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1310 C. Ravier and J.-M. Fromentin
be used, but 15 years is probably too short to describe Fluctuations in trap catches as a proxy for
synchrony between long-term fluctuations. Therefore, fluctuations in abundance
correlograms were also computed on time-series having
at least 50 years in common. Original time-series showed The results of the correlograms showed that long-term
significant spatial autocorrelation over the whole area trends in trap catches were synchronous over more than
studied (Figure 7c). Whatever the distance between them 2000 km, from southwest Portugal to east of Sicily and
geographically, time-series were significantly positively from north of Sardinia to south Tunisia. Bluefin tuna
correlated, with mean r of 0.40–0.51 within groups migrate annually from the North Atlantic to reproduce
(traps from either the eastern Mediterranean area, or in two main areas of the western Mediterranean,
from the western Mediterranean/adjacent Atlantic), and hugging the coast on their way to their spawning sites
mean r of 0.18–0.42 between groups (traps from (Aristotle, 4th century B.C.; Mather et al., 1995). If the
Sardinian-Sicilian-Tunisian group against traps from the traps did not catch a representative proportion of the
Gibraltar area). The correlogram on detrended time- bluefin tuna population, there would have been no
series showed that they were only positively correlated reason for the apparent long-term fluctuations to be
up to 200 km apart (Figure 7d). Therefore, correlograms synchronous around the whole western Mediterranean
on long-term series emphasized the synchrony between basin and along the southern coasts of Spain and
long-term trends and confirmed that short-term Portugal. This result would support the hypothesis of
variability was only structured at a scale <200 km. Fromentin et al. (2000a) that long-term fluctuations
in trap catches are a good proxy for variation in
In conclusion, long-term fluctuations in trap catches population abundance.
appeared significantly synchronous all around the
western Mediterranean and adjacent North Atlantic, It may be argued that synchronous historical social
whereas the year-to-year fluctuations were only and economic events (wars, plagues, changes in trade
synchronous on a local scale. and industry) could explain such a pattern. However,
such events are rarely (if ever) common and/or synchro-
Discussion nous between the different countries of the study area,
and those in common were too short to explain the
Data long-term fluctuations. Moreover, there is no informa-
tion in the literature that indicates the possible influence
Mapping of the studied sites reveals strong dis- of historical social and economic events on trap fisheries
parity in the location of traps around the western over decades or centuries (Hjort, 1914; Hersart de la
Mediterranean and adjacent North Atlantic, which Villemarque´, 1995). Nevertheless, these events can affect
does not result from incomplete data collection. The short-term variability, which in turn may be related to
traps constitute important fisheries along the southern local and/or regional variations in environmental condi-
coasts of Portugal and the Atlantic and Mediterranean tions, fish behaviour (tuna migrating farther offshore in
coasts of Spain and Morocco, and along the Tunisian, one area than in another in a given year), and fishing
Sicilian, Sardinian, and western continental Italian effort (accidental damage to nets, variation in the ability
coasts, i.e. along the migration routes of spawning of the ‘‘Reis’’, the lead fisher). All these short-term
bluefin tuna (Berthelot, 1869; Farrugio, 1981). Else- variations, which tend to be on a local scale only,
where, along the Algerian, French, and Adriatic coasts, could explain why the year-to-year fluctuations appear
traps were of minor importance and only caught juv- synchronous within areas <200 km.
eniles and/or sporadically some adults, so such informa-
tion was not used in this study. Graphic representation The literature (Berthelot, 1869; Pavesi, 1889; de
of the data set also reveals temporal disparity in the Braganc¸a, 1899; de Buen, 1928; Thomazi, 1947;
availability of trap data. This mainly reflects the avail- Doumenge, 1998) highlights the similarity between
ability of historical records and the fact that some of the traps over the whole studied area and the absence
the catches were not recorded (e.g. in Spain during the of meaningful technical modification until the
19th century) or were destroyed (e.g. Sicilian data in 20th century. However, notable changes during the
the mid-19th century). Nevertheless, we believe that the 20th century resulted in increased human perturbation
data presented in this study are trustworthy and of and crucial changes to fishing gear and technology after
good quality, because most historical documents give the Second World War. The total number of active traps
extensive information about the catches, including varied slightly over time, though most operated from the
mean weight of tuna, dates of the ‘‘matanza’’ (collect- 16th century. The Spanish bluefin tuna fishery was,
ing tuna from the ‘‘death room’’), environmental con- however, less stable than elsewhere. First, beach-seines
ditions, and number of fishers and boats. were used until the early 19th century and then replaced
by traps. Second, the aristocracy surrendered its rights
on traps around 1815, traps being auctioned and
scattered between numerous owners. From 1804 to