Land Degradation and Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 28, 2024
ABSTRACT
The
ability
of
ecosystems
to
resist
and
recover
from
external
disturbances
is
declining
due
climate
change,
increased
frequency
disasters,
intensified
human
activities.
Global
vegetation
resilience
considered
be
at
risk
being
lost.
sensitive
fragile
Tibetan
Plateau
(TP)
has
experienced
changes
in
management
patterns
over
the
past
five
decades,
but
complexity
defining
resilience,
there
still
no
unified
understanding
spatial
long
time‐series
trends
on
TP.
In
this
study,
we
introduce
method
based
critical
slowing
down,
making
it
possible
clarify
distribution
temporal
dynamics
results
show
low
northeastern
southwestern
edges
TP
Three
River
Source
region.
area
experiencing
loss
approximately
1.16–1.44
times
larger
than
gain.
Vegetation
exhibited
a
trend,
with
rate
decline
after
2014
more
double
that
preceding
period.
Factors
such
as
elevation,
type,
hydrothermal
condition
significantly
influence
resilience.
These
findings
improve
our
its
ecosystem
vulnerability.
We
also
recommend
ecological
restoration
efforts
maintained
regularly
assessed.
Transactions in Earth Environment and Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 12, 2025
Urbanization
has
increasingly
disrupted
natural
ecosystems,
leading
to
various
environmental
problems
and
slowing
sustainable
economic
social
development.
Ecological
restoration
zoning
is
key
efficient
efforts
helps
balance
growth
with
ecological
protection.
This
study
develops
an
risk
evaluation
system,
constructs
security
pattern,
identifies
urban
construction
space
guide
the
of
Jiaozuo
City.
The
goal
create
a
scientific
practical
program.
findings
are
as
follows:
(1)
in
area
characterized
by
distribution
‘low
northern
mountains
southern
mudflats
high
central
plains’,
whereas
resilience
‘high
low
plains’.
(2)
pattern
led
identification
57
source
areas,
164
corridors,
254
pinch
points,
36
barrier
points.
(3)
divides
into
five
zones:
protection,
priority
restoration,
general
management,
moderate
utilization,
zones.
Each
zone
requires
specific
strategies
for
recovery.
provides
foundation
spatial
planning,
green
development
also
new
perspective
framework
research.
Frontiers in Plant Science,
Journal Year:
2025,
Volume and Issue:
16
Published: March 12, 2025
With
the
increasing
threats
of
global
climate
change
and
human
activities
to
terrestrial
ecosystems,
understanding
quality
alpine
grassland
ecosystems
their
influencing
factors
is
fundamental
for
effective
ecosystem
management
improving
well-being.
However,
current
adaptive
plans
grasslands
based
on
multi-criteria
assessment
are
limited.
This
study
utilized
field
investigations
at
77
sampling
points,
drone
remote
sensing,
satellite
sensing
data
construct
an
index
vegetation
soil
indicators,
assess
ecosystem’s
resilience
pressure.
The
revealed
that
Tibetan
Plateau
were
classified
into
five
zones,
indicating
significant
differences
in
pressure
levels.
Key
findings
showed
High-Quality
Pressure
Zone
comprise
41.88%
area
meadow
31.89%
steppe,
while
Quality
Improvement-Limitation
account
21.14%
35.8%
respective
areas.
recommends
graded
protection
recovery
strategies
levels:
prioritizing
high-quality
grasslands,
implementing
dynamic
monitoring
enhancement
moderate-quality
applying
artificial
interventions
suitable
species
low-quality
grasslands.
research
underscores
importance
zoning-based
sustainable
provides
valuable
insights
Plateau.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: April 22, 2025
A
comprehensive
understanding
of
the
spatiotemporal
changes
and
influencing
factors
ecosystem
service
levels
is
crucial
for
regional
sustainable
development
coordination.
The
Yellow
River
Basin
faces
challenges
such
as
ecological
degradation
due
to
uneven
burdens.
This
study
constructed
an
evaluation
framework
based
on
five
dimensions.
combined
weighting
model
was
used
assess
levels,
characteristics,
nine
provincial
capital
cities
in
from
2010
2020.
results
indicated
that:
(1)
There
were
notable
differences
among
Basin.
first
category
cities,
rich
tourism
resources,
exhibited
high
levels.
second
currently
undergoing
industrial
green
transformation,
urgently
needed
achieve
a
balance
between
economic
protection.
third
faced
poor
socioeconomic
conditions
limited
resources.
(2)
Resource
energy
use,
Ecological
environmental
protection,
Socioeconomic
most
significant
dimensions
(3)
Indicators
per
capita
disposable
income,
road
area,
urban
coverage,
electricity
consumption
unit
GDP,
number
higher
education
institutions
had
considerable
impact
suggests
optimizing
structure,
promoting
clean
development,
supporting
strengthening
infrastructure
enhance
protect
services
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(10), P. 1787 - 1787
Published: May 20, 2025
The
coupling
coordination
relationship
between
ecosystem
services
supply–demand
and
human
well-being
in
arid
inland
regions
is
increasingly
vulnerable
to
imbalance
risks
under
the
combined
pressures
of
climate
change
intensified
anthropogenic
activities.
Here,
we
assessed
dynamic
changes
supply–demand,
well-being,
their
relationships
influencing
factors
Hexi
Regions
by
integrating
remote
sensing
data,
ecological
model,
ratio
(ESDR),
degree
(CCD)
partial
least
squares
structural
equation
modeling
(PLS-SEM).
Our
results
showed
that
six
key
supply,
demand,
ESDR
from
1990
2020
exhibited
greater
surplus
Qilian
Mountains
stronger
deficits
urban
surrounding
areas
Corridor.
deficit
water
yield
accounted
for
32%
Corridor
with
large
cropland
irrigated,
four
times
Mountains,
indicating
a
serious
mismatch
space
time.
Additionally,
survival-oriented
across
still
dominant.
Overall,
progressed
towards
high
level
coordination,
higher
values
observed
oases
central
eastern
Mountains.
food
production
where
CCD
was
generally
exceeded
0.7.
Climate,
vegetation,
land
use
intensity
were
drivers
spatial
heterogeneity
CCD.
Human
made
contribution
than
other
elements
influence
paths.
can
provide
reference
promoting
coordinated
development
environment
sustainable
regions.
