Ocean Science
www.ocean-sci.net
1812-0784
1812-0792
3
2
2007
10.5194/os-3-189-2007
http://www.ocean-sci.net/3/189/2007/
http://www.ocean-sci.net/3/189/2007/os-3-189-2007.html
http://www.ocean-sci.net/3/189/2007/os-3-189-2007.pdf
189
203
2007-05-02
An observing system for the collection of fishery and oceanographic data
P. Falco
p.falco@ismar.cnr.it
A. Belardinelli
A. Santojanni
N. Cingolani
A. Russo
E. Arneri
Istituto di Scienze Marine- Consiglio Nazionale delle Ricerche, Sede di Ancona, Largo Fiera della Pesca 60125, Ancona, Italy
Dipartimento di Scienze del Mare, Università Politecnica della Marche, Via Brecce Bianche, 60131, Ancona, Italy
Fishery Observing System (FOS) was developed as a first and basic step
towards fish stock abundance nowcasting/forecasting within the framework of
the EU research program Mediterranean Forecasting System: Toward an
Environmental Prediction (MFSTEP). The study of the relationship between
abundance and environmental parameters also represents a crucial point
towards forecasting. Eight fishing vessels were progressively equipped with
FOS instrumentation to collect fishery and oceanographic data. The vessels
belonged to different harbours of the Central and Northern Adriatic Sea. For
this pilot application, anchovy (<I>Engraulis encrasicolus</I>, L.) was chosen as the target species.
Geo-referenced catch data, associated with in-situ temperature and depth, were the
FOS products but other parameters were associated with catch data as well.
MFSTEP numerical circulation models provide many of these data. In
particular, salinity was extracted from re-analysis data of numerical
circulation models. Satellite-derived sea surface temperature (SST) and
chlorophyll were also used as independent variables. Catch and effort data
were used to estimate an abundance index (CPUE – Catch per Unit of Effort).
Considering that catch records were gathered by different fishing vessels
with different technical characteristics and operating on different fish
densities, a standardized value of CPUE was calculated. A spatial and
temporal average CPUE map was obtained together with a monthly mean time
series in order to characterise the variability of anchovy abundance during
the period of observation (October 2003–August 2005). In order to study
the relationship between abundance and oceanographic parameters, Generalized
Additive Models (GAM) were used. Preliminary results revealed a complex
scenario: the southern sector of the domain is characterised by a stronger
relationship than the central and northern sector where the interactions
between the environment and the anchovy distribution are hidden by a higher
percentage of variability within the system which is still unexplained.
<br><br>
GAM analysis showed that increasing the number of explanatory variables also
increased the portion of variance explained by the model. Data exchange and
interdisciplinary efforts will therefore be crucial for the success of this
research activity.
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