Scientia Marina 86 (4)
December 2022, e045
ISSN: 0214-8358, eISSN: 1886-8134
https://doi.org/10.3989/scimar.05284.045
Iberoamerican fisheries and fish reproductive ecology
N. Bahamon, R. Domínguez-Petit, J. Paramo, F. Saborido-Rey and A. Acero P. (eds)

Expansion and contraction of the Engraulis ringens spawning area in northern Chile

Expansión y contracción del área de desove de Engraulis ringens en el norte de Chile

Paola Moreno

Programa Magister en Ciencias Aplicadas mención Biología Pesquera, Facultad de Recursos Naturales Renovables, Universidad Arturo Prat, Avenida Arturo Prat 2120, Iquique, Casilla 121, Chile.

Facultad de Recursos Naturales Renovables, Universidad Arturo Prat, Avenida Arturo Prat 2120, Iquique, Casilla 121, Chile.

https://orcid.org/0000-0002-1041-4632

Gabriel Claramunt

Facultad de Recursos Naturales Renovables, Universidad Arturo Prat, Avenida Arturo Prat 2120, Iquique, Casilla 121, Chile.

https://orcid.org/0000-0003-0490-6734

Summary

Many studies have considered the temporal patterns of reproduction of Engraulis ringens, but little attention has been given to the spatial patterns of reproduction (spawning areas), which have shown great variability in both location (geographical position) and extent (the area covered by positive stations), without a satisfactory explanation. Along the Chilean coast, the daily egg production method (DEPM) has been used for several years to estimate spawning biomass in the northern Chile E. ringens population, with 24 surveys being carried out from 1992 to 2020. The most fluctuating parameters estimated in the DEPM have been the location and extent of the spawning area and the average female weight. In the last few years the eggs were distributed near the coast, whereas in the first few years they showed a more oceanic distribution. The average female weight has fallen from 30 g in the 1990s to 11 g in the last few years. In the present study, we analysed the relationship of the location and extent of spawning areas with female size and abundancy in E. ringens from northern Chile. According to the results, periods of high abundancy of eggs are positively correlated with larger females that spawn in more oceanic zones and to the south, expanding the spatial egg distribution and increasing the egg density. By contrast, in years with low abundance of eggs, the spawning was located north and towards the coast, with a smaller spawning area and smaller female size.

Keywords: 
anchovy; reproduction; spawning areas
Resumen

Han habido muchos estudios sobre los patrones temporales en la reproducción de Engraulis ringens, sin embargo, se ha prestado poca atención a los patrones espaciales de reproducción (áreas de desove), que han mostrado una gran variabilidad tanto en la ubicación (posición geográfica) como en la extensión (área cubierta por estaciones positivas), sin tener explicación satisfactoria. A lo largo de la costa chilena, el método de producción diaria de huevos (MPDH) se ha utilizado durante varios años para estimar la biomasa desovante de E. ringens del norte de Chile, con 24 aplicaciones desde 1992 hasta 2020. Los parámetros más fluctuantes estimados en el MPDH han sido la zona de desove, tanto en localización como en extensión y el peso medio de las hembras. En los últimos años los huevos se han distribuido cerca de la costa en contraste con los primeros años con una distribución más oceánica. El promedio del peso de las hembras se ha reducido de 30 g en la década de los 90 a 11 g en los últimos años. En el presente estudio analizamos la relación entre la ubicación y extensión de las áreas de desove, con el peso de las hembras y su abundancia en E. ringens del norte de Chile. Según los resultados, los períodos de alta abundancia de huevos se correlacionan positivamente con hembras más grandes que desovan en zonas más oceánicas y hacia el sur, expandiendo la distribución espacial de huevos y aumentando la densidad de huevos. Por el contrario, en años donde se registró baja abundancia de huevos, el desove se ubicó al norte y hacia la costa con menor área de desove y menor tamaño de las hembras.

Palabras clave: 
anchoveta; reproducción; áreas de desove

Received: March  18,  2022. Accepted: August  29,  2022. Published: October  29,  2022

Editor: R. Dominguez Petit.

