Ben Hamadou R.,
Ibanez F., Picheral M., G. Gorsky.
2005. Identification of step pattern in ordered data stes
using the Walsh transform algorithm. Ecological Modelling
182: 11-24
ABSTRACT : Thiswork is an attempt to recognize discontinuities within
ordered data series by the use of theWalsh functions.Walsh functions are a system of orthogonal
functions used in showing howthe energy in a given
signal is distributed among these rectangulaire
components revealing the existent boundaries. This paper presents the capacity ofWalsh transform on determining the statistical
significance of discontinuities within ordered marine ecological data. Marine
ecosystems present high vertical patterns; dataseries
on particulate matter concentrations (measured by the Underwater Video Profiler
(UVP)) were used to recognize homogeneity limits in water columns. Firstly,
Walsh functions are generated in a compact form. Then, a spectral decomposition
is performed on the ecological signal to obtain a stepped Walsh version; the
step width at this stage is unvarying, picking constant vertical sections. To
avoid this limitation, the estimated series is then smoothed to recognize
changing step widths by merging successive blocks presenting statistical
non-significant difference; here the nonparametric Kolmogorov–Smirnov
test is used. This Walsh transform algorithm provides a fast, simple yet
accurate means of separating ordered ecological data into groups of
observations corresponding to different marine water masses. This method is
applied to four profiles measured at the same site during 2 days. The temporal
evolution of depth transitions are first discussed and then used for the
validation of the transform model.
KEY WORDS: Ordered data discontinuities; Boundary detection;Walsh function; Spectral decomposition; UnderwaterVideo Profiler;Water masses;Nonparametric; Classification; POMME cruise
Beaugrand G. & F. Ibanez. 2004. Monitoring marine plankton
ecosystems (2): long-term changes in
ABSTRACT :
Recently, a framework has been proposed to monitor plankton ecosystems in the
KEY WORDS: Plankton monitoring · Calanoid
copepods · Hydro-climatic forcing · Continuous plankton recorder survey
Beaugrand G., F. Ibanez
& J.A. Lindley. 2003. An overview of statistical methods applied to
CPR data. Progress in Oceanography, 58, 235-262.
Since the beginning of the Continuous Plankton
Recorder (CPR) survey in 1931, information on the abundance of a large number
of plankton species or taxa has been obtained on a
monthly basis in the northern
Ducrotoy, J.-P. & Ibanez, F. 2002. Ecological groups of estuarine macrobenthic
invertebrates in the Baie de Somme (
This work is an attempt to interpret a chronological
data set on abundances of estuarine soft substrate invertebrates through an
ecological approach. The data was collected in the framework of the European programme COST 647 (Coopération Scientifique et Technique) on
coastal benthic ecology which terminated in 1992. Species numbers and selected
environmental factors were recorded at two stations in the baie
de
KEY WORDS : Benthos,
population dynamiques, eutrophication,
distribution free procedure, cumulated sums
Anneville O, S. Souissi, F. Ibanez,
V. Ginot ,
Druart J-C & N. Angeli.
2002. Temporal mapping of phytoplankton assemblages in
Since the early 80´s,
KEY WORDS: Phytoplankton, lake
Leman, multivariate time series analysis
Beaugrand G, P.C. Reid, F. Ibanez, J.A. Lindley & M. Edwards. 2002. Reorganisation of
We provide evidence of large-scale changes in the biogeography of calanoid copepod crustaceans in the eastern North Atlantic
Ocean and European shelf seas.We demonstrate that
strong biogeographical shifts in all copepod
assemblages have occurred with northward extension of more than 10 °latitude of
warm-water species associated with decrease in the number of colder water species.These biogeographical
shifts are in agreement with recent changes in the spatial distribution and phenology detected for many taxonomic groups in terrestrial
European ecosystems and are related to both the increasing trend in Northern
Hemisphere temperature and the North Atlantic Oscillation.
Ibanez F. & A.
Conversi. Prediction of
missing values and detection of 'exceptional events': a single algorithm. 2002.
