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Trends of anchovy (Engraulis encrasilocus, L.) biomass in the northern and central Adriatic Sea

Authors: Santojanni, Alberto; Arneri, Enrico; Barry, Catherine; Belardinelli, Andrea; Cingolani, Nando; Giannetti, Gianfranco; Kirkwood, Geoff;

Trends of anchovy (Engraulis encrasilocus, L.) biomass in the northern and central Adriatic Sea

Abstract

La anchoa (Engraulis encrasicolus, L.) es una de las especies comerciales más importantes en el norte y central Adriático. La captura media anual estimada de anchoas por el IRPEM para estas áreas en el intervalo 1975-1996, es de 25000 toneladas. Se obtuvieron estimas de la biomasa del stock de anchoa en el mar entre 1975-1996 mediante dos modelos de dinámica de poblaciones basados en diferentes entradas de datos: Análisis de Población Virtual (VPA) y el modelo de De Lury con índice de reclutamiento. El VPA se llevó a cabo sintonizando la tasa de mortalidad pesquera por edad ajustando a la correspondiente Captura por Unidad de Esfuerzo (CPUE). Tanto el VPA como el modelo de De Lury dan resultados sensibles. Se investigó el efecto sobre las evaluaciones del uso de una fecha de nacimiento diferente y en consecuencia de los datos por año. Los valores de biomasa, así como las pautas en el tiempo así estimadas fueron similares en base tanto a los métodos de evaluación como al calendario anual versus datos por año. En particular, la biomasa de los años más recientes (alrededor de 100000 toneladas) fue más baja que en la segunda mitad de los 70 y primera mitad de los 80 (unas 200000 toneladas). El valor mínimo (menor de 50000 toneladas) fue siempre estimado en 1987, cuando tuvo lugar un fuerte descenso en las capturas y una crisis en la pesquería de anchoa. Incluso si se obtuvieron valores altos de esfuerzo pesquero y tasas de mortalidad/explotación para algunos años antes de 1987, muy bajos valores de reclutamiento en 1986 y 1987 parecen ser los principales responsables del colapso de los stocks.

Anchovy (Engraulis encrasicolus, L.) is one of the most important commercial species of the northern and central Adriatic Sea. The mean annual catch of anchovy estimated by IRPEM for these areas, in the time interval 1975-1996, is equal to 25,000 tonnes. Estimates of anchovy stock biomass at sea in the time interval 1975-1996 were obtained using two population dynamics methods based on different data inputs: Virtual Population Analysis (VPA) and the DeLury model with recruitment index. VPA was carried out tuning the estimated fishing mortality rate at age by fitting on corresponding Catch Per Unit of fishing Effort (CPUE). Both VPA and the DeLury model yielded sensible results. The effect on the assessments due to the use of a different birth date and thus of split-year data was investigated. Biomass values as well as patterns over time so estimated were similar on the basis of both assessment methods and calendar year versus split-year data. In particular, the biomass in more recent years (around 100,000 tonnes) was lower than in the second half of the 1970s and first half of the 1980s (over 200,000 tonnes). The minimum value (lower than 50,000 tonnes) was always estimated in 1987, when a strong drop in the catch and crisis of the anchovy fishery took place. Though high values of both fishing effort and fishing mortality/exploitation rate were obtained for some years before 1987, very low levels of recruitment in 1986 and 1987 seem to be mainly responsible for the collapse of the stock.

Keywords

anchovy, Virtual Population Analysis, DeLury model with recruitment index, anchoa; Adriático; análisis de poblaciones virtuales; Laurec-Shepherd tuning; modelo De Lury con reclutamiento, Adriatic Sea, análisis de poblaciones virtuales, modelo De Lury con reclutamiento, anchoa, Adriático, Laurec-Shepherd tuning, anchovy; Adriatic Sea; Virtual Population Analysis; Laurec-Shepherd tuning; DeLury model with recruitment index

34 references, page 1 of 4

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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