring–summer spawning (Garrido, Reference Garrido1996; Oyarzún et al., Reference Oyarzún, Toro, Jaramillo, Guiñez, Briones and Astorga2011). We consider that a broadcast gamete emission during winter is probably a reproductive strategy for larval survival (avoiding predation of larvae), furthermore Garrido (Reference Garrido1996) reported that P. purpuratus has a lecithotrophic or facultative larvae, which could make them independent of the amount of picoplankton during early larval stages.

A single spawning per year means that there is a concentration of the annual reproductive effort in a single event. Therefore, the success of recruitment of each cohort can vary from year to year depending on the interaction with the physical environment that occurs between spawning and settlement (Calvo et al., Reference Calvo, Morriconi, Orlear and Boschi1998). This has been observed in inter-annual variability during the recruitment of such species, caused by oceanographic changes such as the El Niño–Southern Oscillation (ENSO) (Navarrete et al., Reference Navarrete, Broitman, Wieters, Finke, Venegas and Sotomayor2002). In this context, the populations that have one spawning per year are more vulnerable to environmental changes. Lawrence & Soame (Reference Lawrence and Soame2004) suggested that major environmental changes (i.e. global warming), when decoupling and altering the relationship between temperature and photoperiod, is likely to produce consequences in the development stages. A drastic change in reproductive timing of these populations can have consequences such as: (1) difficulties in gonad maturation, (2) unstable spawning season and (3) decrease in the abundance of this species. Thus, the species that inhabit the P. purpuratus constructed matrices (e.g. polychaetes and small arthropods) would be indirectly affected. Undoubtedly, populations that are most vulnerable are those inhabiting high latitudes (e.g. Southern Chile) (Figure 4). Therefore, further studies are needed to take this into account.

There is no clarity in the effect of temperature on the reproductive cycle in molluscs (Jeffs et al., Reference Jeffs, Dunphy and Wells2002; Peck et al., Reference Peck, Powell and Tyler2007; Fearman & Moltschaniwskyj, Reference Fearman and Moltschaniwskyj2010). However, our data indicate that in localities with smaller fluctuations of SST, the mussels developed annual cycles, and in localities with greater fluctuations, the individuals developed semi-annual cycles (Figure 5). In addition, our analyses indicate that gamete emissions occur when temperatures increase on average ~1°C in a short time period, that is, a few days prior to spawning. Hence, seawater temperatures have an effect on reproductive cycles, because bivalves exposed to cold temperatures, with minimal seasonal changes, would exhibit slow developmental stages (Peck et al., Reference Peck, Powell and Tyler2007), since low temperatures cause a slow cellular activity, mainly due to inactivation of proteins (Van Der Have, Reference Van Der Have2002). There is a seasonal pattern in the incorporation of lipids within the cytoplasm of the oocytes, which is mainly associated with temperature (Angel-Dapa et al., Reference Angel-Dapa, Rodriguez-Jaramillo, Caceres-Martinez and Saucedo2010). Lipids are known to play a key role in maximizing the rate of hatched eggs (fecundity), rate of larval growth and survival and rate of settled post-larvae (reproductive success) (Gallager et al., Reference Gallager, Mann and Saaki1986; Fraser, Reference Fraser1989; Palacios et al., Reference Palacios, Racotta, Arjona-Leyva, Marty, Coz, Moal and Samain2007).