Ecol. Model., 154:9-23
The detection of extreme events is of primary
importance because they often change the initial conditions of a dynamic
system. However, the definition of what constitutes an extreme or exceptional
event is unclear: what threshold or which rate of occurrence delineates an
anomaly? An alternate and precisely specified type of definition might be an
event which cannot be predicted by a particular model at a chosen probability.
Missing values are unfortunately characteristic of biological oceanographic
time series. This characteristic precludes a great deal of numerical
treatments. Consequently, several interpolation techniques have been proposed
to predict missing values. Most of them are not adequate for planktonic data which are characterized by high
heterogeneity. An iterative approach based on the principles of the
Eigenvectors Filtering method (EVF) is examined. The limits of the technique
are determined through simulation. The same method is then applied for the
detection and definition of extreme events. We first apply a crude method to
select some maximal or minimal values in a data series (the extreme events),
then the selected values are coded as missing values, and finally we evaluate
how well the Eigenvector Filtering method is able to reproduce the original
"extreme" values. These simulations provide insight into why large
peaks (or holes) can be identified as extremes events or not, based on the
degree of their prediction.
KEY WORDS : Times series, outliers, missing values, extreme events, plankton
Beaugrand G, F. Ibanez, J.A. Lindley & P.C. Reid. 2002.
Diversity of calanoid copepods in the
Present-day patterns in pelagic biodiversity are the
result of the interaction of many factors acting at different scales.
Developing an understanding of the processes that regulate the diversity of
oceanic ecosystems is thus difficult. In this study, diversity of calanoid copepods was decomposed into species associations
by means of the recent method indicator value (Dufrêne
& Legendre 1997) and multivariate analyses. For
the first time, at an oceanic basin-scale and with a spatial resolution
approaching the mesoscale, species associations of calanoid copepods have been identified. Nine species associations were determined and has enabled us to (1)
improve the partition of this region recently proposed by Beaugrand
et al. (in press) and (2) identify the main factors that regulate pelagic
biodiversity in this area. It is shown that the factors (1) temperature, (2)
hydrodynamics, (3) stratification and (4) seasonal variability of the
environment are likely to be the main factors contributing to the ecological
regulation of diversity of calanoid copepods. The
similar geographical pattern evident between currents / water masses and the
species associations suggest that they can be used as environmental indicator
to evaluate long-term changes in pelagic ecosystems and currents related to
global warming and other increasing human-induced influences.
KEY WORDS: Pelagic diversity ,
species associations, Calanoid copépodes,
Continuous Plankton Recorder (CPR) survey, Multivariate analyses
Beaugrand G. & F. Ibanez. 2002. Spatial dépendance
of pelagic diversity in the
Ecosystems are fundamentally structured in space and
time and the identification and the quantification of scales of variability has
occupied a central importance in ecology for a few decades. This present study
examines spatial changes in the diversity of calanoid
copepods and its regional dependence in the
spatial scale in the subarctic gyre and the northern
boundary of the subtropical gyre. Low spatial scales of variability are
detected in the
KEY WORDS: Spatial scale of variability
, cumulative semi-variograms, Calanoid copépodes, Pelagic
diversity, Continuous Plankton Recorder (CPR) survey
Ben
Hamadou R., F. Ibanez , S. Souissi & A-C. Cathelineau. 2001. Spatial Analysis of hydrological and phytoplanktonic data of the
A method of cartography originally used in geology was
adapted to generate regionalization and to obtain 2-D maps of multivariate
marine data. The ecological purpose of the method is to divide the studied area
through homogeneous regions presenting common multivariate characteristics.
Firstly, transformation was applied to the original matrix of hydrological
parameters in order to satisfy the condition of multinormality.
Then, associative analysis was used in order to produce a partition of sites
easy to interpret. The level of heterogeneity between each station and the
properties of each group was assessed by measuring the Bayesian probabilities.
These conditional probabilities measure the chance that each site has in
belonging to a predefined group of sites. Based on the geographical positions
of the stations, the probability values for each group of stations were mapped
using kriging interpolation algorithm. The obtained
maps of iso-probabilities for the different groups of
stations were used to define homogenous zones on a single map. Including
afterwards the phytoplanktonic dataset, the indicator
species were identified for each zone.
