In
eutrophic
lake
ecosystems,
cyanobacteria
typically
lead
to
unbalanced
phytoplankton
community
structure
and
low
dietary
quality
for
consumers
at
higher
trophic
levels.
However,
it
still
remains
poorly
understood
how
zooplankton
manage
respond
seasonal
spatial
differences
in
gradients
temperature
factors
retain
highly
required
nutrients
from
phytoplankton.
this
field
study,
we
investigated
seston
different
size
classes
of
temperate
subtropical
large
lakes
conditions
China.
We
used
fatty
acids
(FA)
as
investigate
eutrophication
affects
the
FA
composition
various
classes.
This
study
revealed
a
curvilinear
relationship
between
total
phosphorus
(TP)
polyunsaturated
(PUFA)
contents
edible
(‘seston’)
across
3
seasons
2
climatic
areas.
The
PUFA
content
increased
until
mesotrophic
(TP:
11-20
μg
L-1),
after
which
provision
respective
declined.
Seston
FA,
rather
than
condition
or
water
temperature,
primarily
predicted
changes
while
predictive
power
decreased
with
size.
Despite
increasing
conditions,
consistently
their
per
unit
biomass.
results
indicate
that
nutritional
value
was
highest
lakes,
selectively
retention
body
and/or
were
able
convert
endogenously
meet
size-specific
demands,
independent
location
time
(season)
measured
(from
oligo-
eutrophic).
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: March 3, 2025
Monitoring
water
quality
is
crucial
for
sustainable
management
and
meeting
the
United
Nations
Sustainable
Development
Goals.
Urbanisation,
agricultural
practices,
industrial
activities,
population
growth
increase
presence
of
biological,
chemical
physical
properties
in
bodies.
Traditional
monitoring
methods
(laboratory
situ
measurements)
are
limited
spatially,
temporarily
costly.
Satellite
remote
sensing
has
been
shown
to
provide
a
systematic,
cost-effective,
near-real-time
alternative.
This
paper
analysed
142
peer-reviewed
articles
published
between
2002
2024
from
Web
Science
Scopus
databases.
The
final
included
review
were
achieved
through
PRISMA
flowchart.
revealed
that
low-resolution
sensors
with
long-term
records,
such
as
MODIS,
commonly
applied
study
large
lakes.
In
contrast,
Landsat-8
Sentinel-2
both
lakes
dams.
These
contain
necessary
spectral
regions
quality,
where
it
was
500–600
nm
region
critical
chlorophyll
assessment,
while
640–670
used
turbidity.
Secchi
disk
depth
total
suspended
solids
assessed
using
860–1040
1570–1650
nm.
Water
research
also
focused
on
countries
China,
India,
Brazil,
South
Africa,
an
emphasis
optically
active
parameters.
There
is,
however,
non-optically
parameters,
nitrogen,
phosphorus,
temperature,
especially
small
inland
Therefore,
there
need
more
these
areas,
direct
indirect
parameter
estimation
integration
machine
learning
algorithms.
Water,
Journal Year:
2025,
Volume and Issue:
17(9), P. 1294 - 1294
Published: April 26, 2025
Sediment
is
a
core
part
of
lake
ecosystems,
and
its
organic
matter
(OM)
content
key
indicator
ecological
health
regional
carbon
cycling.
OM
provides
nutrients
for
phytoplankton
algae
in
water,
thereby
influencing
the
degree
eutrophication.
However,
excessively
high
may
trigger
water
eutrophication,
alter
sediment’s
physical
chemical
properties,
ultimately
threaten
stability
ecosystems.
This
study
innovatively
selected
Poyang
Lake,
Taihu
Qinghai
Hulun
Lake
from
China’s
four
major
geographical
regions
to
systematically
investigate
sediments’
content,
sources,
distribution
characteristics
at
different
times.
The
results
showed
that
sediments
lakes
varied
significantly
was
influenced
by
multiple
factors,
such
as
watershed
characteristics,
eutrophication
levels,
human
activities,
climate
change.
characterized
levels
agricultural
activities
urbanization
within
their
basins,
exhibit
significant
fluctuations
with
total
(TOC)
ranging
0.35%
2.9%
0.7%
2.4%,
respectively.
In
contrast,
natural
conditions
policies,
show
relatively
stable
TOC
1.3%
2.75%
1.25%
3.58%,
By
analyzing
combining
methods
carbon,
nitrogen
isotopes,
C/N
ratios,
it
possible
effectively
assess
lakes,
provide
critical
data
support
pollution
control,
play
role
cycle
management.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(24), P. 5707 - 5707
Published: Dec. 13, 2023
Chromophoric
dissolved
organic
matter
(CDOM)
is
a
significant
contributor
to
the
biogeochemical
cycle
and
energy
dynamics
within
aquatic
ecosystems.