Citation/Cómo citar este artículo: Moreno P., Claramunt G. 2022. Expansion and contraction of the Engraulis ringens spawning area in northern Chile. Sci. Mar. 86(4): e045. https://doi.org/10.3989/scimar.05284.045

CONTENT

INTRODUCTION

 

The anchoveta, Engraulis ringens Jenyns 1842, from northern Chile has a short life cycle, a fast growth rate and therefore a naturally high mortality rate (Cubillos and Arancibia 1993Cubillos L., Arancibia H. 1993. Análisis de la pesquería de sardina común (Strangomera bentincki) y anchoveta (Engraulis ringens) del área de Talcahuano, Chile. Invest. Mar., Valparaíso 21: 3-21., Cubillos et al. 2001Cubillos L., Arcos D., Bucarey D., Canales M. 2001. Seasonal growth of small pelagic fish off Talcahuano (37°S-73°W), Chile: a consequence of their reproductive strategy to seasonal upwelling? Aquat. Living Resour. 14: 115-124.). Juveniles typically recruit to the fisheries around five months after hatching (Castillo and Plaza 2016Castillo F., Plaza G. 2016. Daily growth patterns of juveniles and adults of the Peruvian anchovy (Engraulis ringens) in northern Chile. Mar. Freshw. Res. 67: 899-912. https://doi.org/10.1071/MF15032 ). The spawning season of the species tends to occur in winter (Southern Hemisphere) and extends from July to September with a peak between August and September (Claramunt et al. 2014Claramunt G., Cubillos L., Castro L., et al. 2014. Variation in the spawning periods of Engraulis ringens and Strangomera bentincki off the coasts of Chile: A quantitative analysis. Fish. Res. 160: 96-102. https://doi.org/10.1016/j.fishres.2013.09.010 ). Many studies have considered the temporal patterns of reproduction of the anchoveta (Cubillos and Claramunt 2009Cubillos L.A., Claramunt G. 2009. Length-structured analysis of the reproductive season of anchovy and common sardine off central southern Chile. Mar. Biol. 156: 1673-1680. https://doi.org/10.1007/s00227-009-1202-5 , Claramunt et al. 2014Claramunt G., Cubillos L., Castro L., et al. 2014. Variation in the spawning periods of Engraulis ringens and Strangomera bentincki off the coasts of Chile: A quantitative analysis. Fish. Res. 160: 96-102. https://doi.org/10.1016/j.fishres.2013.09.010 , Hernández et al. 2013Hernández C., Perez-Mora G., Díaz-Ramos E., Bohm-Stofffel G. 2013. Análisis de indicadores macro y microscópicos para establecer el periodo de máxima intensidad de desove de la anchoveta Engraulis ringens en la zona norte de Chile. Rev. Biol. Mar. Oceanogr. 48: 451-457. https://doi.org/10.4067/S0718-19572013000300004 ), but little attention has been given to the spatial patterns of reproduction (spawning areas), which have shown great variability in both location (geographical position) and extent (the area covered by positive stations), without a satisfactory explanation. According to Castillo-Jordán et al. (2007)Castillo-Jordán C., Cubillos L., Paramo J. 2007. The spawning spatial structure of two co-occurring small pelagic fish off central southern Chile in 2005. Aquat. Living Resour. 20: 77-84. https://doi.org/10.1051/alr:2007018 , GAM models indicate that in southern Chile egg density distribution is better explained by a bivariate function of longitude and latitude together with bottom depth. However, since in this case egg densities depend exclusively on parameters that are not directly sensitive for fish, the results are not satisfactory from a biological point of view (Castillo-Jordán et al. 2007Castillo-Jordán C., Cubillos L., Paramo J. 2007. The spawning spatial structure of two co-occurring small pelagic fish off central southern Chile in 2005. Aquat. Living Resour. 20: 77-84. https://doi.org/10.1051/alr:2007018 ). For northern populations there is no explanation yet for the changes in the location or extent of their spawning areas. In a study of spawning habitat preferences, Claramunt et al. (2012)Claramunt G., Castro L.R., Cubillos L., et al. 2012. Variaciones interanuales en aspectos reproductivos y preferencias por el sitio de desove en Engraulis ringens del norte de Chile. Rev. Biol. Mar. Oceanogr. 47: 227-243. https://doi.org/10.4067/S0718-19572012000200006 concluded that chlorophyll concentration could be a relevant variable in female spawning habitat selection, but this does not explain interannual expansion and contraction of the spawning area.

