Introduction
⌅As
a result of climate change, warming events in the oceans are more
frequent around the world, impacting the dynamics of marine species (Santana-Falcón and Séférian 2022Santana-Falcón
Y., Séférian R. 2022. Climate change impacts the vertical structure of
marine ecosystem thermal ranges. Nat. Clim. Chang 12: 935-942. https://doi.org/10.1038/s41558-022-01476-5
). These temperature increases in the oceans generate a
fish size reduction related to the decrease in oxygen solubility, which
is needed for body tissue production (Avaria-Llautureo et al. 2021Avaria-Llautureo
J., Venditti C., Rivadeneira M.M., et al. 2021. Historical warming
consistently decreased size, dispersal and speciation rate of fish. Nat.
Clim. Chang. 11: 787-793 https://doi.org/10.1038/s41558-021-01123-5
). Fish search for areas with optimal conditions to
survive when their original environment changes, and the size of the
fishes is associated with their dispersion ability; the biggest ones
travel great geographic distances thanks to greater speed, and the
smallest ones are the most vulnerable (Avaria-Llautureo et al. 2021Avaria-Llautureo
J., Venditti C., Rivadeneira M.M., et al. 2021. Historical warming
consistently decreased size, dispersal and speciation rate of fish. Nat.
Clim. Chang. 11: 787-793 https://doi.org/10.1038/s41558-021-01123-5
). The increase in sea temperature directly affects the physiology of fish (Dahms and Killen 2023Dahms
C., Killen S.S. 2023. Temperature change effects on marine fish range
shifts: A meta-analysis of ecological and methodological predictors.
Glob. Chang. Biol. 29(16): 4459-4479. https://doi.org/10.1111/gcb.16770
). The changes in their metabolism brought about by
changes in the level of oxygen in the water and the salinity reach
lethal limits (Smyth and Mike 2016Smyth
K., Elliott M. 2016. Effects of changing salinity on the ecology of the
marine environment. In: Martin Solan, and Nia Whiteley (eds), Stressors
in the Marine Environment: Physiological and ecological responses;
societal implications. Oxford Academic, pp. 161-174. https://doi.org/10.1093/acprof:oso/9780198718826.003.0009
) and also lead to changes in their distribution (Feoma-2G 2023Feoma-2G.
2023. El impacto de la temperatura del agua en la vida marina. ¿Como
afecta la temperatura del agua en la actividad de los organismos
acuáticos en el mar? Medium [online] [Accessed on 30 September 2023]. https://medium.com/@proyectobiologiaprepa10/el-impacto-de-la-temperatura-del-agua-en-la-vida-marina-1664c4e20c5f
).
Increases in temperature constitute a
physiological load that can alter the capacity of fish and may be
relevant in particular situations (Sebastián and Bastien 2020Sebastián
A., Bastien Sadoul M.G. 2020. Temperature increase and its effects on
fish stress physiology in the context of global warming. Special Issue
review paper. J. Fish Biol. 98(6): 1496-1508. https://doi.org/10.1111/jfb.14599
). Warming increases fish growth rates, but the size
structure of the population shifts towards smaller individuals, leading
to lower fishery yields (Lindmark et al. 2022Lindmark
M., Audzijonyte A., Blanchard J.L., et al. 2022. Temperature impacts on
fish physiology and resource abundance lead to faster growth but
smaller fish sizes and yields under warming. Glob. Chang. Biol. 28(21):
6239-6253. https://doi.org/10.1111/gcb.16341
).
In the Northern Humboldt Current System
(NHCS), diverse dynamic oceanographic processes constantly occur in the
water column, generating a high climate variability at different scales:
seasonal (summer-winter), interannual (El Niño-La Niña), decadal (warm
and cold periods) and secular (high and low variability), generating
horizontal and/or vertical displacements of fish species (Espino 2014Espino
M. 2014. Patrones de variabilidad ambiental y las pesquerías en el
Pacífico Sud Este. Ph.D. thesis, Tech. Univ. Nac. Mayor de San Marcos.
Lima. 147 pp. https://hdl.handle.net/20.500.12672/3965
), whose movements vary according to the intensities of these scales. Among the most abundant species is the anchoveta (Engraulis ringens) because of its high productivity and high environmental variability (Chávez et al. 2008Chávez
F.P., Bertrand A., Guevara-Carrasco R., et al. 2008. The Northern
Humboldt Current System: Brief History, Present Status and a View
towards the Future. Prog. Oceanogr. 79(2-4): 95-105. https://doi.org/10.1016/j.pocean.2008.10.012
, Bouchón 2018Bouchón M. 2018. La pesquería de anchoveta en Perú. PhD thesis, Tech. Univ. Alicante, 131 pp. http://hdl.handle.net/10045/103709
). However, throughout 2023, El Niño interannual
variability occurred, characterized by the presence of warm waters on
the Peruvian coast that flow from north to south (Panama current) with a
strengthening of the Central American trade winds and a weakening of
the southern trade winds and the Peruvian or Humboldt current. However,
there are also two variants of the El Niño event: i) El Niño (global
ENF), the best known with worldwide consequences, is a strong event with
a temperature increase of 2°C for at least three months, and ii)
coastal El Niño (coastal ENF) is a local event that is more sudden and
of shorter duration (Takahashi 2017Takahashi,
K. 2017. Fenómeno El Niño: “Global” vs “Costero”. Boletín técnico:
Generación de información y monitoreo del Fenómeno El Niño. 4 (4): 4-7. http://hdl.handle.net/20.500.12816/5101
). However, the coastal El Niño 2023 in the NHCS was
persistent throughout most of the year and caused temporary changes in
the oceanographic environment that affected the distribution and
metabolic processes of anchoveta and other marine species, as has
occurred in previous El Niño events (Ñiquen and Bouchón 2004Ñiquen
M., Bouchón M. 2004. Impact of El Niño events on pelagic fisheries in
Peruvian waters. Deep-Sea Res. Part. II 51: 563-574. https://doi.org/10.1016/j.dsr2.2004.03.001
).