The present study observed a change in the reproductive pattern of mussels from Taltal, from a semi-annual cycle to an annual reproductive cycle, in combination with a decrease in SST at this location. Considering the effect of temperature on the reproductive cycle, it is possible that the reduced seawater temperature could be a factor affecting the change of the reproductive pattern (Figure 5). Thus, these results are the first record of a change in the reproductive cycle in marine invertebrates as a result of a decrease in the SST caused by global climate change (England et al., Reference England, McGregor, Spence, Meehl, Timmermann, Cai, Sen Gupta, McPhaden, Purich and Santoso2014; Sydeman et al., Reference Sydeman, García-Reyes, Schoeman, Rykaczewski, Thompson, Black and Bograd2014; Ancapichún & Garcés-Vargas, Reference Ancapichún and Garcés-Vargas2015). There was also a change in the reproductive cycle, increasing the stage of gonad development from 3 to 7 months and showing longer spawning periods. In the literature there is also evidence of changes in reproductive cycles of P. purpuratus in Antofagasta and Tabo (Lozada, Reference Lozada1964; Villalón, Reference Villalón1965; Lozada & Reyes, Reference Lozada and Reyes1981; Uribe et al., Reference Uribe, Oliva, Aguilar, Yamashiro and Riascos2012). Based on these data, it is suggested that a decrease in water temperature would induce more prolonged cycles during some seasons (i.e. bi-annual). Although there is evidence of a change in the reproductive timing pattern, the effects on the survival and abundance of recruits, as well as the extent of endogenous factors of these mussels populations (i.e. genetic load), being able to sustain the current patterns remain unknown. Unfortunately, we have no reproductive data with a greater temporal extent that will allow us to corroborate the reproductive cycle in the other locations. Therefore, we recommend continuing to assess reproductive traits in these localities.

Recent literature showed evidence of a poleward shift of marine organisms in response to climate change (Rivadeneira & Fernández, Reference Rivadeneira and Fernández2005; Przeslawski et al., Reference Przeslawski, Falkner, Ashcroft and Hutchings2012; Poloczanska et al., Reference Poloczanska, Brown, Sydeman, Kiessling, Schoeman, Moore, Brander, Bruno, Buckley, Burrows, Duarte, Halpern, Holding, Kappel, O'Connor, Pandolfi, Parmesan, Schwing, Thompson and Richardson2013) due to ocean warming, which is causing marine species to change their breeding patterns and migration due to an advancement of the arrival of spring in the sea (Poloczanska et al., Reference Poloczanska, Brown, Sydeman, Kiessling, Schoeman, Moore, Brander, Bruno, Buckley, Burrows, Duarte, Halpern, Holding, Kappel, O'Connor, Pandolfi, Parmesan, Schwing, Thompson and Richardson2013). However, seawater warming has not been uniform around oceans. In some regions SST has cooled, such as the coast of Chile (Figure 5) (Baumann & Doherty, Reference Baumann and Doherty2013; England et al., Reference England, McGregor, Spence, Meehl, Timmermann, Cai, Sen Gupta, McPhaden, Purich and Santoso2014; Ancapichún & Garcés-Vargas, Reference Ancapichún and Garcés-Vargas2015). This recent cooling trend in the eastern Pacific sea surface temperature (Garreaud & Falvey, Reference Garreaud and Falvey2009; England et al., Reference England, McGregor, Spence, Meehl, Timmermann, Cai, Sen Gupta, McPhaden, Purich and Santoso2014; Sydeman et al., Reference Sydeman, García-Reyes, Schoeman, Rykaczewski, Thompson, Black and Bograd2014; Ancapichún and Garcés-Vargas, Reference Ancapichún and Garcés-Vargas2015), is caused by an intensification of upwelling-favourable winds in eastern boundary current systems (Sydeman et al., Reference Sydeman, García-Reyes, Schoeman, Rykaczewski, Thompson, Black and Bograd2014). The reproductive changes produced by the seawater cooling are unknown; however, the present study is one of the first to provide some evidence on the consequences that this change in seawater temperature could have on marine bivalve reproduction. Moreover, Helmuth et al. (Reference Helmuth, Mieszkowska, Moore and Hawkins2006) indicated that changes in the intertidal biota due to climate change are occurring faster than changes in terrestrial species. Therefore, there is a need to continue this kind of study, since reproductive and phenological changes should be the first biological effects of permanent environmental changes.

ACKNOWLEDGEMENTS

We acknowledge the histological support from the Instituto de Ciencias Marinas y Limnológicas.

FINANCIAL SUPPORT

FONDECYT No. 1101007 (RG) and FONDECYT 1120419 (JET) financed this study. POC was supported by a CONICYT PhD scholarship.