Along the Chilean coast, the daily egg production method has been used for several years to estimate spawning biomass in the northern Chile E. ringens population, with 24 surveys being carried out from 1992 to 2020. One of the great advantages of this method is that in addition to abundance estimates it provides valuable information about the reproductive biology of the stocks, through intensive sampling of the ichthyoplankton and adult females (Claramunt et al. 2019Claramunt, G., Cubillos, L., Herrera, G., Díaz E. 2019. Spawning marker patterns of Engraulis ringens of northern Chile. Fish. Res. 219: 105306. https://doi.org/10.1016/j.fishres.2019.06.004 , Claramunt et al. 2012Claramunt G., Castro L.R., Cubillos L., et al. 2012. Variaciones interanuales en aspectos reproductivos y preferencias por el sitio de desove en Engraulis ringens del norte de Chile. Rev. Biol. Mar. Oceanogr. 47: 227-243. https://doi.org/10.4067/S0718-19572012000200006 ). The most fluctuating parameters estimated in the daily egg production method have been location and extent of the spawning area and the average female weight. In the spawning area, changes occurred in latitude and coast-ocean directions. In the last few years the eggs were distributed near the coast, whereas the first few years they showed a more oceanic distribution. The average female weight has fallen from 30 g in the 1090s to 11 g in the last few years. In the present study, we analysed the relationship of the location and extent of the spawning areas with female size and abundancy in E. ringens from northern Chile.

MATERIALS AND METHODS

 

This study used information found in the database of the daily egg production method programme, which consisted of research cruises carried out during the peak spawning season from 1992 to 2020, except the years 1993, 1994, 1998 and 2010, making a total of 25 cruises (Table 1). The study area covered the northern region of Chile, from 18°20’S (Arica) to 26°03’S (Carrizalillo), and from the coast to 60 or 80 nautical miles (nm) seaward, with transects every 10 nm and stations every 5 nm. At every station, eggs were collected using a CalVET plankton net with a 0.05 m2 mouth area equipped with a 250 µm mesh size net. Simultaneously purse-seine boats were used for annual adult surveys, which sampled a minimum of 30 females in each of the 40 hauls.

Table 1.  Information used in the study. Stations (+): number of stations with anchovy eggs. CG, centre of gravity in latitude (°S) and longitude (°W); A, survey area; A(+), spawning area; A(+)/A, spawning area/survey area.
Stations Stations (+) Egg density Survey area Spawning area A(+)/A Female weight CG Latitude CG Longitude Annual catch
Year N°/0.05 m2 mn2 mn2 g °S °W t*1000
1992 542 212 20.2 18341.8 9966.5 0.54 21.0 19.94 70.61 954
1995 578 209 13.3 18794.6 8710.3 0.46 29.0 22.40 70.76 1482
1996 752 176 8.9 19668.5 6422.9 0.33 30.0 21.10 70.66 840
1997 800 209 10.1 28713.7 10328.2 0.36 21.7 21.92 70.72 1317
1999 598 132 12.7 28018.7 7182.8 0.26 23.0 21.72 70.53 809
2000 502 212 20.9 20186.8 10212.8 0.51 30.9 21.59 70.64 1154
2001 514 60 14.5 25630.9 3481.3 0.14 32.4 21.93 70.33 640
2002 589 310 31.0 29947.1 17781.3 0.59 21.3 21.43 70.60 1216
2003 537 129 17.2 26799.6 7498.3 0.28 25.2 21.18 70.42 418
2004 649 211 19.1 32006.8 11694.9 0.37 23.6 20.78 70.59 1394
2005 658 215 25.9 32581.1 12239.6 0.38 23.0 21.33 70.77 1008
2006 799 226 14.3 40771.6 14804.0 0.36 22.5 20.89 70.52 513
2007 799 113 5.9 38206.6 7611.9 0.20 21.7 19.40 70.64 745
2008 717 136 14.4 34860.3 8912.6 0.26 21.8 21.24 70.33 648
2009 773 41 6.1 38234.8 3036.6 0.08 18.0 19.47 70.30 440
2011 730 292 19.1 35033.2 17316.6 0.49 23.4 21.34 70.51 958
2012 564 211 19.1 34823.7 18326.2 0.53 20.1 21.72 70.51 710
2013 770 201 8.2 35874.6 11141.7 0.31 24.5 20.37 70.50 691
2014 632 128 11.8 29581.5 6937.7 0.23 17.0 19.82 70.41 729
2015 659 150 9.4 31814.3 9689.9 0.30 13.2 21.12 70.41 633
2016 791 64 7.6 41102.6 4175.2 0.10 11.5 18.89 70.46 243
2017 819 108 5.4 42508.7 7095.8 0.17 15.7 19.63 70.51 530
2018 799 203 16.9 40732.0 12783.0 0.31 15.9 20.84 70.48 751
2019 782 117 14.3 41757.0 8366.0 0.20 11.1 20.28 70.35 516
2020 789 52 5.4 39272.9 3890.8 0.10 11.7 19.79 70.29 268

For the purpose of exploring the changes in the location of the spawning areas, the centre of gravity for each year was calculated using the following equation.

