Water,
Journal Year:
2022,
Volume and Issue:
14(20), P. 3295 - 3295
Published: Oct. 19, 2022
The
search
for
the
best
landscape
predictors
explaining
spatial
variability
of
stream
water
chemistry
is
one
most
important
and
recent
research
issues.
Thus,
in
current
study,
relationships
between
land
cover
indices
selected
quality
parameters
were
evaluated
regarding
example
54
lowland
temperate
streams
located
central
Poland.
From
November
2021
to
March
2022,
samples
collected
monthly
timescale,
concentrations
NH4+,
NO3−,
NO2−,
as
well
electrical
conductivity,
correlated
with
percentage
types
calculated
total
catchment
area,
buffer
zones,
cut
radius.
For
such
computing,
Corine
Land
Cover
2018
Sentinel
2
Global
datasets
used.
In
case
both
datasets,
results
indicate
significant
dependence
NO2−
concentrations,
EC
values
on
metrics.
Overall,
agricultural
lands
favored
higher
NO3−
whereas
mainly
coniferous
forests
reduced
nitrogen
pollution.
Significant
correlations
not
documented
NH4+
ions,
which
could
be
linked
point
sources
from
municipal
activity.
Correlation
performance
was
slightly
better
S2GLC
dataset,
while
scales
generally
seen
wider
zones
(250
500
m)
area.
study
provided
spatially
extensive
insight
into
impact
at
different
compounds
a
landscape.
Water Quality Research Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 22, 2024
Abstract
Few
factors
are
as
important
in
determining
water
quality
land
use/land
cover
(LULC).
Many
use
activities,
including
agriculture,
urban
development,
mining,
and
commercial
forestry,
tend
to
be
sources
of
diffuse
pollution.
By
contrast,
indigenous
vegetation
can
act
a
sink,
thus
providing
some
protection
from
anthropogenic
contamination.
Notwithstanding
the
large
body
research
demonstrating
these
facts,
decision-makers
require
clear
accessible
information
assist
them
developing
effective
management
plans
that
fully
cognisant
manifold
impacts
LULC
on
resources.
Reviewing
available
literature,
this
article,
therefore,
offers
critical
overview
typical
quality.
An
strategy
for
managing
highlighted
article
is
maintenance
sufficient
amount
unfragmented
natural
vegetation,
not
only
within
riparian
zones
but
also
across
catchment
areas.
However,
knowledge
gaps
identified
review
indicate
further
context-specific
required
determine
types
minimum
vegetative
protect
resources
pollution
potential
impact
landscape
fragmentation
ability
A
discussion
therefore
provided.
Frontiers in Forests and Global Change,
Journal Year:
2024,
Volume and Issue:
7
Published: Jan. 19, 2024
Riparian
topographical
features
can
drive
a
suite
of
ecological
indicators
(EIs)
that
shape
the
river
ecosystem.
The
mechanisms
EIs
reflect
provide
several
ecosystem
services.
We
know
little
about
responses
(indicators
plant
cover,
regeneration,
exotics,
habitat,
erosion,
and
stressors)
to
changing
stream-channel
width,
riparian
elevation
lengthy
drawdown
zones
(upstream,
midstream,
downstream)
long
rivers.
have
discovered
characteristics
affect
buffer
areas
differently
by
using
rapid
field-based
method
with
297
transects
in
inundated
regions
along
Yangtze
River
other
36
linked
tributaries
China.
Changing
widths
was
most
effective
on
downstream
least
at
midstream.
exotic
parameters
were
affected
(with
range
−0.36
<
r
0.401)
widths,
as
determined
Pearson
correlation
(
p
0.05).
In
contrast,
width
had
uppermost
impact
upstream
lowermost
downstream;
significant
habitat
≤
0.787).
followed
pattern
negatively
associated
exotics
−0.645
−0.594)
positively
correlated
regeneration
0.569).
These
results
reaffirm
imperative
need
for
studies
regionally
dependent
maintained
under
same
management
strategies
regardless
their
features.
Future
policies
should
be
formulated
enhance
service
provision,
promoting
sustainable
use
extensive
ecosystems
while
considering
EIs.
Additionally,
these
future
acknowledge
zone
factors
within
network.
Furthermore,
additional
measures
are
conserve
prevent
further
destruction.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
362, P. 121290 - 121290
Published: May 31, 2024
Land
use/land
cover
(LULC)
can
have
significant
impacts
on
water
quality
and
the
health
of
aquatic
ecosystems.
Consequently,
understanding
quantifying
nature
these
is
essential
for
development
effective
catchment
management
strategies.
This
article
provides
a
critical
review
literature
in
which
use
statistical
methods
to
model
LULC
demonstrated.
A
survey
publications,
included
hundreds
original
research
articles,
revealed
several
common
themes
findings.
However,
there
are
also
persistent
knowledge
gaps,
areas
methodological
uncertainty,
questions
application
that
require
further
study
clarification.
These
relate
primarily
appropriate
analytical
scales,
significance
landscape
configuration,
estimation
thresholds,
as
well
potentially
confounding
influence
extraneous
variables.
Moreover,
geographical
bias
published
means
need
ecologically
climatically
disparate
regions,
including
less
developed
countries
Global
South.
The
focus
this
not
provide
technical
techniques
themselves,
but
examine
important
practical
considerations
their
modelling
quality.