The management of anchoveta fishing activity in Peru is based on the best scientific information available, which is provided by the Instituto del Mar del Perú (IMARPE) through its continuous national research programmes on the sea and its living resources, mainly anchoveta. Due to the high environmental variability and oceanographic dynamics of the NHCS, IMARPE carried out many ambitious strategies of observation and monitoring of the sea that are uncommon in other parts of the world. Since its creation, IMARPE has demonstrated that only by increasing the frequency of observations on the dynamics of the sea and its living resources can we have more knowledge to recommend better decisions. Historically, the more uncertainty there has been off our coasts, such as El Niño, La Niña or other events, the more IMARPE has carried out observation actions at sea and on land. Anchoveta fishery management is therefore based on observations at sea obtained from scientific surveys, exploratory fishing, fishing surveys, EUREKAS operations and others, and on land by monitoring the pelagic fishery. These actions have enriched scientific knowledge on the state of the stock and the ecosystem, supporting the sustainability of anchoveta fisheries.
The objective of this study was to determine the changes in the spatial distribution of anchoveta at horizontal and vertical levels, their size structure and the oceanographic conditions of temperature, salinity and oxygen that generated these changes.
Materials and methods
⌅Study area and participating vessels
⌅The study area of investigation was in the sea of the NHCS between Tumbes and Tacna (03°33' to 18°21'S), up to a maximum distance of 100 nm from the coast. The details for each activity (Act) were as follows (Table 1):
Nro | Vessels | Length (m) | Distance (nm) | Study area | Nro | Vessels | Length (m) | Distance (nm) | Study area |
---|---|---|---|---|---|---|---|---|---|
Act 1: | Acoustic and oceanographic sampling: | Act 4: | Replica 1: | ||||||
FV Incamar 1 | 77.00 | 0-100 | Pto.Pizarro-Callao | *FV Imarpe V | 16.5 | 0-40 | Mórrope-Chimbote | ||
FV San Fernando | 41.55 | Callao-Atico | *FV Imarpe IV | 16.5 | 0-40 | Huacho-Pisco | |||
FV Tasa 425 | 43.92 | 0-100 | Pto. Pizarro-Atico | Replica 2: | |||||
Biological sampling: | *FV Imarpe V | 16.5 | 0-40 | Talara-Pimentel | |||||
FV Chira I | 32.80 | 0-100 | Pto. Pizarro-Casma | *FV Imarpe IV | 16.5 | 0-40 | Chimbote-Callao | ||
FV Juancho | 39.77 | Replica 3: | |||||||
FV Galileo | 34.60 | *FV Imarpe V | 16.5 | 0-40 | Paita-Chimbote | ||||
FV Claudia | 37.83 | *FV Imarpe IV | 16.5 | 0-40 | Casma-Pisco | ||||
FV Pisco 1 | 42.60 | 0-72 | Casma-Atico | Act 5: | Acoustic and oceanographic sampling: | ||||
FV Samanco 3 | 37.46 | FV Incamar 2 | 77.00 | 0-100 | Talara-Chala | ||||
FV Tasa 43 | 44.52 | FV Tasa 425 | 43.92 | 0-90 | Pto. Pizarro-Chala | ||||
Act 2: | 20 FV of the SNP: | 0-50 | Talara-Sama | *FV Imarpe V | 16.50 | 0-10 | I. Lobos de Tierra-Pisco | ||
FVs: Tasa 425, Ligrun, Malena, | *FV Imarpe IV | 16.50 | 0-50 | Atico-Morro Sama | |||||
Ribar IX, Andes 53, Tasa 417, | Biological sampling: | ||||||||
San Antonio 3, Tasa 41, Polar IV, | FV San Antonio III | 39.40 | 0-80 | Pto. Pizarro-Casma | |||||
Patricia, Polar VII, Dorado, | FV Don Luis | 40.00 | |||||||
Ribar XVI, Marina, Rodas, | FV Dorado | 37.57 | 0-80 | Casma-Cerro Azul | |||||
Maru and Tasa 44. | FV San Judas II | 48.10 | |||||||
4 FVs of ANAP: | FV Costa Brava | 37.46 | 0-80 | Cerro Azul-Chala | |||||
**FVs: Jagui, Milagros de Chalpon I, | 0-10 | Talara-Callao | FV Tasa 417 | 38.75 | |||||
Pontevedra and María Mercedes | **FV Milagrosa Concepción II | 15.85 | 0-40 | Paita-Chimbote | |||||
Act 3: | FV Imarpe V | 16.50 | 0-10 | Morro Sama-Paita | **FV María Mercedes | 22.58 | Chimbote-Callao | ||
FV Andes 53 | 63.05 | 10-40 | Atico-Pta. La Negra | ||||||
FV Tasa 44 | 44.70 | 10-40 | San Juan-Talara | ||||||
FV Ribar IX | 58.19 | 10-40 | Atico-Talara | ||||||
FV Tasa 43 | 44.52 | 10-40 | Atico-Talara | ||||||
FV Pontevedra | 20.30 | 0-15 | Chimbote-Chicama |
The
FVs belong to the SNP, the *FVs belong to IMARPE and the **FVs belong
to ANAP Law 26920. **FVs IMARPE conducted acoustic, oceanographic and
biological sampling.
-
Act 1: Survey 2302-03 of Hydroacoustic Evaluation of Anchoveta and Other Pelagic Resources, carried out between 22 February and 24 March in the north-central zone of Puerto Pizarro to Atico (03°30' to 16°03'S) with a coverage of 77340 nm2. The following fishing vessels (FV) of the National Fisheries Society (SNP) participated: FV Incamar 1 and FV Tasa 425 for acoustic and oceanographic sampling; and FV Chira I, FV Juancho, FV Galileo and FV Claudia to carry out fishing sets (biological sampling). The biological sampling vessels were replaced in Casma by the following: FV Pisco 1, FV Samanco 3 and FV Tasa 43. FV Incamar 1 was replaced in Callao by FV San Fernando.