C G = h * L a t h  

where h is the number of eggs at a given station and Lat is the position of the station in either latitude or longitude (Bez 1997Bez N. 1997. Statistiques individuelles et géostatistique transitive en écologie halieutique. Thése, Ecole Nationale Spérieure des Mines de Paris, 303 pp., Gutierrez et al. 2012Gutierrez M., Castillo R., Segura M., et al. 2012. Tendencias espacio-temporales en la distribución de la biomasa de anchoveta peruana y de otros peces pelágicos pequeños entre 1966 y 2009. Lat. Am. J. Aquat. Res. 40: 633-648.). The egg density was calculated as the average number of eggs per 0.05 m2 at the positive stations (i.e. at least one egg).

For each survey the area regarded as the main spawning area encompassed all positive stations (i.e. with anchovy eggs) as well as negative stations embedded between positive stations. All negative stations outside the positive area were omitted from the area estimate. To overcome interannual differences in the total amount of surveyed area, the spawning area was standardized by the ratio with the total area of each survey: spawning area/survey area (Table 1).

The annual catch (Table 1) was used as an abundance index for the stock. The database of industrial fleet landing was obtained from the national fisheries service (SERNAPESCAServicio Nacional de Pesca y Agricultura (SERNAPESCA). www.SERNAPESCA.cl ; www.SERNAPESCA.cl).

The relationships between variables were tested by means of multiple and simple linear regressions and the significance of the coefficients by t test.

RESULTS

 

In the northern zone a high variability in both location (geographical position) and extent (the area covered by positive stations) of the spawning area was observed (Fig. 1). In terms of locations, changes occurred in latitude and coast-ocean directions. In some years (e.g. 2015, 2017 and 2019) the eggs were distributed near the coast, whereas in others (2000, 2002) they showed a more oceanic distribution. Latitudinally within the spawning area in northern Chile, in some years (e.g. 2013) the main spawning zones were north of 20°S, while in other years (e.g. 2011, 2015) they were south of 21°S.

medium/medium-SCIMAR-86-04-e045-gf1.png
Fig. 1.  Anchovy egg distribution from 2000 to 2021. Diameter of the circles are proportional to the eggs numbers (N°/0.05 m2). Circles in eggs number/0.05 m2.

Female length frequency distribution shows a clear reduction pattern (Fig. 2). In the first years the mode is centred near 16 cm, falling to 12 cm in the last years. The extent of the spawning area is correlated with annual landings (Fig. 3A, Table 2), latitude (Fig. 3B) and longitude (Fig. 3D, Table 2). An expansion of the spawning area is associated with an increase in egg density (Fig. 3C, Table 2).

medium/medium-SCIMAR-86-04-e045-gf2.png
Fig. 2.  Distribution of female total length (cm). Horizontal line indicates 12 cm total length (maturity).
medium/medium-SCIMAR-86-04-e045-gf3.png
Fig. 3.  Relationship between annual catch and spawning area (as a proportion of the survey area) (A). Egg distribution latitude (°S), centre of gravity and annual catch (B). Spawning area and egg density (N°/0.05 m2) (C). Egg distribution longitude (°W), centre of gravity and annual catch (D). Numbers indicate year.
Table 2.  Results of the linear regressions between independent (X) and dependent (Y) variables. CG, Gravity Centre; a, Intercept; b, slope; Sa and Sb, standard error. Prob, probability parameter = 0.
Independent Dependent a Sa Prob b Sb Prob R2 n
Annual catch Spawning area 0.069 0.055 0.219 0.0003 10-5 7.08 10-5 0.50 25
Spawning area Egg density 3.47 2.11 0.114 33.7 6.11 1.30 10-5 0.57 25
GC latitude Annual catch -3672 1250 0.007 214 60.04 0.0016 0.36 25
GC longitude Annual catch -127179 22658 1.03 10-5 1814.7 321.3 9.50 10-6 0.58 25
GC latitude Average female weight -62.9 21.27 0.007 4.04 1.02 0.0006 0.41 25
GC longitude Average female weight -1343 550.2 0.023 19.4 7.80 0.021 0.21 25

