Abstract.
Plankton
form
the
base
of
marine
food
web
and
are
sensitive
indicators
environmental
change.
time
series
therefore
an
essential
part
monitoring
progress
towards
global
biodiversity
goals,
such
as
Convention
on
Biological
Diversity
Aichi
Targets,
for
informing
ecosystem-based
policy,
EU
Marine
Strategy
Framework
Directive.
Multiple
plankton
programmes
exist
in
Europe,
but
differences
sampling
analysis
methods
prevent
integration
their
data,
constraining
utility
over
large
spatio-temporal
scales.
The
Lifeform
Extraction
Tool
brings
together
disparate
European
datasets
into
a
central
database
from
which
it
extracts
abundance
functional
groups,
called
âlifeformsâ,
according
to
shared
biological
traits.
This
tool
has
been
designed
make
complex
accessible
meaningful
public
interest,
scientific
discovery.
It
allows
examination
large-scale
shifts
lifeform
or
distribution
(for
example,
holoplankton
being
partially
replaced
by
meroplankton),
providing
clues
how
environment
is
changing.
method
enables
with
different
taxonomic
methodologies
be
used
provide
insights
response
multiple
stressors
robust
policy
evidence
decision
making.
generated
currently
inform
UK's
Strategy,
EU's
Directive,
Protection
Environment
North-East
Atlantic
(OSPAR)
assessments.
integrates
155â000
samples,
containing
44
million
records,
nine
within
UK
seas,
collected
between
1924
2017.
Additional
can
added,
updated.
hosted
Archive
Species
Habitats
Data
(DASSH)
at
https://www.dassh.ac.uk/lifeforms/
(last
access:
22
November
2021,
Ostle
et
al.,Â
2021).
outputs
linked
specific,
DOI-ed,
versions
Traits
Master
List
each
underlying
dataset.
ICES Journal of Marine Science,
Journal Year:
2021,
Volume and Issue:
79(3), P. 830 - 843
Published: Dec. 20, 2021
Abstract
The
interannual
variations
in
absolute
and
relative
densities
of
copepods
from
the
neritic
waters
southeastern
Bay
Biscay
their
relationship
to
climate
teleconnections
local
environmental
factors
were
assessed
using
time
series
for
1998–2015
period.
Opposite
patterns
variation
spring
Acartia
clausi
Centropages
typicusspecies
vs.
summer/autumn
species,
mainly
Oncaea
media,
but
also
Ditrichocorycaeus
anglicus,
Oithona
nana,
Temora
stylifera,
plumifera
detected.
This
type
opposite
observed
between
A.
summer
Paracalanus
parvus
species.
These
density
positively
correlated
all
seasons
North
Atlantic
Oscillation
(NAO),
East
pattern
(EA),
autumn
water
temperature
chlorophyll
a.
They
negatively
EA
pattern,
winter
Multidecadal
(AMO)
temperature,
upwelling
index
seasons.
In
these
copepod
two
regime
shifts
detected,
one
2008
towards
an
increase
species
other
2014–2015
latter
shift
coincides
with
abrupt
community
predicted
literature
2014.
ICES Journal of Marine Science,
Journal Year:
2022,
Volume and Issue:
79(3), P. 727 - 740
Published: March 15, 2022
Abstract
A
total
of
five
mesozooplankton
time
series
data
sets
were
assembled
to
compare
the
seasonal
and
interannual
patterns
abundance
calanoid
copepods
in
Western
English
Channel
(Station
L4),
Celtic
Sea,
Bay
Biscay
(Continuous
Plankton
Recorder),
Cantabrian
Sea
(RADIALES
series,
Santander,
St-4
St-6)
from
January
1992
December
1999.
strong
component
taxonomic
composition
was
detected
at
locations
considered.
There
also
a
latitudinal
effect
on
diversity
each
location,
southernmost
being
more
diverse.
The
dynamics
year-to-year
variability
two
copepod
species:
Calanus
helgolandicus
Acartia
clausi
studied
detail.
pattern
cycles
both
species
observed.
peaks
occur
earlier
spring
warmer
southern
region
move
northwards,
consistent
with
temperature
regimes
supporting
broad
concept
that
occupy
thermal
niche
as
well
space.
degree
between
sites
species.