A hydroacoustic assessment survey provides information on the biomass, distribution and biological aspects of the main pelagic species, as well as an update on oceanographic conditions.
-
Act 2: Operation Eureka LXXIV carried out from 17 to 21 April 2023, in the Talara to Morro Sama area (04°34' to 18°21'S) with the participation of 20 vessels (16 industrial steel vessels and 4 industrial wooden vessels).
Operation Eureka is a rapid investigation that involves many vessels to determine qualitative distribution and sizes, in this case of anchoveta.
-
Act 3: Hydroacoustic Survey and Other Coastal Resources 2304-06 carried out from 27 April to 1 June 2023 between Morro Sama and Paita (18°21' to 05°00'S), with the participation of FV Imarpe V and 4 FV of the SNP between Atico and Talara (16°03' to 04°34'S) and one wooden FV of the Asociación Nacional de Armadores Pesqueros Ley 26920 (ANAP) between Chimbote and Chicama (09°05' to 07°48'S).
This type of survey is similar to Act 1.
-
Act 4: Monitoring of the Biological-Fisheries Aspects of Anchoveta 2307-08, carried out by FV Imarpe V and FV Imarpe IV in three replicates between 14 July and 19 August 2023IMARPE. 2023a. Informe ejecutivo interno del Crucero 2302-03 de Evaluación Hidroacústica de Anchoveta y Otros Recursos Pelágicos. Puerto Pizarro-Atico. Inf. Inst. Mar Perú. 61 pp.
in selected areas. The first replica (Act 4: Replica 1) was between Mórrope and Chimbote (06°30' to 09°05'S) and Huacho and Pisco (11°16' to 13°42'S); the second replica (Act 4: Replica 2) between Talara and Pimentel (04°34' to 06°47'S) and Chimbote and Callao (09°05' to 12°03'S); and the third replica (Act 4: Replica 3) between Paita and Chimbote (05°00' to 09°05'S) and Casma and Pisco (09°31´-13°42´S).The purpose of monitoring is to determine the distribution and biological aspects of a species, in this case anchoveta.
-
Act 5: Survey 2309-11 of Hydroacoustic Evaluation of Anchoveta and Other Pelagic Resources carried out between 20 September and 4 November 2023. The survey was carried out between Puerto Pizarro and Sama (03°30' to 18°21'S) with the participation of FV Incamar 2 and FV Tasa 425 for acoustic and oceanographic sampling, and FV San Antonio and FV Don Luis for biological sampling, (between Puerto Pizarro and Casma); FV Dorado and FV San Judas II (between Casma and Cerro Azul); and FV Costa Brava and FV Tasa 417 (between Cerro Azul and Chala). FV Imarpe V worked between Lobos de Tierra and Pisco (06°25' to 13°42´S) and FV Imarpe IV between Atico and Morro Sama (16°03' to 18°21'S). Two ANAP wooden vessels from Law 26920 also participated in the area between Paita and Chimbote (05°00' to 09°05'S) (FV María Mercedes II and FV Milagrosa Concepción II).
This type of survey is similar to Act 1.
Acoustic equipment
⌅The acoustic sampling vessels were each equipped with a SIMRAD EK 80 multi-frequency scientific echosounder (frequencies: 38 and 120 kHz). This equipment was installed on the port side of the vessels. In the case of the FV Imarpe IV, a SIMRAD model EY 60 scientific echosounder (120 kHz frequency) was installed. These echosounders were calibrated prior to each activity. In Act 2 (Operation Eureka) it was not necessary to calibrate because different echo sounder models were used.
Sampling design
⌅The
sampling design for the scientific activities was mainly systematic,
consisting of transects perpendicular to the coastline and parallel to
each other (Simmonds and MacLennan 2005Simmonds J., MacLennan D. 2005. Fisheries Acoustics: Theory and Practice. Blackwell Science. 436 pp. https://doi.org/10.1002/9780470995303
), with a separation of 10 nm in survey 2302-03 and 15
nm in survey 2309-11. The distance of the transects was determined
according to the planning of each activity, but it was taken into
consideration that this distance could vary according to the presence or
absence of pelagic resources (mainly anchoveta), adverse conditions
arising from bad weather or breakdowns in the vessel, as described in
the acoustic protocol by Castillo et al. (2011)Castillo
P.R., Peraltilla S., Aliaga A., et al. 2011. Protocolo técnico para la
evaluación acústica de las áreas de distribución y abundancia de
recursos pelágicos en el mar peruano. Versión 2009. Instituto del Mar
del Perú. 36(1-2): 7-28. https://hdl.handle.net/20.500.12958/2001
.
The “zigzag” design was used in Act 4 Replica 3, as well as a complement in the 8 nm coastal strip of Act 2 and Act 5.
Fishing sets
⌅The fishing gear used by the IMARPE vessels were Granton-type pelagic trawls with a vertical opening of 6 m for FV Imarpe IV and FV Imarpe V, with an effective trawling time between 8 and 25 min. The FVs that participated mainly for biological sampling used 13 mm mesh size anchovetera purse seines. The total number of fishing hauls made in the five activities were 240, 93, 211, 250 and 182, respectively.
