Microbial Ecology,
Journal Year:
2024,
Volume and Issue:
87(1)
Published: July 24, 2024
Abstract
In
aquatic
ecosystems
with
low
nutrient
levels,
organic
aggregates
(OAs)
act
as
hotspots,
hosting
a
diverse
range
of
microbial
species
compared
to
those
in
the
water
column.
Lake
eutrophication,
marked
by
intensified
and
prolonged
cyanobacterial
blooms,
significantly
impacts
material
energy
cycling
processes,
potentially
altering
ecological
traits
both
free-living
(FL)
particle-attached
(PA)
bacteria.
However,
extent
which
observed
patterns
FL
PA
bacterial
diversity,
community
assembly,
stability
extend
hypereutrophic
lakes
remains
understudied.
To
address
this
gap,
we
investigated
composition,
assembly
within
Xingyun.
Our
results
revealed
that
communities
exhibited
higher
α-diversity
than
counterparts,
coupled
discernible
taxonomic
compositions.
Both
showed
distinct
seasonality,
influenced
bloom
intensity.
Environmental
factors
accounted
for
71.1%
54.2%
variation
among
bacteria,
respectively.
The
was
predominantly
stochastic,
while
more
deterministic.
network
demonstrated
greater
stability,
complexity,
negative
interactions,
indicative
competitive
relationships,
prevalence
positive
correlations,
suggesting
mutualistic
interactions.
Importantly,
these
findings
differ
from
observations
oligotrophic,
mesotrophic,
eutrophic
lakes.
Overall,
research
provides
valuable
insights
into
interplay
fractions,
enhancing
our
understanding
status
blooms
shaping
communities.
Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(20), P. 5136 - 5136
Published: Oct. 14, 2022
Lake
ecosystem
eutrophication
is
a
crucial
water
quality
issue
that
can
be
efficiently
monitored
with
remote
sensing.
GF-6
WFV
high
spatial
and
temporal
resolution
provides
comprehensive
record
of
the
dynamic
changes
in
parameters
lake.
In
this
study,
based
on
images
field
sampling
data
Xingkai
from
2020
to
2021,
accuracy
three
machine
learning
models
(RF:
random
forest;
SVR:
support
vector
regression;
BPNN:
back
propagation
neural
network)
was
compared
by
considering
11
combinations
surface
reflectance
different
wavebands
as
input
variables
for
learning.
We
mapped
spatiotemporal
variations
Chl-a
concentrations
20192021
integrated
algorithms
demonstrate
RF
obtained
better
degree
derived-fitting
(Calibration:
N
=
82,
RMSE
0.82
μg/L,
MAE
0.57
slope
0.94,
R2
0.98;
Validation:
40,
2.12
1.58
0.91,
0.89,
RPD
2.98).
The
interannual
variation
2019
2021
showed
concentration
low
June
July,
while
maximum
values
were
observed
October
November,
thus
showing
significant
seasonal
differences.
Spatial
distribution
higher
Xiao
than
Da
Lake.
Nutrient
inputs
(N,
P)
other
environmental
factors
such
temperature
could
have
an
impact
characteristics
Chl-a,
therefore,
combining
satellite
realize
large-scale
monitoring
more
effective.
Our
results
remote-sensing-based
provided
effective
method
monitor
lake
well
technical
methodological
reference
inland
parameter
inversion.
Diversity and Distributions,
Journal Year:
2024,
Volume and Issue:
30(5)
Published: March 15, 2024
Abstract
Aim
Understanding
the
distance–decay
relationship
(DDR)
has
been
considered
important
because
it
reflects
a
combination
of
several
ecological
processes
such
as
dispersal
limitation
and
environmental
sorting.
However,
effects
human
disturbances
on
DDR
are
poorly
known,
especially
in
freshwater
lakes.
This
study
is
aimed
to
examine
how
anthropogenic
eutrophication
modified
relationships
between
three
facets
(taxonomic,
functional
phylogenetic)
macroinvertebrate
beta
diversity
geographic
distances
across
30
Location
The
Yangtze
River
floodplain,
China.
Methods
We
used
Mantel
tests
multiple
assemblage
dissimilarities
(overall
diversity,
replacement
richness
difference
components)
distances.
Distance‐based
redundancy
analysis
(dbRDA)
associated
variation
partitioning
procedures
were
applied
explore
relative
contributions
spatial
factors
diversity.
Results
found
that
none
was
related
distance,
but
all
significantly
mainly
mirroring
eutrophication‐related
variables.
Based
approach,
assemblages
examined
almost
exclusively
structured
by
with
eutrophication,
while
variables
had
negligible
effect.
Nevertheless,
different
did
not
decrease
(i.e.,
no
homogenization
trend)
lake
groups
showing
highest
levels,
implying
complex
influences
driving
or
differentiation
compositional
dissimilarity.
Main
Conclusions
Our
findings
suggested
high
degrees
acted
an
filter
modify
relationships,
possibly
via
decreasing
importance
shaping
studied
Given
sensitivity
patterns
we
this
study,
recommend
role
should
be
incorporated
into
research
general
like
DDR.
