Hydrological Processes,
Год журнала:
2024,
Номер
38(11)
Опубликована: Ноя. 1, 2024
ABSTRACT
Land
use
change,
as
a
major
driving
factor
of
watershed
hydrological
process,
has
significant
influence
on
change.
In
addition,
series
models,
important
tools
for
simulating
impacts,
are
widely
employed
in
studying
land
However,
when
employing
model
to
analyse
the
impacts
changes,
most
previous
studies
focused
evolution
historical
change
and
lacked
reasonable
predictions
future
use.
Therefore,
it
is
necessary
extend
such
scenarios
cope
with
possible
variations
basin.
Given
this,
this
paper
making
Wuwei
section
Shiyang
River
Basin
study
area,
coupled
SWAT
(Soil
Water
Assessment
Tool)
simulation
CA‐Markov
(cellular
automata‐Markov
chain)
prediction
regional
effects
caused
by
changes.
general
directly
uses
system‐generated
suitability
atlas.
contrast,
applied
logistic
regression
Multi‐criteria
evaluation
(MCE)
methods
construct
atlas,
thereby
establishing
Logistic‐CA‐Markov
MCE‐CA‐Markov
models.
Based
results,
main
results
follows:
(1)
The
area
mainly
grassland
barren,
accounting
more
than
80%.
Additionally,
forest
changing
at
highest
rate
among
all
types.
(2)
terms
percentage
forest,
predicted
(Multi‐criteria
evaluation‐cellular
largest
coverage
(57.78%),
whereas
Logistic
lowest
(54.69%),
indicating
that
former
pays
attention
sustainable
development
ecological
environment.
(3)
area's
R
2
=
0.83,
NSE
0.79,
PBIAS
−18.6%,
validation
0.81,
0.76,
−17.8%
demonstrate
favourable
application
model.
(4)
simulated
runoff
under
scenarios,
amount
increasing
would
eventually
rise
water
yield
(WYLD)
lateral
(LATQ),
subsurface
(GWQ),
reducing
surface
(SURQ).
contributes
better
understanding
impact
resources
balance,
thus
guiding
management
development.
Abstract
Vegetation
plays
a
crucial
role
in
nature,
with
intricate
interactions
between
it
and
the
geographical
environment.
The
Yangtze
River
Basin
(YRB)
refers
to
third
largest
river
basin
globally
an
essential
ecological
security
barrier
China.
Monitoring
vegetation
dynamics
is
of
profound
significance
for
addressing
climate
change,
soil
erosion,
biodiversity
loss
basin's
ecosystems.
Here,
we
investigate
spatiotemporal
variations
at
both
land
cover
scales
YRB
from
2000
2020.
We
elucidate
determinants
driving
changes
explore
future
normalized
difference
index
(NDVI)
trends.
results
indicate
that
NDVI
increased
rate
0.0032
year
−1
(
p
<
0.01)
over
past
21
years,
anticipated
maintain
upward
trend
future.
Regions
upper
middle
reaches
demonstrated
higher
NDVI,
whereas
regions
headwater
area
lower
showed
NDVI.
Significant
improvement
was
primarily
concentrated
central
part
basin,
while
noticeable
degradation
observed
eastern
region.
Temperature
wind
speed
were
identified
as
primary
controlling
factors
affecting
greenness.
Global‐scale
oscillations
played
significant
periodic
La
Niña
events
tending
increase
El
Niño
hindered
its
rise.
Land
types
influenced
by
long‐term
natural
human
activities,
although
short‐term
might
be
more
affected
latter.
Our
findings
provide
valuable
insights
into
mechanisms
behind
variability
driven
multiple
variables,
strong
carbon
sink
capacity
advances
conservation
development
Forests,
Год журнала:
2024,
Номер
15(6), С. 1039 - 1039
Опубликована: Июнь 16, 2024
Revealing
the
relationship
between
land
use
changes
and
soil
erosion
provides
a
reference
for
formulating
future
strategies.
This
study
simulated
historical
based
on
RULSE
GeoSOS-FLUS
models
used
random
forest
model
to
explain
relative
importance
of
natural
anthropogenic
factors
erosion.
The
main
conclusions
are
as
follows:
(1)
From
1990
2020,
significant
in
occurred
Kunming,
with
continuous
reduction
woodland,
grassland,
cropland,
being
converted
into
construction
land,
which
grew
by
195.18%
compared
1990.
(2)
During
this
period,
modulus
decreased
from
133.85
t/(km²·a)
130.32
loss
74,485.46
t/a,
mainly
due
conversion
cropland
ecological
lands
(woodland,
grassland).
(3)
expansion
will
continue,
it
is
expected
that
2050,
decrease
3.77
t/(km²·a),
4.27
3.27
under
development,
rapid
protection
scenarios,
respectively.
