Atmosphere,
Год журнала:
2024,
Номер
15(9), С. 1081 - 1081
Опубликована: Сен. 6, 2024
Surface
albedo
plays
a
pivotal
role
in
the
Earth’s
energy
balance
and
climate.
This
study
conducted
an
analysis
of
spatial
distribution
patterns
temporal
evolution
albedo,
normalized
difference
vegetation
index
(NDVI),
snow
cover
(NSC),
land
surface
temperature
(LST)
within
Qilian
Mountains
(QLMs)
from
2001
to
2022.
evaluated
spatiotemporal
correlations
with
NSC,
NDVI,
LST
at
various
scales.
Additionally,
quantified
driving
forces
relative
contributions
topographic
natural
factors
variation
QLMs
using
geographic
detectors.
The
findings
revealed
following
insights:
(1)
Approximately
22.8%
exhibited
significant
changes
albedo.
annual
average
NSC
minor
decline
rates
−0.00037
−0.05083
(Sen’s
slope),
respectively.
Conversely,
displayed
marginal
increase
rate
0.00564,
while
NDVI
experienced
notable
0.00178.
(2)
seasonal
fluctuations
LST,
collectively
influenced
overall
Mountains.
Notably,
highly
similar
trends
between
whether
intra-annual
monthly
variations,
multi-year
anomalies,
or
regional
mean
trends,
indicate
that
reflected
by
played
major
role.
area
proportion
corresponding
elevation
PSI
(permanent
ice
regions)
slightly
increased,
potentially
suggesting
slow
upward
shift
high
mountain
snowline
QLMs.
(3)
type
(LCT),
Digital
Elevation
Model
(DEM,
which
means
elevation)
key
roles
shaping
pattern
was
most
significantly
interaction
slope
NDVI.
Frontiers in Environmental Science,
Год журнала:
2025,
Номер
13
Опубликована: Фев. 20, 2025
Quantifying
the
impact
of
landscape
metrics
on
water
quality
can
offer
scientific
supports
for
conservation
and
land
use
planning.
However,
previous
studies
mainly
relied
coarse
maps,
were
lack
understanding
effects
from
physiographic
metrics.
Here,
based
in-situ
monitoring
data
in
Fujiang
river
basin,
we
used
redundancy
analysis,
variation
partitioning
Shapley
Additive
exPlanations
methods
to
assess
quality.
We
these
analyses
dry
wet
season,
circular
buffer
zone,
riparian
at
sub-basin
scale,
are
able
analyze
understand
complex
interactions
between
features
quality,
as
well
spatial
temporal
scale
effects.
The
results
indicated
that
be
ranked
following
order:
composition
(15.8%–32.2%)
>
configuration
(1.2%–19.5%)>
(−2.0%-0.6%).
Forests
grasslands
improved
whereas
farmland
impervious
surfaces
degraded
At
a
finer
types,
closed
broadleaf
evergreen
forests
while
rainfed
cropland
had
opposite
effect.
1500
m
was
key
with
highest
rate
interpretation.
relationship
marginally
stronger
during
season
than
season.
Water
by
large
relief
amplitude
slope
standard
deviation.
is
not
significantly
affected
network
density,
length
river,
or
basin
area.
These
conclusions
could
provide
science-informed
information
support
study
Land Degradation and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 27, 2025
ABSTRACT
Rapid
industrialization
and
globalization
have
led
to
significant
concerns
regarding
the
improper
utilization
of
land
resources.
This
is
particularly
troubling
for
agriculture
water
resources
from
a
sustainability
perspective.
The
growing
population
boosts
food,
agriculture,
demand.
Therefore,
scholars
policymakers
are
consistently
investigating
factors
affecting
production
attain
sustainable
development.
present
research
aims
investigate
nexus
between
green
energy
in
China.
In
doing
so,
we
employ
extended
data
China
1973
2022.
uses
several
diagnostic
measures
concludes
mixed
integration
order
variables
cointegration's
validity.
autoregressive
distributed
lag
(ARDL)
model
found
that
total
resources,
per
capita
income,
drivers
short‐
long
run.
However,
foreign
direct
investment
sole
barrier
country's
during
both
periods.
long‐run
results
further
checked
via
robustness
tests,
including
quantile
ARDL,
cointegration
regressions
(fully
modified
ordinary
least
square,
dynamic
canonical
regression),
structural
break
square.
Besides,
causal
inferences
also
variables.
study
recommends
development
projects
targeting
efficient
use
might
ensure
availability.
Zastita materijala,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
Water
is
a
vital
natural
resource
that
sustains
both
human
life
and
the
environment.
Monitoring
freshwater
quality
essential
to
assess
water
conditions
ensure
compliance
with
established
standards.
It
necessary
test
nutrient
physicochemical
parameters
of
against
national
and/or
EU
standards
before
it
used
for
various
purposes,
including
drinking,
domestic,
agricultural,
industrial
applications.
This
study
focuses
on
assessment
Shkumbini
River,
examining
distribution
levels
nutrients
along
its
course.
The
was
conducted
in
March
2022
through
in-situ
measurements
parameters,
combined
chemical
analyses
content.
results
indicate
geographical
location,
urbanization,
activities,
weather
variations
within
river
catchment
are
primary
factors
influencing
changes
quality.
Although
number
sampling
sites
small
(N=4),
measured
all
followed
normal
(tested
by
Anderson-Darling
test,
p
>
0.05)
exhibited
low
variation
(CV%
<
25%),
except
total
suspended
solids
(TSS),
which
showed
moderate
=
49%).
were
below
permitted
limits,
indicating
good
River.
finding
further
confirmed
Quality
Index
(WQI),
classified
monitoring
stations
status
(71
WQI
90).
likely
associated
temperatures
rainy
March.
outcomes
demonstrate
reliability
effectiveness
employed
model
assessing
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111673 - 111673
Опубликована: Фев. 1, 2024
To
investigate
the
longitudinal
gradient
patterns
and
factors
influencing
fish
taxonomic
functional
groups,
a
survey
involving
28
sampling
sites
was
conducted
in
Anning
River
November
2020
April
2021.
A
total
of
60
species
were
collected,
these
classified
into
4
locomotor
groups
trophic
resulting
11
combined
based
on
characteristics.
The
results
two-way
cross
similarity
analysis
(ANOSIM)
revealed
significant
changes
both
along
gradient,
while
no
seasonal
variation
observed
either
group.
Spatial
river
primarily
due
to
turnover
processes,
as
indicated
by
percentage
analysis.
Variance
partitioning
demonstrated
that
local
habitat
conditions
land
use/cover
explained
37.56%
41.33%
spatial
organizations,
respectively.
Notably,
influence
landscape
features
organization
less
than
variables.
Nevertheless,
played
more
important
role
environmental
explaining
variations
associated
with
organization.
Our
study
helps
understanding
formation
mechanisms
driven
multiple-scale
mountain
rivers.
In
addition,
our
showed
response
different
scale
differ
from
groups.