Data processing
⌅Acoustic data
⌅The
acoustic data post-processing is described in the “Protocol for action
in the collection of data during a pelagic hydroacoustic survey” (Castilloet al. 2011Castillo
P.R., Peraltilla S., Aliaga A., et al. 2011. Protocolo técnico para la
evaluación acústica de las áreas de distribución y abundancia de
recursos pelágicos en el mar peruano. Versión 2009. Instituto del Mar
del Perú. 36(1-2): 7-28. https://hdl.handle.net/20.500.12958/2001
). Echo-trace identification was carried out using the
EchoView software (Myriax software Pty Ltd), with which the detected
species were identified according to catch composition of the fishing
set, type of echo-trace and multi-frequency analysis (i.e. acoustic
frequency response graphs of schools) (La Cruz et al. 2017La
Cruz L., Castillo R., Robles J., et al. 2017. Pelagic species
identification using multifrequency acoustic in the Northern Humboldt
Current System off Peru. IEEE/OES Acoustics in Underwater Geosciences
Symposium (RIO Acoustics). https://doi.org/10.1109/rioacoustics.2017.8349744
, Castilllo et al. 2011Castillo
P.R., Peraltilla S., Aliaga A., et al. 2011. Protocolo técnico para la
evaluación acústica de las áreas de distribución y abundancia de
recursos pelágicos en el mar peruano. Versión 2009. Instituto del Mar
del Perú. 36(1-2): 7-28. https://hdl.handle.net/20.500.12958/2001
, Simmonds and MacLennan 2005Simmonds J., MacLennan D. 2005. Fisheries Acoustics: Theory and Practice. Blackwell Science. 436 pp. https://doi.org/10.1002/9780470995303
).
In the horizontal distribution plots, inertia
was added, which is a measure of the dispersion of the population
around its centre of gravity, that is, the root means square distance
between the individual fish and the centre of gravity of the
distribution (Bez and Rivoirard 2001Bez
N., Rivoirard J. 2001. Transitive geostatistics to characterize spatial
aggregations with diffuse limits: an application on mackerel
ichtyoplankton. Fish. Res 50(1-2): 41-58. https://doi.org/10.1016/S0165-7836(00)00241-1
, Woillez et al. 2007Woillez
M., Poulard J-C., Rivoirard J., et al. 2007. Indices for capturing
spatial patterns and their evolution in time, with application to
European hake (Merluccius merluccius) in the Bay of Biscay. ICES J. Mar. Sci. 64(3): 537-550. https://doi.org/10.1093/icesjms/fsm025
). The data from the Nautical Area Scattering Coefficient (NASC) values of the anchoveta were used. The formulation is:
where zi is the NASC value of anchoveta, xi is the point in space (latitude or longitude) of the sample and 𝐶𝐺 is the centre of gravity. The inertia is constituted by an ellipse with a larger diameter (latitudinal) and a smaller diameter (longitudinal).
The vertical distribution of schools was made from mean depths, obtained from region exports in the EchoView software and plotted in the R program by degree of latitude or by time of day. The vertical distribution of abundance was by Sv values. To obtain the best description of the schools in the water column (Sv), the outliers were not considered. These outliers were determined by box plot scanning and comparison of means and medians. The Sv is the strength of the acoustic backscatter volume expressed in decibels referred to 1 metre (dB re 1 m–1), given by the following formula:
where Sv is the coefficient of the acoustic backscattering volume expressed in m–1,
given by Sv = Σ𝜎𝑏𝑠/𝑉 , which is the summation of all discrete
targets (or also of the acoustic backscattering cross section 𝜎𝑏𝑠)
in the volume 𝑉 (MacLennan et al. 2002MacLennan
D.N., Fernandes P.G., Dalen J. 2002. A consistent approach to
definitions and symbols in fisheries acoustics. ICES J. Mar. Sci. 59:
365-369. https://doi.org/10.1006/jmsc.2001.1158
).
Oceangraphic data
⌅Oceanographic sea surface temperature (SST) data were collected from the Operational Sea Surface Temperature and Ice Analysis (OSTIA) which provides daily maps at 0.05°×0.05° (1/20°) horizontal resolution, using in situ and satellite data from infrared and microwave radiometers. SST anomalies were calculated on the basis of Pathfinder climatology at a horizontal resolution of 0.25°×0.25° (1/4°) for the period 1991-2020.
As part of the analysis procedure, a bias estimate was performed on each of the contributing satellite sensors. This is done by calculating pairings between each satellite sensor and a reference data set (currently consisting of the in situ data and a subset of the MetOp AVHRR satellite data). These differences were then fed into an optimal interpolation procedure to produce gridded polarization fields at each sensor. OSTIA uses satellite data provided by the GHRSST project along with in situ observations to determine SST. For more information, see: http://ghrsst-pp.metoffice.gov.uk/ostia-website/index.html.
For
the vertical oceanographic data, the Chicama section was considered
because it is the most important area for the abundance of anchoveta and
the one most impacted by an El Niño event. The sections close to the
dates of each scientific activity were considered. The methodologies are
described in IMARPE (2023a)IMARPE.
2023a. Informe ejecutivo interno del Crucero 2302-03 de Evaluación
Hidroacústica de Anchoveta y Otros Recursos Pelágicos. Puerto
Pizarro-Atico. Inf. Inst. Mar Perú. 61 pp.
and IMARPE (2023b)IMARPE.
2023b. Informe interno del Crucero 2309-11 de Evaluación Hidroacústica
de Anchoveta y Otros Recursos Pelágicos. Puerto Pizarro-Morro Sama. Inf.
Inst. Mar Perú. 55 pp.
. The characteristics of the water masses in the NHCS are described in Zuta and Guillén (1970)Zuta S., Guillén O. 1970. Oceanografía de las aguas costeras del Perú. Bol. Inst. Mar Perú 2(5): 157-324.
, Grados et al. (2018)Grados
C., Chaigneau A., Echevin V., et al. 2018. Upper ocean hydrology of the
Northern Humboldt Current System at seasonal, interannual and
interdecadal scales. Prog. Oceanogr. 165: 123-144. ISSN 0079-6611, https://doi.org/10.1016/j.pocean.2018.05.005
.