This multivariate analysis was applied to a hydrological and phytoplanktonic dataset of the
KEY WORDS:
Licandro P., A. Conversi, F. Ibanez
& J. Jossi. 2001. Time series
analysis of interrupted long-term data set (1961-1991) of zooplankton abundance
in
Oceanologica Acta 24 : 453-466
The main interannual and
seasonal signals have been extracted from a multi decadal data set of
zooplankton collected with the Continuous Plankton Recorder in the
KEY WORDS: Calanus finmarchicus /
Souissi S., F. Ibanez, R. Ben Hamadou J. Boucher, A-C Cathelineau F. Blanchar
& J-C Poulard. 2001. New method
for multivariate cartography: application to study species assemblages and
their habitats by using bottom trawl surveys in the
This new numerical approach proposes a solution to a
fundamental and difficult question in ecology, consisting of the correct
geographical representation of multidimensional structures. Firstly,
transformation was applied to the original matrix (n sites x q variables) in order
to satisfy the condition of multinormality. Then, a
hierarchical cluster analysis was used and each hierarchical level was studied
and characterised by a certain probability level. For
each cut off level an algorithm based on the computation of the Bayesian
probabilities produced a smaller matrix (n sites x c groups). These conditional
probabilities measure the chance that each site has in belonging to a
predefined group of sites. Spatial distributions of these probability values
for each group of sites were mapped using kriging
interpolation. Finally, the maps were used to define homogenous zones on a
single map by superimposing one map on the other. The maximal value of
interpolated probability was used as criterion to assign each point of the map
to the zones predefined by this classification. This method was applied to map demersal fish habitats by using a dataset from bottom trawl
surveys in the
KEY WORDS: Multivariate lapping, Cluster analysis,
Bayesian probability, Fish habitat, Assemblages,
Beaugrand G, F. Ibanez,
J.A. Lindley. 2001 Geographical distribution and
seasonal and diel changes in the diversity of calanoid copépodes in the
Mar. Ecol . Prog. Series 219 : 189_203
This paper examines spatial distribution of the
pelagic diversity of calanoid copepods in the
KEY WORDS: Pelagic diversity, Calanoid
copépodes, Spatial
distribution, Seasonal variations, Diel changes
Continuous Plankton Recorder (CPR) survey
Beaugrand G., F. Ibanez & C. Read. 2000. Spatial,
seasonal and long-term fluctuations of plankton in relation to hydroclimatic features in the
Mar. Ecol. Prog. Series 200 :
93-102
Spatial, seasonal variations and long-term changes of
plankton collected by the Continuous Plankton Recorder (CPR) survey were
investigated in the
KEY WORDS: Long-term changes, Spatial variation,
Seasonal fluctuation, Three-mode Principal Component Analysis (PCA) , Winter climatic condition
Beaugrand G. , P.C. Reid P.C, Ibanez F. & B. Planque.
2000. Biodiversity of
Spatial patterns in pelagic biodiversity are the
result of factors acting from a global to a local scale. The global patterns
have been studied intensively using taxa such as
foraminifera and euphausiids. However, these studies
do not allow direct comparisons of neritic and
oceanic régions or examination of relationships
between local and régional patterns of pelagic
diversity. Here we present a map of the diversity of calanoid
copepods, a key planktonic group, sum-marising 40 yr of continuous monthly investigations in the
KEY WORDS: Pelagic diversity, Calanoid
copépodes,
Licandro P,
Ibanez F. 2000. Changes of zooplankton communities in the
Year-to-year variations in abundance and composition
of zooplankton were studied in the
KEY WORDS: Time series, Zooplankton communities,
Nogueira E., F. Ibanez & F.G. Figueiras. 2000. Effect of meteorological and
hydrographic disturbances on the microplankton
community structure in the Ría de Vigo (NW Spain).