References

REFERENCES

Ancapichún, S. and Garcés-Vargas, J. (2015) Variability of the Southeast Pacific Subtropical Anticyclone and its impact on sea surface temperature off north-central Chile. Ciencias Marinas 41, 120.CrossRefGoogle Scholar
Angel-Dapa, M.A., Rodriguez-Jaramillo, C., Caceres-Martinez, C.J. and Saucedo, P.E. (2010) Changes in lipid content of oocytes of the penshell Atrina maura as a criterion of gamete development and quality: a study of histochemistry and digital image analysis. Journal of Shellfish Research 29, 407413.CrossRefGoogle Scholar
Ascencio, L.A., Enríquez, M., Martínez, I. and Aldana, D. (2016) Efecto de la temperatura y la salinidad en el ciclo reproductor de hemras y machos de Crassostrea virginica (Bivalvia: Ostreidae). Revista de Biologia Tropical 64, 449459.CrossRefGoogle Scholar
Bakun, A. (1990) Global climate change and intensification of coastal ocean upwelling. Science 247, 198201.CrossRefGoogle ScholarPubMed
Bakun, A., Field, D.B., Redondo-Rodriguez, A. and Weeks, S.J. (2010) Greenhouse gas, upwelling-favorable winds, and the future of coastal ocean upwelling ecosystems. Global Change Biology 16, 12131228.CrossRefGoogle Scholar
Baumann, H. and Doherty, O. (2013) Decadal changes in the world's coastal latitudinal temperature gradients. PLoS ONE 8, e67596.CrossRefGoogle ScholarPubMed
Box, G.E.P. and Cox, D.R. (1964) An analysis of transformations. Journal of the Royal Statistical Society 26, 211252.Google Scholar
Broitman, B.R., Navarrete, S.A., Smith, F. and Gaines, S.D. (2001) Geographic variation of southeastern Pacific intertidal communities. Marine Ecology Progress Series 224, 2134.CrossRefGoogle Scholar
Calvo, J., Morriconi, E. and Orlear, PM. (1998) Estrategias reproductivas de bivalvos y equinoideos. In Boschi, E.E. (ed.) El mar Argentino y sus recursos pesqueros. Mar del Plata, Argentina: Offset Vega, pp. 195231.Google Scholar
Cardenas, L., Castilla, J.C. and Viard, F. (2009) A phylogeographical analysis across three biogeographical provinces of the south-eastern Pacific: the case of the marine gastropod Concholepas concholepas . Journal of Biogeography 36, 969981.CrossRefGoogle Scholar
Clarke, A. (1987) Temperature, latitude and reproductive effort. Marine Ecology Progress Series 38, 8999.CrossRefGoogle Scholar
Clarke, A. (2003) Costs and consequences of evolutionary temperature adaptation. Trends in Ecology and Evolution 18, 573581.CrossRefGoogle Scholar
Connolly, S.R., Menge, B.A. and Roughgarden, J. (2001) A latitudinal gradient in recruitment of intertidal invertebrates in the northeast Pacific Ocean. Ecology 82, 17991813.CrossRefGoogle Scholar
Daneri, G., Dellarossa, V., Quiñones, R., Jacob, B., Montero, P. and Ulloa, O. (2000) Primary production and community respiration in the Humboldt Current System off Chile and associated oceanic areas. Marine Ecology Progress Series 197, 4149.CrossRefGoogle Scholar
Edwards, M. and Richardson, A.J. (2004) Impact of climate change on marine pelagic phenology and trophic mismatch. Nature 430, 881884.CrossRefGoogle ScholarPubMed
England, M.H., McGregor, S., Spence, P., Meehl, G.A., Timmermann, A., Cai, W.J., Sen Gupta, A., McPhaden, M.J., Purich, A. and Santoso, A. (2014) Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus. Nature Climate Change 4, 222227.CrossRefGoogle Scholar
Escribano, R., Rosales, S.A. and Blanco, J.L. (2004) Understanding upwelling circulation off Antofagasta (northern Chile): a three-dimensional numerical-modeling approach. Continental Shelf Research 24, 3753.CrossRefGoogle Scholar
Fearman, J. and Moltschaniwskyj, N.A. (2010) Warmer temperatures reduce rates of gametogenesis in temperate mussels, Mytilus galloprovincialis . Aquaculture 305, 2025.CrossRefGoogle Scholar