Biological data
⌅Biological
data on the size structure of anchoveta were collected from the fishing
hauls conducted in each scientific activity. The size structure was
weighted according to the NASC values of anchoveta (three values before
and after each set with anchoveta present), described in IMARPE (2023a)IMARPE.
2023a. Informe ejecutivo interno del Crucero 2302-03 de Evaluación
Hidroacústica de Anchoveta y Otros Recursos Pelágicos. Puerto
Pizarro-Atico. Inf. Inst. Mar Perú. 61 pp.
and IMARPE (2023b)IMARPE.
2023b. Informe interno del Crucero 2309-11 de Evaluación Hidroacústica
de Anchoveta y Otros Recursos Pelágicos. Puerto Pizarro-Morro Sama. Inf.
Inst. Mar Perú. 55 pp.
.
Results
⌅Anchoveta spatial distribution: centre of gravity and inertia
⌅In general, the horizontal distribution of the anchoveta was clearly coastal throughout the year, reaching its greatest longitudinal distance up to 66 nm from the coast, as recorded in Act 1 (survey 2302-03). In Act 2 it was recorded up to 50 nm offshore and in Act 3 up to 40 nm offshore. In Act 4 in replicate 1 it recorded up to 40 nm from the coast, in replicate 2 up to 28 nm from the coast and in replicate 3 up to 42 nm from the coast. Finally in Act 5 (survey 2309-11) it was recorded up to 60 nm from the coast. Another characteristic of its spatial distribution is that it is highly variable, structured and dependent in space and time: i.e. the distribution constantly varied in terms of weeks, in its distribution structure it had high concentrations that were located in different zones of its distribution, and it had continuity along the coast, that is, it had positive spatial autocorrelation in which the latitudinal probability of finding a school was high due to the characteristics of its habitat.
The centre of gravity was variable due to the displacements made by the anchoveta as a result of oceanographic conditions. The centre of gravity in the activities studied did not show trends towards the south, indicating that there was not a strong migration towards this region due to the presence of warm waters, except in Act 2, which was in front of Chancay.
Inertia was wide in Act 2 due to the larger longitudinal diameter resulting from the presence of anchoveta, which was recorded in several areas up to 50 nm offshore in the north between Pimentel and Pacasmayo and in the south between Chala and Atico. Another distribution with considerable inertia was found in Act 5, in which anchoveta was recorded up to 60 nm offshore between Salaverry and Casma, with records of high concentrations retracted to the coast, in both the north and south. The narrow ellipses with reduced longitudinal diameters indicated that the highest abundances of anchoveta had retreated towards the coast, as recorded in Act 1, Act 4 (in the three replicates) and Act 3. In the penultimate activity (Act 4), the replicates were conducted in selected areas (Fig. 1) mentioned above and all showed a distinctly shoreward distribution (ellipses with narrow longitudinal diameters).
Anchoveta vertical distribution
⌅The vertical distribution of anchoveta was variable, fluctuating in the activities carried out: i) in Act 1 it was recorded up to 99.61 m, the deepest schools being between Paita and Pacasmayo. ii) in Act 2 it was found up to 115.12 m, the deepest schools being recorded on a large part of the coast located in Sechura, Callao-Punta Bermejo, Pisco and Atico-Quilca; iii) in Act 3 it was recorded up to 190.41 m, the deepest schools being detected between Paita and Pucusana; iv) in Act 4, three replicates were carried out in two selected areas, the first recording to depths of 124.50 and 139.75 m, the second to depths of 98. 54 and 119.91 m and the third to depths 127.53 and 142.24 m depth; v) in Act 5 schools of anchoveta were detected up to 127.69 m depth, with the deepest schools being recorded in two areas, the first between Chicama and Salaverry and the second between Atico and Quilca.
However, when the school regrouping was analysed by time of day, we noticed that the anchoveta in 2023 had a nictemeral behaviour; that is, during the day they were found at greater depths and at night mainly in the surface layer of 40 m. The details of this behaviour are as follows: In Act 1 there were some schools located up to 99.61 m, then in Act 2 the depth increased, reaching 190.41 m depth in Act 3 and 127.69 m in Act 5. This temporary vertical displacement behaviour (Fig. 2) was due to the oceanographic conditions present in the coastal waters, which led the anchoveta to ascend to the surface layer to feed at night.
Oceanographic conditions in the activities carried out
⌅At surface level
⌅In January, there were negative anomalies, mainly south of Paita, corresponding to cold environments. In February, warm conditions were recorded in the northern zone (the Niño 1+2 region), which expanded in front of Peru, associated with the projection of temperatures higher than 22°C towards the south, and this warming intensified, reaching anomalies of up to +4°C between Paita and San Juan de Marcona after a fortnight in March, when Act 1 was ending in the south.
In the first weeks of April, the maximum warming was recorded, with anomalies of +7°C in Paita. In the last week of April, Act. 2 was started. Starting in May, the positive anomalies gradually declined associated with the northward and westward retreat of waters above 25°C towards the coast, but high temperatures were maintained, with anomalies of up to +4°C until September in the area between Tumbes and San Juan de Marcona. Under these conditions, Act 3 and Act 4 were carried out, and the anchoveta was found to have retreated towards the coast.
Starting in the second half of September, the SST in the coastal marine area began to decrease and showed a wide distribution of temperatures between 18° and 20°C, indicating a significant decrease in warming with a predominance of +1°C anomalies recorded until December 2023, thus indicating the transition of El Niño from strong to moderate category according to reports of the Coastal El Niño Index (ICEN). Under these conditions Act 5 was performed.
It should also be noted that between May and December 2023 (Fig. 3) there was a greater number of arrivals of warm Kelvin waves off South America that were associated with the occurrence of the El Niño episode in the Ecuadorian Pacific, which allowed positive SST anomalies to be maintained on the Peruvian coast.