Hence,
implementation
of
systematic
comprehensive
monitoring
governance
framework
for
CDOM
in
inland
waters
holds
importance.
This
study
conducted
retrieval
Lake
Khanka.
Specifically,
we
use
GBDT
(R2
=
0.84)
algorithm
which
performed
best
retrieving
levels
an
empirical
relationship
based
on
situ
data
between
carbon
(DOC)
indicate
distribution
DOC
indirectly.
The
performance
CDOM-DOC
scheme
was
reasonably
good,
achieving
R2
value
0.69.
algorithms
were
utilized
analysis
Sentinel-3
datasets
from
period
2016
2020
potential
factors
that
contributed
sources
DOM
also
analyzed
with
humification
index
(HIX).
(HIX
chemical
oxygen
demand
(COD))
indicated
remote
sensing
application
water
quality
management.
An
our
findings
suggests
Great
Khanka
superior
Small
Moreover,
diverse
exhibits
pattern
where
concentrations
are
generally
higher
along
shoreline
compared
center
lake.
Efficient
measures
should
be
promptly
implemented
safeguard
resources
international
boundary
lakes
such
as
systems
including
distribution,
sources,
management
would
essential
resource
protection
government
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110742 - 110742
Published: Aug. 10, 2023
The
ecological
conservation
red
line
(ECRL)
framework
plays
an
increasingly
important
role
in
biodiversity
practices
China.
Following
the
implementation
of
ECRL,
it
is
essential
to
systematically
assess
effectiveness
this
national
policy
mitigating
negative
impacts
human
disturbances
on
habitat
quality
at
landscape
and
regional
levels.
Combined
with
remote
sensing
ground
survey
data,
Integrated
Valuation
Ecosystem
Services
Trade-off
(InVEST)
model
was
used
evaluate
impact
six
major
anthropogenic
activities,
built-up
land,
roads,
mining
crop
water
pollution,
grazing,
degradation
two
grassland
river
corridors
(Kherlen
River
corridor
Wuerxun
corridor)
Northeastern
Then,
different
management
scenarios
assessed
based
ECRL
framework.
Our
findings
indicated
that
over
80%
attributed
grazing
followed
by
pollution.
Built-up
land
played
minor
roles
causing
degradation.
Comparing
scenario
no
scenario,
Kherlen
reduced
17.86%,
improved
11.11%.
Similarly,
corridor,
compared
priority
69.23%,
2.38%
scenario.
Moreover,
optimized
including
prohibition,
enclosure,
restoration
habitats,
further
both
corridors,
resulting
a
12.70%
improvement
for
3.57%
corridor.
work
provides
quantitative
optimizing
measures
ECRL.
Ecologica Montenegrina,
Journal Year:
2024,
Volume and Issue:
76, P. 168 - 186
Published: Dec. 12, 2024
Field
sampling
for
this
research
was
conducted
in
the
Southern
Caspian
Sea
with
careful
planning
to
ensure
broad
spatial
coverage
and
high-quality
data
collection.
Sampling
stations
along
each
transect
were
spaced
4
km
apart,
adjacent
transects
separated
by
10
km.
Six
cruises
summer
of
2011
under
varying
environmental
conditions
provided
a
representative
dataset
marine
ecosystem.
Key
bio-optical
components,
including
Colored
Dissolved
Organic
Matter
(CDOM)
absorption,
Chlorophyll-a
concentration
(Chl-a),
turbidity,
analyzed.
CTD
sensors
(Idronaut
OCEAN
SEVEN
316)
used
measure
physico-chemical
parameters
such
as
salinity,
temperature,
dissolved
oxygen,
while
surface
water
samples
collected
laboratory
analysis.
CDOM
absorption
measured
using
PERKIN
ELMER
Lambda
25
spectrophotometer,
fitted
an
exponential
function
calculate
like
spectral
slope
(S)
aCDOM(375).
In
situ
Chl-a
measurements
taken
Seapoint
Chlorophyll
Fluorometer,
turbidity
assessed
Turbidity
Meter.
Higher
values
aCDOM(375)
(ranging
from
0.38–3.52
m⁻¹)
observed
at
nearshore
stations,
indicating
significant
freshwater
influence.
Linear
regression
analysis
showed
weak
inverse
relationship
between
salinity
(r
=
-0.08;
R²
0.007),
suggesting
minimal
impact
on
variability.
The
match-up
revealed
that
organic
matter
products
tended
underestimate
values,
chlorophyll
overestimated
satellite
data.
lowest
mean
absolute
error
found
(0.84).
variability
components
highlights
influence
inputs
processes.
correlation
suggests
other
factors,
terrestrial
biological
activity,
may
affect
variations
region.