Fraser, A.J. (1989) Triacylglycerol content as a condition index for fish, bivalve, and crustacean larvae. Canadian Journal of Fisheries and Aquatic Science 46, 18681873.CrossRefGoogle Scholar
Gallager, S.M., Mann, R. and Saaki, G.C. (1986) Lipid as an index of growth and viability in three species of bivalve larvae. Aquaculture 56, 81103.CrossRefGoogle Scholar
Garcés-Vargas, J. and Abarca-del Río, R. (2012) The surface heat fluxes along the eastern Pacific coast from 10°N to 40°S. Australian Meteorological and Oceanographic Journal 62, 7182.CrossRefGoogle Scholar
Garreaud, R.D. and Falvey, M. (2009) The coastal winds off western subtropical South America in future climate scenarios. International Journal of Climatology 29, 543554.CrossRefGoogle Scholar
Garrido, O. (1996) Biología comparada de la reproducción en molluscos bivalvos Mytilidae. PhD thesis. Universidad Austral de Chile, Chile.Google Scholar
Giese, A.C. (1959) Comparative physiology: annual reproductive cycles of marine invertebrates. Annual Review of Physiology 21, 547576.CrossRefGoogle ScholarPubMed
Giese, A.C. and Pearse, J.S. (1977) General principles. In Giese, A.C. and Pierse, J.S. (eds) Reproduction of marine invertebrates. New York, NY: Academic Press, pp. 149.Google Scholar
Graham, W. and Largier, J. (1997) Upwelling shadows as nearshore retention sites: the example of northern Monterey Bay. Continental Shelf Research 17, 509532.CrossRefGoogle Scholar
Guiñez, R. (1996) Dinámica poblacional del chorito maico, Perumytilus purpuratus (Lamarck 1819) (Bivalvia: Mytilidae), en gradientes de exposición al oleaje. PhD thesis. Pontificia Universidad Católica de Chile, Chile.Google Scholar
Guiñez, R., Pita, A., Pérez, M., Briones, C., Navarrete, S.A., Toro, J.E. and Presa, P. (2016) Present-day connectivity of historical stocks of the ecosystem engineer Perumytilus purpuratus along 4500 km of the Chilean coast. Fisheries Research 179, 322332.CrossRefGoogle Scholar
Helmuth, B., Mieszkowska, N., Moore, P. and Hawkins, S.J. (2006) Living on the edge of two changing worlds: forecasting the responses of rocky intertidal ecosystems to climate change. Annual Review of Ecology Evolution and Systematics 37, 373404.CrossRefGoogle Scholar
Hilbish, T.J. and Zimmerman, K.M. (1988) Genetic and nutritional control of the gametogenic cycles in Mytilus edulis . Marine Biology 98, 223228.CrossRefGoogle Scholar
Howard, D.W. and Smith, C.S. (1983) Histological techniques for marine bivalve mollusks. Woods Hole, MA: National Oceanic and Atmospheric Administration (NOAA).Google Scholar
Humason, GL. (1962) Animal tissue techniques. San Francisco, CA: WH Freeman & Company.CrossRefGoogle Scholar
IPCC (2013) Climate Change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.Google Scholar
Jaramillo, J.R. and Navarro, J.M. (1995) Reproductive cycle of the Chilean Ribbed Mussel Aulacomya ater (Molina, 1782). Journal of Shellfish Research 14, 165171.Google Scholar
Jeffs, A.G., Dunphy, B.J. and Wells, R.M.G. (2002) Experimental effects of water temperature on the gametogenic development of broodstock in the oyster, Ostrea chilensis . Journal of Shellfish Research 21, 743747.Google Scholar
Kim, Y., Ashton-Alcox, K.A. and Powell, E.N. (2006) Histological techniques for marine bivalve molluscs. Silver Spring, MD: National Oceanic and Atmospheric Administration (NOAA). 64 pp.Google Scholar
Lawrence, A.J. and Soame, J.M. (2004) The effects of climate change on the reproduction of coastal invertebrates. Ibis 146, 2939.CrossRefGoogle Scholar
Levitus, S., Antonov, J.I., Boyer, T.P. and Stephens, C. (2000) Warming of the world ocean. Science 287, 22252229.CrossRefGoogle Scholar
