Fx. Maynou et al., ASSESSMENT OF THE SPATIAL STRUCTURE AND BIOMASS EVALUATION OF NEPHROPS NORVEGICAS (L.) POPULATIONS IN THE NORTHWESTERN MEDITERRANEAN BY GEOSTATISTICS, ICES journal of marine science, 55(1), 1998, pp. 102-120
The spatial distribution and biomass of Nephrops norvegicus were asses
sed by trawling over commercial fishing grounds (''Serola'', off Barce
lona, Spain) during two surveys (spring and fall 1991), using geostati
stical methods. The surveys were set 6 months apart, in order to analy
se possible seasonal differences. In the present surveys, Norway lobst
er was caught between 200 and 600 m depth. with peak abundance at abou
t 400 m. The analysis of the structure of spatial correlation by means
of semivariograms showed that densities of Nephrops norvegicus were s
patially autocorrelated and lobster populations were distributed in hi
gh-density patches 6 to 9 km in diameter. No spatial segregation per b
iological category (size or sex) was detected. The semivariograms were
consistent for all biological categories. A strong linear relationshi
p between local mean and standard deviation (proportional effect) was
modelled by the relative semivariogram. Relative experimental semivari
ograms were fitted to a spherical model. The share of the semivariogra
m, and the spatial autocorrelation structure of Norway lobster populat
ions, remained stable over the two surveys. The density of Nephrops no
rvegicus available to the experimental gear was mapped by point krigin
g. High-density patches of different biological categories exactly con
formed and remained stable over the two surveys, showing a certain int
ra-annual stability. However, mean densities and overall abundance (co
mputed by global kriging) decreased sharply in the fall survey. This w
as accounted for by means of knowledge on the biology of the species f
or the same area. The biological characteristics of Nephrops populatio
ns in the area studied are similar to those of other Mediterranean and
Atlantic populations, hence our results are not restricted to the stu
dy area. We conclude that the geostatistical analysis approach, which
rakes into consideration the spatial autocorrelation structure of the
populations, is adequate for the direct biomass estimation and assessm
ent of Nephrops harvestable stock.