No
clear
trends,
but
some
coherent
events
among
sets,
reveal
regional
response
environmental
forcing
factors.
Correlations
suggest
possible
connections
indices
like
North
Atlantic
Oscillation
Gulf
Stream
Wall
index.
positive
correlation
NAO
C.
station
L4
off
Plymouth;
however,
relationship
opposite
expected
based
previous
results.
Despite
differences
sampling
techniques
used
within
dataset,
results
are
comparable
terms
detected.
Estuarine Coastal and Shelf Science,
Journal Year:
2022,
Volume and Issue:
272, P. 107878 - 107878
Published: April 29, 2022
The
realized
ecological
niches
of
native
zooplankton
and
non-indigenous
species
(NIS)
were
analysed
in
the
contrasting
estuaries
Bilbao
Urdaibai
from
1998
to
2015
order
study
their
responses
particular
features
each
estuary
biotic
abiotic
changes
along
period.
marginality
tolerance
taxa
was
estimated
for
two
together
using
OMI
analysis,
whilst,
by
means
WitOMI
differentiated
into
spatial
subniches
assess
differences
between
temporal
determine
variations
time
within
estuary.
niche
overlap
main
NIS
calculated
with
D-metric.
Results
showed
that
combined
effect
salinity
gradients
seasonal
variations,
linked
temperature,
defined
spatio-temporal
overall
environmental
scenario
both
estuaries.
Thus,
those
factors
separated
winter-spring
neritic,
summer-autumn
warm
water
affinity
brackish
limnetic
species.
Secondarily,
river
discharge
hydrological
stability
accounted
higher
presence
freshwater
some
tychoplanktonic
organisms
Urdaibai.
At
regional
scale
reflected
a
combination
breadth
difference
abundance
number
not
clearly
explained
variables
studied
Urdaibai,
whilst
new
arriving
occupied
well
better
discrimination
generalist
specialist
behaviours
Bilbao.
This
related
inherent
estuary,
which
make
more
refractory
settlement
Moreover,
Bilbao,
several
neritic
experienced
attributed
improvement
rehabilitation
plans
system
impact
arrived
during
In
only
small
attributable
limited
inferred,
since
no
meaningful
conditions
perceived.
Hydrobiologia,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 29, 2023
Abstract
The
zooplankton
of
five
estuaries
the
Basque
coast
(southeast
Bay
Biscay)
was
surveyed
in
summer
2019
to
check
intraregional
spread
exotic
species
and
analyse
cross-estuary
differences
brackish
neritic
communities
related
arrival
summertime
geographic
gradient
water
temperature.
Results
revealed
that
all
studied
have
been
colonized
by
Oithona
davisae
but
not
Acartia
tonsa
Pseudodiaptomus
marinus
.
Environmental
constraints
due
estuarine
hydrological
features
partly
explained
such
differences,
role
secondary
opportunities
remained
less
clear.
Cross-estuary
community
mainly
reflected
changes
dominance
native
bifilosa
relative
different
copepod
species.
holoplankton
differed
contribution
thermophilic
agreement
with
thermal
west–east
increase
surface
temperature
inner
Biscay
summer.
detection
large
numbers
larvae
crab
Rhithropanopeus
harrisii
only
one
highlighted
benthic
enhancing
meroplankton.
Differences
or
as
a
function
salinity
distance
from
coastline
were
also
explored.
EKAIA Euskal Herriko Unibertsitateko Zientzi eta Teknologi Aldizkaria,
Journal Year:
2020,
Volume and Issue:
unknown, P. 299 - 320
Published: April 30, 2020
Antxoa
arrantza-munduko
genero
pelagiko
garrantzitsuenetariko
bat
da.
Bizkaiko
Golkoan,
2005
eta
2010
bitartean
antxoaren
arrantza
debekatu
egin
zen
aurreko
urteetan
izandako
errekrutamendu
baxuak
zirela
eta.