Lowe, D.M., Moore, M.N. and Bayne, B.L. (1982) Aspect of gametogenesis in the marine mussel Mytilus edulis L. Journal of the Marine Biological Association of the United Kingdom 62, 133145.CrossRefGoogle Scholar
Lozada, E. (1964) Observaciones sobre la población de Perumytilus purpuratus (Lamarck) en el Tabo (1961–1962) (Moll. Biv. Mytilidae). Undergraduate thesis. Universidad de Chile, Chile.Google Scholar
Lozada, E. and Reyes, P. (1981) Reproductive biology of a population of Perumytilus purpuratus at El Tabo, Chile. Veliger 24, 147154.Google Scholar
MacDonald, B.A. and Thompson, R.J. (1986) Influence of temperature and food availability on the ecological energetics of the giant scallop Placopecten magellanicus. III. Physiological ecology, the gametogenic cycle and scope for growth. Marine Biology 93, 3748.CrossRefGoogle Scholar
Mackas, D.L., Strub, P.T., Thomas, A. and Montecino, V. (2006) Eastern ocean boundaries. Pan-regional overview. In Robinson, A.R. & Brink, K.H. (eds) The sea, Volume 14A. Cambridge, MA: Harvard University Press, pp. 2159.Google Scholar
Mueter, F.J. and Litzow, M.A. (2008) Sea ice retreat alters the biogeography of the Bering Sea continental shelf. Ecological Application 18, 309320.CrossRefGoogle ScholarPubMed
Navarrete, S.A., Broitman, B.R., Wieters, E.A., Finke, G.R., Venegas, R.M. and Sotomayor, A. (2002) Recruitment of intertidal invertebrates in the southeast Pacific: interannual variability and the 1997–1998 El Niño. Limnology and Oceanography 47, 791802.CrossRefGoogle Scholar
Oyarzún, P.A., Toro, J.E., Jaramillo, R., Guiñez, R., Briones, C. and Astorga, M. (2010) Análisis comparativo del ciclo gametogénico de Perumytilus purpuratus (Bivalvia: Mytilidae), en las localidades de Taltal y Huasco, norte de Chile. Revista de Biología Marina y Oceanografía 45, 4358.Google Scholar
Oyarzún, P.A., Toro, J.E., Jaramillo, R., Guiñez, R., Briones, C. and Astorga, M. (2011) Ciclo gonadal del chorito Mytilus chilensis (Bivalvia: Mytilidae) en dos localidades del sur de Chile. Latin American Journal of Aquatic Research 39, 512525.CrossRefGoogle Scholar
Palacios, E., Racotta, I.S., Arjona-Leyva, O., Marty, Y., Coz, J.R.L., Moal, J. and Samain, F.J. (2007) Lipid composition of the pacific lion-paw scallop, Nodipecten subnodosus, in relation to gametogenesis. Aquaculture 266, 266273.CrossRefGoogle Scholar
Parmesan, C. (2007) Influences of species, latitudes and methodologies on estimates of phenological response to global warming. Global Change Biology 13, 18601872.CrossRefGoogle Scholar
Peck, L.S., Powell, D.K. and Tyler, P.A. (2007) Very slow development in two Antarctic bivalve molluscs, the infaunal clam Laternula elliptica and the scallop Adamussium colbecki . Marine Biology 150, 11911197.CrossRefGoogle Scholar
Piñones, A., Castilla, J.C., Guiñez, R. and Largier, J.L. (2007) Nearshore surface temperatures in Antofagasta Bay (Chile) and adjacent upwelling centers. Ciencias Marinas 33, 3748.CrossRefGoogle Scholar
Poloczanska, E.S., Brown, C.J., Sydeman, W.J., Kiessling, W., Schoeman, D.S., Moore, P.J., Brander, K., Bruno, J.F., Buckley, L.B., Burrows, M.T., Duarte, C.M., Halpern, B.S., Holding, J., Kappel, C.V., O'Connor, M.I., Pandolfi, J.M., Parmesan, C., Schwing, F., Thompson, S.A. and Richardson, A.J. (2013) Global imprint of climate change on marine life. Nature Climate Change 3, 919925.CrossRefGoogle Scholar
Prado, L. and Castilla, J.C. (2006) The bioengineer Perumytilus purpuratus (Mollusca: Bivalvia) in central Chile: biodiversity, habitat structural complexity and environmental heterogeneity. Journal of the Marine Biological Association of the United Kingdom 86, 417421.CrossRefGoogle Scholar
Przeslawski, R., Falkner, I., Ashcroft, M.B. and Hutchings, P. (2012) Using rigorous selection criteria to investigate marine range shifts. Estuarine Coastal Shelf Science 113, 205212.CrossRefGoogle Scholar