However,
scenario,
increased
0.26
2020.
(4)
spatial
pattern
influenced
both
factors,
human
activities
intensify
future,
influence
further
increase.
Traditionally,
thought
increase
loss.
Our
may
offer
new
perspective
provide
planning
management
Kunming.
Journal of Arid Land,
Год журнала:
2023,
Номер
15(12), С. 1455 - 1473
Опубликована: Дек. 1, 2023
Abstract
The
Ili
River
Delta
(IRD)
is
an
ecological
security
barrier
for
the
Lake
Balkhash
and
important
water
conservation
area
in
Central
Asia.
In
this
study,
we
selected
IRD
as
a
typical
research
area,
simulated
yield
from
1975
to
2020
using
module
of
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
model.
We
further
analyzed
temporal
spatial
variations
2020,
investigated
main
driving
factors
(precipitation,
potential
evapotranspiration,
land
use/land
cover
change,
inflow
River)
variation
based
on
linear
regression,
piecewise
Pearson’s
correlation
coefficient
analyses.
results
indicated
that
showed
decreasing
trend,
distribution
pattern
was
“high
east
low
west”;
overall,
all
use
types
decreased
slightly.
volume
grassland
most
reduced,
although
increased
owing
River.
At
same
time,
has
led
expansion
wetland
areas,
improvement
vegetation
growth,
increase
regional
thus
resulting
overall
reduction
conservation.
depth
precipitation
had
similar
patterns;
change
climate
reason
decline
function
delta.
reservoir
upper
reaches
regulated
runoff
into
Balkhash,
promoted
restoration,
positive
effect
conservation;
however,
cannot
offset
negative
enhanced
evapotranspiration.
These
provide
reference
rational
allocation
resources
ecosystem
protection
IRD.
Environmental Quality Management,
Год журнала:
2025,
Номер
34(3)
Опубликована: Янв. 24, 2025
ABSTRACT
Assessing
soil
and
sediment
loss
are
the
main
aims
of
paper
using
Revised
Universal
Soil
Loss
Equation
(RUSLE)
InVEST
SDR
models
in
Ken
River
Basin
(KRB).
The
annual
varied
from
few‐ton/hectare/year
to
1630.5.
high
erosion
susceptibility
was
prevalent
elevated
area
low
severity
seen
low‐lying
plains
middle
lower
reaches.
maximum
export
(430.16‐ton/hectare/year)
noticed
hills
Vindhyans,
Bundelkhand,
Deccan
traps.
Contrary
this
transport
observed
flat
alluvium
plains.
conservation
practices
slightly
more
effective
KRB.
Its
crop
cover
reduces
impact
rain's
kinetic
energy,
increase
recharge,
mitigates
erosion.
These
research
output
may
be
helpful
planners
minimizing
enhancing
agricultural
productivity.
Journal of Environmental Management,
Год журнала:
2025,
Номер
376, С. 124523 - 124523
Опубликована: Фев. 16, 2025
Rapid
urbanization
and
climate
change
exacerbate
soil
erosion
globally,
threatening
ecosystem
services
sustainable
development.
However,
current
predictive
studies
on
future
often
lack
comprehensive
consideration
of
the
interactions
between
land
use
change.
This
study
proposed
a
scenario
analysis
framework
that
integrated
four
Shared
Socioeconomic
Pathways
(SSPs)
from
CMIP6
with
bespoke
land-use
scenarios
(Inertial
Development
(IDS),
Urban
Priority
(UDPS),
Ecological
Protection
(EPPS),
Farmland
(FPPS))
to
create
16
scenarios,
allowing
for
more
nuanced
understanding
potential
trajectories.
The
results
indicated
(1)
compared
baseline
period
(2000-2020),
in
Central
Yunnan
Agglomeration
(CYUA)
would
improve,
albeit
significant
differences
among
scenarios.
most
notable
improvement
was
under
EPPS
+
SSP1-2.6
(ScC1).
(2)
lower
Jinsha,
upper
Nanpan,
Red
river
basins
were
high-risk
areas
CYUA,
each
dominated
by
different
factors,
necessitating
differentiated
control
measures.
(3)
Land-use
jointly
influenced
direction
development,
lightest
occurring
heaviest
FPPS.
largest
decrease
occurs
SSP1-2.6,
whereas
smallest
SSP5-8.5.
(4)
Climate
had
impact
than
change,
reduction
rates
modulus
area
relative
past
20
years
being
9%
3.77%,
respectively,
approximately
eight
times
magnitude
recommends
reducing
carbon
emissions,
enhancing
vegetation
cover,
controlling
slope
development
effectively
mitigate
risk
CYUA
promote
regional
method
provides
new
insights
into
global
small-scale
predictions.