The eggs’ centres of gravity show a trend over time to be located north and towards the coast (Fig. 4A). The years with centres of gravity located south and towards the ocean are associated with high annual landings (Fig. 4B). Low landings are associated with centres of gravity located north and towards the coast. A multiple linear regression of annual landings as a function of centres of gravity in latitude and longitude was adjusted (Table 3), resulting in an equation with predicted values very close to the observed ones (Fig. 5).

medium/medium-SCIMAR-86-04-e045-gf4.png
Fig. 4.  A, centre of gravity of egg distribution. B, centre of gravity of egg distribution and annual catch (diameter of the circles).
Table 3.  Results of the linear multiple relationship between annual catch and centre of gravity in longitude (CGLong) and latitude (CGLat). SD, standard deviation.
Coefficient SD Probability
Intercept -107329.9 3.6758E-05
CGLong 1494.4 5.568E-05
CGLat 131.5 0.0082
r2 0.84
n 25
medium/medium-SCIMAR-86-04-e045-gf5.png
Fig. 5.  Left: Observed annual catch from 1992 to 2020 and estimated annual catch (t*1000) by a multiple linear regression with egg distribution centre of gravity in latitude (°S) and longitude (°W). Right: Linear regression between observed and estimated annual catch.

Female size is correlated with centre of gravity in latitude and longitude (Fig. 6, Table 2). Larger females spawn in more oceanic areas and southwards. Summarizing the results, years with high catch are associated with larger females that spawn in more oceanic zones and to the south, expanding the eggs’ spatial distribution.

medium/medium-SCIMAR-86-04-e045-gf6.png
Fig. 6.  Relationship between average female weight and latitude (°S) and longitude (°W) of the centre of gravity of egg distribution.

DISCUSSION

 

According to the results, years with high annual catches of anchovy show high egg density, an extended spawning area and a good range of female size distribution, with females over 31 g or 16 cm. By contrast, years with low annual catches show lower egg density, the spawning area is restricted to the coastal zone and the female size distribution is restricted to smaller females (<31 g or 16 cm).

The egg distribution area could be used as a proxy for the adult fish distribution area, as tested by Barange et al. (2009)Barange M., Coetzee J., Takasuka A., et al. 2009. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. https://doi.org/10.1016/j.pocean.2009.07.027 , indicating that if the eggs samples are taken during the peak period of the species’ spawning season, the distribution area of the eggs is proportional (but not equivalent) to that of the adults, thus validating the use of either eggs or adults to estimate the relationship between distribution area and stock size (Barange et al. 2009Barange M., Coetzee J., Takasuka A., et al. 2009. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. https://doi.org/10.1016/j.pocean.2009.07.027 ). Therefore, we can postulate that spawning area is a proxy of adult distribution, so the expansion and contraction of the spawning area of the anchoveta in the northern region of Chile follow the changes in abundance of eggs to adults.

The results show that the spawning area location is influenced by female weight distribution. Bigger females have a more oceanic and southward spawn, expanding the egg distribution. These results contrast with the proposal of Swartzman et al. (2008)Swartzman G., Bertrand A., Gutiérrez M., et al. 2008. The relationship of anchovy and sardine to water masses in the Peruvian Humboldt Current System from 1983 to 2005. Progress In Oceanography 79. 228-237. https://doi.org/10.1016/j.pocean.2008.10.021 that the Peruvian stock of anchoveta is restricted to the cold waters of coastal upwelling, regardless of their abundance. Barange et al. (2009)Barange M., Coetzee J., Takasuka A., et al. 2009. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. https://doi.org/10.1016/j.pocean.2009.07.027 suggest that in anchoveta the available habitat determines the size of the stock of the anchoveta. The causes of female size reduction in the northern anchovy population are as yet unknown. Natural and fishery mortality and changes in growth rate could be involved.

Three basic models describe the relationship between stock size, distribution area and local density (Petitgas 1998Petitgas P. 1998. Biomass-dependent dynamics of fish spatial distributions characterized by geostatistical aggregation curves - ICES Journal of Marine Science 55: 443-453. https://doi.org/10.1006/jmsc.1997.0345 , Barange et al. 2009Barange M., Coetzee J., Takasuka A., et al. 2009. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. https://doi.org/10.1016/j.pocean.2009.07.027 ): (i) the constant density model, in which density stays constant and the area covered by the stock varies with abundance; (ii) the proportional model, in which the area occupied stays constant and local density varies proportionally to abundance; and (iii) the basin model, in which density and area vary with abundance. According to our results, anchovy off northern Chile shows a type (iii) model, density and area varying with abundance.