R Development Core Team (2008) R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Available at: http://www.R-project.org Google Scholar
Rand, W.M. (1973) A stochastic model of the temporal aspect of breeding strategies. Journal of Theoretical Biology 40, 337351.CrossRefGoogle ScholarPubMed
Rivadeneira, M.M. and Fernández, M. (2005) Shifts in southern endpoints of distribution in rocky intertidal species along the south-eastern Pacific coast. Journal of Biogeography 32, 203209.CrossRefGoogle Scholar
Seed, R. (1976) Ecology. In Bayne, B.L. (ed.) Marine mussels: their ecology and physiology. Cambridge: Cambridge University Press, pp. 1366.Google Scholar
Shanks, A.L., Largier, J., Brink, L., Brubaker, J. and Hooff, R. (2000) Demonstration of the onshore transport of larval invertebrates by the shoreward movement of an upwelling front. Limnology and Oceanography 45, 230236.CrossRefGoogle Scholar
Sinnott, R.W. (1984) Virtues of the haversine. Sky Telescope 68, 159.Google Scholar
Sokal, R. and Rohlf, F. (1995) Biometry: the principles and practice of statistics in biological research. New York, NY: W. H. Freeman and Company.Google Scholar
Spalding, M.D., Fox, H.E., Allen, G.R., Davidson, N., Ferdaña, Z.A., Finlayson, M., Halpen, B.S., Jorge, M.A., Lombana, A., Lourie, S.A., Martin, K.D., Mcmanus, E., Molnar, J., Recchia, C.A. and Robertson, J. (2007) Marine ecoregions of the world: a bioregionalization of coastal and shelf areas. BioScience 57, 573583.CrossRefGoogle Scholar
Strub, T., Mesías, J., Montecino, V., Rutllant, J. and Salinas, S. (1998) Coastal ocean circulation off western South America. The Sea 11, 273313.Google Scholar
Sydeman, W.J., García-Reyes, M., Schoeman, D.S., Rykaczewski, R.R., Thompson, S.A., Black, B.A. and Bograd, S.J. (2014) Climate change and wind intensification in coastal upwelling ecosystems. Science 345, 7780.CrossRefGoogle ScholarPubMed
Thorarinsdóttir, G.G. and Gunnarsson, K. (2003) Reproductive cycles of Mytilus edulis L. on the west and east coasts of Iceland. Polar Research 22, 217223.CrossRefGoogle Scholar
Toro, J.E., Paredes, P.I., Villagra, D.J. and Senn, C.M. (1999) Seasonal variation in the phytoplanktonic community, seston and environmental variables during a two year period and oyster growth at two mariculture sites, southern Chile. Marine Ecology 20, 6389.CrossRefGoogle Scholar
Uribe, R.A., Oliva, M.E., Aguilar, S., Yamashiro, C. and Riascos, J.M. (2012) Latitudinal variation in the reproductive cycle of two bivalves with contrasting biogeographical origin along the Humboldt Current Upwelling Ecosystem. Scientia Marina 76, 713720.Google Scholar
Van Der Have, T.M. (2002) A proximate model for thermal tolerance in ectotherms. Oikos 98, 141155.CrossRefGoogle Scholar
Villalón, R.B. (1965) Observaciones sobre la población de Perumytilus purpuratus (Lamarck) Antofagasta (1962–63). Undergraduate thesis. Universidad de Chile, Chile, Antofagasta, Chile.Google Scholar
Weibel, E.R. (1969) Stereological principles for morphometry in electron microscopic cytology. International Review of Cytology 26, 235302.CrossRefGoogle ScholarPubMed
Weibel, E.R. and Gomez, D.M. (1962) A principle for counting tissue structures on random section. Journal of Applied Physics 17, 343348.Google Scholar
Zagal, C.J. and Hermosilla, C. (2001) Guía de invertebrados marinos del litoral Valdiviano. Valdivia: Quebecor World Press.Google Scholar
Zweng, M.M, Reagan, J.R., Antonov, J.I., Locarnini, R.A., Mishonov, A.V., Boyer, T.P., Garcia, H.E., Baranova, O.K., Johnson, D.R., Seidov, D. and Biddle, M.M. (2013) World Ocean Atlas 2013. Volume 2: Salinity. Levitus, S. (ed.) & Mishonov, A. (Technical ed.). NOAA Atlas NESDIS 74, 39 pp.Google Scholar
Figure 0

