Trends in spatio temporal distribution of Peruvian anchovy and other small pelagic fish biomass from 1966 2009

Gutiérrez, Mariano; Castillo, Ramiro; Segura, Marceliano; Peraltilla, Salvador; Flores, Miguel

doi:10.3856/vol40-issue3-fulltext-12

Cited by 30 publications

(38 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The ratio between transmitted and reflected energy is the nautical area scattering coefficient (NASC) expressed in m 2 /nm 2 and was obtained down to 500 m depth. Elementary distance sampling units (EDSUs) were calculated for one nautical miles from 1985 to 1993 and for two nautical mile between 1994 and 2017 according to FAO recommendations (Gutiérrez et al., ).…”

Section: Methodsmentioning

confidence: 99%

“…Bertrand et al. () and Gutiérrez, Castillo, Segura, Peraltilla, and Flores () detected that physical and chemical variability of the oceanographic system influences the abundance of anchoveta. The variability of distinct water masses, particularly the cold coastal waters (CCW), influences the anchoveta density despite the total stock of the population (Swartzman et al., ).…”

Section: Introductionmentioning

confidence: 99%

“…We studied the influence of oceanographic parameters, mainly temperature, salinity, and oxygen, on the distribution of anchovy in different seasons and investigated environmental conditions before and after the very strong El Niño event in 1997/1998. A decrease in biomass of the main cohabitant fish species of anchoveta such as sardine, horse mackerel, and mackerel was detected after the 1997–1998 El Niño event (Gutiérrez et al., ). We hypothesize that seasonally changing abiotic parameters such as temperature, salinity, and dissolved oxygen cause a change in abundance and distribution of anchoveta.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Anchovy distribution off Peru in relation to abiotic parameters: A 32‐year time series from 1985 to 2017

Castillo

Rosa

Diaz

et al. 2018

Fisheries Oceanography

Self Cite

View full text Add to dashboard Cite

Oceanographic and hydroacoustic data were obtained by the Instituto del Mar del Peru (IMARPE) during 72 cruises off the Peruvian coast between 1985 and 2017 to determine the ranges of the abiotic parameters influencing the anchovy (anchoveta) distribution and to observe the effect of the 1997–1998 El Niño event. The hydroacoustic data show a high seasonal variability in anchoveta distribution related to differences of environmental parameters as well as changes in distribution after the very strong El Niño event in 1997–1998. Geostatistic variograms were used to describe the seasonal variability and generalized additive models (GAMs) with a Tweedie distribution were applied to study the relationships between anchoveta and oceanographic parameters. The dependent variable was the value for anchoveta obtained from echosounder (nautical area scattering coefficient [NASC] of anchoveta) and the tested covariates were temperature, salinity, and dissolved oxygen at the sea surface; distance to the coast; year, latitude–longitude; and Oceanic Niño Index 1 + 2. The results show a high variability of anchoveta with seasonal differences in its distribution. Preferred abiotic conditions (temperature, salinity, oxygen) of anchoveta were 17.6–23.7°C, 32.30–35.14, and 5.9–8.7 ml/L in summer and 14.5–18.8°C, 34.81–35.12, and 5.2–6.3 ml/L in winter. The values in autumn and spring were intermediate and are considered as in transition. The anchoveta were detected at higher values after the 1997–1998 El Niño event, probably influenced by reduced standing stocks of congener fish species and by the Pacific decadal oscillation (PDO) or by a changes in climate.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Anchovy distribution off Peru in relation to abiotic parameters: A 32‐year time series from 1985 to 2017

Castillo

Rosa

Diaz

et al. 2018

Fisheries Oceanography

Self Cite

View full text Add to dashboard Cite

show abstract

“…1), from scientific cruises carried out by the Peruvian Sea Institute (IMARPE), the industrial fishing fleet, and the Eureka program (quick synoptic surveys to collect biological and qualitative acoustic information aboard fishing vessels, see Gutiérrez et al, 2000Gutiérrez et al, , 2012. As far as possible, three individuals of both species were randomly sampled by fishing set and by size classes of one centimetre covering the captured size range.…”