Mar. Ecol. Prog. Series 203 :
23-45
The relationships between meteorological and
hydrographic disturbances and micro-plankton community structure and organisation were investigated in the Ría
de Vigo, an estuarineecosystem affected by coastal
upwelling. The frequency and duration of sampling (ca twice per week from
September 1990 to May 1992) are appropriate to reveal the impact of
disturbances in the con-text of the seasonal cycle. Perturbations were
identified statistically and related to recognisable
mete-orological and hydrographic processes that are
expected to influence microplankton dynamics.
According to the frequency of disturbances (between 8 and 14 yr -1 ) the ecosystem could be classified as
intermediate-frequency disturbed in relation to the microplankton
community organisation time-scales. Meteorological
and thermohaline disturbances promoted changes in microplankton commu-nity
structure (disjunctions). The time-series of thermohaline
properties, a proxy for allogenic pro-cesses
related with mixing regimes and estuarine circulation, was the best indicator
of changes in community structure: 15 out of the 21 disjunctions (ca 70%)
coincided with thermohaline distur-bances.
Disturbances of the nutrient fields were related to allogenic
forcing but also, markedly dur-ing the productive
season, to re-structuring of the microplankton
community. They pointed out auto-genic
community-driven processes. Microplankton assemblages
revealed by the species-oriented ordination technique were interpreted in terms
of the replication strategies: well-defined groups of competitor (C), disturbance-tolerant
ruderal (R) and stress-tolerant (S) species were
discerned. At aseasonal time-scale, succession
progressed according to the sequence from r- to K-selection strate-gies.
C-species dominated spring assemblages, during the period of transient thermoclines, while S-species
contributed more to summer assemblages, when the thermocline
was fully developed and the ecosystem was under nutrient stress. R-species
showed an intermittent pattern and their relative abundance increased when
environmental variability was more acute, during the winter and spring to
summer (clear-water phase) transition. The regime of allogenic
disturbances operating at interme-diate frequency
during the productive season allowed the maintenance of relatively high
micro-plankton diversity at the functional (assemblage) level: all types of
replication strategies were present during summer and early autumn. The results
support the applicability of the intermediate distur-bance
hypothesis (IDH) to microplankton community structure
in the Ría de Vigo.
KEY WORDS: Disturbances · Microplankton
community structure · Replication strategies · Inter-mediate
disturbance hypothesis (IDH) · Ría de Vigo
Ibanez F. 1999. Diversité et ordination. Oceanis 25 : 481-496
(Ibanez. F. Diversity and ordination)
Attention is drawn to some properties of principal
component analysis (PCA). Noncentered PCA of
proportion data gives an ordination where alfa and
beta diversity (within and between sites) are clearly displayed. Centered PCA
leads to better representation with little changes and almost identical
properties. In order to estimate the contribution of the species to diversity,
PCA biplot is proposed: species and sites are
projected in the same factorial space. The distances between species and sites
can inform about the relative contribution of a species to the diversity into a
site. Two examples with planktonic data are treated:
a cruise in the Ambar's bay (data from S. Frontier)
and a transect crossing the Ligurian front (data from
J. Boucher).
KEY WORDS:
Principal Component, diversity
Ibanez F & P. Licandro 1998. Stratégie
d'analyse de tableaux multiples irrégulièrement espacés dans le temps. Oceanis 24 :
(Ibanez F & P. Licandro 1998. Contingency
discrimination analysis of multiple tables irregularly through time.)
With interrupted ecological records, temporal process
analysis is not possible. A sampling of plankton in the
KEY WORDS: factorial analysis, discriminant
analysis, Information
Ibanez F. & J-C. Dauvin. 1998.
Shape analysis of temporal ecological processes :
long-term changes in
Benthic long term times
series reflect the impact of anthropogenic or hydroclimatic
factors as well as biological behaviour strategies.
To clear up this complexity the TSS method (typology of shapes of series) had
been performed using macrobenthic data set from the
western part of the
KEY WORDS: Times series . Multivariate Analysis. Macrobenthic communities. English Channel
Fromentin
J.M., Ibanez F., Dauvin
J.C, Dewarumez J.M. & B. Elkaïm.