Halakorik
errepikatu
ez
dadin
populazioaren
egoera
honi
eragiten
dioten
faktoreak
zeintzuk
diren
jakitea
garrantzitsua
da;
hala
nola
tamaina
handiko
indibiduoen
kopurua
zein
den,
harrapariak,
korronteak,
parasitoak,
birusak
bakterioak,
ibaien
lumak,
zooplanktonaren
(beraren
elikagaia)
ugaritasuna
komunitatearen
estruktura/dibertsitatea
etab.
Antxoaren
biomasan
(eta
errekrutamenduan)
zuzenean
duten
faktore
horietaz
gainera,
badira
zeharkako
eragile
batzuk
ere,
elikagai
nagusia
den
zooplanktonean
dutenak
hain
zuzen
ere.
Adibidez,
uraren
tenperatura,
fitoplanktona,
gazitasuna,
upwellinga,
Eragile
horiek
kontuan
hartzeak
ondorioak
ekarri
ditzake
etorkizuneko
eta,
beraz,
aztertzea
ezinbestekoa
Abstract.
Plankton
form
the
base
of
marine
food
web
and
are
sensitive
indicators
environmental
change.
time
series
therefore
an
essential
part
monitoring
progress
towards
global
biodiversity
goals,
such
as
Convention
on
Biological
Diversity
Aichi
Targets,
for
informing
ecosystem-based
policy,
EU
Marine
Strategy
Framework
Directive.
Multiple
plankton
programmes
exist
in
Europe,
but
differences
sampling
analysis
methods
prevent
integration
their
data,
constraining
utility
over
large
spatio-temporal
scales.
The
Lifeform
Extraction
Tool
brings
together
disparate
European
datasets
into
a
central
database
from
which
it
extracts
abundance
functional
groups,
called
âlifeformsâ,
according
to
shared
biological
traits.
This
tool
has
been
designed
make
complex
accessible
meaningful
public
interest,
scientific
discovery.
It
allows
examination
large-scale
shifts
lifeform
or
distribution
(for
example,
holoplankton
being
partially
replaced
by
meroplankton),
providing
clues
how
environment
is
changing.
method
enables
with
different
taxonomic
methodologies
be
used
provide
insights
response
multiple
stressors
robust
policy
evidence
decision
making.
generated
currently
inform
UK's
Strategy,
EU's
Directive,
Protection
Environment
North-East
Atlantic
(OSPAR)
assessments.
integrates
155â000
samples,
containing
44
million
records,
nine
within
UK
seas,
collected
between
1924
2017.
Additional
can
added,
updated.
hosted
Archive
Species
Habitats
Data
(DASSH)
at
https://www.dassh.ac.uk/lifeforms/
(last
access:
22
November
2021,
Ostle
et
al.,Â
2021).
outputs
linked
specific,
DOI-ed,
versions
Traits
Master
List
each
underlying
dataset.
Abstract.
Plankton
form
the
base
of
marine
food
web
and
are
sensitive
indicators
environmental
change.
time
series
therefore
an
essential
part
monitoring
progress
towards
global
biodiversity
goals,
such
as
Convention
on
Biological
Diversity
Aichi
Targets,
for
informing
ecosystem-based
policy,
EU
Marine
Strategy
Framework
Directive.
Multiple
plankton
programmes
exist
in
Europe,
but
differences
sampling
analysis
methods
prevent
integration
their
data,
constraining
utility
over
large
spatio-temporal
scales.
The
Lifeform
Extraction
Tool
brings
together
disparate
European
datasets
into
a
central
database
from
which
it
extracts
abundance
functional
groups,
called
âlifeformsâ,
according
to
shared
biological
traits.
This
tool
has
been
designed
make
complex
accessible
meaningful
public
interest,
scientific
discovery.
It
allows
examination
large-scale
shifts
lifeform
or
distribution
(for
example,
holoplankton
being
partially
replaced
by
meroplankton),
providing
clues
how
environment
is
changing.
method
enables
with
different
taxonomic
methodologies
be
used
provide
insights
response
multiple
stressors
robust
policy
evidence
decision
making.
generated
currently
inform
UK's
Strategy,
EU's
Directive,
Protection
Environment
North-East
Atlantic
(OSPAR)
assessments.
integrates
155â000
samples,
containing
44
million
records,
nine
within
UK
seas,
collected
between
1924
2017.
