The development of a sampling design for optimising sampling site locations
collected from a coastal marine environment has been the purpose of the pr
esent work; application of statistical analysis and spatial autocorrelation
methods have been carried out. The dataset included data collected from 34
sampling sites spaced out in the Strait of Lesbos, Greece, arranged in a 1
x1 NM grid. The coastal shallow ecosystem was subdivided into three zones,
an inner one (7 stations), a middle one (16 stations) and an offshore zone
(11 stations). The standard error of the chlorophyll-a concentrations in ea
ch zone has been used as the criterion for the sampling design optimisation
, resulting into reallocation of the sampling sites into the three zones. T
he positions of the reallocated stations have been assessed by estimation o
f the spatial heterogeneity and anisotropy of chlorophyll-a concentrations
using variograms. Study of the variance of the initial dataset of the inner
zone taking into account spatial heterogeneity, revealed two different sub
-areas and therefore, the number of the inner stations has been reassessed.
The proposed methodology eliminates the number of sampling sites and maxim
ises the information of spatial data from marine ecosystems. It is describe
d as a step-by-step procedure and could be widely applied in sampling desig
n concerning coastal pollution problems.