1997. Long-term changes of four macrobenthic
assemblages from 1978 to 1992. J.mar.biol.Ass.U.K,
77: 287-310
This study examines whether meso-scale
meteorological events, in particular the alternation of cold and mild periods,
influenced the structure of four Abra alba communities, sampled from 1977 to 1992 on the northwest
French coast. We propose a new numerical procedure to de scribe temporal
variations in the structure of each assemblage, using some niche-oriented
models recently developed by Tokeshi (1993). The
description of the temporal changes in the structure of each community was
summarized into a 2D-plot of an ordination, performed on observed and simulated
patterns. Results showed that important changes occurred in these four
assemblages, which were not directly related to the meso-scale
climatic events, but mainly to the local environmental factors and biotic
interactions. Furthermore, it appears that stable environnemental
conditions would favour more stable structures, but
do not determine the precise type of the structure.
KEY WORDS:: marine mollusks,
zoo benthos community composition, temperature effects, long-term changes,
mathematical models, temporal variations, environmental fac
tors, biotic fac tors, abundance
Fromentin
J.M., J.C. Dauvin, F. Ibanez,
J.M. Dewarumez & B. Elkaïm.
1997. Long-term variations of four community structures. Oceanologica Acta 20 : 43-53
This study examines whether meso-scale meteorological
events, in particular the alternation of cold and mild periods, influenced the
structure of four Abra alba
communities, sampled from 1977 to 1992 on the northwest French coast. We
propose a new numerical procedure to de scribe temporal variations in the
structure of each assemblage, using some niche-oriented models recently
developed by Tokeshi (1993). The description of the
temporal changes in the structure of each community was summarized into a
2D-plot of an ordination, performed on observed and simulated patterns. Results
showed that important changes occurred in these four assemblages, which were
not directly related to the meso-scale climatic
events, but mainly to the local environmental factors and biotic interactions.
Furthermore, it appears that stable environnemental
conditions would favour more stable structures, but
do not determine the precise type of the structure.
KEY WORDS: marine mollusks, zoobenthos
community composition, temperature effects, long-term changes, mathematical
models, temporal variations
Ibanez F & J.M. Fromentin. 1997. Une typologie à partir de la forme
des séries chronologiques (TFS). Oceanologica Acta 20: 11-25
(Ibanez F & J.M. Fromentin. 1997.
A typologie based on the shape of chronological series
(TSS) )
The typology of the shapes of series (TSS) aims to
gather together species having similar temporal patterns corresponding to
different ecological behaviour. Each type of changes,
referred to as the ecological shape, is considered to reflect a particular
demographic strategy (sudden pullulation of
opportunistic species, fluctuations with environmental changes etc.). This méthode, which consists in the definition of four shape
parameters and a classification among the series, taking into account these
shape parameters, does not replace the usual statistical analysis, mainly
multivariate ones, but precedes them. Such preliminary information is usefull for the choice of the susequent
treatments, avoiding the need to analyse
simultaneously species presenting distinct types of ecological responses. The
TSS method was applied on four macrobenthic
communities of the
KEY WORDS:: pattern
recognition, time series, zoobenthos communities
composition;
Planque
B., G.C. Hays, F. Ibanez
& J.C. Gamble. 1997. Large scale
spatial variations in the seasonal abundance of Calanus
finmarchicus . Deep Sea Res. ,44 : 315-326
Data collected by the Continuous Plankton Recorder
(CPR) survey between 1962-1974 in the
KEY WORDS:: Calanus finmarchicus,
Planque B. & F. Ibanez. 1997. Long-term time series in Calanus finmarchicus abundance -
a question of space ? Oceanologica
Acta 20 : 159-164
Year-to-year changes in abundance of the copepod Calanus finmarchicus in the
KEY WORDS::
space-time interactions, Continuous Plankton Recorder.
Lehoërff G., Ibanez F., Poniz P. & J.M. Fromentin. 1995. Hydroclimatic
relationships with planktonik time series from 1975
to 1992, in the
Planktonic time series
collected since 1975 off
KEY WORDS: time series, zoo plankton, meteorology,
hydrology,
Fromentin J.M. & F. Ibanez 1994. Year to year
changes in meteorological factors of the french
coasts during the half century. Exemples of two biological responses. Oceanologica
Acta 17: 285-296.