At subsurface level
⌅The structure of the water column off Chicama changed over time according to the evolution of El Niño 2023. In March, a well stratified thermocline was observed above 50 m depth, associated with positive thermal anomalies of up to +3°C; however, in the 50 to 100 m thermocline, slight negative anomalies were maintained, and the warming process increased, showing warm conditions throughout the water column in April. In May, the thermal increase continued, reaching anomalies of more than +6°C, although below 100 m the thermal conditions normalized. In July, the warm conditions again expanded throughout the column, but with lower temperatures and anomalies (+4°C) due to the decline of the warm event. In October, temperatures decreased, but the warm condition was maintained in the water column, with anomalies greater than +1°C above 120 m and between +05°C and 1°C between 120 and 250 m depth.
The haline structure also showed major changes due to the unusual presence of the equatorial surface waters (ESW) in this area, with mixing processes observed in March between this water mass and the sea surface water (SSW) and coastal cold water (CCW).
In April the presence of these water mixing processes was evident above 50 m throughout the section, but in May they retreated to the west, remaining outside 25 nm and above 60 m, On the other hand, in July the SSW prevailed above 180 m depth. Subsequently, in October the mixing processes (SSW and CCW) dominated over 100 m, with an SSW cell over 15 m outside the 30 nm and a greater influence of the CCW in the coastal zone.
In March, anchoveta were found in oxygenated waters located close to the coast up to 18 nm, reaching a depth of 60 m. In April, they maintained its vertical distribution up to 82 m depth and up to 27 nm of the coast, in oxygenated waters. The oxygen minimum zone (OMZ at 0.5 mL L–1) was found to be located between 120 m (at 100 nm) and 220 m (platform). In May, the water column above 120 m continued to be oxygenated, with anchoveta recorded up to 120 m within 26 nm offshore. However, within 60 nm below 120 m, oxygen levels decreased, making the OMZ 20 to 40 m shallower than in April. In July, the oxygenated layer expanded, showing concentrations of 2 mL L–1 up to 180 m, and anchoveta were recorded up to 108 m depth between 5 and 38 nm from the coast. In October this layer decreased, so the OMZ was located around 130 m and anchoveta were recorded up to 128 m depth in the coastal strip of 50 nm, as shown in Figure 4.
The behaviour of the isotherms in the coastal zone and that of the iso-oxygen isotherms suggest that upwelling processes were active in all the periods analysed. However, the upwelling water corresponded to mixing waters (ESW, ASW and CCW) until before May, then it corresponded to SSW in July and mixing (SSW and CCW) in October.
In a Hovmöller diagram in the Chicama area in 2023 (Fig. 5), it was observed that the OMZ value deepened in mid-March, reaching 230 m depth by the end of May, and then rose to 120 m in the first days of August. The OMZ value deepened again to 180 m depth by the end of September, ascended again by the end of October, and then declined by the end of December 2023. This vertical behaviour of oxygen was observed in a large part of the Peruvian coast, and the vertical distribution of the total schools of each activity showed that this deepening of the anchoveta was located in oxygenated waters. In Act 3 and Act 4 the highest abundances were recorded between 75 and 120 m depth, while in Act 1, Act 2 and Act 5 they were recorded in shallower area.
Anchoveta size structure
⌅The anchoveta sizes observed during 2023 fluctuated between 3.0 and 15.5 cm total length (TL). In Act 1 the individuals were between 3.5 to 15.5 cm TL with a main mode at 6.5 cm and a secondary one at 8.0 and 11.5 cm TL, and 82% in number were smaller than the minimum size. These individuals were growing, as observed through the activities at sea carried out from summer (Act 1) to spring (Act 5) at the end of the austral year. In Act 2, the changes observed in Act 1 were confirmed by the decrease in the availability of adults and the increase in juveniles (85%). Subsequently, in Act 3 and Act 4 an increase in the high incidence of juveniles was observed, with more than 90% in number. Finally, in Act 5, the sizes fluctuated between 6.0 and 15.5 cm TL, with a trend at 11.5 cm TL and the number of individuals below the minimum size decreased to 67%. It should be noted that this mainly unimodal structure (mode at 11.5 cm TL) was formed by individuals of approximately 1.0 years old born in the reproductive process of winter-spring 2022. Likewise, we observed the absence of individuals with a mode at 8.0 cm TL (approximately half a year old) that must have come from the Act 1 spawning of 2023 (Fig. 6). It is likely that the spawning was impacted by the 2023 El Niño event.
Discussion
⌅Marine
species, particularly anchoveta, have always suffered impacts from
anomalous warm events in the NHCS such as those that occurred in El Niño
events of strong or extraordinary intensity in 1972, 1982-83 (Espino 1999Espino
M. 1999. ”El niño 1997-98”: Su efecto sobre el ambiente y los recursos
pesqueros en el Perú. Rev. Peruana Biol. 6(3): 97-109. https://doi.org/10.15381/rpb.v6i3.8435
), 1997-98 (Ñiquen and Bouchón 2004Ñiquen
M., Bouchón M. 2004. Impact of El Niño events on pelagic fisheries in
Peruvian waters. Deep-Sea Res. Part. II 51: 563-574. https://doi.org/10.1016/j.dsr2.2004.03.001
) and 2015-2016. Bouchón (2018)Bouchón M. 2018. La pesquería de anchoveta en Perú. PhD thesis, Tech. Univ. Alicante, 131 pp. http://hdl.handle.net/10045/103709
and Peña Tercero (2019)Peña Tercero C.L. 2019. Eventos El Niño y su impacto en la pesquería de anchoveta en Perú. Master Univ. Alicante. 53p. http://hdl.handle.net/10045/112564
mentioned that these events affect the physiological
state and reproduction of the anchoveta due to increased temperature,
food quality and intraspecific competition for the scarce refuges
available near the coast. The increase in temperature throughout the
year 2023 caused i) horizontal displacements towards the coastal strip
due to the approach of SSW, and ii) vertical displacements of up to
190.41 m of the schools of anchoveta, as recorded in April and May (Act
3), as a consequence of the deepening of the OMZ (Casma-Cerro Azul),
which allowed this depth to be reached. Espino (1999)Espino
M. 1999. ”El niño 1997-98”: Su efecto sobre el ambiente y los recursos
pesqueros en el Perú. Rev. Peruana Biol. 6(3): 97-109. https://doi.org/10.15381/rpb.v6i3.8435
mentioned that in El Niño 1997-98 the anchoveta was
found below 100 m depth in the months of December 1997 and January 1998,
and Gutiérrez (1997)Gutiérrez M. 1997. Informe del Crucero Bio-Oceanográfico 9707-08. Informe interno DGIP-IMARPE.