Although the mechanisms and environmental aspects that cause fluctuations in anchoveta populations have received considerable attention around the world (Alheit and Bakun 2010Alheit J., Bakun A. 2010. Population synchronies within and between ocean basins: Apparent teleconnections and implications as to physical-biological linkage mechanisms. J. Mar. Syst. 79: 267-285. https://doi.org/10.1016/j.jmarsys.2008.11.029 , Alheit et al. 2019Alheit J., Lorenzo E. D., Rykaczewski R. R., Sundby S. 2019. Drivers of dynamics of small pelagic fish resources: environmental control of long-term changes. Deep Sea Res. Part II. 159: 1-3. https://doi.org/10.1016/j.dsr2.2018.12.005 , McCall 2009McCall A. D. 2009. Mechanisms of low-frequency fluctuations in sardine and anchovy populations. In Checkley D., Alheit J. et al. (eds), Climate change and small pelagic fish (pp. 45-63). Cambridge, UK: Cambridge University Press.), these studies have not yet been sufficient to determine the environmental aspects or mechanisms that regulate the changes in abundance and the density-dependent processes that might be involved. In fishes, changes in time and space in reproduction, namely, changes in spawning periods and spawning areas, affect growth and early stage survival because they also determine the kind of environment in which the fish populations will develop (Secor 2007Secor D.H. 2007. The year-class phenomenon and the storage effect in marine fishes. J. Sea Res. 57(2-3 SPEC. ISS.), 91-103 https://doi.org/10.1016/j.seares.2006.09.004 ). In the Japanese pacific, fluctuations in the abundance of the stock of Sardinops melanosticus were followed by changes in the spawning period (Itoh et al. 2009Itoh S., Yasuda I., Nishikawa H., et al. 2009. Transport and environmental temperature variability of eggs and larvae of the Japanese anchovy (Engraulis japonicus) and Japanese sardine (Sardinops melanostictus) in the Western North Pacific estimated via numerical particle-tracking experiments. Fish. Oceanogr. 18: 118-133. https://doi.org/10.1111/j.1365-2419.2009.00501.x , Takahashi et al. 2008Takahashi M., Nishida H., Yatsu A., Watanabe Y. 2008. Year-class strength and growth rates after metamorphosis of Japanese sardine (Sardinops melanostictus) in the western North Pacific Ocean during 1996-2003. Can. J. Fish. Aquat. Sci. 65: 1425-1434. https://doi.org/10.1139/F08-063 , Watanabe et al. 1996Watanabe Y., Zenitani H., Kimura R. 1996. Offshore expansion of spawning of the Japanese sardine, Sardinops melanostictus, and its implication for egg and larval survival. Can. J. Fish. Aquat. Sci. 53: 55-61. https://doi.org/10.1139/f95-153 , 1997Watanabe Y., Zenitani H., Kimura R. 1997. Variations in spawning ground area and egg density of the Japanese sardine in Pacific coastal and oceanic waters. Fish. Oceanogr. 6: 35-40. https://doi.org/10.1046/j.1365-2419.1997.00024.x ), which in turn changed the environment encountered by the early stages (i.e. temperature, food availability and predator evasion), which affects early growth.