Fig. 1. Reproductive cycle (set of gonad development stages) of Perumytilus purpuratus from the coast of Chile based on samples collected monthly from September 2010 to October 2012. The reproductive cycles at Huasco (from Oyarzún et al., 2010) and Tabo (based on data from Lozada & Reyes, 1981) are also shown. Methodology, GSI, gonadosomatic index; GVF, Gamete Volume Fraction; Histology, histological observations.

Figure 1

Table 1. Summary of gametogenic cycles and spawning periods of intertidal bivalve P. purpuratus in the analysed populations (i) Villalón (1965), (ii) Oyarzún et al. (2010), (iii) Lozada (1964), Lozada & Reyes (1981).

Figure 2

Fig. 2. Gamete Volume Fraction (GVF) of previtellogenic, vitellogenic and mature oocytes in females of the bivalve Perumytilus purpuratus in populations of (A) Iquique, (B) Taltal, (C) Montemar, (D) Tumbes and (E) Pucatrihue (see Figure 1), between September 2010 and September 2012. Greyshading indicates winter season.

Figure 3

Fig. 3. Gonadosomatic index (mean ± SE) for Perumytilus purpuratus in the locations of (A) Iquique, (B) Antofagasta, (C) Caleta Bolfin, (D) Taltal, (E) Montemar, (F) Tumbes and (G) Pucatrihue (see Figure 1), between September 2010 and November 2012. Dotted line corresponds to the period of spawning (both sexes) corroborated against histological cuts. The vertical lines mark the annual period.

Figure 4

Fig. 4. Annual average (±SD) sea surface temperature (SST) from October 2010 to November 2012.

Figure 5

Fig. 5. Time series in the Taltal station (Chilean coast) between 2003 and 2012. (A) Daily Sea surface temperature (SST); Grey, Warm phase of El Niño–Southern Oscillation (ENSO) derived from Oceanic Niño Index obtained from NOAA's Climate Prediction Center; (B) Monthly SST anomalies. Semi-annual cycle extracted from Oyarzún et al. (2010); Annual cycle data from this study.

Figure 6

Fig. 6. Number of annual spawning in the analysed populations (latitude) of the bivalve Perumytilus purpuratus from September 2010 to November 2012. IQ, Iquique; AN, Antofagasta; CB, Caleta Bolfin; TT, Taltal; MO, Montemar; TU, Tumbes; PU, Pucatrihue (see Figure 1).