mentioned that in El Niño 1997-98 anchoveta reached mainly between 90
and 150 m depth between Callao and San Juan de Marcona at the beginning
of August 1997.
The vertical distribution of the schools of
anchoveta were recorded at greater depths in the El Niño 2023-2024 event
than in the last El Niño events of strong or extraordinary magnitude (Fig. 7) mentioned by the ICEN with. However, the anchoveta did not always remain at this depth; in Figure 2 of the vertical distribution by time of day, it was observed that in
the evening hours they ascended to the surface layer of approximately 40
m to feed and then went deeper during the day, an unusual nictemeral
behaviour for the anchoveta that is similar to that of other mesopelagic
species such as the Vinciguerria and myctophids. Castillo et al. (2022)Castillo P.R., Peña C., Grados D., et al. 2022. Characteristics of anchoveta (Engraulis ringens)
schools in the optimum zone and the physiological stress zone of its
distribution between 2011 and 2021. Fish. Oceanogr. 31: 510-523. https://doi.org/10.1111/fog.12601
mentioned that anchoveta schools with TL larger than
10 cm are those found in the zone of physiological stress both
longitudinally (away from the coast) and vertically (near the bottom).
This vertical behaviour was observed in the activities carried out in
2023, making the population inaccessible to the fishing fleet purse
seine nets.
Despite
the impact of warm conditions on the usual behaviour of the anchoveta
in 2023, it maintained its own characteristics, described in Castillo et al. (2019)Castillo
R., Dalla Rosa L., García Díaz W., et al. 2019. Anchovy distribution
off Peru in relation to abiotic parameters: A 32‐year time series from
1985 to 2017. Fish Oceanogr. 28(4): 389-401. https://doi.org/10.1111/fog.12419
, such as i) continuity in its latitudinal
distribution along the coast with characteristics of spatial
autocorrelation, ii) structuring with hotspots or areas of high
concentration in its distribution, and iii) high variability in their
spatio-temporal distribution due to continuous environmental changes or
the dynamics of the NHCS.
Anomalous event such as El Niño generate
physiological changes in the anchoveta related to its body condition,
spawning intensity, recruitment, feeding and migratory behaviour, which
were studied between 1977 and 1979 during the ICANE programme, described
in Dickie and Valdivia (1981)Dickie
L.M., Valdivia J.E. 1981. Informe sumario, investigación cooperativa de
la anchoveta y su ecosistema - ICANE Entre Perú y Canadá. Bol. Inst.
Mar Perú, Vol. Extraordinario I-XXIII.
, Morón and Sarmiento (2001)Morón
O., Sarmiento M. 2001. Aspectos oceanográficos de El Niño 1997-98 y su
relación con los recursos pelágicos, en El Niño en América Latina, sus
impactos biológicos y sociales: Bases para un Monitoreo Regional.
Consejo Nacional de Ciencia y Tecnología. Lima, 5, 28.
.
However, these temporary physiological changes will affect the
anchoveta population depending on the magnitude and intensity of the
event and the fishery regulation measures.
Regarding oceanographic
conditions in the NHCS, the Technical Report of the National Study of
the El Niño Phenomenon (ENFEN) reported an ICEN of –0.29 in January
2023, considering a neutral condition (Enfen 01, 2023ENFEN
01. 2023. Comisión Multisectorial Encargada del Estudio Nacional del
Fenómeno “El Niño” (ENFEN), 2022. Informe Técnico ENFEN. Año 9, N°1,
enero de 2023, 42 pp.
), according to the rates of Takahashi et al. (2014)Takahashi
K., Mosquera Vásquez K.A., Reupo J. 2014. El Índice Costero El Niño
(ICEN): Historia y actualización. Boletín técnico: Generación de
información y monitoreo del Fenómeno El Niño. 1 (2): 8-9. http://hdl.handle.net/20.500.12816/4639
and Takahashi and Reupo (2015)Takahashi
K., Reupo J. 2015. Índice Costero El Niño (ICEN) con nueva fuente de
datos. Boletín técnico: Generación de modelos climáticos para el
pronóstico de la ocurrencia del Fenómeno El Niño. 2(6): 9-10. http://hdl.handle.net/20.500.12816/5062
. Also, in February 2023, the LABCOS indexes mentioned by Quispe and Vásquez (2015)Quispe
J., Vásquez L. 2015. Índice “LABCOS” para la caracterización de evento
El Niño y La Niña frente a la costa del Perú, 1976-2015. Bol. Trim.
Oceanogr 1(1-4): 14-18. https://hdl.handle.net/20.500.12958/2957
indicated a shift from a neutral to a warm condition,
and then in May the maximum ICEN value of +3.54 was considered a strong
magnitude El Niño event. In general, El Niño reached a strong category
in the May-July quarter (ICEN+2.94), very strong (LABCOS +3.46) with a
maximum expression in July, and a decline until November. The technical
reports and communiqués from the continuous monitoring of El Niño in
2023 allowed marine activities not foreseen for this year to be carried
out and allowed fishery management decisions to be recommended.
