Land,
Journal Year:
2023,
Volume and Issue:
12(10), P. 1839 - 1839
Published: Sept. 26, 2023
In
the
past
20
years,
global
economy
has
undergone
tremendous
changes
with
rapid
industrialization
and
urbanization.
Cultivated
land
is
an
important
spatial
carrier
for
human
production
life,
its
use
pattern
also
socioeconomic
development.
Natural,
economic,
social,
policy
factors
jointly
drive
cultivated
transition
(CLUT).
However,
spatiotemporal
evolution
characteristics
of
CLUT
at
national
scale
have
not
yet
been
clarified
in
China.
Factors
that
play
a
leading
role
are
unclear.
To
this
end,
paper
explores
analyzes
main
drivers
differentiation
rules
based
on
relevant
data
from
31
provincial
units
Chinese
mainland
2000
to
2019.
The
results
show
that:
(1)
China
2019
had
obvious
stage
characteristics.
(2)
coordination
degree
was
enhanced
overall.
Areas
higher
presented
distribution
small
agglomeration
large
dispersion,
while
low-level
areas
were
distributed
spots.
(3)
Different
various
effects
CLUT.
topography
played
inhibitory
transition,
influence
showed
differences
between
east
west
regions.
effect
construction
demand
index
shifted
inhibition
promotion,
gross
agricultural
economic
output
total
power
machinery
insignificant.
Land,
Journal Year:
2024,
Volume and Issue:
13(5), P. 608 - 608
Published: April 30, 2024
Intensive
economic
and
human
activities
present
challenges
to
the
carbon
storage
capacity
of
terrestrial
ecosystems,
particularly
in
arid
regions
that
are
sensitive
climate
change
ecologically
fragile.
Therefore,
accurately
estimating
simulating
future
changes
stocks
on
northern
slope
belt
Tianshan
Mountains
(NSEBTM)
holds
great
significance
for
maintaining
ecosystem
stability,
achieving
high-quality
development
belt,
realizing
goal
“carbon
neutrality”
by
2050.
This
study
examines
spatiotemporal
evolution
characteristics
NSEBTM
from
1990
2050,
utilizing
a
combination
multi-source
data
integrating
Patch-generating
Land
use
Simulation
(PLUS)
Integrated
Valuation
Ecosystem
Services
Trade-offs
(InVEST)
models.
Additionally,
an
attribution
analysis
stock
is
conducted
leveraging
land
data.
The
findings
demonstrate
(1)
predominantly
consists
underutilized
land,
accounting
more
than
60%
total
area
NSEBTM.
Unused
grassland,
water
bodies
exhibit
declining
trend
over
time,
while
other
forms
increasing
trend.
(2)
Grassland
serves
as
primary
reservoir
NSEBTM,
with
grassland
degradation
being
leading
cause
loss
amounting
102.35
t
past
three
decades.
(3)
Under
ecological
conservation
scenario
2050
compared
natural
scenario,
there
was
net
increase
12.34
t;
however,
under
decrease
25.88
t.
By
quantitatively
evaluating
its
impact
projected
next
30
years,
this
paper
provides
scientific
references
precise
support
territorial
spatial
decision
making
thereby
facilitating
achievement
goals.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(18), P. 4472 - 4472
Published: Sept. 12, 2023
Rapidly
predicting
and
revealing
the
spatiotemporal
characteristics
driving
factors
of
land-use
changes
in
carbon
storage
within
megacities
under
different
scenarios
is
crucial
to
achieving
sustainable
development.
In
this
study,
Jinan
City
(JNC)
taken
as
study
area,
Markov-FLUS-InVEST
model
utilized
predict
analyze
variation
2030
three
scenarios,
namely,
natural
development
scenario
(S1),
ecological
conservation
(S2),
economic
(S3).
The
drivers
were
identified
using
an
optimal
parameter-based
geographic
detection
(OPGD)
model.
findings
indicate
that
(1)
land
use
from
2010
2018
shows
a
trend
continuous
expansion
construction
reduction
arable
land.
(2)
main
types
pools
cropland,
forest,
grassland,
accounting
for
more
than
96%
total
amount.
Carbon
showed
decreasing
2018,
type
pool
decreased
was
cropland.
center
gravity
increases
decreases
located
southern
Lixia
District,
increase
decrease
moved
southwest
by
3057.48
m
1478.57
m,
respectively.
(3)
From
2030,
reductions
stocks
3.20
×
106
t
2.60
4.26
(S3),
release
about
9
times
4
10
(S3)
sink.
(4)
contribution
slope
(A2)
∩
nighttime
light
index
(B6)
elevation
(A1)
regional
heterogeneity
largest
among
interaction
drivers.
To
sum
up,
deepens
simulation
spatial
temporal
dynamics
related
mechanism,
which
can
provide
basis
scientific
decision-making
cities
conduct
territorial
planning
protection
restoration.
