Patterns in the spatial distribution of Peruvian anchovy (Engraulis ringens) revealed by spatially explicit fishing data

Bertrand, Sophie; Díaz, Erich; Lengaigne, Matthieu

doi:10.1016/j.pocean.2008.10.009

Cited by 79 publications

(43 citation statements)

References 36 publications

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“…location of fishing areas, target catch, bycatch, etc.). Adaptive management plans have been proposed for the anchovy purse seine fishery to prevent negative impacts as a result of ENSO events (Bertrand et al, 2008). Given their comparable sensitivity to environmental conditions, similar management practices should be considered for the SSF in order to support their long term viability as an important source of food and employment.…”

Section: Future Directionsmentioning

confidence: 99%

Where small can have a large impact: Structure and characterization of small-scale fisheries in Peru

Alfaro‐Shigueto

Mangel

Pajuelo³

et al. 2010

Fisheries Research

162

135

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Section: Future Directionsmentioning

confidence: 99%

Where small can have a large impact: Structure and characterization of small-scale fisheries in Peru

Alfaro‐Shigueto

Mangel

Pajuelo³

et al. 2010

Fisheries Research

162

135

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“…Between two and four acoustic surveys to assess the abundance and distribution of pelagic fish populations and to estimate the quota or Total Allowable Catch (TAC) for both anchovy stocks have been carried out yearly by IMARPE since 1983 [13]. TACs are calculated from current biomass estimations and draw upon the results of biological monitoring that is carried out at all landing sites [10].…”

Section: Third Impact: Management Regulations Rapidly Out-of-datementioning

confidence: 99%

“…Ninety nine percent of anchovy catches are reduced to fishmeal and fish oil by around 140 processing factories [6,12]. The fishery is mono-specific [13,14]; since at least 90% of the catches consist of one fish species: anchovy or anchoveta (Engraulis ringens).…”

Section: Introductionmentioning

confidence: 99%

Coping Strategies to Deal with Environmental Variability and Extreme Climatic Events in the Peruvian Anchovy Fishery

2011

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Abstract:The Peruvian anchovy fishery is the largest worldwide in terms of catches. The fishery started during the mid 1950s, and since then it has been highly dependent on natural stock fluctuations, due to the sensitivity of anchovy stocks to ocean-climate variability. The main driver of anchovy stock variability is the El Niño Southern Oscillation (ENSO), and three extreme ENSO warm events were recorded in

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“…VMS is most commonly associated with Geographical Positioning Systems (GPS), but also incorporates other monitoring technologies. VMS is capable of providing data at high spatial and temporal resolution and has been installed in numerous fisheries (Campbell et al, 2014;Gerritsen and Lordan, 2010;Jennings and Lee, 2012;Witt and Godley, 2007), although to date, VMS has been mostly deployed in industrial fisheries, where it is sometimes mandatory (Bertrand et al, 2008). Several aspects of fishing activities can be monitored using VMS, including vessel position, operational characteristics, engine operation, and soak time (Kindt-Larsen et al, 2011;Lee et al, 2010;Vermard et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Remote electronic monitoring as a potential alternative to on-board observers in small-scale fisheries

Bartholomew

Mangel

Alfaro‐Shigueto

et al. 2018

Biological Conservation

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A B S T R A C TSmall-scale fisheries can greatly impact threatened marine fauna. Peru's small-scale elasmobranch gillnet fishery captures thousands of sharks and rays each year, and incidentally captures sea turtles, marine mammals and seabirds. We assessed the ability of a dedicated fisheries remote electronic monitoring (REM) camera to identify and quantify captures in this fishery by comparing its performance to on-board observer reports. Cameras were installed across five boats with a total of 228 fishing sets monitored. Of these, 169 sets also had on-board fisheries observers present. The cameras were shown to be an effective tool for identifying catch, with > 90% detection rates for 9 of 12 species of elasmobranchs caught. Detection rates of incidental catch were more variable (sea turtle = 50%; cetacean = 80%; pinniped = 100%). The ability to quantify target catch from camera imagery degraded for fish quantities exceeding 15 individuals. Cameras were more effective at quantifying rays than sharks for small catch quantities (x ≤ 15 fish), whereas size affected camera performance for large catches (x > 15 fish). Our study showed REM to be effective in detecting and quantifying elasmobranch target catch and pinniped bycatch in Peru's small-scale fishery, but not, without modification, in detecting and quantifying sea turtle and cetacean bycatch. We showed REM can provide a time-and cost-effective method to monitor target catch in small-scale fisheries and can be used to overcome some deficiencies in observer reports. With modifications to the camera specifications, we expect performance to improve for all target catch and bycatch species.

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Patterns in the spatial distribution of Peruvian anchovy (Engraulis ringens) revealed by spatially explicit fishing data

Cited by 79 publications

References 36 publications

Where small can have a large impact: Structure and characterization of small-scale fisheries in Peru

Where small can have a large impact: Structure and characterization of small-scale fisheries in Peru

Coping Strategies to Deal with Environmental Variability and Extreme Climatic Events in the Peruvian Anchovy Fishery

Remote electronic monitoring as a potential alternative to on-board observers in small-scale fisheries

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