The results obtained in the biometric sampling of the size structure (Fig. 6)
observed in Act 1 showed a growth coherence with the size structure
observed in Act 5 if we add to these activities the fishing operations
and data from the survey of Spawning Biomass Assessment of Anchoveta
(survey 2308-09) by the egg production method also show coherence with
the sizes. In all activities, no groups of specimens larger than 14-15
cm were observed. In the fishing operations carried out by the
industrial and artisanal fleets, the structure was generally larger than
in the research activities due to the selectivity of the school
catches, generally those of higher reflectivity, which generate adult
specimens and are made up of dense echotraces (IMARPE 2022IMARPE. 2022. Situación del stock norte-centro de la anchoveta peruana (Engraulis ringens) al 01 de noviembre y perspectivas de explotación para la Segunda temporada de pesca de 2022. Inf. Inst. Mar Perú. 48 pp.
). Goicochea and Arrieta (2008)Goicochea
C., Arrieta S. 2008. Variaciones en el crecimiento de la anchoveta
peruana expresadas en los radios de los otolitos. Inf. Inst. Mar Perú.
35(3): 241-245. https://hdl.handle.net/20.500.12958/1974
, mentioned that during an El Niño event the TL is less than it is in a normal year. Some researchers such as Atkinson (1994)Atkinson D. 1994. Temperature and organism size—A biological law for ectotherms? Adv. Ecol. Res. 25(1): 1-58. https://doi.org/10.1016/S0065-2504(08)60212-3
and Ohlberger (2013)Ohlberger
J. 2013. Climate warming and ectotherm body size - From individual
physiology to community ecology. Funct. Ecol. 27: 991-1001. https://doi.org/10.1111/1365-2435.12098
mention that individuals of fish farmed in warmer
temperatures develop faster and mature earlier but reach smaller adult
body sizes. Also, Avaria-Llautureo et al. (2021)Avaria-Llautureo
J., Venditti C., Rivadeneira M.M., et al. 2021. Historical warming
consistently decreased size, dispersal and speciation rate of fish. Nat.
Clim. Chang. 11: 787-793 https://doi.org/10.1038/s41558-021-01123-5
mention that fish are adapting to the increase in sea
temperature at an average rate of 0.8°C per million years, that this
puts them at double risk due to climate change and overfishing, which
are causing a reduction in the body size of fish, and that in the long
term their biomass is decreasing. They mention that every time fishes
experience high temperature they decrease in size as an adaptation and
survival mechanism in response to the increase in high temperatures. Brett and Groves (1979)Brett J.R., Groves T.D.D. 1979. 6-Physiological energetics. Fish Physiol. 8: 279-352. https://doi.org/10.1016/S1546-5098(08)60029-1
also mention that with an increase in sea
temperature, fish prioritize their energy (fat reserves) in the
following order: survival (basal maintenance), locomotion (movement),
reproduction (spawning) and growth (body size). In these situations, it
is likely that an increase in temperature can influence the size of the
anchoveta in the NHCS, and more studies would have to be carried out to
confirm the findings of these authors.
We believe that, in the activities carried out in 2023, a fraction of the adult anchoveta population found near the bottom were not caught due to the inaccessibility of the fishing nets and that they were not sampled to obtain their biometric measurements.
Bouchón (2018)Bouchón M. 2018. La pesquería de anchoveta en Perú. PhD thesis, Tech. Univ. Alicante, 131 pp. http://hdl.handle.net/10045/103709
and Peña Tercero (2019)Peña Tercero C.L. 2019. Eventos El Niño y su impacto en la pesquería de anchoveta en Perú. Master Univ. Alicante. 53p. http://hdl.handle.net/10045/112564
also mention that after the warm events that occurred
in the NSCH, the recovery of the anchoveta population was fast, due to
its response to the normalization of environmental conditions that
decreased its mortality. We believe that the adaptability of the
anchoveta to the dynamic environmental conditions of the NHCS and its
conservation strategy in the face of warm events of intensity and
magnitude lower than “extraordinary” determines its resilience and
continuity in the ecosystem, as partly mentioned by Castillo et al. (2019)Castillo
R., Dalla Rosa L., García Díaz W., et al. 2019. Anchovy distribution
off Peru in relation to abiotic parameters: A 32‐year time series from
1985 to 2017. Fish Oceanogr. 28(4): 389-401. https://doi.org/10.1111/fog.12419
, and that the measures adopted for its fishing extraction will determine its sustainability.
Conclusions
⌅During the 2023 El Niño event, the horizontal distribution of the anchoveta was mainly coastal due to the advance of warm waters towards the west and north coast, with greater intensity or retreat between the months of April and August, which were also observed in the inertia of the distribution in the various activities. Due to the advance of the warm water masses and the deepening of the OMZ, the anchoveta made vertical displacements, reaching up to 190.41 m depth between April and May.
In 2023 the anchoveta maintained its usual characteristics of positive spatial autocorrelation due to the continuity along the coast, structured by the high concentration cores and variable in time because of the characteristics of the NHCS. The size structure of anchoveta was consistent throughout the year. Observations in the summer survey reflected higher growth in the spring survey, but body growth was slowed.
The anchoveta adapts to the dynamic oceanographic conditions of the NHCS and its conservation strategy through horizontal and vertical movements, determining its continuity and resilience in the ecosystem.
Acknowledgements
⌅Our special thanks are due to the researchers who participated in the marine activities of anchoveta research carried out in 2023 and to the fishing industry for making their vessels available to meet the proposed objectives.
Funding sources
⌅The manuscript had no sources of funding.
Authors’ contribution statement
⌅Pedro Ramiro Castillo: Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Supervision, Writing – review and editing. Marilú Bouchón: Writing – review and editing. Luis Vásquez: Writing – review and editing. Gustavo Cuadros: Software, Graphics. Daniel Grados: Supervision, Methodology, Software, Review. Carlos Valdez: Software, Graphics. Marissela Pozada-Herrera: Software, Graphics.