Chronological series (1949 to 1992) of air
temperature, precipitation, atmospheric pressure and wind in different parts of
the French coast show evidence of important year-to-year changes, trends and
cycles: seven-eight years for temperature, and around three years for
precipitation and atmospheric pressure. On the scale of
KEY WORDS: environmental effects, climatology,
meteorological data, aquatic communities, meteorology, annual variations
Baussant T., F. Ibanez & M. Etienne. 1993.
Numeric analysis of planktonic spatial patterns
revealed by echograms. Aquat. Living Resour., 6: 175-184
Observations of acoustic images made along a transect
perpendicular to the coast, off Villefranche-sur-mer,
allow one to recognize the hydrological zone corresponding to a surface density
gradient characterizing the Ligurian Sea front
(Mediterranean Sea). Combinations of statistical and geometrical parameters
from the digitized echoes enable discrimination between different classes of
patches in relation to the frontal structure during one transect record on
KEY WORDS: echosounding,
filtering, plankton, Ligurian front,
Ibanez F, J.M. Fromentin & J. Castel. 1993. Application de la méthode des somes cumulées à l'analyse des séries chronologiques
océanographiques. C.R Acad.Sci.Paris, Sciences de la
vie/Life sciences, 316: 745-748
(Ibanez F, J.M. Fromentin
& J. Castel. 1993. Application of the cumulated sum method for the analysis of
chronological oceanographic series.)
Study of long-term oceanographical
series implies to identify sequences corresponding to different states of
biological variables. A simple method, transposed from industrial control
technique, was already used in order to test the fit of ecological modelling (Radford & West, 1986). But this method can be
also adapted to recognize the location of local trends. A reference value (mean
of the series or any meaningfull value) is first substracted from the data, then these residuals are
successively added forming a cumulative function. With this function even a
small change in the mean of the series causes a strong deviation of its
representative curve. Looking at this graph gives directly date and duration of
any change. Also the slope of the line joining to points limiting an homogeneous interval allows to estimate the exact local
mean of the original series. After a simulation, to test the power of the
method, we considered the series of abundance of the copepod Acartia bifilosa , from 1978 to 1991 in the
KEY WORDS: time series, detection of changes, marine
ecological data
Ibanez F. , JC. Dauvin
& M. Etienne 1993. Comparaison des évolutions à long-terme
(1977-1990) de deux peuplements macrobenthiques de la
Baie de Morlaix (Manche Occidentale): relations avec les facteurs hydroclimatiques. J.Exp.Mar.Biol.Ecol.,
169: 181-214
(Ibanez F. , JC. Dauvin & M. Etienne 1993. Comparison
of long-term variations (1977-1990) between two macrobienne
communities of the
The quantitative changes of two benthic community from the
KEY WORDS: long-term, benthic communities, hydroclimatic fac tors,
Fromentin
J.M., F. Ibanez & P. Legendre 1993. A Phytosociological Method for interpreting Plankton data . Mar.Ecol.Progr.Series 93: 285-306.
Multivariate techniques allow to summarise
data sets but are not designed to causally model ecological phenomena. The
ambiguity of the interpretation results from the ambiguity of the scaling
space. The phytosociological method proposed by Grandjouan (1982) is a general interpretation framework
allowing to separately consider three distinct
reference spaces: a geographical space to visualise
the spatio-temporal distribution of the descriptors,
an ecological space showing the effects of the environmental variables on the
biological descriptors, and a bio-ethological space showing the statistically
meaningful species communities. It is thus possible to define the position of
each biological category and each observation along the scale of variation of
each environmental variable (hydrological position HP) or each geographic
coordinate (geographical position GP), as well as its density relative to these
scales (indicative value IV). Using continuous zooplankton data collected as a transect across the
KEY WORDS: multivariate analysis, indicative species,
plankton, Ligurian front,