Land Degradation and Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
ABSTRACT
To
study
the
connection
between
land
use
and
regional
ecological
carbon
stocks,
predicting
future
evolution
of
understanding
trends
changes
in
stocks
are
essential
to
environmental
protection
sustainable
development.
However,
within
ecosystems
driven
by
land‐use
land‐cover
change
(LUCC)
characterized
large
uncertainties.
This
took
Tianshan
North
Slope
Economic
Belt
Xinjiang
Autonomous
Region,
China,
as
an
example
investigate
spatiotemporal
their
relationship
with
LUCC,
used
11
variables
a
Geo
Detector
model
analyze
drivers
spatial
differentiation
stocks.
We
trained
six
predict
under
natural
development
scenario
(NDS)
(EPS)
2030.
The
following
results
were
obtained:
(1)
was
dominated
unused
20‐year
period
(2000–2020).
Grassland
showed
continuous
decrease;
decreased
then
increased,
while
others
continued
increase.
most
drastic
for
cropland,
which
7785
km
2
(an
increase
39.76%),
grassland
reduced
9402
(a
decrease
9.05%).
(2)
Carbon
increasing
decreasing
trend,
overall
2.05
×
10
6
t.
distribution
more
centralized
southwest,
showing
slice‐like
bands,
higher
values
irregular
form
northeastern
portion
region.
(3)
NDS
reached
1427.50
5
t,
6.26
t
compared
2020;
EPS,
they
1427.79
6.29
mainly
due
conversion.
Therefore,
restoration
should
continue
be
strengthened
future.
(4)
NDVI
soil
erosion
had
strong
explanatory
power
variability
There
two‐factor
nonlinear
enhancement
interaction
different
factors,
indicating
that
human
factors
enhance
explanation
variation,
can
applied
Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2149 - 2149
Published: Dec. 10, 2024
As
a
focal
point
in
contemporary
land
system
science
research,
use
transitions
significantly
impact
the
ecological
environment.
Zhaosu
County,
typical
county
arid
region
of
Northwest
China,
offers
significant
insights
into
processes
transition
and
their
effects
on
Studying
these
dynamics
is
crucial
for
county’s
rational
spatial
allocation
sustainable
development.
Based
remote
sensing
monitoring
data
County
2000,
2010,
2018,
this
article
classified
according
to
three
primary
functions:
“production,
living,
ecological”.
By
comprehensively
applying
research
methods
transfer
matrix
model,
center
gravity
shift
eco-environmental
quality
index,
regional
ecosystem
contributions,
paper
quantitatively
analyzed
process
functional
from
2000
2018
scientifically
investigated
spatiotemporal
distribution
characteristics
as
well
varying
impacts
This
indicates
that:
(1)
From
initially
experienced
an
increase
followed
by
decrease;
contrast,
production
underwent
decline
before
rebounding,
while
living
has
shown
continuous
upward
trajectory.
(2)
The
uses
unbalanced,
all
shifted
during
study
period.
Among
them,
water
area
other
most
pronounced
displacements,
migration
intensified
gradually
diminishing,
degree
deviation
urban
was
least
pronounced.
(3)
comprehensive
index
continued
0.584
0.549
indicating
persistent
degradation
trend
environment
quality.
(4)
negative
outweighed
positive
effects,
main
factors
contributing
were
grassland
snowline.
Forests,
Journal Year:
2024,
Volume and Issue:
15(7), P. 1225 - 1225
Published: July 15, 2024
Ecological
restoration
programs
(ERPs)
can
lead
to
dramatic
land
use
change,
thereby
affecting
ecosystem
services
and
their
interaction.
Determining
the
optimal
ERPs
is
a
crucial
issue
for
ecological
in
ecologically
fragile
regions.
This
study
analyzed
impacts
of
change
on
four
water-related
(WESs),
namely
water
yield,
soil
retention,
purification,
food
production
Ganjiang
River
basin,
China
during
past
two
decades.
Then,
trade-off
synergy
between
WESs
were
detected
based
correlation
analysis.
Finally,
quantify
effect
WESs,
we
comprehensively
considered
types
intensity
designed
categories
scenarios:
returning
farmland
forest
(RFF)
scenarios;
planting
(PF)
riparian
forestland
buffer
(RFB)
grassland
(RGB)
scenarios.
Each
category
contains
five
scenarios
different
intensities.
The
results
showed
that
increased
while
purification
decreased
from
2000
2020.
deterioration
quality
was
mainly
due
transitions
built-up
land.
Trade-offs
only
occurred
regulating
provisioning
services.
Among
all
scenarios,
RFF
significantly
improve
retention
at
same
time,
although
will
decrease.
Considering
security,
with
slope
greater
than
10
degrees
scenario
area.
highlighted
both
type
should
be
restoration.
contribute
basin
other
subtropical
mountainous
