Frontiers in Marine Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Dec. 20, 2024
Mastering
the
characteristics
of
planktonic
microbial
communities
under
influence
basin-scale
environmental
factors
can
provide
scientific
basis
to
develop
more
targeted
protection
and
restoration
measures.
Here,
an
DNA
metabarcoding
technology
was
applied
investigate
phytoplankton
microzooplankton
simultaneously
along
whole
basin
Jialing
River,
one
most
important
rivers
in
Southwest
China
with
large
scale
altitude
gradient
water
temperature
discrepancy.
Along
river-way
from
upper
lower
reach,
upward
trend
richness
both
observed
significant
positive
negative
correlations
(Spearman
correlation,
p
<
0.05),
respectively.
Significant
variations
their
compositions
river
were
also
uncovered
Chrysophyta
Foraminifera
potential
keystones
recognized
by
co-occurrence
network
analysis.
Additionally,
exponential
distance-decay
similarities
detected
for
microzooplankton,
which
stronger
phytoplankton.
Based
on
results
variation
partitioning
analysis
null
model,
governed
selection
than
those
microzooplankton.
Furthermore,
showed
a
declining
complexity
stability
reaches.
These
findings
could
serve
establish
investigation
multiple
artificial
modifications.
Limnetica,
Journal Year:
2025,
Volume and Issue:
45(1), P. 1 - 1
Published: March 3, 2025
Rivers
provide
vital
ecosystem
services
for
populations.
However,
these
ecosystems
face
several
anthropogenic
threats,
including
macrolitter
pollution,
and
their
impacts
remain
inadequately
understood.
This
study
aimed
to
evaluate
the
ecological
status
of
Leça
river
(northern
Portugal)
according
elements
defined
by
Water
Framework
Directive
(WFD)
quantify
marginal
as
a
new
tool
water
quality
assessment.
Physical,
chemical,
biological
(photosynthetic
pigments;
benthic
macroinvertebrates)
were
quantified
status,
seven
sites
(P1
P7)
along
throughout
four
seasons
(autumn/23,
winter/24,
spring/24,
summer/24).
Macrolitter
was
collected
on
riverbank
each
site
categorized
standard
protocols.
Based
physical
chemical
elements,
achieved
Good
in
P1,
Moderate
P4
P7
(mainly
due
nutrient
enrichment)
with
P2
P3
varying
between
Moderate.
The
macroinvertebrate
community
varied
between:
P1;
Poor
P3;
P5;
Bad
P6
P7.
From
1717
items
(belonging
86
categories),
artificial
polymer/plastic
most
frequent
(56.67
%).
More
abundance
diversity
P7,
coinciding
increasing
anthropic
presence.
A
multivariate
analysis
revealed
that
originating
from
recreational
activities
associated
fewer
alterations
community,
while
deposition
domestic,
industrial,
commercial
residues
more
degraded
conditions.
results
suggest
evaluation
can
be
used
indicate
threaten
aquatic
ecosystems.
Biology,
Journal Year:
2025,
Volume and Issue:
14(4), P. 333 - 333
Published: March 25, 2025
Functional
groups
are
an
effective
method
for
assessing
water
quality.
From
January
2020
to
December
2023,
the
phytoplankton
and
environmental
variables
at
five
sites
in
Baihua
Reservoir
(BHR)
were
investigated
once
a
month.
The
succession
rate
(SR)
average
variation
degree
(AVD)
of
functional
determined,
corresponding
driving
factors
analyzed
by
using
Random
Forest
model,
hierarchical
partitioning,
Mantel
test.
A
total
95
species
belonging
7
taxonomic
categories
identified,
which
can
be
divided
into
27
8
dominant
(B,
D,
L0,
P,
S1,
W1,
W2,
Y).
B,
Y
occupied
positions
spatiotemporal
succession,
indicating
that
body
was
moderate
eutrophication
state.
Water
temperature,
nitrogen,
transparency
key
groups’
succession.
Total
phosphorus,
permanganate
index,
dissolved
oxygen
significantly
positively
correlated
with
AVD
(n
=
230;
p
<
0.01).
SR
not
only
directly
affected
0.05)
but
also
indirectly
affecting
physicochemical
factors.
Understanding
relationship
between
stability,
is
great
significance
algae
management
prevention
bloom.
Water,
Journal Year:
2024,
Volume and Issue:
16(19), P. 2775 - 2775
Published: Sept. 29, 2024
Integrated
rice–fish
farming,
an
agricultural
practice
that
combines
cultivating
rice
and
breeding
fish
in
the
same
field,
has
attracted
widespread
attention.
However,
there
is
limited
research
on
how
rice–carp
coculture
impacts
community
structure
of
phytoplankton
microzooplankton
paddy
water.
This
study
employed
eDNA
metabarcoding
sequencing
to
analyze
composition
a
monoculture
system
(RM)
(RF).
Following
annotation,
we
identified
9
phyla,
89
families,
275
genera,
249
species
phytoplankton,
along
with
20
phyla
(or
subphyla
classes),
85
222
179
microzooplankton.
The
alpha
diversity
indices
revealed
significantly
higher
richness,
diversity,
evenness
RF
group
compared
RM
during
grain-filling
stage.
Principal
coordinates
analysis
(PCoA)
demonstrated
notable
differences
compositions
between
two
groups
across
various
growth
stages.
Composition
showed
increased
relative
abundance
dominant
such
as
Bacillariophyta,
Chrysophyta,
Euglenophyta
while
decreasing
Cryptophyta.
In
microzooplankton,
resulted
Intramacronucleata
(subphylum)
decrease
Conoidasida
(class).
conclusion,
enhances
plankton,
particularly
stage,
simultaneously
alters
plankton
These
findings
enhance
understanding
broader
integrated
farming
ecosystems,
emphasizing
alterations
aquatic
microorganisms
Current World Environment,
Journal Year:
2024,
Volume and Issue:
19(2), P. 796 - 809
Published: Sept. 20, 2024
The
Babon
River
is
an
integral
component
of
Semarang
City's
drainage
system,
which
heavily
impacted
by
the
influx
waste,
leading
to
elevated
water
temperatures
caused
global
warming
and
decreased
pH
levels
due
acid
rain.
two
main
environmental
factors
that
affect
phytoplankton
growth
productivity
are
temperature
nutrient
availability.
Nutrients
can
change
balance
natural
food
webs
aquatic
ecosystems.
Meanwhile,
metals
toxic
accumulate
in
biota
tissues.
This
study
examined
how
nutrients,
pH,
temperature,
heavy
affected
diversity
abundance
phytoplankton.
Water
samples
were
collected
from
7
observation
stations
representing
upstream,
middle,
downstream
rivers.
Observations
at
each
station
made
3
times
months
April-May,
June-July,
August-September.
Temperature
measured
situ
with
HORIBA
Checker.
Analysis
nitrate,
phosphate,
was
carried
out
AAS.
results
showed
dominant
Rivers
consisted
Bacillariophyceae,
Chlorophyceae,
Cyanophyceae.
There
no
against
all
independent
variables
(temperature,
Cd,
Total
Cr,
Pb
concentrations)
dependent
(number
genera,
abundance,
index
phytoplankton)
sampling
station's
location.
However,
time
concentrations,
location
effect
more
than
time,
so
did
not
contribute
significantly
variables.