Section: Sample Collectionmentioning

confidence: 99%

Diet diversity of jack and chub mackerels and ecosystem changes in the northern Humboldt Current system: A long-term study

Alegre

Bertrand

Espino

et al. 2015

Progress in Oceanography

View full text Add to dashboard Cite

“…Reference [21], indicate anchovy variability in a general way with biomass values estimated between 1966 to 2009, as a result of environmental forcing changes operating at different scales of time and space.…”

Section: Discussionmentioning

confidence: 99%

Variability in distribution and aggregation behavior of the Peruvian anchovy (Engraulis ringens) analyzed using a fifteen year long series of acoustic surveys (2000–2014)

Castillo

Madureira

Marangoni

et al. 2015

2015 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics)

View full text Add to dashboard Cite

The Peruvian "anchovy" (Engraulis ringens) maintains the world's largest single species fishery in the world. Acoustic data from research cruises surveying the distribution area of this species provide meaningful information about its behavior and distribution as well as its abundance within years and decades. Acoustic information gathered during 15 years (15 summer and 12 winter "Pelagic Hydroacoustic Evaluation Cruises") along the Peruvian coast from 2000 to 2014, revealed characteristic patterns within the aggregation behavior and distribution of anchovy. Measuring pelagic fish species distribution and abundance for stock assessment were the main objectives of those cruises conducted by the Instituto del Mar del Peru. Acoustic surveys were performed using scientific echosounders Simrad: EK-500 (2000-2007) and EK60 (2008)(2009)(2010)(2011)(2012)(2013)(2014). Frequencies 38, 120 and 200 kHz were deployed but the operative frequency was 120 kHz for analysis and biomass estimation. Echoview was used as acoustic data post-processing program. 27-cruise database was used to calculate statistical indicators such as gravity center, variogram, Lorenz diagram and Gini Index, all associated with anchovy abundance and distribution. Geostatistical analysis were used to determine the gravity center and variogram. Variograms analysis were performed on the EVA (VAriance Estimation) program with spherical model and the fit semivariogram models by the method of least squares. Our main results show that anchovy distribution, as observed in these analyses, was highly variable, with characteristic seasonal behavior (summer and winter), and associated to distinct environmental conditions. Anchovy distributions from 2000 to 2014 have a gravity center between latitudes 07 and 13°S, along the north-central region of the Peruvian coast, area of greatest abundance. In summer, the gravity center fluctuated off Huarmey (10°S) while in winterspring it showed some southward trend in recent years. El Niño and La Niña phenomena observed during this period did not show any influence on the anchovy gravity center. In summer larger structures on the variograms (variances, variability and clustering of schools of fish) were found with respect to winter. This is likely due to the high concentration of schools and high integration values. In winter with the increased presence of cold water, the favorable habitat of anchovy is wider favoring major school dispersion, lower integration values and lower variability. However, the data structure varies noticeably within the year, each cruise having a particular pattern. Atypical distribution was recorded in winter of 2013, with high abundances and existence of compact well identified schools. The variogram parameters lead to consider that anchovy distribution is structured and spatially dependent, which indicates that anchovy spatial distribution is a continuous process with auto-correlated characteristics. The degree of concentration of the distribution data were evidenced by the Lorenz diagram.

show abstract

Trends in spatio temporal distribution of Peruvian anchovy and other small pelagic fish biomass from 1966 2009

Cited by 30 publications

References 17 publications

Anchovy distribution off Peru in relation to abiotic parameters: A 32‐year time series from 1985 to 2017

Anchovy distribution off Peru in relation to abiotic parameters: A 32‐year time series from 1985 to 2017

Diet diversity of jack and chub mackerels and ecosystem changes in the northern Humboldt Current system: A long-term study

Variability in distribution and aggregation behavior of the Peruvian anchovy (Engraulis ringens) analyzed using a fifteen year long series of acoustic surveys (2000–2014)

Contact Info

Product

Resources

About