This strategy of a density-dependent use of space could be a mechanism for avoiding cannibalism upon their own eggs. This also signifies that, if the appropriate conditions are met in more oceanic sites, the population could undergo a phase of expansion. Something similar happens with the anchoveta Engraulis encrasicolus in the Adriatic Sea, where apparently they seem to change their spawning centres during the reproductive period according to the favourable environmental conditions, beginning the spawning process in the northern and more shallow part of the Adriatic, where they first find the appropriate conditions for survival of the early stages of life (Zorica et al. 2018Zorica B, Čikeš Keč V, Pešić A, et al. 2018. Spatiotemporal distribution of anchovy early life stages in the eastern part of the Adriatic Sea in relation to some oceanographic features. J. Mar. Biol. Ass. U,K. 99: 1205-1211. https://doi.org/10.1017/S0025315418001145 ). Examples of periodic habitat expansion and contraction are reported in the literature for small pelagic populations in different ecosystems (Bakun 2005Bakun A. 2005. Regime Shifts. In: Robinson A.R., Brink K. (eds), The Sea, vol. 13. Harvard University Press, Cambridge, MA, pp.971-1018 (Chapter 24)., 2006Bakun A. 2006. Wasp-waist populations and marine ecosystem dynamics: Navigating the “predator pit” topographies. Prog. Oceanogr. 68: 271-288. https://doi.org/10.1016/j.pocean.2006.02.004 , Barange et al. 2009Barange M., Coetzee J., Takasuka A., et al. 2009. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. https://doi.org/10.1016/j.pocean.2009.07.027 ). These expansions have been linked to predator-prey interactions or competitive advantages, which determine or are determined by an increase in population size (Bakun 2006Bakun A. 2006. Wasp-waist populations and marine ecosystem dynamics: Navigating the “predator pit” topographies. Prog. Oceanogr. 68: 271-288. https://doi.org/10.1016/j.pocean.2006.02.004 , Barange et al. 2009Barange M., Coetzee J., Takasuka A., et al. 2009. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. https://doi.org/10.1016/j.pocean.2009.07.027 ). This density-dependent relationship assumes that the number of progenies recruited to a fishery is proportional to the number of eggs spawned until an environmental carrying capacity is reached. Departures from this relationship are density-independent and attributed to the environment. Implicitly, the stock-recruit relationship does not account for climate variability and change, although environmental terms can be added to expand this type of model (Checkley et al 2017Checkley D.M., Asch R.G., Rykaczewski R.R. 2017. Climate, Anchovy, and Sardine. Ann. Rev. Mar. Sci. 9: 469-493. https://doi.org/10.1146/annurev-marine-122414-033819 ).

In conclusion, the expansion and contraction of spawning areas in E. ringens of northern Chile depend on the abundance and size of females. Abundance is more related to extent and female size to the location of the spawning areas.

ACKNOWLEDGEMENTS

 

This study was carried out as part of the master’s in science programme of the Arturo Prat University, in the Renewable Natural Resources Faculty. We would like to thank the Instituto de Fomento Pesquero (IFOP) for giving us access to the database of the anchoveta evaluation programme.

REFERENCES

 

Alheit J., Bakun A. 2010. Population synchronies within and between ocean basins: Apparent teleconnections and implications as to physical-biological linkage mechanisms. J. Mar. Syst. 79: 267-285. https://doi.org/10.1016/j.jmarsys.2008.11.029

Alheit J., Lorenzo E. D., Rykaczewski R. R., Sundby S. 2019. Drivers of dynamics of small pelagic fish resources: environmental control of long-term changes. Deep Sea Res. Part II. 159: 1-3. https://doi.org/10.1016/j.dsr2.2018.12.005

Bakun A. 2005. Regime Shifts. In: Robinson A.R., Brink K. (eds), The Sea, vol. 13. Harvard University Press, Cambridge, MA, pp.971-1018 (Chapter 24).

Bakun A. 2006. Wasp-waist populations and marine ecosystem dynamics: Navigating the “predator pit” topographies. Prog. Oceanogr. 68: 271-288. https://doi.org/10.1016/j.pocean.2006.02.004

Barange M., Coetzee J., Takasuka A., et al. 2009. Habitat expansion and contraction in anchovy and sardine populations. Prog. Oceanogr. https://doi.org/10.1016/j.pocean.2009.07.027

Bez N. 1997. Statistiques individuelles et géostatistique transitive en écologie halieutique. Thése, Ecole Nationale Spérieure des Mines de Paris, 303 pp.

Castillo-Jordán C., Cubillos L., Paramo J. 2007. The spawning spatial structure of two co-occurring small pelagic fish off central southern Chile in 2005. Aquat. Living Resour. 20: 77-84. https://doi.org/10.1051/alr:2007018

Castillo F., Plaza G. 2016. Daily growth patterns of juveniles and adults of the Peruvian anchovy (Engraulis ringens) in northern Chile. Mar. Freshw. Res. 67: 899-912. https://doi.org/10.1071/MF15032

Checkley D.M., Asch R.G., Rykaczewski R.R. 2017. Climate, Anchovy, and Sardine. Ann. Rev. Mar. Sci. 9: 469-493. https://doi.org/10.1146/annurev-marine-122414-033819

Claramunt G., Castro L.R., Cubillos L., et al. 2012. Variaciones interanuales en aspectos reproductivos y preferencias por el sitio de desove en Engraulis ringens del norte de Chile. Rev. Biol. Mar. Oceanogr. 47: 227-243. https://doi.org/10.4067/S0718-19572012000200006

Claramunt G., Cubillos L., Castro L., et al. 2014. Variation in the spawning periods of Engraulis ringens and Strangomera bentincki off the coasts of Chile: A quantitative analysis. Fish. Res. 160: 96-102. https://doi.org/10.1016/j.fishres.2013.09.010

Claramunt, G., Cubillos, L., Herrera, G., Díaz E. 2019. Spawning marker patterns of Engraulis ringens of northern Chile. Fish. Res. 219: 105306. https://doi.org/10.1016/j.fishres.2019.06.004

Cubillos L., Arancibia H. 1993. Análisis de la pesquería de sardina común (Strangomera bentincki) y anchoveta (Engraulis ringens) del área de Talcahuano, Chile. Invest. Mar., Valparaíso 21: 3-21.