Additional
can
added,
updated.
hosted
Archive
Species
Habitats
Data
(DASSH)
at
https://www.dassh.ac.uk/lifeforms/
(last
access:
22
November
2021,
Ostle
et
al.,Â
2021).
outputs
linked
specific,
DOI-ed,
versions
Traits
Master
List
each
underlying
dataset.
Abstract.
Plankton
form
the
base
of
marine
food
web
and
are
sensitive
indicators
environmental
change.
time
series
therefore
an
essential
part
monitoring
progress
towards
global
biodiversity
goals,
such
as
Convention
on
Biological
Diversity
Aichi
Targets,
for
informing
ecosystem-based
policy,
EU
Marine
Strategy
Framework
Directive.
Multiple
plankton
programmes
exist
in
Europe,
but
differences
sampling
analysis
methods
prevent
integration
their
data,
constraining
utility
over
large
spatio-temporal
scales.
The
Lifeform
Extraction
Tool
brings
together
disparate
European
datasets
into
a
central
database
from
which
it
extracts
abundance
functional
groups,
called
âlifeformsâ,
according
to
shared
biological
traits.
This
tool
has
been
designed
make
complex
accessible
meaningful
public
interest,
scientific
discovery.
It
allows
examination
large-scale
shifts
lifeform
or
distribution
(for
example,
holoplankton
being
partially
replaced
by
meroplankton),
providing
clues
how
environment
is
changing.
method
enables
with
different
taxonomic
methodologies
be
used
provide
insights
response
multiple
stressors
robust
policy
evidence
decision
making.
generated
currently
inform
UK's
Strategy,
EU's
Directive,
Protection
Environment
North-East
Atlantic
(OSPAR)
assessments.
integrates
155â000
samples,
containing
44
million
records,
nine
within
UK
seas,
collected
between
1924
2017.
Additional
can
added,
updated.
hosted
Archive
Species
Habitats
Data
(DASSH)
at
https://www.dassh.ac.uk/lifeforms/
(last
access:
22
November
2021,
Ostle
et
al.,Â
2021).
outputs
linked
specific,
DOI-ed,
versions
Traits
Master
List
each
underlying
dataset.
Abstract.
Plankton
form
the
base
of
marine
food
web
and
are
sensitive
indicators
environmental
change.
time
series
therefore
an
essential
part
monitoring
progress
towards
global
biodiversity
goals,
such
as
Convention
on
Biological
Diversity
Aichi
Targets,
for
informing
ecosystem-based
policy,
EU
Marine
Strategy
Framework
Directive.
Multiple
plankton
programmes
exist
in
Europe,
but
differences
sampling
analysis
methods
prevent
integration
their
data,
constraining
utility
over
large
spatio-temporal
scales.
The
Lifeform
Extraction
Tool
brings
together
disparate
European
datasets
into
a
central
database
from
which
it
extracts
abundance
functional
groups,
called
âlifeformsâ,
according
to
shared
biological
traits.
This
tool
has
been
designed
make
complex
accessible
meaningful
public
interest,
scientific
discovery.
It
allows
examination
large-scale
shifts
lifeform
or
distribution
(for
example,
holoplankton
being
partially
replaced
by
meroplankton),
providing
clues
how
environment
is
changing.
method
enables
with
different
taxonomic
methodologies
be
used
provide
insights
response
multiple
stressors
robust
policy
evidence
decision
making.
generated
currently
inform
UK's
Strategy,
EU's
Directive,
Protection
Environment
North-East
Atlantic
(OSPAR)
assessments.
integrates
155â000
samples,
containing
44
million
records,
nine
within
UK
seas,
collected
between
1924
2017.
Additional
can
added,
updated.
hosted
Archive
Species
Habitats
Data
(DASSH)
at
https://www.dassh.ac.uk/lifeforms/
(last
access:
22
November
2021,
Ostle
et
al.,Â
2021).
outputs
linked
specific,
DOI-ed,
versions
Traits
Master
List
each
underlying
dataset.