Cubillos L.A., Claramunt G. 2009. Length-structured analysis of the reproductive season of anchovy and common sardine off central southern Chile. Mar. Biol. 156: 1673-1680. https://doi.org/10.1007/s00227-009-1202-5

Cubillos L., Arcos D., Bucarey D., Canales M. 2001. Seasonal growth of small pelagic fish off Talcahuano (37°S-73°W), Chile: a consequence of their reproductive strategy to seasonal upwelling? Aquat. Living Resour. 14: 115-124.

Gutierrez M., Castillo R., Segura M., et al. 2012. Tendencias espacio-temporales en la distribución de la biomasa de anchoveta peruana y de otros peces pelágicos pequeños entre 1966 y 2009. Lat. Am. J. Aquat. Res. 40: 633-648.

Hernández C., Perez-Mora G., Díaz-Ramos E., Bohm-Stofffel G. 2013. Análisis de indicadores macro y microscópicos para establecer el periodo de máxima intensidad de desove de la anchoveta Engraulis ringens en la zona norte de Chile. Rev. Biol. Mar. Oceanogr. 48: 451-457. https://doi.org/10.4067/S0718-19572013000300004

Itoh S., Yasuda I., Nishikawa H., et al. 2009. Transport and environmental temperature variability of eggs and larvae of the Japanese anchovy (Engraulis japonicus) and Japanese sardine (Sardinops melanostictus) in the Western North Pacific estimated via numerical particle-tracking experiments. Fish. Oceanogr. 18: 118-133. https://doi.org/10.1111/j.1365-2419.2009.00501.x

McCall A. D. 2009. Mechanisms of low-frequency fluctuations in sardine and anchovy populations. In Checkley D., Alheit J. et al. (eds), Climate change and small pelagic fish (pp. 45-63). Cambridge, UK: Cambridge University Press.

Petitgas P. 1998. Biomass-dependent dynamics of fish spatial distributions characterized by geostatistical aggregation curves - ICES Journal of Marine Science 55: 443-453. https://doi.org/10.1006/jmsc.1997.0345

Secor D.H. 2007. The year-class phenomenon and the storage effect in marine fishes. J. Sea Res. 57(2-3 SPEC. ISS.), 91-103 https://doi.org/10.1016/j.seares.2006.09.004

Servicio Nacional de Pesca y Agricultura (SERNAPESCA). www.SERNAPESCA.cl

Swartzman G., Bertrand A., Gutiérrez M., et al. 2008. The relationship of anchovy and sardine to water masses in the Peruvian Humboldt Current System from 1983 to 2005. Progress In Oceanography 79. 228-237. https://doi.org/10.1016/j.pocean.2008.10.021

Takahashi M., Nishida H., Yatsu A., Watanabe Y. 2008. Year-class strength and growth rates after metamorphosis of Japanese sardine (Sardinops melanostictus) in the western North Pacific Ocean during 1996-2003. Can. J. Fish. Aquat. Sci. 65: 1425-1434. https://doi.org/10.1139/F08-063

Watanabe Y., Zenitani H., Kimura R. 1996. Offshore expansion of spawning of the Japanese sardine, Sardinops melanostictus, and its implication for egg and larval survival. Can. J. Fish. Aquat. Sci. 53: 55-61. https://doi.org/10.1139/f95-153

Watanabe Y., Zenitani H., Kimura R. 1997. Variations in spawning ground area and egg density of the Japanese sardine in Pacific coastal and oceanic waters. Fish. Oceanogr. 6: 35-40. https://doi.org/10.1046/j.1365-2419.1997.00024.x

Zorica B, Čikeš Keč V, Pešić A, et al. 2018. Spatiotemporal distribution of anchovy early life stages in the eastern part of the Adriatic Sea in relation to some oceanographic features. J. Mar. Biol. Ass. U,K. 99: 1205-1211. https://doi.org/10.1017/S0025315418001145